Publications
2022
- M. Lino, S. Fotiadis, A. A. Bharath, and C. D. Cantwell, “Multi-scale rotation-equivariant graph neural networks for unsteady eulerian fluid dynamics,” Physics of Fluids, vol. 34, iss. 8, p. 32 pages (approx), 2022. doi:10.1063/5.0097679
[BibTeX] [Download PDF]@article{Lino2022, author = {Lino,Mario and Fotiadis,Stathi and Bharath,Anil A. and Cantwell,Christopher David }, title = {Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics}, journal = {{P}hysics of {F}luids}, volume = {34}, number = {8}, pages = {32 pages (approx)}, year = {2022}, doi = {10.1063/5.0097679}, URL = {https://doi.org/10.1063/5.0097679}, eprint = {https://doi.org/10.1063/5.0097679} } - N. Wong, S. Meshkinfamfard, V. Turbé, M. Whitaker, M. Moshe, A. Bardanzellu, T. Dai, E. Pignatelli, W. Barclay, A. Darzi, and others, “Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies,” Nature Communications Medicine, vol. 2, iss. 1, 2022.
[BibTeX]@article{wongmachine2022, title={Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for {SARS}-{CoV}-2 antibodies}, author={Wong, N and Meshkinfamfard, S and Turb{\'e}, V and Whitaker, M and Moshe, M and Bardanzellu, A and Dai, T and Pignatelli, E and Barclay, W and Darzi, A and others}, journal = {Nature {C}ommunications {M}edicine}, volume=2, number=1, year=2022, publisher={Nature Research} } - T. Dai, K. Arulkumaran, T. Gerbert, S. Tukra, F. Behbahani, and A. A. Bharath, “Analysing deep reinforcement learning agents trained with domain randomisation,” Neurocomputing, vol. 493, pp. 143-165, 2022. doi:https://doi.org/10.1016/j.neucom.2022.04.005
[BibTeX] [Download PDF]@article{DAI2022143, title = {Analysing deep reinforcement learning agents trained with domain randomisation}, journal = {Neurocomputing}, volume = {493}, pages = {143-165}, year = {2022}, issn = {0925-2312}, doi = {https://doi.org/10.1016/j.neucom.2022.04.005}, url = {https://www.sciencedirect.com/science/article/pii/S0925231222003708}, author = {Tianhong Dai and Kai Arulkumaran and Tamara Gerbert and Samyakh Tukra and Feryal Behbahani and Anil Anthony Bharath}, } - M. L. Valencia, S. Fotiadis, A. A. Bharath, and C. D. Cantwell, “REMuS-GNN: a rotation-equivariant model for simulating continuum dynamics,” in ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022.
[BibTeX]@inproceedings{valencia2022remus, title={{REMuS-GNN}: A Rotation-Equivariant Model for Simulating Continuum Dynamics}, author={Valencia, Mario Lino and Fotiadis, Stathi and Bharath, Anil Anthony and Cantwell, Chris D}, booktitle={{ICLR} 2022 {W}orkshop on {G}eometrical and {T}opological {R}epresentation {L}earning}, year={2022} } - M. L. Valencia, S. Fotiadis, A. A. Bharath, and C. D. Cantwell, “Towards fast simulation of environmental fluid mechanics with multi-scale graph neural networks,” in ICLR 2022 Workshop on #AI for Earth Sciences, 2022.
[BibTeX]@inproceedings{valencia2022tfefm, title={Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks}, author={Valencia, Mario Lino and Fotiadis, Stathi and Bharath, Anil Anthony and Cantwell, Chris D}, booktitle={{ICLR} 2022 {W}orkshop on #{AI} for {E}arth {S}ciences}, year={2022} } - C. Herrero Martin, A. Oved, R. A. Chowdhury, E. Ullmann, N. S. Peters, A. A. Bharath, and M. Varela, “EP-PINNs: cardiac electrophysiology characterisation using physics-informed neural networks,” Frontiers in Cardiovascular Medicine, p. 2179, 2022.
[BibTeX]@article{herrero2022ep, title={{EP}-{PINN}s: Cardiac Electrophysiology Characterisation Using Physics-Informed Neural Networks}, author={Herrero Martin, Clara and Oved, Alon and Chowdhury, Rasheda A and Ullmann, Elisabeth and Peters, Nicholas S and Bharath, Anil A and Varela, Marta}, journal={Frontiers in {C}ardiovascular {M}edicine}, pages={2179}, year={2022}, publisher={Frontiers} } - T. Dai, Y. Du, M. Fang, and A. A. Bharath, “Diversity-augmented intrinsic motivation for deep reinforcement learning,” Neurocomputing, vol. 468, p. 396–406, 2022.
[BibTeX]@article{dai2022diversity, title={Diversity-augmented intrinsic motivation for deep reinforcement learning}, author={Dai, Tianhong and Du, Yali and Fang, Meng and Bharath, Anil Anthony}, journal={Neurocomputing}, volume={468}, pages={396--406}, year={2022}, publisher={Elsevier} } - S. Zaman, C. Petri, K. Vimalesvaran, J. Howard, A. Bharath, D. Francis, N. S. Peters, G. D. Cole, and N. Linton, “Automatic diagnosis labeling of cardiovascular MRI by using semisupervised natural language processing of text reports,” Radiology: Artificial Intelligence, vol. 4, iss. 1, p. e210085, 2022. doi:10.1148/ryai.210085
[BibTeX] [Download PDF]@article{zaman2022, author={Zaman, Sameer and Petri, Camille and Vimalesvaran, Kavitha and Howard, James and Bharath, Anil and Francis, Darrel and Peters, Nicholas S. and Cole, Graham D. and Linton, Nick}, title = {Automatic Diagnosis Labeling of Cardiovascular {MRI} by Using Semisupervised Natural Language Processing of Text Reports}, journal = {{R}adiology: {A}rtificial {I}ntelligence}, volume = {4}, number = {1}, pages = {e210085}, year = {2022}, doi = {10.1148/ryai.210085}, note ={PMID: 35146435}, URL = {https://doi.org/10.1148/ryai.210085}, } - F. Uslu, M. Varela, G. Boniface, T. Mahenthran, H. Chubb, and A. A. Bharath, “LA-Net: a multi-task deep network for the segmentation of the left atrium,” IEEE transactions on medical imaging, vol. 41, iss. 2, pp. 456-464, 2022. doi:10.1109/TMI.2021.3117495
[BibTeX]@ARTICLE{9557323, author={Uslu, Fatmatülzehra and Varela, Marta and Boniface, Georgia and Mahenthran, Thakshayene and Chubb, Henry and Bharath, Anil A.}, journal={{IEEE} Transactions on Medical Imaging}, title={{LA-Net}: A Multi-Task Deep Network for the Segmentation of the Left Atrium}, year={2022}, volume={41}, number={2}, pages={456-464}, doi={10.1109/TMI.2021.3117495} }
2021
- S. Fotiadis, M. Lino, C. Cantwell, and A. Bharath, “Disentangling ODE parameters from dynamics in VAEs,” in International Conference on Machine Learning – Semi-Supervised Learning Workshop, 2021.
[BibTeX] [Download PDF]@inproceedings{Fotiadis2021, archivePrefix = {arXiv}, arxivId = {2108.11684}, author = {Fotiadis, Stathi and Lino, Mario and Cantwell, Chris and Bharath, Anil}, booktitle = {{International Conference on Machine Learning - Semi-Supervised Learning Workshop}}, eprint = {2108.11684}, title = {{Disentangling ODE parameters from dynamics in VAEs}}, url = {https://arxiv.org/abs/2108.11684v1}, year = {2021} } - Y. Liu, Z. Zou, Y. Yang, N. B. Law, and A. A. Bharath, “Efficient source camera identification with diversity-enhanced patch selection and deep residual prediction,” Sensors, vol. 21, iss. 14, p. 4701, 2021.
[BibTeX]@article{liu2021efficient, title={Efficient source camera identification with diversity-enhanced patch selection and deep residual prediction}, author={Liu, Yunxia and Zou, Zeyu and Yang, Yang and Law, Ngai-Fong Bonnie and Bharath, Anil Anthony}, journal={Sensors}, volume={21}, number={14}, pages={4701}, year={2021}, publisher={Multidisciplinary Digital Publishing Institute} } - C. Galazis, K. Vimalesvaran, S. Zaman, C. Petri, J. Howard, N. Linton, N. Peters, G. Cole, A. Bharath, and M. Varela, “Framework for large-scale automatic curation of heterogeneous cardiac MRI (ACUR MRI),” European Heart Journal – Cardiovascular Imaging, vol. 22, iss. Supplement_2, 2021. doi:10.1093/ehjci/jeab090.131
[BibTeX] [Download PDF]@article{galazis:21, author = {Galazis, C and Vimalesvaran, K and Zaman, S and Petri, C and Howard, J and Linton, N and Peters, N and Cole, G and Bharath, AA and Varela, M}, title = "{Framework for large-scale automatic curation of heterogeneous cardiac MRI (ACUR MRI)}", journal = {{European Heart Journal - Cardiovascular Imaging}}, volume = {22}, number = {Supplement_2}, year = {2021}, month = {07}, issn = {2047-2404}, doi = {10.1093/ehjci/jeab090.131}, url = {https://doi.org/10.1093/ehjci/jeab090.131}, note = {jeab090.131}, eprint = {https://academic.oup.com/ehjcimaging/article-pdf/22/Supplement\_2/jeab090.131/38937996/jeab090.131.pdf}, } - T. Dai, H. Liu, K. Arulkumaran, G. Ren, and A. A. Bharath, “Diversity-based trajectory and goal selection with hindsight experience replay,” in PRICAI 2021: Trends in Artificial Intelligence, 18th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, November, 8-12, 2021, Proceedings, 2021.
[BibTeX]@inproceedings{pricai21, author = {Tianhong Dai and Hengyan Liu and Kai Arulkumaran and Guangyu Ren and Anil Anthony Bharath}, title = {Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay}, editor = {Duc-Nghia Pham and Thanaruk Theeramunkong and Guido Governatori and Fenrong Liu}, booktitle = {{PRICAI 2021: Trends in Artificial Intelligence, 18th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, November, 8-12, 2021, Proceedings}}, series = {{Lecture Notes in Computer Science}}, volume = {13033}, publisher = {Springer}, year = {2021} } - J. Whittlestone, K. Arulkumaran, and M. Crosby, “The societal implications of deep reinforcement learning,” Journal of Artificial Intelligence Research, vol. 70, p. 1003–1030, 2021.
[BibTeX]@article{whittlestone2021societal, title={The Societal Implications of Deep Reinforcement Learning}, author={Whittlestone, Jess and Arulkumaran, Kai and Crosby, Matthew}, journal={{Journal of Artificial Intelligence Research}}, volume={70}, pages={1003--1030}, year={2021} } - J. P. Howard, S. Zaman, A. Ragavan, K. Hall, G. Leonard, S. Sutanto, V. Ramadoss, Y. Razvi, N. F. Linton, A. Bharath, and others, “Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition,” The International Journal of Cardiovascular Imaging, p. 1–10, 2021. doi:10.1007/s10554-020-02050-w
[BibTeX]@article{howard2020automated, title={Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition}, author={Howard, James P and Zaman, Sameer and Ragavan, Aaraby and Hall, Kerry and Leonard, Greg and Sutanto, Sharon and Ramadoss, Vijay and Razvi, Yousuf and Linton, Nick F and Bharath, Anil and others}, journal={The {I}nternational {J}ournal of {C}ardiovascular {I}maging}, pages={1--10}, year={2021}, doi={10.1007/s10554-020-02050-w}, publisher={Springer} }
2020
- B. M. Davis, L. Guo, N. Ravindran, E. Shamsher, V. Baekelandt, H. Mitchell, A. A. Bharath, L. D. Groef, and F. M. Cordeiro, “Dynamic changes in cell size and corresponding cell fate after optic nerve injury,” Scientific reports, vol. 10, iss. 21683, 2020. doi:10.1038/s41598-020-77760-1
[BibTeX]@article{davis:20, title={Dynamic Changes in Cell Size and Corresponding Cell Fate After Optic Nerve Injury}, author={Benjamin M Davis and Li Guo and Nivedita Ravindran and Ehtesham Shamsher and Veerle Baekelandt and Hannah Mitchell and Anil A Bharath and Lies De Groef and M Francesca Cordeiro}, journal={Scientific Reports}, volume = {10}, number = 21683, doi = {10.1038/s41598-020-77760-1}, year = 2020 } - M. Lino, C. Cantwell, S. Fotiadis, E. Pignatelli, and A. A. Bharath, “Simulating surface wave dynamics with convolutional networks,” in (accepted) NeurIPS workshop on interpretable inductive biases and physically structured learning, 2020.
[BibTeX]@inproceedings{Lino:2020NeurIPS, title={Simulating Surface Wave Dynamics with Convolutional Networks}, author = {Mario Lino and Cantwell, Chris and Fotiadis, Stathi and Pignatelli, Eduardo and Bharath, Anil Anthony}, booktitle={(accepted) {NeurIPS} Workshop on Interpretable Inductive Biases and Physically Structured Learning}, year={2020}, } - T. Dai, H. Liu, and A. A. Bharath, “Episodic self-imitation learning with hindsight,” Electronics; Special Issue on Deep Reinforcement Learning: Methods and Applications, vol. 9, iss. 10, p. article ID: 1742, 18 pages, 2020. doi:10.3390/electronics9101742
[BibTeX]@article{dai:2020, author = {Tianhong Dai and Hengyan Liu and Anil Anthony Bharath}, title = {Episodic Self-Imitation Learning with Hindsight}, journal = {Electronics; {Special Issue on Deep Reinforcement Learning: Methods and Applications}}, volume = 9, number = 10, month = {Oct}, year = 2020, pages = {article ID: 1742, 18 pages}, doi = {10.3390/electronics9101742} } - A. Lourenço, E. Kerfoot, C. Dibblin, E. Alskaf, Mustafa Anjari, A. A. Bharath, A. P. King, H. Chubb, T. M Correia, and M. Varela, “Left atrial ejection fraction estimation using seganet for fully automated segmentation of cine mri,” in STACOM 2020 – 11th Workshop on Statistical Atlases and Computational Modelling of the Heart, 2020, p. 9 pages.
[BibTeX]@inproceedings{lourenco:2020, title = {Left atrial ejection fraction estimation using SEGANet for fully automated segmentation of CINE MRI}, author = {Ana Louren\c{c}o and Eric Kerfoot and Connor Dibblin and Ebraham Alskaf and Mustafa Anjari and Anil A Bharath and Andrew P King and Henry Chubb and Teresa M Correia and Marta Varela}, booktitle = {{STACOM} 2020 -- 11th {W}orkshop on {S}tatistical {A}tlases and {C}omputational {M}odelling of the {H}eart}, volume = {029}, pages = {9 pages}, year = 2020 } - J. Brook, M. Kim, S. Koutsoftidis, D. Pitcher, D. Agha-Jaffar, A. Sufi, C. Jenkins, K. Tzortzis, S. Ma, R. Jabbour, C. Houston, B. Handa, X. Li, J. Chow, A. Jothidasan, P. Bristow, J. Perkins, S. Harding, A. Bharath, and R. Chowdhury, “Development of a pro-arrhythmic ex vivo intact human and porcine model: cardiac electrophysiological changes associated with cellular uncoupling,” Pflügers Archiv – European Journal of Physiology, vol. 472, 2020. doi:10.1007/s00424-020-02446-6
[BibTeX]@article{brook:2020, author = {Brook, Joseph and Kim, Min-Young and Koutsoftidis, Simos and Pitcher, David and Agha-Jaffar, Danya and Sufi, Annam and Jenkins, Catherine and Tzortzis, Konstantinos and Ma, Suofeiya and Jabbour, Richard and Houston, Charles and Handa, Balvinder and Li, Xinyang and Chow, Ji-Jian and Jothidasan, Anand and Bristow, Poppy and Perkins, Justin and Harding, Sian and Bharath, Anil and Chowdhury, Rasheda}, year = {2020}, month = {10}, pages = {}, title = {Development of a pro-arrhythmic ex vivo intact human and porcine model: cardiac electrophysiological changes associated with cellular uncoupling}, volume = {472}, journal = {Pflügers {A}rchiv - {E}uropean {J}ournal of {P}hysiology}, doi = {10.1007/s00424-020-02446-6} } - M. Varela, S. Queiró, M. Anjari, T. Correia, A. P. King, A. A. Bharath, and J. Lee, “Strain maps of the left atrium imaged with a novel high-resolution cine mri protocol,” in Proceedings of the 43rd Annual IEEE Engineering in Medicine and Biology Conference, 2020, p. in press.
[BibTeX]@inproceedings{varela:2020, author = {Marta Varela and Sandro Queir\'{o} and Mustafa Anjari and Teresa Correia and Andrew P King and Anil A Bharath and Jack Lee}, title = {Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol}, booktitle = {Proceedings of the 43rd {A}nnual {IEEE} {E}ngineering in {M}edicine and {B}iology {C}onference}, pages = {in press}, year = 2020 } - F. Uslu, M. Varela, and A. A. Bharath, “A semi-automatic method to segment the left atrium in mr volumes with varying slice numbers,” in Proceedings of the 43rd annual ieee engineering in medicine and biology conference, 2020, p. in press.
[BibTeX]@inproceedings{Uslu2020, author = {Fatmat\"{u}lzehra Uslu and Marta Varela and Anil A Bharath}, title = {A Semi-Automatic Method to Segment the Left Atrium in MR Volumes with Varying Slice Numbers}, booktitle = {Proceedings of the 43rd Annual IEEE Engineering in Medicine and Biology Conference}, pages = {in press}, year = 2020 } - S. Fotiadis, E. Pignatelli, M. L. Valencia, C. Cantwell, A. Storkey, and A. A. Bharath, “Comparing recurrent and convolutional neural networks for predicting wave propagation,” in ICLR Workshop on Deep Neural Models and Differential Equations, 2020.
[BibTeX] [Download PDF]@inproceedings{Fotiadis2020, author = {Fotiadis, Stathi and Pignatelli, Eduardo and Valencia, Mario Lino and Cantwell, Chris and Storkey, Amos and Bharath, Anil A.}, title = {{Comparing recurrent and convolutional neural networks for predicting wave propagation}}, url = {http://arxiv.org/abs/2002.08981}, year = {2020}, booktitle = {{ICLR} {W}orkshop on {Deep Neural Models and Differential Equations}} } - W. Sorteberg, S. Garasto, C. Cantwell, and A. Bharath, “Approximating the solution to surface wave propagation using deep neural networks,” in Proceedings of the International Neural Network Society (INNS) Big Data and Deep Learning Conference, 2020, p. 246–256.
[BibTeX] [Download PDF]@inproceedings{Sorteberg:2020, title = {Approximating the solution to surface wave propagation using deep neural networks}, editor={Oneto, L and Navarin, N and Sperduti, A and Anguita, D}, author = {WE Sorteberg and S Garasto and CD Cantwell and AA Bharath}, booktitle = {Proceedings of the {I}nternational {N}eural {N}etwork {S}ociety ({INNS}) {Big Data and Deep Learning Conference}}, pages = {246--256}, year = 2020, url = {https://doi.org/10.1007/978-3-030-16841-4_26} }
2019
- T. Dai, K. Arulkumaran, S. Tukra, F. Behbahani, and A. A. Bharath, “Analysing deep reinforcement learning agents trained with domain randomisation,” Arxiv preprint arxiv:1912.08324, 2019.
[BibTeX] [Download PDF]@online{Dai:2019b, title = {Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation}, author = {Tianhong Dai and Kai Arulkumaran and Samyakh Tukra and Feryal Behbahani and Anil Anthony Bharath}, journal = {arXiv preprint arXiv:1912.08324}, archivePrefix = "arXiv", eprint = {1912.08324}, year = {2019}, date = {2019-12-18}, url = {https://arxiv.org/abs/1912.08324} } - A. Agostinelli, K. Arulkumaran, M. Sarrico, P. Richemond, and A. A. Bharath, “Memory-efficient episodic control reinforcement learning with dynamic online k-means,” in NeurIPS workshop on biological and artificial reinforcement learning, 2019.
[BibTeX] [Download PDF]@inproceedings{agostinelli2019memory, title={Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means}, author={Agostinelli, Andrea and Arulkumaran, Kai and Sarrico, Marta and Richemond, Pierre and Bharath, Anil Anthony}, booktitle={{NeurIPS} Workshop on Biological and Artificial Reinforcement Learning}, year={2019}, url = {https://arxiv.org/abs/1911.09560} } - M. Sarrico, K. Arulkumaran, A. Agostinelli, P. Richemond, and A. A. Bharath, “Sample-efficient reinforcement learning with maximum entropy mellowmax episodic control,” in NeurIPS workshop on biological and artificial reinforcement learning, 2019.
[BibTeX] [Download PDF]@inproceedings{sarrico2019sample, title={Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control}, author={Sarrico, Marta and Arulkumaran, Kai and Agostinelli, Andrea and Richemond, Pierre and Bharath, Anil Anthony}, booktitle={{NeurIPS} Workshop on Biological and Artificial Reinforcement Learning}, year={2019}, url = {https://arxiv.org/abs/1911.09615} } - T. Dai, M. Dubois, K. Arulkumaran, J. Campbell, C. Bass, B. Billot, F. Uslu, V. D. Paola, C. Clopath, and A. A. Bharath, “Deep Reinforcement Learning for Subpixel Neural Tracking,” in Proceedings of Medical Imaging and Deep Learning, 2019, pp. 130-150.
[BibTeX] [Download PDF]@inproceedings{Dai:2019a, title={Deep {R}einforcement {L}earning for {S}ubpixel {N}eural {T}racking}, author={Tianhong Dai and Magda Dubois and Kai Arulkumaran and Jonathan Campbell and Cher Bass and Benjamin Billot and Fatmatulzehra Uslu and Vincenzo De Paola and Claudia Clopath and Anil Anthony Bharath}, booktitle={Proceedings of {Medical Imaging and Deep Learning}}, volume={102}, url={http://proceedings.mlr.press/v102/dai19a/dai19a.pdf}, pages={130-150}, year={2019} } - R. Tanno, K. Arulkumaran, D. Alexander, A. Criminisi, and A. Nori, “Adaptive neural trees,” in Proceedings of the International Conference on Machine Learning, 2019.
[BibTeX] [Download PDF]@inproceedings{Tanno:2019, title={Adaptive Neural Trees}, author={Tanno, R and Arulkumaran, K and Alexander, DC and Criminisi, A and Nori, A}, booktitle={Proceedings of the {International Conference on Machine Learning}}, url={https://arxiv.org/abs/1807.06699}, year={2019}, } - K. Arulkumaran, A. Cully, and J. Togelius, “Alphastar: an evolutionary computation perspective,” in Proceedings of genetic and evolutionary computation conference companion, 2019.
[BibTeX] [Download PDF]@inproceedings{arulkumaran2019alphastar, title={AlphaStar: An Evolutionary Computation Perspective}, author={Arulkumaran, Kai and Cully, Antoine and Togelius, Julian}, booktitle={Proceedings of Genetic and Evolutionary Computation Conference Companion}, url={https://arxiv.org/abs/1902.01724}, year={2019} } - S. Balaram, K. Arulkumaran, T. Dai, and A. A. Bharath, “A maximum entropy deep reinforcement learning neural tracker,” in International workshop on machine learning in medical imaging, 2019, p. 400–408.
[BibTeX]@inproceedings{balaram2019maximum, title={A Maximum Entropy Deep Reinforcement Learning Neural Tracker}, author={Balaram, Shafa and Arulkumaran, Kai and Dai, Tianhong and Bharath, Anil Anthony}, booktitle={International Workshop on Machine Learning in Medical Imaging}, pages={400--408}, year={2019}, organization={Springer} } - C. Bass, T. Dai, B. Billot, K. Arulkumaran, A. Creswell, C. Clopath, V. D. Paola, and A. A. Bharath, “Image Synthesis with a Convolutional Capsule Generative Adversarial Network,” in Proceedings of Medical Imaging and Deep Learning, 2019, pp. 39-62.
[BibTeX] [Download PDF]@inproceedings{Bass:2019, title={Image {S}ynthesis with a {C}onvolutional {C}apsule {G}enerative {A}dversarial {N}etwork}, author={Cher Bass and Tianhong Dai and Benjamin Billot and Kai Arulkumaran and Antonia Creswell and Claudia Clopath and Vincenzo De Paola and Anil Anthony Bharath}, booktitle={Proceedings of {Medical Imaging and Deep Learning}}, url={http://proceedings.mlr.press/v102/bass19a/bass19a.pdf}, vol={102}, pages={39-62}, year={2019} } - S. Garasto, W. Nicola, A. Bharath, and S. Schultz, “Neural sampling strategies for visual stimulus reconstruction from two-photon imaging of mouse primary visual cortex,” in Proceedings of the 9th International EMBS conference on Neural Engineering (in press), 2019, p. 8 pages.
[BibTeX] [Download PDF]@inproceedings{Garasto:2019a, title = {Neural sampling strategies for visual stimulus reconstruction from two-photon imaging of mouse primary visual cortex}, author = {S Garasto and W Nicola and AA Bharath and SR Schultz}, booktitle = {Proceedings of the 9th {I}nternational {EMBS} Conference on {Neural Engineering} (in press)}, pages = {8 pages}, url = {https://www.biorxiv.org/content/biorxiv/early/2018/11/04/460659.full.pdf}, year = 2019 } - A. Creswell and A. A. Bharath, “Inverting the generator of a generative adversarial network,” IEEE Transactions on Neural Networks and Learning Systems (accepted), 2019.
[BibTeX] [Download PDF]@article{creswell:2019, author = {A Creswell and A A Bharath}, journal = {{IEEE Transactions on Neural Networks and Learning Systems (accepted)}}, title = {Inverting the Generator of a Generative Adversarial Network}, year = 2019, url ={https://arxiv.org/abs/1611.05644} }
2018
- W. Sorteberg, S. Garasto, A. Pouplin, C. Cantwell, and A. A. Bharath, “Approximating the Solution to Wave Propagation using Deep Neural Networks,” in NeurIPS Workshop on Modeling the Physical World: Perception, Learning, and Control, 2018.
[BibTeX] [Download PDF]@inproceedings{Sorteberg2018, author = {Sorteberg, William and Garasto, Stef and Pouplin, Alison and Cantwell, Chris and Bharath, Anil A.}, title = {{Approximating the Solution to Wave Propagation using Deep Neural Networks}}, url = {arXiv preprint arXiv:1812.01609}, year = {2018}, month = {December}, venue = {Montreal, Canada}, booktitle = {{NeurIPS} {W}orkshop on {Modeling the Physical World: Perception, Learning, and Control}} } - F. Uslu and A. A. Bharath, “A recursive Bayesian approach to describe retinal vasculature geometry,” Pattern Recognition (accepted), p. ~25 pages, 2018.
[BibTeX] [Download PDF]@article{uslu2018Recursive, journal = {{Pattern Recognition} (accepted)}, title = {A Recursive {B}ayesian Approach To Describe Retinal Vasculature Geometry}, author = {F Uslu and A A Bharath}, year = 2018, url = {https://doi.org/10.1016/j.patcog.2018.10.017}, issn = "0031-3203", pages = {~25 pages} } - A. Creswell and A. A. Bharath, “Denoising adversarial autoencoders,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-17, 2018. doi:10.1109/TNNLS.2018.2852738
[BibTeX]@ARTICLE{creswell:2018, author={A. Creswell and A. A. Bharath}, journal={{IEEE Transactions on Neural Networks and Learning Systems}}, title={Denoising Adversarial Autoencoders}, month = {Aug}, year={2018}, pages={1-17}, doi={10.1109/TNNLS.2018.2852738}, ISSN={2162-237X}, month={},} - A. Creswell, A. Pouplin, and A. A. Bharath, “Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data,” IET Computer Vision, 2018. doi:10.1049/iet-cvi.2018.5243
[BibTeX]@article{CreswellPouplin:2018, author = {Antonia Creswell and Alison Pouplin and Anil A Bharath}, title = {Denoising Adversarial Autoencoders: Classifying Skin Lesions Using Limited Labelled Training Data}, journal = {{IET} {C}omputer {V}ision}, month = {Sep}, doi = {10.1049/iet-cvi.2018.5243}, Year = 2018, } - F. Uslu and A. A. Bharath, “A multi-task network to detect junctions in retinal vasculature,” in Proceedings of MICCAI, 2018, p. 8 pages.
[BibTeX] [Download PDF]@inproceedings{Uslu:2018, title = {A Multi-task Network to Detect Junctions in Retinal Vasculature}, author = {Fatmatulzehra Uslu and Anil A Bharath}, booktitle = {Proceedings of {MICCAI}}, pages = {8 pages}, url = {https://arxiv.org/abs/1806.03175}, year = 2018 } - A. Creswell, T. White, V. Dumoulin, K. Arulkumaran, B. Sengupta, and A. A. Bharath, “Generative adversarial networks: an overview,” IEEE Signal Processing Magazine, vol. 35, iss. 1, pp. 53-65, 2018.
[BibTeX] [Download PDF]@article{creswellganreview:2018, author = {Antonia Creswell and Tom White and Vincent Dumoulin and Kai Arulkumaran and Biswa Sengupta and Anil A Bharath}, title = {Generative Adversarial Networks: An Overview}, journal = {{IEEE} {S}ignal {P}rocessing {M}agazine}, volume={35}, number={1}, pages={53-65}, url = {http://arxiv.org/abs/1710.07035}, Month = {Jan}, year = {2018} } - S. Garasto, A. A. Bharath, and S. R. Schultz, “Visual reconstruction from 2-photon calcium imaging suggests linear readout properties of neurons in mouse primary visual cortex,” Biorxiv, 2018. doi:10.1101/300392
[BibTeX] [Download PDF]@article{Garasto300392, author = {Garasto, Stef and Bharath, Anil A and Schultz, Simon R}, title = {Visual reconstruction from 2-photon calcium imaging suggests linear readout properties of neurons in mouse primary visual cortex}, year = {2018}, doi = {10.1101/300392}, publisher = {Cold Spring Harbor Laboratory}, URL = {https://www.biorxiv.org/content/early/2018/04/12/300392}, eprint = {https://www.biorxiv.org/content/early/2018/04/12/300392.full.pdf}, journal = {bioRxiv} } - Y. Mohamied, K. N. Tzortzis, R. A. Chowdhury, C. D. Cantwell, A. A. Bharath, and N. S. Peters, “Machine learning unravels the cellular determinants of electrogram morphology using convolutional neural networks,” in Proceedings of the 14th annual conference of the European cardiac arrhythmia society, 2018.
[BibTeX]@inproceedings{mohamied2018, title={Machine Learning unravels the cellular determinants of electrogram morphology using convolutional neural networks}, author={Yumnah Mohamied and Konstantinos N. Tzortzis and Rasheda A Chowdhury and Chris D Cantwell and Anil A Bharath and Nicholas S Peters}, booktitle={Proceedings of the 14th Annual Conference of the {E}uropean Cardiac Arrhythmia Society}, year={2018} }
2017
- K. Arulkumaran, M. P. Deisenroth, M. Brundage, and A. A. Bharath, “Deep reinforcement learning: a brief survey,” IEEE Signal Processing Magazine, vol. 34, iss. 6, p. 26–38, 2017.
[BibTeX] [Download PDF]@article{arulkumaran2017deep, title={Deep Reinforcement Learning: A Brief Survey}, author={Arulkumaran, Kai and Deisenroth, Marc Peter and Brundage, Miles and Bharath, Anil Anthony}, journal={{IEEE Signal Processing Magazine}}, volume={34}, number={6}, pages={26--38}, year={2017}, publisher={IEEE}, url={http://ieeexplore.ieee.org/abstract/document/8103164/} } - C. Bass, P. Helkkula, V. De Paola, C. Clopath, and A. A. Bharath, “Detection of axonal synapses in 3d two-photon images,” PLoS ONE, 2017.
[BibTeX] [Download PDF]@article{bass2017, title={Detection of Axonal Synapses in 3D Two-photon Images}, author={Bass, Cher and Helkkula, Pyry and De Paola, Vincenzo and Clopath, Claudia and Bharath, Anil A}, journal={{PLoS ONE}}, month = {Sep}, year={2017}, publisher={Public Library of Science}, url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0183309#abstract0}, } - A. Creswell and A. A. Bharath, “Denoising adversarial autoencoders,” Arxiv preprint arxiv:1703.01220, 2017.
[BibTeX] [Download PDF]@online{creswell2017denoising, title = {Denoising adversarial autoencoders}, author = {Creswell, Antonia and Bharath, Anil Anthony}, journal = {arXiv preprint arXiv:1703.01220}, archivePrefix = "arXiv", eprint = {1703.01220}, year = {2017}, date = {2017-03-03}, url = {https://arxiv.org/abs/1703.01220}, } - A. Creswell, K. Arulkumaran, and A. A. Bharath, “On denoising autoencoders trained to minimise binary cross-entropy,” Arxiv preprint arxiv:1708.08487, 2017.
[BibTeX] [Download PDF]@online{2017arXiv170808487C, author = {Creswell, Antonia and Arulkumaran, Kai and Bharath, Anil A}, title = "On denoising autoencoders trained to minimise binary cross-entropy", journal = {arXiv preprint arXiv:1708.08487}, eprinttype = {arxiv}, archivePrefix = "arXiv", primaryClass = "cs.CV", eprint = {1708.08487}, year = {2017}, date = {2017-08-28}, url = {https://arxiv.org/abs/1708.08487}, }
2016
- N. Dilokthanakul, P. A. M. Mediano, M. Garnelo, M. C. H. Lee, H. Salimbeni, K. Arulkumaran, and M. Shanahan, “Deep unsupervised clustering with gaussian mixture variational autoencoders,” Arxiv preprint arxiv:1611.02648, p. 12 pages, 2016.
[BibTeX] [Download PDF]@online{dilokthanakul2016deep, author = {Dilokthanakul, Nat and Mediano, Pedro A M and Garnelo, Marta and Lee, Matthew C H and Salimbeni, H and Arulkumaran, Kai and Shanahan, Murray}, title = {Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders}, journal = {arXiv preprint arXiv:1611.02648}, eprinttype = {arxiv}, eprintclass = {cs.LG}, eprint = {cs/1611.02648v1}, year = {2016}, date = {2016-11-08}, url = {https://arxiv.org/abs/1611.02648}, numpages = {12}, pages = {12 pages} } - A. Creswell, K. Arulkumaran, and A. A. Bharath, “Improving sampling from generative autoencoders with markov chains,” Arxiv preprint arxiv:1610.09296, p. 14 pages, 2016.
[BibTeX] [Download PDF]@online{creswell2016improving, author = {Creswell, Antonia and Arulkumaran, Kai and Bharath, Anil A}, title = {Improving Sampling from Generative Autoencoders with Markov Chains}, journal = {arXiv preprint arXiv:1610.09296}, eprinttype = {arxiv}, eprintclass = {cs.LG}, eprint = {cs/1610.09296v1}, year = {2016}, date = {2016-10-28}, url = {https://arxiv.org/abs/1610.09296}, numpages = {14}, pages = {14 pages} } - A. Creswell and A. A. Bharath, “Task specific adversarial cost function,” Arxiv preprint arxiv:1609.08661, p. 13 pages, 2016.
[BibTeX] [Download PDF]@online{creswelltask:2016v1, author = {Creswell, Antonia and Bharath, Anil A}, title = {Task Specific Adversarial Cost Function}, journal = {arXiv preprint arXiv:1609.08661}, eprinttype = {arxiv}, eprintclass = {cs.CV}, eprint = {cs/1609.08661v1}, year = {2016}, date = {2016-09-27}, url = {https://arxiv.org/abs/1609.08661v1.pdf}, numpages = {13}, pages = {13 pages} } - A. Creswell and A. A. Bharath, “Inverting the generator of a generative adversarial network,” in Proceedings of the NIPS Workshop on Adversarial Training, 2016.
[BibTeX] [Download PDF]@inproceedings{creswell2016inverting, title={Inverting The Generator Of A Generative Adversarial Network}, author={Creswell, Antonia and Bharath, Anil Anthony}, booktitle={{Proceedings of the NIPS Workshop on Adversarial Training}}, url={https://arxiv.org/pdf/1611.05644v1.pdf}, year={2016} } - M. Garnelo, K. Arulkumaran, and M. Shanahan, “Towards deep symbolic reinforcement learning,” in Proceedings of the NIPS Workshop on Deep Reinforcement Learning, 2016-09-18 2016, p. 13 pages.
[BibTeX] [Download PDF]@inproceedings{garnelo2016towards, author = {Garnelo, Marta and Arulkumaran, Kai and Shanahan, Murray}, title = {Towards Deep Symbolic Reinforcement Learning}, booktitle = {{Proceedings of the NIPS Workshop on Deep Reinforcement Learning}}, journal = {arXiv preprint arXiv:1609.05518}, eprinttype = {arxiv}, eprintclass = {cs.AI}, eprint = {cs/1609.05518v1}, year = {2016}, date = {2016-09-18}, url = {http://arxiv.org/abs/1609.05518}, numpages = {13}, pages = {13 pages} } - C. Charalambous and A. A. Bharath, “A data augmentation methodology for training machine/deep learning gait recognition algorithms,” in Proceedings of the british machine vision conference (bmvc), 2016, p. 12 pages.
[BibTeX]@inproceedings{Charalambous:2016, title={A data augmentation methodology for training machine/deep learning gait recognition algorithms}, author={C. Charalambous and Anil A. Bharath}, year={2016}, month={September}, numpages={12}, pages = {12 pages}, booktitle={Proceedings of the British Machine Vision Conference (BMVC)}, publisher={BMVA Press}, } - A. Creswell and A. A. Bharath, “Adversarial training for sketch retrieval,” in European conference on computer vision, 2016, p. 798–809.
[BibTeX]@inproceedings{creswell2016adversarial, title={Adversarial Training For Sketch Retrieval}, author={Creswell, Antonia and Bharath, Anil Anthony}, booktitle={European Conference on Computer Vision}, pages={798--809}, year={2016}, organization={Springer} } - K. Arulkumaran, N. Dilokthanakul, M. Shanahan, and A. A. Bharath, “Classifying options for deep reinforcement learning,” in Proceedings of the ijcai workshop on deep reinforcement learning, 2016-04-27 2016, p. 6 pages.
[BibTeX] [Download PDF]@inproceedings{arulkumaran2016classifying, author = {Arulkumaran, Kai and Dilokthanakul, Nat and Shanahan, Murray and Bharath, Anil Anthony}, title = {Classifying Options for Deep Reinforcement Learning}, booktitle = {Proceedings of the IJCAI Workshop on Deep Reinforcement Learning}, eprinttype = {arxiv}, eprintclass = {cs.LG}, eprint = {cs/1604.08153v2}, year = {2016}, date = {2016-04-27}, url = {https://arxiv.org/pdf/1604.08153}, numpages = {6}, pages = {6 pages} } - J. Rivera-Rubio, K. Arulkumaran, H. Rishi, I. Alexiou, and A. A. Bharath, “An assistive haptic interface for appearance-based indoor navigation,” Computer vision and image understanding, p. 126–145, 2016.
[BibTeX] [Download PDF]@article{Rivera-Rubio:2016, author = {Rivera-Rubio, J and Arulkumaran, Kai and Rishi, Hemang and Alexiou, Ioannis and Bharath, Anil Anthony}, title = {An assistive haptic interface for appearance-based indoor navigation}, journal = {Computer Vision and Image Understanding}, url = {http://www.sciencedirect.com/science/article/pii/S1077314216000680}, vol = {149}, year = {2016}, pages = {126--145}, } - B. A. Othman, C. Greenwood, A. F. Abuelela, A. A. Bharath, S. Chen, I. Theodorou, T. Douglas, M. Uchida, M. Ryan, J. S. Merzaban, and A. E. Porter, “Correlative light-electron microscopy shows rgd-targeted zno nanoparticles dissolve in the intracellular environment of triple negative breast cancer cells and cause apoptosis with intra-tumor heterogeneity,” Advanced healthcare materials, p. 1310–1325, 2016.
[BibTeX] [Download PDF]@article{Othman, author = {Othman, B.A. and Greenwood, C. and Abuelela, A.F. and Bharath, A.A. and Chen, S. and Theodorou, I. and Douglas, T. and Uchida, M. and Ryan, M. and Merzaban, J.S. and Porter, A.E.}, journal = {Advanced Healthcare Materials}, title = {Correlative light-electron microscopy shows RGD-targeted ZnO nanoparticles dissolve in the intracellular environment of triple negative breast cancer cells and cause apoptosis with intra-tumor heterogeneity}, vol = {5}, year = {2016}, pages = {1310--1325}, url = {http://onlinelibrary.wiley.com/doi/10.1002/adhm.201501012/epdf}, } - Z. B. Ma, Y. Yang, Y. X. Liu, and A. A. Bharath, “Recurrently decomposable 2-D convolvers for FPGA-based digital image processing,” Ieee transactions on circuits and systems ii: express briefs, vol. In Press, 2016. doi:10.1109/TCSII.2016.2536202
[BibTeX]@ARTICLE{Ba2016, author={Z. B. Ma and Y. Yang and Y. X. Liu and A. A. Bharath}, journal={IEEE Transactions on Circuits and Systems II: Express Briefs}, title={Recurrently Decomposable 2-{D} Convolvers for {FPGA}-Based Digital Image Processing}, year={2016}, volume={In Press}, numpages={5}, keywords={Bandwidth;Computer architecture;Convolvers;Field programmable gate arrays;Kernel;System-on-chip;Field-programmable gate arrays;large convolution mask;recurrently decomposable}, doi={10.1109/TCSII.2016.2536202}, ISSN={1549-7747}, month={},}
2015
- J. Rivera-Rubio, I. Alexiou, and A. A. Bharath, “Indoor localisation with regression networks and place cell models,” in Proceedings of the british machine vision conference (bmvc), 2015, p. 147.1-147.12.
[BibTeX] [Download PDF]@inproceedings{BMVC2015_147, title={Indoor Localisation with Regression Networks and Place Cell Models}, author={Rivera-Rubio, Jose and Alexiou, Ioannis and Bharath, Anil A.}, year={2015}, month={September}, pages={147.1-147.12}, url = {http://bmvc2015.swansea.ac.uk/proceedings/papers/paper147/paper147.pdf}, articleno={147}, numpages={12}, booktitle={Proceedings of the British Machine Vision Conference (BMVC)}, publisher={BMVA Press}, editor={Xianghua Xie, Mark W. Jones, and Gary K. L. Tam}, isbn={1-901725-53-7}, } - C. Charalambous and A. A. Bharath, “Viewing angle effect on gait recognition using joint kinematics,” in 6th international conference on crime detection and prevention, 2015. doi:10.1049/ic.2015.0118
[BibTeX]@inproceedings{Charalambous2015, title = {Viewing Angle Effect on Gait Recognition Using Joint Kinematics }, author = {Charalambous, Christoforos and Bharath, Anil Anthony}, year = 2015, editor = {Sergio A. Velastin}, booktitle = {6th International Conference on Crime Detection and Prevention}, month = 7, doi = {10.1049/ic.2015.0118}, publisher = {IET}, note = {Best Poster Prize} } - J. Rivera-Rubio, I. Alexiou, and A. A. Bharath, “Appearance-based indoor localization: a comparison of patch descriptor performance,” Pattern recognition letters, vol. 66, pp. 109-117, 2015. doi:10.1016/j.patrec.2015.03.003
[BibTeX] [Download PDF]@article{RiveraRubio2015109, title = "Appearance-based indoor localization: A comparison of patch descriptor performance ", journal = "Pattern Recognition Letters ", volume = "66", number = "", pages = "109 - 117", year = "2015", note = "Pattern Recognition in Human Computer Interaction ", issn = "0167-8655", doi = "10.1016/j.patrec.2015.03.003", url = "http://www.sciencedirect.com/science/article/pii/S0167865515000744", author = "Jose Rivera-Rubio and Ioannis Alexiou and Anil A. Bharath", keywords = "Visual localization", keywords = "Descriptors", keywords = "Human–computer interaction", keywords = "Assistive devices " }
2014
- J. Rivera-Rubio, S. Idrees, I. Alexiou, L. Hadjilucas, and A. A. Bharath, “A dataset for hand-held object recognition,” in 2014 ieee international conference on image processing (icip), Paris, 2014, p. 4 pages.
[BibTeX]@inproceedings{Rivera-RubioICIP, address = {Paris}, author = {Rivera-Rubio, Jose and Idrees, Saad and Alexiou, Ioannis and Hadjilucas, Lucas and Bharath, Anil A.}, booktitle = {2014 IEEE International Conference on Image Processing (ICIP)}, pages = {4 pages}, title = {{A dataset for hand-held object recognition}}, year = {2014}, keywords = {CV} } - I. Alexiou and A. A. Bharath, “Spatio-chromatic opponent features,” in Computer vision – eccv 2014, D. Fleet, T. Pajdla, B. Schiele, and T. Tuytelaars, Eds., Springer International Publishing, 2014, vol. 8693, pp. 81-95. doi:10.1007/978-3-319-10602-1_6
[BibTeX]@incollection{Alexiou2014, year={2014}, isbn={978-3-319-10601-4}, booktitle={Computer Vision -- ECCV 2014}, volume={8693}, series={Lecture Notes in Computer Science}, editor={Fleet, David and Pajdla, Tomas and Schiele, Bernt and Tuytelaars, Tinne}, doi={10.1007/978-3-319-10602-1_6}, title={Spatio-chromatic Opponent Features}, publisher={Springer International Publishing}, keywords={CV,Colour descriptors,image categorization,colour-opponency; biologically-inspired, pooling, Bird 200, Pascal VOC}, author={Alexiou, Ioannis and Bharath, Anil A.}, pages={81-95} } - Z. Kis, L. Towhidi, H. M. D. Ip, E. M. Drakakis, A. A. Bharath, and R. Krams, “In-situ electroporation and flow device for mechanotransduction studies,” in Microarrays: principles, applications and technologies, J. V. Rogers, Ed., Nova Science Publishers, 2014.
[BibTeX]@incollection{Zoltan14, author = {Kis, Z. and Towhidi, L. and Ip, H.M.D. and Drakakis, E.M. and Bharath, A.A. and Krams, R.}, title = {In-situ electroporation and flow device for mechanotransduction studies}, editor = {James V Rogers}, booktitle = {Microarrays: Principles, Applications and Technologies}, publisher = {Nova Science Publishers}, year = {2014} } - J. Rivera-Rubio, S. Idrees, I. Alexiou, L. Hadjilucas, and A. A. Bharath, “Small hand-held object recognition test (SHORT),” in 2014 ieee winter conference on applications of computer vision (wacv), 2014, pp. 524-531. doi:10.1109/WACV.2014.6836057
[BibTeX]@INPROCEEDINGS{6836057, author={Rivera-Rubio, J. and Idrees, S. and Alexiou, I. and Hadjilucas, L. and Bharath, A. A.}, booktitle={2014 IEEE Winter Conference on Applications of Computer Vision (WACV)}, title={Small Hand-held Object Recognition Test ({SHORT})}, year={2014}, month={3}, pages={524-531}, keywords={CV;cameras;object recognition;smart phones;SHORT;assistive system context;database datasets;grocery products;ground truth;high quality cameras;high quality catalogue images;high quality training images;high-street shopping;price comparisons;query datasets;small hand-held object recognition test;smartphone-captured test images;variable quality user-captured images;visual impairment;visual object recognition;wearable cameras;Cameras;Context;Databases;Object recognition;Training;Videos;Visualization}, doi={10.1109/WACV.2014.6836057}, } - J. Rivera-Rubio, I. Alexiou, L. Dickens, R. Secoli, E. Lupu, and A. A. Bharath, “Associating locations from wearable cameras,” in Proceedings of the british machine vision conference, 2014, p. 13 pages.
[BibTeX] [Download PDF]@inproceedings{RiveraWearable, title = {Associating locations from wearable cameras}, author = {Rivera-Rubio, Jose and Alexiou, Ioannis and Dickens, Luke and Secoli, Riccardo and Lupu, Emil and Bharath, Anil A}, year = {2014}, booktitle = {Proceedings of the British Machine Vision Conference}, publisher = {BMVA Press}, editors = {Valstar, Michel and French, Andrew and Pridmore, Tony}, pages = {13 pages}, url={http://www.bmva.org/bmvc/2014/}, keywords = {CV} }
2013
- J. Rivera-Rubio, S. Idrees, I. Alexiou, L. Hadjilucas, and A. A. Bharath, “Mobile Visual Assistive Apps: Benchmarks of Vision Algorithm Performance,” in New trends in image analysis and processing–iciap 2013, Springer–Berlin–Heidelberg, 2013, vol. 8158, p. 30–40.
[BibTeX]@incollection{rivera2013mobile, author = {Rivera-Rubio, Jose and Idrees, Saad and Alexiou, Ioannis and Hadjilucas, Lucas and Bharath, Anil A}, series = {Lecture Notes in Computer Science}, volume = {8158}, booktitle = {New Trends in Image Analysis and Processing--ICIAP 2013}, pages = {30--40}, publisher = {Springer--Berlin--Heidelberg}, title = {{Mobile Visual Assistive Apps: Benchmarks of Vision Algorithm Performance}}, year = {2013}, keywords = {CV}, } - L. Hadjilucas, A. A. Bharath, A. Ignatovic, J. E. East, B. P. Saunders, and D. Burling, “Features for the optical biopsy of colorectal polyps,” in Proceedings of the $17^{th}$ annual conference on medical image understanding and analysis (miua 2013), 2013, pp. 73-78.
[BibTeX]@inproceedings{Hadjilucas2013, title = {Features for the Optical Biopsy of Colorectal Polyps}, author = {Hadjilucas, L. and Bharath, A.A. and Ignatovic, A. and East, J.E. and Saunders, B.P. and Burling, D.}, booktitle={Proceedings of the $17^{th}$ Annual Conference on Medical Image Understanding and Analysis (MIUA 2013)}, pages={73-78}, year={2013}, } - V. Peiffer, A. A. Bharath, S. J. Sherwin, and P. D. Weinberg, “A novel method for quantifying spatial correlations between patterns of atherosclerosis and hemodynamic factors.,” Journal of biomechanical engineering, vol. 135(2), iss. 021023, (Feb 7 2013), 2013. doi:10.1115/1.4023381
[BibTeX]@article{Peiffer2013, title = {A novel method for quantifying spatial correlations between patterns of atherosclerosis and hemodynamic factors.}, author = {Peiffer, V\'{e}ronique and Bharath, Anil A. and Sherwin, Spencer J. and Weinberg, Peter D.}, doi = {10.1115/1.4023381}, issn = {15288951}, journal = {Journal of Biomechanical Engineering}, keywords = {atherosclerosis,hemodynamics,localization,spatial correlation,surrogate}, number={021023, (Feb 7 2013)}, pmid = {23445068}, volume = {135(2)}, year = {2013} }
2012
- I. Alexiou, A. A. Bharath, and Z. Engin, “Categorisation performance using V1 spatial cRF simulations,” in Perception, 2012, p. 365.
[BibTeX]@inproceedings{alexiou2012categorisation, author = {Alexiou, I. and Bharath, A.A. and Engin, Z.}, booktitle = {Perception}, number = {3}, pages = {365}, title = {{Categorisation performance using {V1} spatial {cRF} simulations}}, volume = {41}, year = {2012}, keywords = {CV} } - I. Alexiou and A. A. Bharath, “Efficient kernels couple visual words through categorical opponency,” in Proceedings of the british machine vision conference, 2012, p. 1–11.
[BibTeX]@inproceedings{alexiou2012efficient, author = {Alexiou, Ioannis and Bharath, Anil A}, booktitle = {Proceedings of the British Machine Vision Conference}, pages = {1--11}, title = {Efficient Kernels Couple Visual Words Through Categorical Opponency}, year = {2012}, keywords = {CV} } - S. Cao, A. A. Bharath, K. Parker, J. Ng, J. Arnold, A. McGregor, and A. Hill, “Microvasculature segmentation of co-registered retinal angiogram sequences,” Annals of british machine vision association, p. 20 pages, 2012.
[BibTeX]@article{cao2012microvasculature, author = {Cao, Shuoying and Bharath, A. A. and Parker, Kim and Ng, Jeffrey and Arnold, John and McGregor, Alison and Hill, Adam}, journal = {Annals of British Machine Vision Association}, title = {{Microvasculature segmentation of co-registered retinal angiogram sequences}}, vol={2012}, pages = {20 pages}, year = {2012} } - S. Cao, A. A. Bharath, K. H. Parker, and J. Ng, “Patch-based automatic retinal vessel segmentation in global and local structural context,” in Engineering in medicine and biology society (embc), 2012 annual international conference of the ieee, 2012, p. 4942–4945.
[BibTeX]@inproceedings{cao2012patcha, author = {Cao, Shuoying and Bharath, Anil A. and Parker, Kim H. and Ng, Jeffrey}, booktitle = {Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE}, organization = {IEEE}, pages = {4942--4945}, title = {{Patch-based automatic retinal vessel segmentation in global and local structural context}}, year = {2012} } - S. Cao, S. Iftikhar, and A. A. Bharath, “Patch-based feature maps for pixel-level image segmentation,” in Signal processing conference (eusipco),proceedings of the 20th european, 2012, p. 2263–2267.
[BibTeX]@inproceedings{cao2012patchb, author = {Cao, Shuoying and Iftikhar, Saadia and Bharath, Anil Anthony}, booktitle = {Signal Processing Conference (EUSIPCO),Proceedings of the 20th European}, organization = {IEEE}, pages = {2263--2267}, title = {{Patch-based feature maps for pixel-level image segmentation}}, year = {2012}, keywords = {CV} }
2011
- A. R. Bond, S. Iftikhar, A. A. Bharath, and P. D. Weinberg, “Morphological evidence for a change in the pattern of aortic wall shear stress with age.,” Arteriosclerosis, thrombosis and vascular biology (atvb), vol. 31, iss. 3, p. 543–550, 2011.
[BibTeX] [Abstract]
The distribution of atherosclerosis around branch sites changes with age in human and rabbit aortas. We tested whether that reflects a change in the pattern of wall shear stress by examining shear-dependent morphological features of endothelial cells.
@article{Bond2011, abstract = {The distribution of atherosclerosis around branch sites changes with age in human and rabbit aortas. We tested whether that reflects a change in the pattern of wall shear stress by examining shear-dependent morphological features of endothelial cells.}, author = {Bond, Andrew R. and Iftikhar, Saadia and Bharath, Anil A. and Weinberg, Peter D.}, journal = {Arteriosclerosis, Thrombosis and Vascular Biology (ATVB)}, number = {3}, pages = {543--550}, pmid = {21205986}, title = {Morphological evidence for a change in the pattern of aortic wall shear stress with age.}, volume = {31}, year = {2011} } - A. A. Bharath and J. {Ng}, “Keypoint Descriptor Generation by Complex Wavelet Analysis,” , iss. 20110262041, 2011.
[BibTeX]@Patent{bharath2011keypoint, annote = {EP Patent 2,353,126}, author = {Bharath, Anil Anthony and {Ng}, Jeffrey}, title = {{Keypoint Descriptor Generation by Complex Wavelet Analysis}}, year = {2011}, type = {Patent}, number = {20110262041}, month= {11}, day={14}, keywords = {CV} } - S. Iftikhar, A. R. Bond, A. I. Wagan, P. D. Weinberg, and A. A. Bharath, “Segmentation of endothelial cell boundaries of rabbit aortic images using a machine learning approach,” Journal of biomedical imaging, pp. 1-11, 2011. doi:10.1155/2011/270247
[BibTeX]@article{iftikhar2011segmentation, title={Segmentation of endothelial cell boundaries of rabbit aortic images using a machine learning approach}, author={Iftikhar, Saadia and Bond, Andrew R. and Wagan, Asim I. and Weinberg, Peter D. and Bharath, Anil A.}, journal={Journal of Biomedical Imaging}, pages={1-11}, year={2011}, publisher={Hindawi Publishing Corp.}, note = {Article ID 270247}, doi = {10.1155/2011/270247}, } - S. Cao, A. Bharath, K. Parker, J. Ng, J. Arnold, A. McGregor, and A. Hill, “Joint spatio-temporal registration and microvasculature segmentation of retinal angiogram sequences,” in 2011 annual international conference of the ieee engineering in medicine and biology society, 2011, p. 2618–2621.
[BibTeX]@inproceedings{Cao2011, author = {Cao, Shuoying and Bharath, Anil and Parker, Kim and Ng, Jeffrey and Arnold, John and McGregor, Alison and Hill, Adam}, booktitle = {2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society}, isbn = {9781424441228}, issn = {1557170X}, keywords = {retinal image analysis,retinal imaging}, pages = {2618--2621}, publisher = {IEEE}, title = {Joint spatio-temporal registration and microvasculature segmentation of retinal angiogram sequences}, year = {2011} } - H. Ip, E. M. Drakakis, and A. A. Bharath, “Preliminary results from an analog implementation of first-order TDCNN dynamics,” International journal of circuit theory and applications, vol. 39, iss. 6, p. 665–678, 2011.
[BibTeX]@article{ip2011preliminary, author = {Ip, Henry and Drakakis, Emmanuel M. and Bharath, Anil A.}, journal = {International Journal of Circuit Theory and Applications}, number = {6}, pages = {665--678}, publisher = {Wiley Online Library}, title = {{Preliminary results from an analog implementation of first-order {TDCNN} dynamics}}, volume = {39}, year = {2011}, keywords = {CV} }
2010
- H. M. D. Ip, E. M. Drakakis, and A. A. Bharath, “Silicon experimentation of first order TDCNN dynamics,” in 12th international workshop on cellular nanoscale networks and their applications (cnna), 2010, pp. 1-6. doi:10.1109/CNNA.2010.5430273
[BibTeX]@INPROCEEDINGS{CNNA2010, author={Ip, H.M.D. and Drakakis, E.M. and Bharath, A.A.}, booktitle={12th International Workshop on Cellular Nanoscale Networks and Their Applications (CNNA)}, title={Silicon experimentation of first order {TDCNN} dynamics}, year={2010}, month={2}, pages={1-6}, keywords={VLSI;cellular neural nets;continuous time filters;time-varying filters;3D spatiotemporal filters;analog circuit building blocks;continuous-time filters;continuous-time nature;first order TDCNN Dynjamies;linearized CNN cells;network formalism;silicon experimentation;temporal-derivative templates;time-derivative coupling;time-varying 2D array;Analog circuits;CMOS analog integrated circuits;Circuit simulation;Coupling circuits;Feedback;Filters;Nearest neighbor searches;Prototypes;Silicon;Spatiotemporal phenomena;Analog VLSI;Cellular Neural Networks;Continous time filtering}, doi={10.1109/CNNA.2010.5430273}, keywords = {CV} } - A. Ignjatovic, A. Varnavas, J. E. East, A. A. Bharath, J. N. S. Kwong, B. P. Saunders, and D. Burling, “M1510: computer aided polyp characterisation,” Gastrointestinal endoscopy, vol. 71, iss. 5, p. AB240–AB241, 2010.
[BibTeX]@article{ignjatovic2010m1510, title={M1510: Computer Aided Polyp Characterisation}, author={Ignjatovic, Ana and Varnavas, Andreas and East, James E. and Bharath, Anil A. and Kwong, Jeffrey Ng Sing and Saunders, Brian P. and Burling, David}, journal={Gastrointestinal Endoscopy}, volume={71}, number={5}, pages={AB240--AB241}, year={2010}, publisher={Mosby} } - A. Varnavas, V. Argyriou, J. Ng, and A. A. Bharath, “Dense photometric stereo reconstruction on many core GPUs,” Ieee computer society conference on computer vision and pattern recognition workshops (cvprw), 2010.
[BibTeX]@article{Varnavas2010, author = {Varnavas, A. and Argyriou, V. and Ng, J. and Bharath, A.A.}, journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)}, title = {{Dense photometric stereo reconstruction on many core GPUs}}, year = {2010}, keywords = {CV} } - A. A. Bharath and J. {Ng}, “Method of Image Processing,” , iss. 20100226533, 2010.
[BibTeX]@patent{bharath2010method, annote = {EP Patent 2,064,652}, author = {Bharath, Anil Anthony and {Ng}, Jeffrey}, title = {{Method of Image Processing}}, year = {2010}, month={8}, day = 14, number = {20100226533}, keywords = {CV} }
2009
- S. Iftikhar and A. A. Bharath, “Cell boundary analysis using radial search for dual staining techniques,” in Spie medical imaging, 2009, p. 72593M–72593M.
[BibTeX]@inproceedings{iftikhar2009cell, title={Cell boundary analysis using radial search for dual staining techniques}, author={Iftikhar, Saadia and Bharath, Anil Anthony}, booktitle={SPIE Medical Imaging}, pages={72593M--72593M}, year={2009}, organization={International Society for Optics and Photonics} } - Z. Engin, J. Ng, M. Barahona, and A. A. Bharath, “An analysis of the Map Seeking Circuit and Monte-Carlo extensions,” in Ieee international conference on acoustics, speech and signal processing, 2009, p. 2929–2932.
[BibTeX]@inproceedings{engin2009analysis, title={An analysis of the {Map} {Seeking} {Circuit} and {Monte}-{Carlo} extensions}, author={Engin, Zeynep and Ng, Jeffrey and Barahona, Mauricio and Bharath, Anil A}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing}, pages={2929--2932}, year={2009}, organization={IEEE}, keywords = {CV} } - A. Varnavas, A. Ignjatovic, A. Bharath, J. E. East, B. P. Saunders, J. Ng, and D. Burling, “Classification of colon images using the magnitude of orientation dominance,” in Postgraduate conference in biomedical engineering & medical physics, 2009, p. 13.
[BibTeX]@inproceedings{varnavas2009classification, title={Classification of colon images using the magnitude of orientation dominance}, author={Varnavas, Andreas and Ignjatovic, Ana and Bharath, A. and East, James E. and Saunders, Brian P. and Ng, Jeffrey and Burling, David}, booktitle={Postgraduate Conference in Biomedical Engineering \& Medical Physics}, pages={13}, year={2009} } - H. M. D. Ip, E. M. Drakakis, and A. A. Bharath, “A 19 nW analogue cmos log-domain 6th-order Bessel filter without E-minus cells,” Microelectronics journal, vol. 40, iss. 8, p. 1170–1174, 2009.
[BibTeX]@article{ip200919nw, title={A {19 nW} analogue CMOS log-domain 6th-order {Bessel} filter without {E-minus} cells}, author={Ip, Henry M. D. and Drakakis, Emmanuel M. and Bharath, Anil A.}, journal={Microelectronics Journal}, volume={40}, number={8}, pages={1170--1174}, year={2009}, publisher={Elsevier} } - E. Dente, A. Bharath, and J. Ng, “A jump-diffusion particle filter for tracking grouped and fragmented objects,” in $16^{th}$ international conference on digital signal processing, 2009, p. 1–6. doi:10.1109/ICDSP.2009.5201191
[BibTeX]@inproceedings{Dente2009, author = {Dente, E. and Bharath, A. and Ng, J.}, booktitle = {$16^{th}$ International Conference on Digital Signal Processing}, doi = {10.1109/ICDSP.2009.5201191}, isbn = {9781424432974}, pages = {1--6}, publisher = {IEEE}, title = {{A jump-diffusion particle filter for tracking grouped and fragmented objects}}, year = {2009}, keywords = {CV} }
2008
- H. M. D. Ip, E. M. Drakakis, and A. A. Bharath, “On analog networks and mixed-domain spatio-temporal frequency response,” Ieee transactions on circuits and systems i: regular papers, vol. 55, iss. 1, p. 284–297, 2008.
[BibTeX]@article{ip2008analog, title={On analog networks and mixed-domain spatio-temporal frequency response}, author={Ip, Henry M.D. and Drakakis, E. M. and Bharath, Anil Anthony}, journal={IEEE Transactions on Circuits and Systems I: Regular Papers}, volume={55}, number={1}, pages={284--297}, year={2008}, publisher={IEEE}, keywords = {CV} } - H. M. D. Ip, E. M. Drakakis, and A. A. Bharath, “Synthesis of nonseparable 3D spatiotemporal bandpass filters on analog networks,” Ieee transactions on circuits and systems i: regular papers, vol. 55, iss. 1, p. 298–310, 2008.
[BibTeX]@article{ip2008synthesis, title={Synthesis of nonseparable {3D} spatiotemporal bandpass filters on analog networks}, author={Ip, Henry M.D. and Drakakis, E. M. and Bharath, Anil Anthony}, journal={IEEE Transactions on Circuits and Systems I: Regular Papers}, volume={55}, number={1}, pages={298--310}, year={2008}, publisher={IEEE}, keywords = {CV} } - H. M. D. Ip, E. M. Drakakis, and A. A. Bharath, “A nonseparable 3D spatiotemporal bandpass filter with analog networks,” in Ieee international symposium on circuits and systems (iscas) 2008, 2008, p. 1376–1379.
[BibTeX]@inproceedings{ip2008nonseparable, title={A nonseparable {3D} spatiotemporal bandpass filter with analog networks}, author={Ip, Henry M.D. and Drakakis, E. M. and Bharath, Anil A.}, booktitle={IEEE International Symposium on Circuits and Systems (ISCAS) 2008}, pages={1376--1379}, year={2008}, organization={IEEE}, keywords = {CV} } - A. A. Bharath and M. Petrou, Next generation artificial vision systems: reverse engineering the human visual system, A. A. Bharath and M. Petrou, Eds., Artech House Publishers, 2008.
[BibTeX]@book{Bharath2008, author = {Bharath, A.A. and Petrou, M.}, booktitle = {Reverse Engineering}, editor = {Bharath, Anil A. and Petrou, Maria}, isbn = {9781596932241}, pages = {438 pages}, publisher = {Artech House Publishers}, title = {{Next generation artificial vision systems: reverse engineering the human visual system}}, year = {2008}, keywords = {CV} }
2007
- J. Ng, A. A. Bharath, and L. Zhaoping, “A survey of architecture and function of the primary visual cortex (V1),” Eurasip journal on applied signal processing, vol. 2007, iss. 97961, pp. 1-17, 2007.
[BibTeX]@article{ng2007survey, title={A survey of architecture and function of the primary visual cortex ({V1})}, author={Ng, Jeffrey and Bharath, Anil A. and Zhaoping, Li}, journal={EURASIP Journal on Applied Signal Processing}, volume={2007}, number={97961}, pages={1-17}, year={2007}, publisher={Hindawi Publishing Corp.}, keywords = {CV} } - Z. Engin, M. Lim, and A. A. Bharath, “Gradient Field Correlation for Keypoint Correspondence,” in Ieee international conference on image processing, 2007. doi:10.1109/ICIP.2007.4379197
[BibTeX]@inproceedings{Engin2007, author = {Engin, Z. and Lim, M. and Bharath, A. A.}, booktitle = {IEEE International Conference on Image Processing}, doi = {10.1109/ICIP.2007.4379197}, isbn = {9781424414376}, issn = {15224880}, keywords = {correlation,gradient vector fields,object detection,point correspondence,template matching}, title = {{Gradient Field Correlation for Keypoint Correspondence}}, volume = {2}, year = {2007}, keywords = {CV} } - E. M. Martinez-Perez, A. D. Hughes, S. A. Thom, A. A. Bharath, and K. H. Parker, “Segmentation of blood vessels from red-free and fluorescein retinal images,” Medical image analysis, vol. 11, iss. 1, p. 47–61, 2007.
[BibTeX]@article{martinez2007segmentation, title={Segmentation of blood vessels from red-free and fluorescein retinal images}, author={Martinez-Perez, M. Elena and Hughes, Alun D. and Thom, Simon A. and Bharath, Anil A. and Parker, Kim H.}, journal={Medical Image Analysis}, volume={11}, number={1}, pages={47--61}, year={2007}, publisher={Elsevier} } - A. A. Bharath and N. Kingsbury, “Phase invariant keypoint detection,” in 15th international conference on digital signal processing, 2007, p. 447–450.
[BibTeX]@inproceedings{bharath2007phase, title={Phase invariant keypoint detection}, author={Bharath, Anil Anthony and Kingsbury, Nick}, booktitle={15th International Conference on Digital Signal Processing}, pages={447--450}, year={2007}, organization={IEEE}, keywords = {CV} } - J. Ng, A. A. Bharath, and P. C. P. Kin, “Extrapolative spatial models for detecting perceptual boundaries in colour images,” International journal of computer vision, vol. 73, iss. 2, p. 179–194, 2007.
[BibTeX]@article{ng2007extrapolative, title={Extrapolative spatial models for detecting perceptual boundaries in colour images}, author={Ng, Jeffrey and Bharath, Anil A. and Kin, Patrick Chow Pak}, journal={International Journal of Computer Vision}, volume={73}, number={2}, pages={179--194}, year={2007}, publisher={Springer}, keywords = {CV} } - H. Momiji, M. W. Hankins, A. A. Bharath, and C. Kennard, “A numerical study of red–green colour opponent properties in the primate retina,” European journal of neuroscience, vol. 25, iss. 4, p. 1155–1165, 2007.
[BibTeX]@article{momiji2007numerical, title={A numerical study of red--green colour opponent properties in the primate retina}, author={Momiji, Hiroshi and Hankins, Mark W. and Bharath, Anil A. and Kennard, Christopher}, journal={European Journal of Neuroscience}, volume={25}, number={4}, pages={1155--1165}, year={2007}, publisher={Wiley Online Library}, keywords = {CV} }
2006
- H. Momiji, A. A. Bharath, M. W. Hankins, and C. Kennard, “Numerical study of short-term afterimages and associate properties in foveal vision,” Vision research, vol. 46, iss. 3, p. 365–381, 2006.
[BibTeX]@article{momiji2006numerical, title={Numerical study of short-term afterimages and associate properties in foveal vision}, author={Momiji, Hiroshi and Bharath, Anil A. and Hankins, Mark W. and Kennard, Christopher}, journal={Vision Research}, volume={46}, number={3}, pages={365--381}, year={2006}, publisher={Elsevier}, keywords = {CV} } - H. M. D. Ip, E. M. Drakakis, and A. A. Bharath, “A bioinspired recursive analog VLSI network for 3D spatiotemporal receptive fields,” in Biomedical circuits and systems conference (biocas 2006), 2006, pp. 134-137. doi:10.1109/BIOCAS.2006.4600326
[BibTeX]@INPROCEEDINGS{4600326, author={Ip, H.M.D. and Drakakis, E.M. and Bharath, A.A.}, booktitle={Biomedical Circuits and Systems Conference (BioCAS 2006)}, title={A bioinspired recursive analog {VLSI} network for {3D} spatiotemporal receptive fields}, year={2006}, month={11}, pages={134-137}, keywords={VLSI;cellular neural nets;filters;3D spatiotemporal receptive fields;bioinspired recursive analog VLSI network;biomimetic visual spatiotemporal bandpass receptive fields;cellular neural network theory;recursive cortical networks;transistor networks;two-layered recursive network;Array signal processing;Band pass filters;Biomimetics;Cellular neural networks;Content addressable storage;Filter bank;Spatiotemporal phenomena;Transfer functions;Very large scale integration;Voltage control;Bioinspired Signal Processing;Cellular Neural Networks;Recursive nonseparable 3D Spatiotemporal Filters}, doi={10.1109/BIOCAS.2006.4600326}, keywords = {CV} } - J. Ng and A. A. Bharath, “Sharpening orientation selectivity for efficient image filtering,” in Ieee international conference on acoustics speech and signal processing proceedings, 2006, p. II–629–II–632. doi:10.1109/ICASSP.2006.1660421
[BibTeX] [Abstract]
The steering framework significantly reduces the computational cost of detecting and extracting oriented low-level spatial features in images by linearly combining the responses of a small set of basis filters at fixed orientations to yield filter responses at arbitrary orientations. However, the characteristics of the steered filter, such as orientation and scale selectivity, remain the same as those of the basis filters. We show that linear combination with the appropriate basis filters and weights can achieve more. We present a novel approach for sharpening the orientation selectivity of polar-separable filters by linear combination and well-known trigonometric identities which reduces the need for more basis filters with higher orientation selectivity. We describe the principles for and issues with designing quadrature sharpening filters. We also qualitatively and quantitatively compare 4-basis sharpened filter kernels with an equivalent steerable set of 6-basis filters
@inproceedings{Ng2006, abstract = {The steering framework significantly reduces the computational cost of detecting and extracting oriented low-level spatial features in images by linearly combining the responses of a small set of basis filters at fixed orientations to yield filter responses at arbitrary orientations. However, the characteristics of the steered filter, such as orientation and scale selectivity, remain the same as those of the basis filters. We show that linear combination with the appropriate basis filters and weights can achieve more. We present a novel approach for sharpening the orientation selectivity of polar-separable filters by linear combination and well-known trigonometric identities which reduces the need for more basis filters with higher orientation selectivity. We describe the principles for and issues with designing quadrature sharpening filters. We also qualitatively and quantitatively compare 4-basis sharpened filter kernels with an equivalent steerable set of 6-basis filters}, author = {Ng, J. and Bharath, A. A.}, booktitle = {IEEE International Conference on Acoustics Speech and Signal Processing Proceedings}, doi = {10.1109/ICASSP.2006.1660421}, isbn = {142440469X}, issn = {15206149}, pages = {II--629--II--632}, publisher = {IEEE}, title = {Sharpening Orientation Selectivity for Efficient Image Filtering}, volume = {2}, year = {2006}, keywords = {CV} } - E. Dente, A. A. Bharath, J. Ng, A. Vrij, S. Mann, and A. Bull, “Tracking hand and finger movements for behaviour analysis,” Pattern recognition letters, vol. 27, iss. 15, p. 1797–1808, 2006.
[BibTeX]@article{dente2006tracking, title={Tracking hand and finger movements for behaviour analysis}, author={Dente, Enrica and Bharath, Anil Anthony and Ng, Jeffrey and Vrij, Aldert and Mann, Samantha and Bull, Anthony}, journal={Pattern Recognition Letters}, volume={27}, number={15}, pages={1797--1808}, year={2006}, publisher={Elsevier}, keywords = {CV} } - H. M. D. Ip, E. M. Drakakis, and A. A. Bharath, “Towards analog vlsi arrays for nonseparable 3D spatiotemporal filtering,” in 10th international workshop on cellular neural networks and their applications (cnna’06), 2006, p. 1–6.
[BibTeX]@inproceedings{ip2006towards, title={Towards Analog VLSI arrays for nonseparable {3D} spatiotemporal filtering}, author={Ip, H.M.D. and Drakakis, Emmanuel M. and Bharath, Anil A.}, booktitle={10th International Workshop on Cellular Neural Networks and Their Applications (CNNA'06)}, pages={1--6}, year={2006}, organization={IEEE}, keywords = {CV} }
2005
- H. M. D. Ip, E. M. Drakakis, and A. A. Bharath, “Analog networks for mixed domain spatiotemporal filtering,” in Ieee international symposium on circuits and systems (iscas 2005), 2005, p. 3918–3921.
[BibTeX]@inproceedings{ip2005analog, title={Analog networks for mixed domain spatiotemporal filtering}, author={Ip, Henry M.D. and Drakakis, Emmanuel M. and Bharath, Anil A.}, booktitle={IEEE International Symposium on Circuits and Systems (ISCAS 2005)}, pages={3918--3921}, year={2005}, organization={IEEE}, keywords = {CV} } - E. Dente, J. Ng, A. Vrij, S. Mann, A. Bull, and A. A. Bharath, “Tracking small hand movements in interview situations,” in Proceedings of the iee international symposium on imaging for crime detection and prevention (icdp 2005), 2005, pp. 55-60. doi:10.1049/ic:20050070
[BibTeX]@inproceedings{dente2005tracking, title={Tracking small hand movements in interview situations}, author={Dente, Enrica and Ng, Jeffrey and Vrij, Aldert and Mann, Samantha and Bull, Anthony and Bharath, Anil A.}, year={2005}, publisher={IET}, booktitle={Proceedings of the IEE International Symposium on Imaging for Crime Detection and Prevention (ICDP 2005)}, doi = {10.1049/ic:20050070}, pages = {55-60} } - A. A. Bharath and J. Ng, “A steerable complex wavelet construction and its application to image denoising,” Ieee transactions on image processing, vol. 14, iss. 7, p. 948–959, 2005.
[BibTeX]@article{bharath2005steerable, title={A steerable complex wavelet construction and its application to image denoising}, author={Bharath, Anil A. and Ng, Jeffrey}, journal={IEEE Transactions on Image Processing}, volume={14}, number={7}, pages={948--959}, year={2005}, publisher={IEEE}, keywords = {CV} } - J. Ng and A. A. Bharath, “Multiscale orientation estimation of perceptual boundaries,” in Roceedings of the ieee international conference on acoustics, speech, and signal processing (icassp ’05), 2005, p. ii/785-ii/788 Vol. 2. doi:10.1109/ICASSP.2005.1415522
[BibTeX]@INPROCEEDINGS{NgBharathICASSP05, author={Ng, J. and Bharath, A.A.}, booktitle={roceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '05) }, title={Multiscale orientation estimation of perceptual boundaries}, year={2005}, month={3}, volume={2}, pages={ii/785-ii/788 Vol. 2}, keywords={computer vision;eigenvalues and eigenfunctions;image processing;parameter estimation;principal component analysis;visual perception;anisotropy;eigensystems;gradient estimates;gray-level variance;human perception;multiscale PCA estimation;multiscale orientation estimation;perceptual boundaries;Anisotropic magnetoresistance;Biomedical engineering;Computer vision;Filter bank;Gabor filters;Humans;Image edge detection;Image segmentation;Interference;Principal component analysis}, doi={10.1109/ICASSP.2005.1415522}, ISSN={1520-6149}, keywords = {CV} } - H. M. D. Ip, E. M. Drakakis, and A. A. Bharath, “An efficient cnn implementation of a 2D orientation and scale tunable low-pass filter based on the approximation of an oriented 2D Gaussian filter,” in 48th midwest symposium on circuits and systems, 2005, p. 895–898.
[BibTeX]@inproceedings{ip2005efficient, title={An efficient CNN implementation of a {2D} orientation and scale tunable low-pass filter based on the approximation of an oriented {2D} {Gaussian} filter}, author={Ip, Henry M.D. and Drakakis, Emmanuel M. and Bharath, Anil A.}, booktitle={48th Midwest Symposium on Circuits and Systems}, pages={895--898}, year={2005}, organization={IEEE}, keywords = {CV} }
2004
- J. Ng and A. A. Bharath, “Steering in scale space to optimally detect image structures,” in Computer vision – eccv 2004, Springer, 2004, p. 482–494.
[BibTeX]@incollection{ng2004steering, title={Steering in scale space to optimally detect image structures}, author={Ng, Jeffrey and Bharath, Anil A.}, booktitle={Computer Vision -- ECCV 2004}, pages={482--494}, year={2004}, publisher={Springer}, keywords = {CV} } - S. Basalamah, A. A. Bharath, and D. McRobbie, “Contrast marginalised gradient template matching,” in Computer vision – eccv 2004, T. Pajdla and J. Matas, Eds., Springer Berlin Heidelberg, 2004, vol. 3023, pp. 417-429. doi:10.1007/978-3-540-24672-5_33
[BibTeX] [Download PDF]@incollection{ContrastMarg2004, year={2004}, isbn={978-3-540-21982-8}, booktitle={Computer Vision -- ECCV 2004}, volume={3023}, series={Lecture Notes in Computer Science}, editor={Pajdla, Tomáš and Matas, Jiří}, doi={10.1007/978-3-540-24672-5_33}, title={Contrast Marginalised Gradient Template Matching}, url={http://dx.doi.org/10.1007/978-3-540-24672-5_33}, publisher={Springer Berlin Heidelberg}, author={Basalamah, Saleh and Bharath, Anil A. and McRobbie, Donald}, pages={417-429}, language={English}, keywords = {CV} } - C-S. Bouganis, P. Y. K. Cheung, J. Ng, and A. A. Bharath, “A steerable complex wavelet construction and its implementation on fpga,” in Field programmable logic and application, Springer, 2004, p. 394–403.
[BibTeX]@incollection{bouganis2004steerable, title={A steerable complex wavelet construction and its implementation on FPGA}, author={Bouganis, C-S and Cheung, Peter Y.K. and Ng, Jeffrey and Bharath, Anil A.}, booktitle={Field Programmable Logic and Application}, pages={394--403}, year={2004}, publisher={Springer} }
2003
- J. M. Lever, M. Dimaki, A. A. Bharath, M. Otawara, and H. Fujiwara, “Investigation of human carotid artery wall and atherosclerotic plaque mechanics using B-mode ultrasound,” in Proceedings of the asme summer bioengineering conference, 2003.
[BibTeX]@inproceedings{lever2003investigation, title={Investigation of human carotid artery wall and atherosclerotic plaque mechanics using {B-mode} ultrasound}, author={Lever, M. John and Dimaki, Maria and Bharath, Anil A. and Otawara, Masayuki and Fujiwara, Hideaki}, booktitle = {Proceedings of the ASME Summer Bioengineering Conference}, notes = {Key Biscayne, FL June 25-29, 2003}, month = {6}, year = {2003} } - S. Golemati, A. Sassano, J. M. Lever, A. A. Bharath, S. Dhanjil, and A. N. Nicolaides, “Carotid artery wall motion estimated from b-mode ultrasound using region tracking and block matching,” Ultrasound in medicine & biology, vol. 29, iss. 3, p. 387–399, 2003.
[BibTeX]@article{golemati2003carotid, title={Carotid artery wall motion estimated from B-mode ultrasound using region tracking and block matching}, author={Golemati, Spyretta and Sassano, Antonio and Lever, M. John and Bharath, Anil A. and Dhanjil, Surinder and Nicolaides, Andrew N.}, journal={Ultrasound in Medicine \& Biology}, volume={29}, number={3}, pages={387--399}, year={2003}, publisher={Elsevier} }
2002
- E. M. Martinez-Perez, A. D. Hughes, A. V. Stanton, S. A. Thom, N. Chapman, A. A. Bharath, and K. H. Parker, “Retinal vascular tree morphology: a semi-automatic quantification.,” Ieee transactions on biomedical engineering, vol. 49, iss. 8, p. 912–917, 2002.
[BibTeX]@article{martinez2002retinal, title={Retinal vascular tree morphology: a semi-automatic quantification.}, author={Martinez-Perez, M. Elena and Hughes, Alun D. and Stanton, Alice V. and Thom, Simon A. and Chapman, Neil and Bharath, Anil Anthony and Parker, Kim H.}, journal={IEEE Transactions on Biomedical Engineering}, volume={49}, number={8}, pages={912--917}, year={2002} }
2001
- N. Chapman, N. Witt, X. Gao, A. A. Bharath, A. V. Stanton, S. Thom, and A. Hughes, “Computer algorithms for the automated measurement of retinal arteriolar diameters,” British journal of ophthalmology, vol. 85, iss. 1, p. 74–79, 2001.
[BibTeX]@article{chapman2001computer, title={Computer algorithms for the automated measurement of retinal arteriolar diameters}, author={Chapman, N. and Witt, N. and Gao, X. and Bharath, A.A. and Stanton, A.V. and Thom, SA and Hughes, AD}, journal={British Journal of Ophthalmology}, volume={85}, number={1}, pages={74--79}, year={2001}, publisher={BMJ Publishing Group Ltd.} } - M. Hamm and A. A. Bharath, “Circle size by fusion of pyramidal transform data,” in A dera/iee workshop on intelligent sensor processing (ref. no. 2001/050), 2001, p. 12/1–12/6. doi:10.1049/ic:20010107
[BibTeX]@INPROCEEDINGS{HammBharath, author={Hamm, M. and Bharath, A.A.}, booktitle={A DERA/IEE Workshop on Intelligent Sensor Processing (Ref. No. 2001/050)}, title={Circle size by fusion of pyramidal transform data}, year={2001}, month={2}, pages={12/1--12/6}, keywords={Hough transforms;feature extraction;filtering theory;image representation;sensor fusion;circle size;data fusion;digital images;feature detection;filtering;image representation;pyramidal response space;pyramidal transform data;rotating kernel function;shape transform}, doi={10.1049/ic:20010107}, keywords = {CV} } - X. W. Gao, A. Bharath, A. Stanton, A. Hughes, N. Chapman, and S. Thom, “Measurement of vessel diameters on retinal for cardiovascular studies,” in Proceedings of the 2001 conference on medical image understanding & analysis, 2001.
[BibTeX]@inproceedings{gao2001measurement, title={Measurement of vessel diameters on retinal for cardiovascular studies}, author={Gao, Xiaohong W and Bharath, Anil and Stanton, Alice and Hughes, Alun and Chapman, Neil and Thom, Simon}, booktitle = {Proceedings of the 2001 Conference on Medical Image Understanding \& Analysis}, year={2001}, publisher={Medical Imaging Understanding and Analysis} } - M. Martinez-Perez, A. D. Hughes, A. V. Stanton, S. A. Thom, N. Chapman, A. A. Bharath, and K. H. Parker, “P-289: changes of retinal blood vessel tree topology in hypertension,” American journal of hypertension, vol. 14, iss. S1, p. 125A, 2001. doi:10.1016/S0895-7061(01)01460-1
[BibTeX] [Abstract] [Download PDF]
{Early retinal changes in hypertension (HT) are difficult to assess. The aim of this analysis was to assess whether topological indices of the retinal vascular tree may provide sensitive measures of retinal vascular disease in HT. Retinal images from 10 normo- (Norm: Age = 44±4yrs
@article{Martinez-Perez01042001, author = {Martinez-Perez, M.Elena and Hughes, Alan D. and Stanton, Alice V. and Thom, Simon A. and Chapman, Neil and Bharath, Anil A. and Parker, Kim H.}, title = {P-289: Changes of retinal blood vessel tree topology in hypertension}, volume = {14}, number = {S1}, pages = {125A}, year = {2001}, doi = {10.1016/S0895-7061(01)01460-1}, abstract ={Early retinal changes in hypertension (HT) are difficult to assess. The aim of this analysis was to assess whether topological indices of the retinal vascular tree may provide sensitive measures of retinal vascular disease in HT. Retinal images from 10 normo- (Norm: Age = 44±4yrs, BP=122±2/73±2) and 10 age and sex matched hypertensive (HT: Age = 41±4yrs, BP=160±6/97±4) were image processed and analysed as binary rooted trees. Six topological indices were examined: the total number of external (or terminal) edges (NT), the maximum tree exterior path length or altitude (A), the total exterior path length (Pe), the number of external-internal edges (EI), the asymmetry (As), where As = (N+1-2A)/(2A -2A), and the Strahler branching ratio (R). All topological indices were calculated for both arterial and venous trees with NT >4 and, for comparison of trees of different sizes, A, Pe and EI were normalised by NT. Table 1 shows the normalised data for arterial trees. There were marked significant differences in A, Pe and EI when normal and HT were compared, despite minimal clinical evidence of retinal vascular changes. There were no significant difference for any index for venous trees. Comparing R for different Strahler orders showed that neither arterial nor venous trees were self-similar. Topological analysis of the retinal microvasculature may have potential value in the evaluation of hypertensive target organ damage, and in monitoring response to therapy.Normalised topological indices for retinal arterial trees, mean± SD. p values were calculated by Student's t-test.}, URL = {http://ajh.oxfordjournals.org/content/14/S1/125A.2.abstract}, eprint = {http://ajh.oxfordjournals.org/content/14/S1/125A.2.full.pdf+html}, journal = {American Journal of Hypertension} } - X. W. Gao, A. Bharath, A. Stanton, A. Hughes, N. Chapman, and S. Thom, “A method of vessel tracking for vessel diameter measurement on retinal images,” in Proceedings 2001 international conference on image processing, 2001, p. 881–884.
[BibTeX] [Abstract]
A method of vessel tracking has been developed for quantification of vessel diameters of retinal images. This method utilises twin Gaussian functions to model the distribution of grey level over a vessel cross section. The diameter of the vessel at the cross section can then be calculated using the functions. The variation of vessel diameter in the direction of vessel longitude axis has been described by a tracking technique based on parameters of modelled intensity distribution curves over every cross section. This enables us to obtain an average diameter over any length of a vessel and to develop more parameters for diagnosis and study of vascular diseases
@inproceedings{Gao2001, abstract = {A method of vessel tracking has been developed for quantification of vessel diameters of retinal images. This method utilises twin Gaussian functions to model the distribution of grey level over a vessel cross section. The diameter of the vessel at the cross section can then be calculated using the functions. The variation of vessel diameter in the direction of vessel longitude axis has been described by a tracking technique based on parameters of modelled intensity distribution curves over every cross section. This enables us to obtain an average diameter over any length of a vessel and to develop more parameters for diagnosis and study of vascular diseases}, author = {Gao, Xiaohong W and Bharath, Anil and Stanton, Alice and Hughes, Alun and Chapman, Neil and Thom, Simon}, booktitle = {Proceedings 2001 International Conference on Image Processing}, number = {3}, pages = {881--884}, publisher = {IEEE}, title = {A method of vessel tracking for vessel diameter measurement on retinal images}, volume = {2}, year = {2001}, keywords = {CV} } - S. Golemati, A. Sassano, M. J. Lever, B. A.A., S. Dhanjil, and A. N. Nicolaides, “Arterial distension waveform from B-mode ultrasound: comparison with M-mode ultrasound,” in 9th mediterranean conference on medical and biological engineering and computing, 2001, pp. 569-572.
[BibTeX]@inproceedings{Golemati:2001, author = {Golemati, S and Sassano, A and Lever, M J and Bharath A.A. and Dhanjil, S. and Nicolaides, A.N.}, title = {Arterial distension waveform from {B}-mode ultrasound: Comparison with {M}-mode ultrasound}, booktitle = {9th Mediterranean Conference on Medical and Biological Engineering and Computing}, pages = {569-572}, year = 2001, }
2000
- S. Golemati, A. Sassano, J. M. Lever, A. A. Bharath, S. Dhanjil, and A. N. Nicolaides, “Carotid artery wall motion in humans, estimated from B-mode ultrasound images,” The journal of physiology, vol. 525, iss. Suppl, p. 11P–12P, 2000.
[BibTeX]@article{golemati2000carotid, title={Carotid artery wall motion in humans, estimated from {B}-mode ultrasound images}, author={Golemati, Spiretta and Sassano, Antonio and Lever, M. John and Bharath, Anil A. and Dhanjil, Surinder and Nicolaides, Andrew N.}, journal={The Journal of Physiology}, volume={525}, number={Suppl}, pages={11P--12P}, year={2000}, publisher={Physiological Soc.} } - E. M. Martínez-Pérez, A. D. Hughes, A. V. Stanton, S. A. Thom, N. Chapman, A. A. Bharath, and K. H. Parker, “Geometrical and morphological analysis of vascular branches from fundus retinal images,” in Medical image computing and computer-assisted intervention – miccai 2000, S. Delp, A. DiGoia, and B. Jaramaz, Eds., Springer–Berlin–Heidelberg, 2000, vol. 1935, pp. 756-765. doi:10.1007/978-3-540-40899-4_78
[BibTeX] [Download PDF]@incollection{PerezMICCAI2000, year={2000}, isbn={978-3-540-41189-5}, booktitle={Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000}, volume={1935}, series={Lecture Notes in Computer Science}, editor={Delp, ScottL. and DiGoia, AnthonyM. and Jaramaz, Branislav}, doi={10.1007/978-3-540-40899-4_78}, title={Geometrical and Morphological Analysis of Vascular Branches from Fundus Retinal Images}, url={http://dx.doi.org/10.1007/978-3-540-40899-4_78}, publisher={Springer--Berlin--Heidelberg}, author={Martínez-Pérez, M. Elena and Hughes, Alun D. and Stanton, Alice V. and Thom, Simon A. and Chapman, Neil and Bharath, Anil A. and Parker, Kim H.}, pages={756-765}, language={English}, keywords = {CV} } - A. A. Bharath, “A tiling of phase-space through self-convolution,” , vol. 48, iss. 12, 2000. doi:10.1109/78.887054
[BibTeX]@article{Bharath2000, author = {Bharath, A A}, booktitle = {IEEE Transactions on Signal Processing}, doi = {10.1109/78.887054}, issn = {1053587X}, number = {12}, title = {{A tiling of phase-space through self-convolution}}, volume = {48}, year = {2000}, keywords = {CV} } - X. W. Gao, A. Bharath, A. Stanton, A. Hughes, N. Chapman, and S. Thom, “Quantification and characterization of arteries in retinal images,” Computer methods and programs in biomedicine, vol. 63, iss. 2, p. 133–146, 2000.
[BibTeX] [Abstract]
A computerised system is presented for the automatic quantification of blood vessel topography in retinal images. This system utilises digital image processing techniques to provide more reliable and comprehensive information for the retinal vascular network. It applies strategies and algorithms for measuring vascular trees and includes methods for locating the centre of a bifurcation, detecting vessel branches, estimating vessel diameter, and calculating angular geometry at a bifurcation. The performance of the system is studied by comparison with manual measurements and by comparing measurements between red-free images and fluorescein images. In general an acceptable degree of accuracy and precision was seen for all measurements, although the system had difficulty dealing with very noisy images and small or especially tortuous blood vessels.
@article{Gao2000, abstract = {A computerised system is presented for the automatic quantification of blood vessel topography in retinal images. This system utilises digital image processing techniques to provide more reliable and comprehensive information for the retinal vascular network. It applies strategies and algorithms for measuring vascular trees and includes methods for locating the centre of a bifurcation, detecting vessel branches, estimating vessel diameter, and calculating angular geometry at a bifurcation. The performance of the system is studied by comparison with manual measurements and by comparing measurements between red-free images and fluorescein images. In general an acceptable degree of accuracy and precision was seen for all measurements, although the system had difficulty dealing with very noisy images and small or especially tortuous blood vessels.}, author = {Gao, Xiaohong W and Bharath, Anil and Stanton, Alice and Hughes, Alun and Chapman, Neil and Thom, Simon}, journal = {Computer Methods and Programs in Biomedicine}, keywords = {computer assisted,computer assisted methods,diagnostic imaging,diagnostic imaging methods,humans,image processing,kidney,kidney blood supply,renal artery,renal artery anatomy \& histology}, number = {2}, pages = {133--146}, publisher = {Elsevier Science}, title = {Quantification and characterization of arteries in retinal images}, volume = {63}, year = {2000} }
1999
- R. Schroter, A. Leeming, E. Denny, A. Bharath, and D. Marlin, “Modelling impact-initiated wave transmission through lung parenchyma in relation to the aetiology of exercise-induced pulmonary haemorrhage,” Equine veterinary journal, vol. 31, iss. S30, p. 34–38, 1999.
[BibTeX]@article{schroter1999modelling, title={Modelling impact-initiated wave transmission through lung parenchyma in relation to the aetiology of exercise-induced pulmonary haemorrhage}, author={Schroter, RC and Leeming, A and Denny, E and Bharath, A and Marlin, DJ}, journal={Equine Veterinary Journal}, volume={31}, number={S30}, pages={34--38}, year={1999}, publisher={Wiley Online Library} } - E. M. Martinez-Perez, A. D. Hughes, A. V. Stanton, S. A. Thom, A. A. Bharath, and K. H. Parker, “Segmentation of retinal blood vessels based on the second directional derivative and region growing,” in Proceedings of the international conference on image processing (icip ’99), 1999, p. 173–176.
[BibTeX]@inproceedings{martinez1999segmentation, title={Segmentation of retinal blood vessels based on the second directional derivative and region growing}, author={Martinez-Perez, M. Elena and Hughes, Alun D. and Stanton, Alice V. and Thom, Simon A. and Bharath, Anil A. and Parker, Kim H.}, booktitle={Proceedings of the International Conference on Image Processing (ICIP '99)}, volume={2}, pages={173--176}, year={1999}, organization={IEEE}, keywords = {CV} } - A. A. Bharath and C. J. Huberson, “Obtaining medial responses from steerable filters,” Iee proceedings–vision, image and signal processing, vol. 146, iss. 5, p. 286–292, 1999.
[BibTeX]@article{bharath1999obtaining, title={Obtaining medial responses from steerable filters}, author={Bharath, A.A. and Huberson, C.J.}, journal={IEE Proceedings--Vision, Image and Signal Processing}, volume={146}, number={5}, pages={286--292}, year={1999}, publisher={IET}, keywords = {CV} } - E. M. Mart{‘i}nez-Pérez, A. D. Hughes, A. V. Stanton, S. A. Thom, A. A. Bharath, and K. H. Parker, “Retinal blood vessel segmentation by means of scale-space analysis and region growing,” in Medical image computing and computer-assisted intervention–miccai’99, 1999, p. 90–97.
[BibTeX]@inproceedings{martinez1999retinal, title={Retinal blood vessel segmentation by means of scale-space analysis and region growing}, author={Mart{\'\i}nez-P{\'e}rez, M Elena and Hughes, Alun D and Stanton, Alice V. and Thom, Simon A. and Bharath, Anil A. and Parker, Kim H.}, booktitle={Medical Image Computing and Computer-Assisted Intervention--MICCAI’99}, pages={90--97}, year={1999}, organization={Springer}, keywords = {CV} } - E. M. Mart{‘i}nez-Pérez, A. D. Hughes, A. V. Stanton, S. A. Thom, A. A. Bharath, and K. H. Parker, “Scale-space analysis for the characterisation of retinal blood vessels,” in Proceedings of the conference on medical image understanding and analysis (miua’99), 1999, pp. 57-60.
[BibTeX]@inproceedings{martinez1999MIUA, title={Scale-space analysis for the characterisation of retinal blood vessels}, author={Mart{\'\i}nez-P{\'e}rez, M. Elena and Hughes, Alun D. and Stanton, Alice V. and Thom, Simon A. and Bharath, Anil A. and Parker, Kim H.}, booktitle={Proceedings of the Conference on Medical Image Understanding and Analysis (MIUA'99)}, pages={57-60}, year={1999}, notes = {19th-20th July 1999, Oxford, UK} }
1998
- A. Bharath, “Scale steerability of class of complex digital filters,” Electronics letters, vol. 34, iss. 11, p. 1087–1088, 1998.
[BibTeX]@article{bharath1998scale, title={Scale steerability of class of complex digital filters}, author={Bharath, AA}, journal={Electronics Letters}, volume={34}, number={11}, pages={1087--1088}, year={1998}, publisher={IET}, keywords = {CV} } - A. A. Bharath, “Steerable filters from erlang functions,” in Proceedings of the british machine vision conference, 1998, p. 15.1-15.10. doi:doi:10.5244/C.12.15
[BibTeX]@inproceedings{BMVC.12.15, title = {Steerable Filters from Erlang Functions}, author = {Bharath, A. A.}, year = {1998}, pages = {15.1-15.10}, booktitle = {Proceedings of the British Machine Vision Conference}, publisher = {BMVA Press}, editors = {Nixon, Mark and Carter, John}, isbn = {1-901725-04-9}, doi = {doi:10.5244/C.12.15} } - G. Li and A. A. Bharath, “Numeric study of limited diffraction, bandlimited, acoustic waves: a novel solution family of the Homogeneous Scalar Wave Equation,” Wave motion, vol. 28, iss. 3, p. 203–213, 1998.
[BibTeX]@article{li1998numeric, title={Numeric study of limited diffraction, bandlimited, acoustic waves: a novel solution family of the {Homogeneous} {Scalar} {Wave} {Equation}}, author={Li, G. and Bharath, A.A.}, journal={Wave Motion}, volume={28}, number={3}, pages={203--213}, year={1998}, publisher={Elsevier} } - G. Li and A. A. Bharath, “A novel family of limited diffraction, wideband ultrasonic wave pulses,” Ultrasonics, vol. 36, iss. 8, p. 879–881, 1998.
[BibTeX]@article{li1998novel, title={A novel family of limited diffraction, wideband ultrasonic wave pulses}, author={Li, G. and Bharath, A.A.}, journal={Ultrasonics}, volume={36}, number={8}, pages={879--881}, year={1998}, publisher={Elsevier} } - T. Mouroutis, S. J. Roberts, and A. A. Bharath, “Robust cell nuclei segmentation using statistical modelling,” Bioimaging, vol. 6, iss. 2, pp. 79-91, 1998.
[BibTeX]@article{mouroutis1998robust, title={Robust cell nuclei segmentation using statistical modelling}, author={Mouroutis, Theodoros and Roberts, Stephen J. and Bharath, Anil A.}, journal = {Bioimaging}, volume = {6}, number = {2}, pages = {79-91}, year={1998}, publisher={Institute of Physics}, }
1997
- T. J. Tegos, L. Guang, M. Daskalopoulos, S. Dhanjil, T. Shokry, M. Sabetai, A. Bharath, D. Thomas, and A. N. Nicolaides, “The identification of unstable carotid plaque,” European journal of ultrasound, vol. 5, iss. 1001, p. 6–6, 1997.
[BibTeX]@article{tegos1997identification, title={The identification of unstable carotid plaque}, author={Tegos, T.J. and Guang, L. and Daskalopoulos, M. and Dhanjil, S. and Shokry, T. and Sabetai, M. and Bharath, A. and Thomas, D. and Nicolaides, A.N.}, journal={European Journal of Ultrasound}, volume={5}, number={1001}, pages={6--6}, year={1997}, publisher={Elsevier} } - X. Gao, A. A. Bharath, A. J. Hughes, A. Stanton, N. Chapman, and S. Thom, “Toward retinal vessel parameterization,” in Proceedings of the spie conference on medical imaging, 1997, p. 734–744.
[BibTeX]@inproceedings{gao1997toward, title={Toward retinal vessel parameterization}, author={Gao, Xiaohong and Bharath, Anil A. and Hughes, Alun J. and Stanton, Alice and Chapman, Neil and Thom, Simon}, booktitle={Proceedings of the SPIE Conference on Medical Imaging}, pages={734--744}, year={1997}, organization={International Society for Optics and Photonics} } - T. Mouroutis, S. J. Roberts, A. A. Bharath, and G. Alusi, “Compact Hough Transform and a maximum likelihood approach to cell nuclei detection,” in Proceedings of $13^{th}$ international conference on digital signal processing, 1997, p. 869–872. doi:10.1109/ICDSP.1997.628493
[BibTeX] [Abstract]
This paper presents the idea of a batch form of the Hough transform, the compact Hough transform (CHT), which aims at detecting locations with high probability of belonging to a shape of an approximate size. The CHT is used in the problem of segmentation of cell nuclei, where the nuclear boundary is detected using a method based on the maximum likelihood approach
@inproceedings{Mouroutis1997, abstract = {This paper presents the idea of a batch form of the Hough transform, the compact Hough transform (CHT), which aims at detecting locations with high probability of belonging to a shape of an approximate size. The CHT is used in the problem of segmentation of cell nuclei, where the nuclear boundary is detected using a method based on the maximum likelihood approach}, author = {Mouroutis, T and Roberts, S J and Bharath, A A and Alusi, G}, booktitle = {Proceedings of $13^{th}$ International Conference on Digital Signal Processing}, doi = {10.1109/ICDSP.1997.628493}, isbn = {0780341376}, pages = {869--872}, publisher = {IEEE}, title = {{Compact {Hough} {Transform} and a maximum likelihood approach to cell nuclei detection}}, volume = {2}, year = {1997}, keywords = {CV} } - G. Li and A. A. Bharath, “Computer simulation of a novel family of non-diffracting band-limited acoustic wave pulses,” Acoustics letters, vol. 20, iss. 8, p. 174–180, 1997.
[BibTeX]@article{li1997computer, title={Computer simulation of a novel family of non-diffracting band-limited acoustic wave pulses}, author={Li, G. and Bharath, A.A.}, journal={Acoustics Letters}, volume={20}, number={8}, pages={174--180}, year={1997}, publisher={Multi Science} }
1996
- S. Claesen, A. A. Bharath, and R. I. Kitney, “The DICOM 3.0 object model for medical ultrasonic imaging,” in Eurographics conference proceedings, 1996, pp. 1-10.
[BibTeX]@inproceedings{Claesen:96, title = {The {DICOM 3.0} Object Model for Medical Ultrasonic Imaging}, author = {Claesen, S. and Bharath, A. A. and Kitney, R. I.}, booktitle = {Eurographics Conference Proceedings}, pages = {1-10}, year = {1996}, ISBN = {0952109735}, notes = {26th-28th March, 1996} } - A. Ahmadian and A. A. Bharath, “Orthogonal wavelets for image transmission and compression schemes: implementation and results,” in Spie 1996 international symposium on optical science, engineering, and instrumentation, 1996, p. 822–833.
[BibTeX]@inproceedings{ahmadian1996orthogonal, title={Orthogonal wavelets for image transmission and compression schemes: Implementation and results}, author={Ahmadian, Alireza and Bharath, Anil A.}, booktitle={SPIE 1996 International Symposium on Optical Science, Engineering, and Instrumentation}, pages={822--833}, year={1996}, organization={International Society for Optics and Photonics} } - M. P. S. F. Gomes and A. A. Bharath, “Formal description of regular patterns,” in 8th portuguese conference on pattern recognition, 1996, pp. 205-214.
[BibTeX]@inproceedings{Gomes:Recpad1996, author = {Gomes, M.P.S.F and Bharath, A.A.}, title = {Formal Description of Regular Patterns}, booktitle = {8th Portuguese Conference on Pattern Recognition}, pages = {205-214}, year ={1996} }
1995
- S. Claesen, G. Heart, W. Li, A. Bharath, S. Chandra, R. Kitney, J. Dewey C.F., and J. D. Thomas, “American society for echocardiography software suite for verification and playback of ultrasonic cine-mode images,” in Computers in cardiology 1995, 1995, pp. 581-583. doi:10.1109/CIC.1995.482731
[BibTeX]@INPROCEEDINGS{482731, author={Claesen, S. and Heart, G. and Li, W. and Bharath, A. and Chandra, S. and Kitney, R. and Dewey, C.F., Jr. and Thomas, J.D.}, booktitle={Computers in Cardiology 1995}, title={American society for echocardiography software suite for verification and playback of ultrasonic cine-mode images}, year={1995}, month={Sept}, pages={581-583}, keywords={echocardiography;graphical user interfaces;image colour analysis;medical image processing;random-access storage;software standards;transport protocols;American society for echocardiography;DICOM 3.0 conformance;TCP/IP network;digital storage formats;digital ultrasound data;draft DICOM 3.0 module;graphical user-interface;parsing;public domain;reading;real-time;software suite;standard;standard computer hardware;ultrasonic cine-mode images;verifying;Biomedical imaging;DICOM;Echocardiography;Educational institutions;Hardware;Image analysis;Image recognition;Image storage;Software standards;Ultrasonic imaging}, doi={10.1109/CIC.1995.482731}, }
1994
- R. I. Kitney, S. Mihanetzis, R. Bickram, A. Bharath, and C. F. Dewey, “An object oriented multi-modality display and analysis system incorporating DICOM 3,” in Computers in cardiology, 1994, p. 181–183.
[BibTeX]@inproceedings{kitney1994object, title={An object oriented multi-modality display and analysis system incorporating {DICOM 3}}, author={Kitney, R. I. and Mihanetzis, S. and Bickram, R. and Bharath, A. and Dewey, C. F.}, booktitle={Computers in Cardiology}, pages={181--183}, year={1994}, organization={IEEE} } - A. A. Bharath, A. Ahmadian, and R. I. Kitney, “Progressive transmission of echocardiographic images using the orthogonal wavelet transform,” in Computers in cardiology, 1994. doi:10.1109/CIC.1994.470200
[BibTeX] [Abstract]
There is often a requirement to display a mosaic of images, which may typically be image slices of a 3D data set, or frames of an image sequence. Often, this mosaic of images need not consist of particularly high resolution images, but are closer to images in concept. In a typical application environment, a user would select the images of interest in the sequence, and have those displayed at higher pixel resolution. The authors show that the wavelet transform is a natural tool for progressive transmission of images, to encompass both the display of initial and interpolated images, and the display of high resolution images through transmission of successive image detail
@inproceedings{Bharath1994, abstract = {There is often a requirement to display a mosaic of images, which may typically be image slices of a 3D data set, or frames of an image sequence. Often, this mosaic of images need not consist of particularly high resolution images, but are closer to images in concept. In a typical application environment, a user would select the images of interest in the sequence, and have those displayed at higher pixel resolution. The authors show that the wavelet transform is a natural tool for progressive transmission of images, to encompass both the display of initial and interpolated images, and the display of high resolution images through transmission of successive image detail}, author = {Bharath, A. A. and Ahmadian, A. and Kitney, R. I.}, booktitle = {Computers in Cardiology}, doi = {10.1109/CIC.1994.470200}, isbn = {081866570X}, title = {{Progressive transmission of echocardiographic images using the orthogonal wavelet transform}}, year = {1994} }
1992
- A. A. Bharath and R. I. Kitney, “Advanced spectral estimators for detailed blood flow studies,” Journal of biomechanical engineering, vol. 114, iss. 1, p. 34–39, 1992.
[BibTeX] [Abstract]
Recent publications have emphasized the relationship between the spectrum of the backscattered acoustic signal, beam geometry, and flow patterns in the measurement of blood flow by Doppler ultrasound. On this basis, we believe that in the future more importance will be placed on analyzing various characteristics of the spectral shape rather than absolute parameters of measurement, such as the mean frequency. The potential of this approach for extracting more information from the raw Doppler signal is introduced by considering the Spectral Broadening Index (SBI). We explain the use of the SBI parameter for measuring flow angle under restricted flow conditions. This is done by using an analytic/computational model for prediction of the spectral broadening effect. By simulation study, the performance of various spectral estimators for determining the SBI from finite Doppler signal segments is evaluated.
@article{Bharath1992, abstract = {Recent publications have emphasized the relationship between the spectrum of the backscattered acoustic signal, beam geometry, and flow patterns in the measurement of blood flow by Doppler ultrasound. On this basis, we believe that in the future more importance will be placed on analyzing various characteristics of the spectral shape rather than absolute parameters of measurement, such as the mean frequency. The potential of this approach for extracting more information from the raw Doppler signal is introduced by considering the Spectral Broadening Index (SBI). We explain the use of the SBI parameter for measuring flow angle under restricted flow conditions. This is done by using an analytic/computational model for prediction of the spectral broadening effect. By simulation study, the performance of various spectral estimators for determining the SBI from finite Doppler signal segments is evaluated.}, author = {Bharath, A. A. and Kitney, R. I.}, journal = {Journal of Biomechanical Engineering}, number = {1}, pages = {34--39}, pmid = {1491584}, title = {Advanced spectral estimators for detailed blood flow studies}, volume = {114}, year = {1992} } - A. A. Bharath and R. I. Kitney, “Further theoretical investigations into Doppler angle dependence,” in Journal of physiology – london, 1992, p. P218–P218.
[BibTeX]@inproceedings{bharath1992further, title={Further Theoretical Investigations Into {Doppler} Angle Dependence}, author={Bharath, A.A. and Kitney, R.I.}, booktitle={Journal Of Physiology -- London}, volume={452}, pages={P218--P218}, year={1992}, organization={Cambridge University Press} } - A. A. Bharath, P. Mendel, R. I. Kitney, and R. Langford, “Heart rate variability in spontaneously breathing and mechanically ventilated patients,” in Computers in cardiology, 1992. doi:10.1109/CIC.1992.269540
[BibTeX] [Abstract]
The authors present the results of an initial study of heart-rate variability (HRV) in patients receiving intensive care with acute intracranial disorders. They develop and assess an all-software approach to analyzing the HRV from both gated and raw electrocardiographic data. The pitfalls inherent in HRV analysis of ventilated patients are discussed. The results of the study suggest that respiratory sinus arrhythmia may occur via peripheral pathways in apnoeic ventilated patients
@inproceedings{Bharath1992a, abstract = {The authors present the results of an initial study of heart-rate variability (HRV) in patients receiving intensive care with acute intracranial disorders. They develop and assess an all-software approach to analyzing the HRV from both gated and raw electrocardiographic data. The pitfalls inherent in HRV analysis of ventilated patients are discussed. The results of the study suggest that respiratory sinus arrhythmia may occur via peripheral pathways in apnoeic ventilated patients}, author = {Bharath, A. A. and Mendel, P. and Kitney, R. I. and Langford, R.}, booktitle = {Computers in Cardiology}, doi = {10.1109/CIC.1992.269540}, isbn = {0818635525}, title = {Heart rate variability in spontaneously breathing and mechanically ventilated patients}, year = {1992} }
1991
- A. A. Bharath and R. I. Kitney, “Comparison of Doppler simulators,” in Proceedings of the world congress on medical physics and biomedical engineering, 1991.
[BibTeX]@inproceedings{BharathSim:91, author = {Bharath,A.A. and Kitney,R.I.}, title = {Comparison of {Doppler} simulators}, booktitle = {Proceedings of the World Congress on Medical Physics and Biomedical Engineering}, year = {1991} } - A. A. Bharath and R. I. Kitney, “Importance of flow-vector orientation in estimation of velocity profile,” in Proceedings of the world congress on medical physics and biomedical engineering, 1991.
[BibTeX]@inproceedings{Bharath:1991, author = {Bharath, A.A. and Kitney, R.I.}, title = {Importance of flow-vector orientation in estimation of velocity profile}, booktitle = {Proceedings of the World Congress on Medical Physics and Biomedical Engineering}, year = {1991} } - A. A. Bharath, R. I. Kitney, and A. Kardan, “A new intravascular technique for Doppler velocimetry,” in 1991 proceedings computers in cardiology, 1991, p. 725–728. doi:10.1109/CIC.1991.169014
[BibTeX] [Abstract]
Considers a new technique for intravascular Doppler ultrasound flow measurement. The authors describe the use of sidemounted crystals for the acquisition of flow data. Doppler measurements of flow parallel to the face of a transducer are normally considered impossible. However, because of the variation of the acoustic field intensity in a direction parallel to the transducer face, or due to small levels of misalignment, coplanar velocity measurement is possible
@inproceedings{Bharath1991, abstract = {Considers a new technique for intravascular Doppler ultrasound flow measurement. The authors describe the use of sidemounted crystals for the acquisition of flow data. Doppler measurements of flow parallel to the face of a transducer are normally considered impossible. However, because of the variation of the acoustic field intensity in a direction parallel to the transducer face, or due to small levels of misalignment, coplanar velocity measurement is possible}, author = {Bharath, A. A. and Kitney, R. I. and Kardan, A.}, booktitle = {1991 Proceedings Computers in Cardiology}, doi = {10.1109/CIC.1991.169014}, isbn = {081862485X}, title = {A new intravascular technique for {Doppler} velocimetry}, year = {1991}, pages = {725--728} }
- A. A. Bharath, A. Ahmadian, and R. I. Kitney, “Progressive transmission of echocardiographic images for remote diagnosis and teleconferencing using the orthogonal wavelet transform,” , pp. 261-264.
[BibTeX]@inproccedings{bharathprog:94, title = {Progressive transmission of echocardiographic images for remote diagnosis and teleconferencing using the orthogonal wavelet transform}, author = {Bharath,A.A. and Ahmadian, A. and Kitney,R.I.}, booktitle = {IEEE Proceedings on Computers in Cardiology}, pages = {261-264}, }