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ORCIDAnil A. Bharath
Anil Anthony Bharath
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- affiliation: Imperial College London, Data Sciences Institute
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2020 – today
- 2025
[j32]Christoforos Galazis, Samuel Shepperd, Emma J. P. Brouwer, Sandro F. Queirós, Ebraham Alskaf, Mustafa Anjari, Amedeo Chiribiri, Jack Lee, Anil A. Bharath, Marta Varela:
High-Resolution Maps of Left Atrial Displacements and Strains Estimated With 3D Cine MRI Using Online Learning Neural Networks. IEEE Trans. Medical Imaging 44(5): 2056-2067 (2025)- [i36]Viktor Schlegel, Anil A. Bharath, Zilong Zhao, Kevin Yee:
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead. CoRR abs/2503.20846 (2025) - 2024
- [j31]Konstantinos Ntagiantas
, Eduardo Pignatelli, Nicholas S. Peters, Chris D. Cantwell, Rasheda A. Chowdhury, Anil A. Bharath:
Estimation of fibre architecture and scar in myocardial tissue using electrograms: An in-silico study. Biomed. Signal Process. Control. 89: 105746 (2024) - [c53]Y. On, Kavitha Vimalesvaran, Sameer Zaman, Matthew J. Shun-Shin, James Howard, N. Linton, Graham Cole, Anil A. Bharath, Marta Varela:
Classification of Mitral Regurgitation from Cardiac Cine MRI Using Clinically-Interpretable Morphological Features. CMRxRecon/MBAS/STACOM@MICCAI 2024: 245-256 - [i35]Christoforos Galazis, Ching-En Chiu, Tomoki Arichi, Anil A. Bharath, Marta Varela:
PINNing Cerebral Blood Flow: Analysis of Perfusion MRI in Infants using Physics-Informed Neural Networks. CoRR abs/2410.19759 (2024) - 2023
- [j30]Fatmatülzehra Uslu, Anil A. Bharath:
TMS-Net: A segmentation network coupled with a run-time quality control method for robust cardiac image segmentation. Comput. Biol. Medicine 152: 106422 (2023) - [c52]Marta Varela, Anil A. Bharath:
Prototype of a Cardiac MRI Simulator for the Training of Supervised Neural Networks. FIMH 2023: 366-374 - [c51]Y. On, Kavitha Vimalesvaran, Christoforos Galazis, Sameer Zaman, James Howard, N. Linton, N. Peters, Graham Cole, Anil A. Bharath, Marta Varela:
Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps. FIMH 2023: 648-657 - [c50]Stathi Fotiadis, Mario Lino Valencia, Shunlong Hu, Stef Garasto, Chris D. Cantwell, Anil Anthony Bharath:
Disentangled Generative Models for Robust Prediction of System Dynamics. ICML 2023: 10222-10248 - [i34]Christoforos Galazis, Anil Anthony Bharath, Marta Varela:
High-resolution 3D Maps of Left Atrial Displacements using an Unsupervised Image Registration Neural Network. CoRR abs/2309.02179 (2023) - [i33]Christoforos Galazis, Samuel Shepperd, Emma Brouwer, Sandro F. Queirós, Ebraham Alskaf, Mustafa Anjari, Amedeo Chiribiri, Jack Lee, Anil A. Bharath, Marta Varela:
High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D CINE MRI and Unsupervised Neural Networks. CoRR abs/2312.09387 (2023) - 2022
- [j29]Tianhong Dai, Yali Du, Meng Fang, Anil Anthony Bharath:
Diversity-augmented intrinsic motivation for deep reinforcement learning. Neurocomputing 468: 396-406 (2022) - [j28]Tianhong Dai, Kai Arulkumaran, Tamara Gerbert, Samyakh Tukra, Feryal M. P. Behbahani, Anil Anthony Bharath:
Analysing deep reinforcement learning agents trained with domain randomisation. Neurocomputing 493: 143-165 (2022) - [j27]Fatmatülzehra Uslu, Marta Varela, Georgia Boniface, Thakshayene Mahenthran, Henry Chubb, Anil A. Bharath:
LA-Net: A Multi-Task Deep Network for the Segmentation of the Left Atrium. IEEE Trans. Medical Imaging 41(2): 456-464 (2022) - [c49]Kavitha Vimalesvaran, Fatmatülzehra Uslu, Sameer Zaman, Christoforos Galazis, James Howard, Graham Cole, Anil A. Bharath:
Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View. MICCAI (1) 2022: 571-580 - [c48]Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell:
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics. TAG-ML 2022: 226-236 - [i32]Christoforos Galazis, Huiyi Wu, Zhuoyu Li, Camille Petri, Anil A. Bharath, Marta Varela:
Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation. CoRR abs/2203.00355 (2022) - [i31]Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell:
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks. CoRR abs/2205.02637 (2022) - [i30]Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell:
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics. CoRR abs/2205.07852 (2022) - [i29]Konstantinos Ntagiantas, Eduardo Pignatelli, Nicholas S. Peters, Chris D. Cantwell, Rasheda A. Chowdhury, Anil A. Bharath:
Estimating Cardiac Tissue Conductivity from Electrograms with Fully Convolutional Networks. CoRR abs/2212.03012 (2022) - [i28]Fatmatülzehra Uslu, Anil A. Bharath:
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation. CoRR abs/2212.10877 (2022) - 2021
- [j26]Yunxia Liu, Zeyu Zou, Yang Yang, Bonnie Ngai-Fong Law, Anil Anthony Bharath:
Efficient Source Camera Identification with Diversity-Enhanced Patch Selection and Deep Residual Prediction. Sensors 21(14): 4701 (2021) - [c47]Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath:
Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay. PRICAI (3) 2021: 32-45 - [c46]Christoforos Galazis, Huiyi Wu, Zhuoyu Li, Camille Petri, Anil A. Bharath, Marta Varela:
Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation. STACOM@MICCAI 2021: 268-276 - [i27]Mario Lino, Chris D. Cantwell, Anil A. Bharath, Stathi Fotiadis:
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks. CoRR abs/2106.04900 (2021) - [i26]Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath:
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay. CoRR abs/2108.07887 (2021) - [i25]Stathi Fotiadis, Mario Lino, Chris D. Cantwell, Anil A. Bharath:
Disentangling ODE parameters from dynamics in VAEs. CoRR abs/2108.11684 (2021) - 2020
- [j25]Fatmatülzehra Uslu, Cher Bass, Anil A. Bharath:
PERI-Net: a parameter efficient residual inception network for medical image segmentation. Turkish J. Electr. Eng. Comput. Sci. 28(4): 2261-2277 (2020) - [c45]Marta Varela, Sandro F. Queirós, Mustafa Anjari, Teresa Correia, Andrew P. King, Anil A. Bharath, Jack Lee:
Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol. EMBC 2020: 1178-1181 - [c44]Fatmatülzehra Uslu, Marta Varela, Anil A. Bharath:
A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice Numbers. EMBC 2020: 1198-1202 - [c43]Manon Flageat, Kai Arulkumaran, Anil A. Bharath:
Incorporating Human Priors into Deep Reinforcement Learning for Robotic Control. ESANN 2020: 229-234 - [c42]Ana Lourenço, Eric Kerfoot, Connor Dibblin, Ebraham Alskaf, Mustafa Anjari, Anil A. Bharath, Andrew P. King, Henry Chubb, Teresa Correia, Marta Varela:
Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI. M&Ms and EMIDEC/STACOM@MICCAI 2020: 137-145 - [i24]Stathi Fotiadis, Eduardo Pignatelli, Mario Lino Valencia, Chris D. Cantwell, Amos J. Storkey, Anil A. Bharath:
Comparing recurrent and convolutional neural networks for predicting wave propagation. CoRR abs/2002.08981 (2020) - [i23]Tianhong Dai, Hengyan Liu, Anil Anthony Bharath:
Episodic Self-Imitation Learning with Hindsight. CoRR abs/2011.13467 (2020) - [i22]Mario Lino Valencia, Chris D. Cantwell, Stathi Fotiadis, Eduardo Pignatelli, Anil A. Bharath:
Simulating Surface Wave Dynamics with Convolutional Networks. CoRR abs/2012.00718 (2020)
2010 – 2019
- 2019
- [j24]Yuchen Wang, Yang Yang, Yun-Xia Liu, Anil Anthony Bharath:
A Recursive Ensemble Learning Approach With Noisy Labels or Unlabeled Data. IEEE Access 7: 36459-36470 (2019) - [j23]Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis, Stef Garasto, Charles Houston, Rasheda A. Chowdhury, Fu Siong Ng, Anil A. Bharath, Nicholas S. Peters:
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling. Comput. Biol. Medicine 104: 339-351 (2019) - [j22]Fatmatülzehra Uslu, Anil Anthony Bharath:
A recursive Bayesian approach to describe retinal vasculature geometry. Pattern Recognit. 87: 157-169 (2019) - [j21]Antonia Creswell, Anil Anthony Bharath:
Denoising Adversarial Autoencoders. IEEE Trans. Neural Networks Learn. Syst. 30(4): 968-984 (2019) - [j20]Antonia Creswell, Anil Anthony Bharath:
Inverting the Generator of a Generative Adversarial Network. IEEE Trans. Neural Networks Learn. Syst. 30(7): 1967-1974 (2019) - [c41]Wilhelm E. Sorteberg, Stef Garasto, Chris D. Cantwell, Anil A. Bharath:
Approximating the Solution of Surface Wave Propagation Using Deep Neural Networks. INNSBDDL 2019: 246-256 - [c40]Shafa Balaram, Kai Arulkumaran, Tianhong Dai, Anil Anthony Bharath:
A Maximum Entropy Deep Reinforcement Learning Neural Tracker. MLMI@MICCAI 2019: 400-408 - [c39]Cher Bass, Tianhong Dai, Benjamin Billot, Kai Arulkumaran, Antonia Creswell, Claudia Clopath, Vincenzo De Paola, Anil Anthony Bharath:
Image Synthesis with a Convolutional Capsule Generative Adversarial Network. MIDL 2019: 39-62 - [c38]Tianhong Dai, Magda Dubois, Kai Arulkumaran, Jonathan Campbell, Cher Bass, Benjamin Billot, Fatmatülzehra Uslu, Vincenzo De Paola, Claudia Clopath, Anil Anthony Bharath:
Deep Reinforcement Learning for Subpixel Neural Tracking. MIDL 2019: 130-150 - [c37]Stef Garasto, Wilten Nicola, Anil A. Bharath, Simon R. Schultz:
Neural Sampling Strategies for Visual Stimulus Reconstruction from Two-photon Imaging of Mouse Primary Visual Cortex. NER 2019: 566-570 - [i21]Andrea Agostinelli, Kai Arulkumaran, Marta Sarrico, Pierre Richemond, Anil Anthony Bharath:
Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means. CoRR abs/1911.09560 (2019) - [i20]Marta Sarrico, Kai Arulkumaran, Andrea Agostinelli, Pierre Richemond, Anil Anthony Bharath:
Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control. CoRR abs/1911.09615 (2019) - [i19]Tianhong Dai, Kai Arulkumaran, Samyakh Tukra, Feryal M. P. Behbahani, Anil Anthony Bharath:
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation. CoRR abs/1912.08324 (2019) - 2018
- [j19]Antonia Creswell, Alison Pouplin, Anil A. Bharath:
Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data. IET Comput. Vis. 12(8): 1105-1111 (2018) - [j18]Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath:
Generative Adversarial Networks: An Overview. IEEE Signal Process. Mag. 35(1): 53-65 (2018) - [c36]Fatmatülzehra Uslu, Anil Anthony Bharath:
A Multi-task Network to Detect Junctions in Retinal Vasculature. MICCAI (2) 2018: 92-100 - [i18]Antonia Creswell, Alison Pouplin, Anil A. Bharath:
Denoising Adversarial Autoencoders: Classifying Skin Lesions Using Limited Labelled Training Data. CoRR abs/1801.00693 (2018) - [i17]Antonia Creswell, Anil A. Bharath:
Inverting The Generator Of A Generative Adversarial Network (II). CoRR abs/1802.05701 (2018) - [i16]Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis, Stef Garasto, Charles Houston, Rasheda A. Chowdhury, Fu Siong Ng, Anil A. Bharath, Nicholas S. Peters:
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling. CoRR abs/1810.04227 (2018) - [i15]Wilhelm E. Sorteberg, Stef Garasto, Alison S. Pouplin, Chris D. Cantwell, Anil A. Bharath:
Approximating the solution to wave propagation using deep neural networks. CoRR abs/1812.01609 (2018) - 2017
- [j17]Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil Anthony Bharath:
Deep Reinforcement Learning: A Brief Survey. IEEE Signal Process. Mag. 34(6): 26-38 (2017) - [i14]Antonia Creswell, Anil Anthony Bharath:
Denoising Adversarial Autoencoders. CoRR abs/1703.01220 (2017) - [i13]Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil Anthony Bharath:
A Brief Survey of Deep Reinforcement Learning. CoRR abs/1708.05866 (2017) - [i12]Antonia Creswell, Kai Arulkumaran, Anil A. Bharath:
On denoising autoencoders trained to minimise binary cross-entropy. CoRR abs/1708.08487 (2017) - [i11]Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath:
Generative Adversarial Networks: An Overview. CoRR abs/1710.07035 (2017) - [i10]Antonia Creswell, Anil A. Bharath, Biswa Sengupta:
LatentPoison - Adversarial Attacks On The Latent Space. CoRR abs/1711.02879 (2017) - [i9]Antonia Creswell, Anil A. Bharath, Biswa Sengupta:
Conditional Autoencoders with Adversarial Information Factorization. CoRR abs/1711.05175 (2017) - [i8]Fatmatülzehra Uslu, Anil Anthony Bharath:
A Recursive Bayesian Approach To Describe Retinal Vasculature Geometry. CoRR abs/1711.10521 (2017) - 2016
- [j16]Jose Rivera-Rubio, Kai Arulkumaran, Hemang Rishi, Ioannis Alexiou, Anil A. Bharath:
An assistive haptic interface for appearance-based indoor navigation. Comput. Vis. Image Underst. 149: 126-145 (2016) - [j15]Zhao-Bin Ma, Yang Yang, Yun-Xia Liu, Anil Anthony Bharath:
Recurrently Decomposable 2-D Convolvers for FPGA-Based Digital Image Processing. IEEE Trans. Circuits Syst. II Express Briefs 63-II(10): 979-983 (2016) - [c35]Christoforos C. Charalambous, Anil A. Bharath:
A data augmentation methodology for training machine/deep learning gait recognition algorithms. BMVC 2016 - [c34]Antonia Creswell, Anil Anthony Bharath:
Adversarial Training for Sketch Retrieval. ECCV Workshops (1) 2016: 798-809 - [i7]Kai Arulkumaran, Nat Dilokthanakul, Murray Shanahan, Anil Anthony Bharath:
Classifying Options for Deep Reinforcement Learning. CoRR abs/1604.08153 (2016) - [i6]Antonia Creswell, Anil Anthony Bharath:
Adversarial Training For Sketch Retrieval. CoRR abs/1607.02748 (2016) - [i5]Antonia Creswell, Anil A. Bharath:
Task Specific Adversarial Cost Function. CoRR abs/1609.08661 (2016) - [i4]Christoforos C. Charalambous, Anil A. Bharath:
A data augmentation methodology for training machine/deep learning gait recognition algorithms. CoRR abs/1610.07570 (2016) - [i3]Kai Arulkumaran, Antonia Creswell, Anil Anthony Bharath:
Improving Sampling from Generative Autoencoders with Markov Chains. CoRR abs/1610.09296 (2016) - [i2]Antonia Creswell, Anil Anthony Bharath:
Inverting The Generator Of A Generative Adversarial Network. CoRR abs/1611.05644 (2016) - 2015
- [j14]Jose Rivera-Rubio, Ioannis Alexiou, Anil A. Bharath:
Appearance-based indoor localization: A comparison of patch descriptor performance. Pattern Recognit. Lett. 66: 109-117 (2015) - [c33]Jose Rivera-Rubio, Ioannis Alexiou, Anil A. Bharath:
Indoor Localisation with Regression Networks and Place Cell Models. BMVC 2015: 147.1-147.12 - [c32]Christoforos C. Charalambous, Anil A. Bharath:
Viewing angle effect on gait recognition using joint kinematics. ICDP 2015: 1-6 - [i1]Jose Rivera-Rubio, Ioannis Alexiou, Anil A. Bharath:
Appearance-based indoor localization: A comparison of patch descriptor performance. CoRR abs/1503.03514 (2015) - 2014
- [c31]Anja Belz, Anil A. Bharath:
The Last 10 Metres: Using Visual Analysis and Verbal Communication in Guiding Visually Impaired Smartphone Users to Entrances. VL@COLING 2014: 118-120 - [c30]Jose Rivera-Rubio, Ioannis Alexiou, Luke Dickens, Riccardo Secoli, Emil C. Lupu, Anil Anthony Bharath:
Associating locations from wearable cameras. BMVC 2014 - [c29]Jose Rivera-Rubio, Ioannis Alexiou, Anil A. Bharath:
Associating Locations Between Indoor Journeys from Wearable Cameras. ECCV Workshops (4) 2014: 29-44 - [c28]Ioannis Alexiou, Anil A. Bharath:
Spatio-chromatic Opponent Features. ECCV (5) 2014: 81-95 - [c27]Jose Rivera-Rubio, Saad Idrees, Ioannis Alexiou, Lucas Hadjilucas, Anil A. Bharath:
A dataset for Hand-Held Object Recognition. ICIP 2014: 5881-5885 - [c26]Jose Rivera-Rubio, Saad Idrees, Ioannis Alexiou, Lucas Hadjilucas, Anil A. Bharath:
Small Hand-held Object Recognition Test (SHORT). WACV 2014: 524-531 - 2013
- [c25]Jose Rivera-Rubio, Saad Idrees, Ioannis Alexiou, Lucas Hadjilucas, Anil A. Bharath:
Mobile Visual Assistive Apps: Benchmarks of Vision Algorithm Performance. ICIAP Workshops 2013: 30-40 - 2012
- [c24]Ioannis Alexiou, Anil A. Bharath:
Efficient Kernels Couple Visual Words Through Categorical Opponency. BMVC 2012: 1-11 - [c23]Shuoying Cao, Anil A. Bharath, Kim H. Parker, Jeffrey Ng:
Patch-based automatic retinal vessel segmentation in global and local structural context. EMBC 2012: 4942-4945 - [c22]Shuoying Cao, Saadia Iftikhar, Anil Anthony Bharath:
Patch-based feature maps for pixel-level image segmentation. EUSIPCO 2012: 2263-2267 - 2011
- [j13]Saadia Iftikhar, Andrew R. Bond, Asim I. Wagan, Peter D. Weinberg, Anil Anthony Bharath:
Segmentation of Endothelial Cell Boundaries of Rabbit Aortic Images Using a Machine Learning Approach. Int. J. Biomed. Imaging 2011: 270247:1-270247:11 (2011) - [j12]Henry M. D. Ip, Emmanuel M. Drakakis, Anil A. Bharath:
Preliminary results from an analog implementation of first-order TDCNN dynamics. Int. J. Circuit Theory Appl. 39(6): 665-678 (2011) - [c21]Shuoying Cao, Anil A. Bharath, Kim H. Parker, Jeffrey Ng, John Arnold, Alison H. McGregor, Adam Hill:
Joint spatio-temporal registration and microvasculature segmentation of retinal angiogram sequences. EMBC 2011: 2618-2621 - [c20]Shuoying Cao, Anil A. Bharath, Kim H. Parker, Jeffrey Ng, John Arnold, Alison H. McGregor, Adam Hill:
Spatio-Temporal Registration and Microvasculature Segmentation of Retinal Angiogram Sequences. MIUA 2011: 293-298 - 2010
- [c19]Andreas Varnavas, Vasileios Argyriou, Jeffrey Ng, Anil A. Bharath:
Dense photometric stereo reconstruction on many core GPUs. CVPR Workshops 2010: 59-65
2000 – 2009
- 2009
- [j11]Henry M. D. Ip, Emmanuel M. Drakakis, Anil A. Bharath:
A 19 nW analogue CMOS log-domain 6th-order Bessel filter without E-minus cells. Microelectron. J. 40(8): 1170-1174 (2009) - [c18]Zeynep Engin, Jeffrey Ng, Mauricio Barahona, Anil A. Bharath:
An analysis of the Map Seeking Circuit and Monte Carlo extensions. ICASSP 2009: 2929-2932 - [c17]Enrica Dente, Anil A. Bharath, Jeffrey Ng:
A jump-diffusion particle filter for tracking grouped and fragmented objects. DPS 2009: 1-6 - [c16]Saadia Iftikhar, Anil Anthony Bharath:
Cell boundary analysis using radial search for dual staining techniques. Image Processing 2009: 72593M - 2008
- [b2]Anil A. Bharath, Maria Petrou:
Next Generation Artificial Vision Systems - Reverse Engineering the Human Visual System. Artech House Series Bioinformatics and Biomedical Imaging, Artech House 2008, ISBN 978-1-59693-224-1, pp. I-XIV, 1-438 - [b1]Anil Anthony Bharath:
Introductory Medical Imaging. Synthesis Lectures on Biomedical Engineering, Morgan & Claypool Publishers 2008, ISBN 978-3-031-00503-9 - [j10]Henry M. D. Ip, Emmanuel M. Drakakis, Anil Anthony Bharath:
On Analog Networks and Mixed-Domain Spatio-Temporal Frequency Response. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(1): 284-297 (2008) - [j9]Henry M. D. Ip, Emmanuel M. Drakakis, Anil Anthony Bharath:
Synthesis of Nonseparable 3-D Spatiotemporal Bandpass Filters on Analog Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(1): 298-310 (2008) - [c15]Henry M. D. Ip, Emmanuel M. Drakakis, Anil A. Bharath:
A nonseparable 3D spatiotemporal bandpass filter with analog networks. ISCAS 2008: 1376-1379 - 2007
- [j8]Jeffrey Ng, Anil Anthony Bharath, Zhaoping Li:
A Survey of Architecture and Function of the Primary Visual Cortex (V1). EURASIP J. Adv. Signal Process. 2007 (2007) - [j7]Jeffrey Ng, Anil A. Bharath, Patrick Chow Pak Kin:
Extrapolative Spatial Models for Detecting Perceptual Boundaries in Colour Images. Int. J. Comput. Vis. 73(2): 179-194 (2007) - [j6]M. Elena Martínez-Pérez, Alun D. Hughes, Simon A. Thom, Anil A. Bharath, Kim H. Parker:
Segmentation of blood vessels from red-free and fluorescein retinal images. Medical Image Anal. 11(1): 47-61 (2007) - [c14]Anil Anthony Bharath, Nick G. Kingsbury:
Phase Invariant Keypoint Detection. DSP 2007: 447-450 - [c13]Zeynep Engin, Melvin Lim, Anil Anthony Bharath:
Gradient Field Correlation for Keypoint Correspondence. ICIP (2) 2007: 481-484 - 2006
- [j5]Enrica Dente, Anil A. Bharath, Jeffrey Ng, Aldert Vrij, Samantha Mann, Anthony Bull:
Tracking hand and finger movements for behaviour analysis. Pattern Recognit. Lett. 27(15): 1797-1808 (2006) - [c12]Jeffrey Ng, Anil A. Bharath:
Sharpening Orientation Selectivity for Efficient Image Filtering. ICASSP (2) 2006: 629-632 - 2005
- [j4]Anil A. Bharath, Jeffrey Ng:
A steerable complex wavelet construction and its application to image denoising. IEEE Trans. Image Process. 14(7): 948-959 (2005) - [c11]Anil Anthony Bharath, Jeffrey Ng Sing Kwong:
A probabilistic approach to boundary handling. EUSIPCO 2005: 1-4 - [c10]Jeffrey Ng, Anil A. Bharath:
Multiscale orientation estimation of perceptual boundaries. ICASSP (2) 2005: 785-788 - [c9]Henry M. D. Ip, Emmanuel M. Drakakis, Anil A. Bharath:
Analog networks for mixed domain spatiotemporal filtering. ISCAS (4) 2005: 3918-3921 - 2004
- [c8]Jeffrey Ng, Anil A. Bharath:
Steering in Scale Space to Optimally Detect Image Structures. ECCV (1) 2004: 482-494 - [c7]Christos-Savvas Bouganis, Peter Y. K. Cheung, Jeffrey Ng, Anil A. Bharath:
A Steerable Complex Wavelet Construction and Its Implementation on FPGA. FPL 2004: 394-403 - 2002
- [j3]M. Elena Martínez-Pérez, Alun D. Hughes, Alice V. Stanton, Simon A. Thom, Neil Chapman, Anil Anthony Bharath, Kim H. Parker:
Retinal vascular tree morphology: a semi-automatic quantification. IEEE Trans. Biomed. Eng. 49(8): 912-917 (2002) - 2001
- [c6]Xiaohong W. Gao, Anil A. Bharath, Alice V. Stanton, Alun D. Hughes, Neil Chapman, Simon A. Thom:
A method of vessel tracking for vessel diameter measurement on retinal images. ICIP (2) 2001: 881-884 - 2000
- [j2]Xiaohong W. Gao, Anil A. Bharath, Alice V. Stanton, Alun D. Hughes, Neil Chapman, Simon A. Thom:
Quantification and characterisation of arteries in retinal images. Comput. Methods Programs Biomed. 63(2): 133-146 (2000) - [j1]Anil Anthony Bharath:
A tiling of phase-space through self-convolution. IEEE Trans. Signal Process. 48(12): 3581-3585 (2000) - [c5]Anil Anthony Bharath:
Shape from multi-rate filtering. ICASSP 2000: 125-128 - [c4]M. Elena Martínez-Pérez, Alun D. Hughes, Alice V. Stanton, Simon A. Thom, Neil Chapman, Anil A. Bharath, Kim H. Parker:
Geometrical and Morphological Analysis of Vascular Branches from Fundus Retinal Images. MICCAI 2000: 756-765
1990 – 1999
- 1999
- [c3]M. Elena Martínez-Pérez, Alun D. Hughes, Alice V. Stanton, Simon A. Thom, Anil A. Bharath, Kim H. Parker:
Segmentation of Retinal Blood Vessels Based on the Second Directional Derivative and Region Growing. ICIP (2) 1999: 173-176 - [c2]M. Elena Martínez-Pérez, Alun D. Hughes, Alice V. Stanton, Simon A. Thom, Anil A. Bharath, Kim H. Parker:
Retinal Blood Vessel Segmentation by Means of Scale-Space Analysis and Region Growing. MICCAI 1999: 90-97 - 1998
- [c1]Anil A. Bharath:
Steerable Filters from Erlang Functions. BMVC 1998: 1-10
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-22 00:43 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
