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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
- 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)- 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. Medical Imaging: 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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last updated on 2024-09-22 00:35 CEST by the dblp team
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