Anil A. Bharath
Orcid: 0000-0001-8808-2714Affiliations:
- Imperial College London, Data Sciences Institute
According to our database1,
Anil A. Bharath
authored at least 107 papers
between 1998 and 2024.
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Online presence:
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on orcid.org
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Bibliography
2024
PINNing Cerebral Blood Flow: Analysis of Perfusion MRI in Infants using Physics-Informed Neural Networks.
CoRR, 2024
Estimation of fibre architecture and scar in myocardial tissue using electrograms: An in-silico study.
Biomed. Signal Process. Control., 2024
2023
High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D CINE MRI and Unsupervised Neural Networks.
CoRR, 2023
High-resolution 3D Maps of Left Atrial Displacements using an Unsupervised Image Registration Neural Network.
CoRR, 2023
TMS-Net: A segmentation network coupled with a run-time quality control method for robust cardiac image segmentation.
Comput. Biol. Medicine, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
2022
IEEE Trans. Medical Imaging, 2022
Neurocomputing, 2022
Neurocomputing, 2022
Estimating Cardiac Tissue Conductivity from Electrograms with Fully Convolutional Networks.
CoRR, 2022
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks.
CoRR, 2022
Proceedings of the Topological, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Efficient Source Camera Identification with Diversity-Enhanced Patch Selection and Deep Residual Prediction.
Sensors, 2021
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
2020
PERI-Net: a parameter efficient residual inception network for medical image segmentation.
Turkish J. Electr. Eng. Comput. Sci., 2020
Comparing recurrent and convolutional neural networks for predicting wave propagation.
CoRR, 2020
Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice Numbers.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
Pattern Recognit., 2019
CoRR, 2019
Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control.
CoRR, 2019
Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means.
CoRR, 2019
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling.
Comput. Biol. Medicine, 2019
IEEE Access, 2019
Neural Sampling Strategies for Visual Stimulus Reconstruction from Two-photon Imaging of Mouse Primary Visual Cortex.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
2018
Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data.
IET Comput. Vis., 2018
CoRR, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
2016
IEEE Trans. Circuits Syst. II Express Briefs, 2016
Comput. Vis. Image Underst., 2016
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016
A data augmentation methodology for training machine/deep learning gait recognition algorithms.
Proceedings of the British Machine Vision Conference 2016, 2016
2015
Pattern Recognit. Lett., 2015
Proceedings of the 6th International Conference on Imaging for Crime Detection and Prevention, 2015
Proceedings of the British Machine Vision Conference 2015, 2015
2014
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014
Proceedings of the Computer Vision - ECCV 2014, 2014
Proceedings of the British Machine Vision Conference, 2014
The Last 10 Metres: Using Visual Analysis and Verbal Communication in Guiding Visually Impaired Smartphone Users to Entrances.
Proceedings of the Third Workshop on Vision and Language, 2014
2013
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013
2012
Proceedings of the 20th European Signal Processing Conference, 2012
Patch-based automatic retinal vessel segmentation in global and local structural context.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the British Machine Vision Conference, 2012
2011
Int. J. Circuit Theory Appl., 2011
Segmentation of Endothelial Cell Boundaries of Rabbit Aortic Images Using a Machine Learning Approach.
Int. J. Biomed. Imaging, 2011
Spatio-Temporal Registration and Microvasculature Segmentation of Retinal Angiogram Sequences.
Proceedings of the Medical Image Understanding and Analysis, 2011
Joint spatio-temporal registration and microvasculature segmentation of retinal angiogram sequences.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Microelectron. J., 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Synthesis Lectures on Biomedical Engineering, Morgan & Claypool Publishers, ISBN: 978-3-031-01631-8, 2008
IEEE Trans. Circuits Syst. I Regul. Pap., 2008
IEEE Trans. Circuits Syst. I Regul. Pap., 2008
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008
Next Generation Artificial Vision Systems - Reverse Engineering the Human Visual System.
Artech House Series Bioinformatics and Biomedical Imaging, Artech House, ISBN: 978-1-59693-224-1, 2008
2007
Medical Image Anal., 2007
Int. J. Comput. Vis., 2007
EURASIP J. Adv. Signal Process., 2007
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the 15th International Conference on Digital Signal Processing, 2007
2006
Pattern Recognit. Lett., 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
IEEE Trans. Image Process., 2005
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
2004
Proceedings of the Field Programmable Logic and Application, 2004
Proceedings of the Computer Vision, 2004
2002
IEEE Trans. Biomed. Eng., 2002
2001
Proceedings of the 2001 International Conference on Image Processing, 2001
2000
Comput. Methods Programs Biomed., 2000
Geometrical and Morphological Analysis of Vascular Branches from Fundus Retinal Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
1999
Retinal Blood Vessel Segmentation by Means of Scale-Space Analysis and Region Growing.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999
Segmentation of Retinal Blood Vessels Based on the Second Directional Derivative and Region Growing.
Proceedings of the 1999 International Conference on Image Processing, 1999
1998
Proceedings of the British Machine Vision Conference 1998, 1998