Anil  Anthony Bharath
Anil Anthony Bharath
Dept of Bioengineering, Imperial College
Verified email at - Homepage
Cited by
Cited by
Generative adversarial networks: An overview
A Creswell, T White, V Dumoulin, K Arulkumaran, B Sengupta, ...
IEEE signal processing magazine 35 (1), 53-65, 2018
Deep reinforcement learning: A brief survey
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
IEEE Signal Processing Magazine 34 (6), 26-38, 2017
A brief survey of deep reinforcement learning
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
arXiv preprint arXiv:1708.05866, 2017
Segmentation of blood vessels from red-free and fluorescein retinal images
ME Martinez-Perez, AD Hughes, SA Thom, AA Bharath, KH Parker
Medical image analysis 11 (1), 47-61, 2007
Inverting the generator of a generative adversarial network
A Creswell, AA Bharath
IEEE transactions on neural networks and learning systems 30 (7), 1967-1974, 2018
Retinal vascular tree morphology: a semi-automatic quantification
ME Martinez-Perez, AD Highes, AV Stanton, SA Thorn, N Chapman, ...
IEEE Transactions on Biomedical Engineering 49 (8), 912-917, 2002
Carotid artery wall motion estimated from B-mode ultrasound using region tracking and block matching
S Golemati, A Sassano, MJ Lever, AA Bharath, S Dhanjil, AN Nicolaides
Ultrasound in medicine & biology 29 (3), 387-399, 2003
Retinal blood vessel segmentation by means of scale-space analysis and region growing
ME Martínez-Pérez, AD Hughes, AV Stanton, SA Thom, AA Bharath, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI’99: Second …, 1999
Computer algorithms for the automated measurement of retinal arteriolar diameters
N Chapman, N Witt, X Gao, AA Bharath, AV Stanton, SA Thom, ...
British Journal of Ophthalmology 85 (1), 74-79, 2001
Denoising adversarial autoencoders
A Creswell, AA Bharath
IEEE transactions on neural networks and learning systems 30 (4), 968-984, 2018
Robust cell nuclei segmentation using statistical modelling
T Mouroutis, SJ Roberts, AA Bharath
Bioimaging 6 (2), 79-91, 1998
A method of vessel tracking for vessel diameter measurement on retinal images
X Gao, A Bharath, A Stanton, A Hughes, N Chapman, S Thom
Proceedings 2001 International Conference on Image Processing (Cat. No …, 2001
A steerable complex wavelet construction and its application to image denoising
AA Bharath, J Ng
IEEE Transactions on Image Processing 14 (7), 948-959, 2005
Scale-space analysis for the characterisation of retinal blood vessels
M Martínez-Pérez
Medical image computing and computer-assisted intervention-MICCAI'99, 90-97, 1999
On denoising autoencoders trained to minimise binary cross-entropy
A Creswell, K Arulkumaran, AA Bharath
arXiv preprint arXiv:1708.08487, 2017
Quantification and characterisation of arteries in retinal images
XW Gao, A Bharath, A Stanton, A Hughes, N Chapman, S Thom
Computer methods and programs in biomedicine 63 (2), 133-146, 2000
Adversarial training for sketch retrieval
A Creswell, AA Bharath
European Conference on Computer Vision, 798-809, 2016
Segmentation of retinal blood vessels based on the second directional derivative and region growing
ME Martinez-Perez, AD Hughes, AV Stanton, SA Thom, AA Bharath, ...
Proceedings 1999 International Conference on Image Processing (Cat …, 1999
A data augmentation methodology for training machine/deep learning gait recognition algorithms
CC Charalambous, AA Bharath
arXiv preprint arXiv:1610.07570, 2016
Correlative light‐electron microscopy shows RGD‐targeted ZnO nanoparticles dissolve in the intracellular environment of triple negative breast cancer cells and cause apoptosis …
BA Othman, C Greenwood, AF Abuelela, AA Bharath, S Chen, ...
Advanced Healthcare Materials 5 (11), 1310-1325, 2016
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