Optic disk and cup segmentation from monocular color retinal images for glaucoma assessment GD Joshi, J Sivaswamy, SR Krishnadas IEEE transactions on medical imaging 30 (6), 1192-1205, 2011 | 557 | 2011 |
Drishti-gs: Retinal image dataset for optic nerve head (onh) segmentation J Sivaswamy, SR Krishnadas, GD Joshi, M Jain, AUS Tabish 2014 IEEE 11th international symposium on biomedical imaging (ISBI), 53-56, 2014 | 554 | 2014 |
A comprehensive retinal image dataset for the assessment of glaucoma from the optic nerve head analysis J Sivaswamy, S Krishnadas, A Chakravarty, G Joshi, AS Tabish JSM Biomedical Imaging Data Papers 2 (1), 1004, 2015 | 320 | 2015 |
Hexagonal image processing: A practical approach L Middleton, J Sivaswamy Springer Science & Business Media, 2005 | 309 | 2005 |
RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ... IEEE transactions on medical imaging 38 (8), 1858-1874, 2019 | 202 | 2019 |
M-net: A convolutional neural network for deep brain structure segmentation R Mehta, J Sivaswamy 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 191 | 2017 |
Automatic assessment of macular edema from color retinal images KS Deepak, J Sivaswamy IEEE Transactions on medical imaging 31 (3), 766-776, 2011 | 186 | 2011 |
A successive clutter-rejection-based approach for early detection of diabetic retinopathy K Ram, GD Joshi, J Sivaswamy IEEE Transactions on Biomedical Engineering 58 (3), 664-673, 2010 | 170 | 2010 |
A method for automatic detection and classification of stroke from brain CT images M Chawla, S Sharma, J Sivaswamy, LT Kishore 2009 Annual international conference of the IEEE engineering in medicine and …, 2009 | 163 | 2009 |
Moving object detection by multi-view geometric techniques from a single camera mounted robot A Kundu, KM Krishna, J Sivaswamy 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009 | 146 | 2009 |
Optic disk and cup boundary detection using regional information GD Joshi, J Sivaswamy, K Karan, SR Krishnadas 2010 IEEE international symposium on biomedical imaging: from nano to macro …, 2010 | 130 | 2010 |
Edge detection in a hexagonal-image processing framework L Middleton, J Sivaswamy Image and Vision computing 19 (14), 1071-1081, 2001 | 126 | 2001 |
Colour retinal image enhancement based on domain knowledge GD Joshi, J Sivaswamy 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing …, 2008 | 108 | 2008 |
Script identification from Indian documents GD Joshi, S Garg, J Sivaswamy Document Analysis Systems VII: 7th International Workshop, DAS 2006, Nelson …, 2006 | 108 | 2006 |
Radial peripapillary capillary density measurement using optical coherence tomography angiography in early glaucoma T Mansoori, J Sivaswamy, JS Gamalapati, N Balakrishna Journal of glaucoma 26 (5), 438-443, 2017 | 92 | 2017 |
BrainSegNet: a convolutional neural network architecture for automated segmentation of human brain structures R Mehta, A Majumdar, J Sivaswamy Journal of Medical Imaging 4 (2), 024003-024003, 2017 | 87 | 2017 |
Unsupervised curvature-based retinal vessel segmentation S Garg, J Sivaswamy, S Chandra 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2007 | 87 | 2007 |
RACE-net: a recurrent neural network for biomedical image segmentation A Chakravarty, J Sivaswamy IEEE journal of biomedical and health informatics 23 (3), 1151-1162, 2018 | 81 | 2018 |
Depth discontinuity-based cup segmentation from multiview color retinal images GD Joshi, J Sivaswamy, SR Krishnadas IEEE Transactions on Biomedical Engineering 59 (6), 1523-1531, 2012 | 74 | 2012 |
Measurement of radial peripapillary capillary density in the normal human retina using optical coherence tomography angiography T Mansoori, J Sivaswamy, JS Gamalapati, SG Agraharam, N Balakrishna Journal of glaucoma 26 (3), 241-246, 2017 | 69 | 2017 |