| Retinal image quality classification using saliency maps and CNNs D Mahapatra, PK Roy, S Sedai, R Garnavi International Workshop on Machine Learning in Medical Imaging, 172-179, 2016 | 154* | 2016 |
| Segmentation of optic disc and optic cup in retinal fundus images using shape regression S Sedai, PK Roy, D Mahapatra, R Garnavi 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 64 | 2016 |
| Retinal image quality assessment, error identification and automatic quality correction R Garnavi, D Mahapatra, PK Roy, S Sedai US Patent 9,779,492, 2017 | 54 | 2017 |
| Image quality classification for DR screening using convolutional neural networks R Tennakoon, D Mahapatra, P Roy, S Sedai, R Garnavi Proceedings of the ophthalmic medical image analysis international workshop …, 2016 | 47 | 2016 |
| Skin lesion segmentation using deep convolution networks guided by local unsupervised learning SB Bozorgtabar, R Garnavi, P Roy, S Sedai US Patent 10,223,788, 2019 | 39 | 2019 |
| A CNN based neurobiology inspired approach for retinal image quality assessment D Mahapatra, PK Roy, S Sedai, R Garnavi 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 35 | 2016 |
| Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random Field PK Roy, A Bhuiyan, A Janke, PM Desmond, TY Wong, WP Abhayaratna, ... Computerized Medical Imaging and Graphics 45, 102-111, 2015 | 29 | 2015 |
| Segmentation of optic disc and optic cup in retinal fundus images using coupled shape regression S Sedai, P Roy, D Mahapatra, R Garnavi Proceedings of the Ophthalmic Medical Image Analysis International Workshop …, 2016 | 19 | 2016 |
| Automatically detecting eye type in retinal fundus images R Chakravorty, R Garnavi, P Roy US Patent 10,405,739, 2019 | 18 | 2019 |
| An effective automated system for grading severity of retinal arteriovenous nicking in colour retinal images PK Roy, UTV Nguyen, A Bhuiyan, K Ramamohanarao 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 15 | 2014 |
| Early prediction of age related macular degeneration by image reconstruction R Chakravorty, R Garnavi, D Mahapatra, P Roy, S Sedai US Patent 9,943,225, 2018 | 12 | 2018 |
| Joint segmentation and characteristics estimation in medical images D Mahapatra, R Garnavi, S Sedai, P Roy US Patent App 15 (234,426), 2017, 2017 | 12 | 2017 |
| Retinal image quality assessment, error identification and automatic quality correction D Mahapatra, R Garnavi, S Sedai, P Roy US Patent 9, 2017, 2017 | 12 | 2017 |
| Right ventricle landmark detection using multiscale HOG and random forest classifier S Sedai, PK Roy, R Garnavi 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 814-818, 2015 | 12 | 2015 |
| AUTOMATED SEGMENTATION OF MULTIPLE SCLEROSIS LESION IN INTENSITY ENHANCED FLAIR MRI USING TEXTURE FEATURES AND SUPPORT VECTOR MACHINE PK Roy, A Bhuiyan, K Ramamohanarao Image Processing (ICIP), 2013 20th IEEE International Conference on, 4277-4281, 2013 | 12 | 2013 |
| System and method to teach and evaluate image grading performance using prior learned expert knowledge base R Garnavi, D Mahapatra, PK Roy, RB Tennakoon US Patent 10,657,838, 2020 | 11 | 2020 |
| System and method to teach and evaluate image grading performance using prior learned expert knowledge base D Mahapatra, R Garnavi, P Roy, R Tennakoon US Patent App 15 (459,457), 2018 | 11 | 2018 |
| Segmentation of right ventricle in cardiac MR images using shape regression S Sedai, P Roy, R Garnavi International Workshop on Machine Learning in Medical Imaging, 1-8, 2015 | 9 | 2015 |
| System and method to teach and evaluate image grading performance using prior learned expert knowledge base P Roy, D Mahapatra, R Garnavi, R Tennakoon US Patent App 10, 2, 2021 | 7 | 2021 |
| Automated segmentation of white matter lesions using global neighbourhood given contrast feature-based random forest and Markov random field PK Roy, A Bhuiyan, A Janke, PM Desmond, TY Wong, E Storey, ... 2014 IEEE International Conference on healthcare informatics, 1-6, 2014 | 7 | 2014 |
