Indian diabetic retinopathy image dataset (IDRiD): a database for diabetic retinopathy screening research VSFM Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish ... Data 3 (3), 25, 2018 | 749 | 2018 |
Indian Diabetic Retinopathy Image Dataset (IDRiD) P Porwal, S Pachade, R Kamble, M Kokare, G Deshmukh, ... IEEE Dataport: http://dx.doi.org/10.21227/H25W98, 2018 | 749* | 2018 |
Idrid: Diabetic retinopathy–segmentation and grading challenge P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ... Medical image analysis 59, 101561, 2020 | 259 | 2020 |
Retinal fundus multi-disease image dataset (RFMiD): a dataset for multi-disease detection research S Pachade, P Porwal, D Thulkar, M Kokare, G Deshmukh, ... Data 6 (2), 14, 2021 | 147 | 2021 |
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation S Pachade, P Porwal, M Kokare, L Giancardo, F Mériaudeau Medical Image Analysis 74, 102253, 2021 | 39 | 2021 |
Retinal fundus multi-disease image dataset (RFMID) S Pachade, P Porwal, D Thulkar, M Kokare, G Deshmukh, ... IEEE Dataport, 2020 | 18 | 2020 |
Retinal vasculature segmentation and measurement framework for color fundus and SLO images S Pachade, P Porwal, M Kokare, L Giancardo, F Meriaudeau Biocybernetics and Biomedical Engineering 40 (3), 865-900, 2020 | 18 | 2020 |
Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: a dataset of frequently and rarely identified diseases S Panchal, A Naik, M Kokare, S Pachade, R Naigaonkar, P Phadnis, ... Data 8 (2), 29, 2023 | 17 | 2023 |
Retinal image analysis for disease screening through local tetra patterns P Porwal, P Samiksha, K Manesh, G Luca, M Fabrice Computers in Biology and Medicine, 2018 | 11 | 2018 |
Detection of stroke with retinal microvascular density and self-supervised learning using OCT-A and fundus imaging S Pachade, I Coronado, R Abdelkhaleq, J Yan, S Salazar-Marioni, ... Journal of Clinical Medicine 11 (24), 7408, 2022 | 9 | 2022 |
Automatic segmentation of optic disc by gradient minimization based approach P Porwal, S Pachade, A Kadethankar, A Joshi, V Patwardhan, R Kamble, ... 2018 International conference on intelligent and advanced system (ICIAS), 1-5, 2018 | 9 | 2018 |
Automatic retinal image analysis for the detection of diabetic retinopathy P Porwal, S Pachade, M Kokare, G Deshmukh, V Sahasrabuddhe Biomedical signal and image processing in patient care, 146-161, 2018 | 8 | 2018 |
Retinal fundus multi-disease image dataset (RFMiD): A dataset for multi-disease detection research. Data 6, 14 S Pachade, P Porwal, D Thulkar, M Kokare, G Deshmukh, ... | 7 | 2021 |
Towards stroke biomarkers on fundus retinal imaging: a comparison between vasculature embeddings and general purpose convolutional neural networks I Coronado, R Abdelkhaleq, J Yan, SS Marioni, A Jagolino-Cole, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 6 | 2021 |
A novel method to detect fovea from color fundus images S Pachade, P Porwal, M Kokare Computing, Communication and Signal Processing: Proceedings of ICCASP 2018 …, 2019 | 6 | 2019 |
Indian Diabetic Retinopathy Image Dataset (IDRiD): a database for diabetic retinopathy screening research. Data 3 (3), 25 (2018) P Porwal, S Pachade, R Kamble, M Kokare, G Deshmukh, ... | 5 | |
Diabetic retinopathy segmentation and grading challenge P Porwal, P Samiksha, R Kamble, M Kokare, G Deshmukh, ... IEEE ISBI Challenge, 2018 | 4 | 2018 |
A novel unsupervised framework for retinal vasculature segmentation S Pachade, P Porwal, M Kokare Advanced Computational and Communication Paradigms: Proceedings of …, 2018 | 4 | 2018 |
Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images S Pachade, S Datta, Y Dong, S Salazar-Marioni, R Abdelkhaleq, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 3 | 2023 |
Laser scar classification in retinal fundus images using wavelet transform and local variance R Raut, V Sapate, A Rokde, S Pachade, P Porwal, M Kokare Computer Vision and Machine Intelligence in Medical Image Analysis …, 2020 | 3 | 2020 |