| Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ... Medical image analysis 59, 101570, 2020 | 359 | 2020 |
| Joint optic disc and cup segmentation using fully convolutional and adversarial networks SM Shankaranarayana, K Ram, K Mitra, M Sivaprakasam Fetal, Infant and Ophthalmic Medical Image Analysis: International Workshop …, 2017 | 112 | 2017 |
| Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation B Murugesan, K Sarveswaran, SM Shankaranarayana, K Ram, J Joseph, ... 2019 41st Annual international conference of the IEEE engineering in …, 2019 | 96 | 2019 |
| ALIME: Autoencoder based approach for local interpretability SM Shankaranarayana, D Runje Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th …, 2019 | 72 | 2019 |
| Fully convolutional networks for monocular retinal depth estimation and optic disc-cup segmentation SM Shankaranarayana, K Ram, K Mitra, M Sivaprakasam IEEE journal of biomedical and health informatics 23 (4), 1417-1426, 2019 | 61 | 2019 |
| Ecgnet: Deep network for arrhythmia classification B Murugesan, V Ravichandran, K Ram, SP Preejith, J Joseph, ... 2018 IEEE International Symposium on Medical Measurements and Applications …, 2018 | 49 | 2018 |
| RespNet: A deep learning model for extraction of respiration from photoplethysmogram V Ravichandran, B Murugesan, V Balakarthikeyan, K Ram, SP Preejith, ... 2019 41st annual international conference of the IEEE engineering in …, 2019 | 47 | 2019 |
| Deep network for capacitive ECG denoising V Ravichandran, B Murugesan, SM Shankaranarayana, K Ram, ... 2019 IEEE International Symposium on Medical Measurements and Applications …, 2019 | 13 | 2019 |
| Effects of refractive index mismatch in optical CT imaging of polymer gel dosimeters R Manjappa, S Makki S, R Kumar, R Kanhirodan Medical physics 42 (2), 750-759, 2015 | 12 | 2015 |
| ADAM challenge: detecting age-related macular degeneration from fundus images H Fang, F Li, H Fu, X Sun, X Cao, F Lin, J Son, S Kim, G Quellec, S Matta, ... IEEE Transactions on Medical Imaging 41 (10), 2828-2847, 2022 | 11 | 2022 |
| A context based deep learning approach for unbalanced medical image segmentation B Murugesan, K Sarveswaran, SM Shankaranarayana, K Ram, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1949-1953, 2020 | 8 | 2020 |
| Conv-MCD: A plug-and-play multi-task module for medical image segmentation B Murugesan, K Sarveswaran, SM Shankaranarayana, K Ram, J Joseph, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 5 | 2019 |
| Restoration of neonatal retinal images SM Shankaranarayana, K Ram, A Vinekar, K Mitra, M Sivaprakasam Restoration, 2016 | 5 | 2016 |
| Attention augmented convolutional transformer for tabular time-series SM Shankaranarayana, D Runje 2021 International Conference on Data Mining Workshops (ICDMW), 537-541, 2021 | 4 | 2021 |
| Constrained Monotonic Neural Networks D Runje, SM Shankaranarayana arXiv preprint arXiv:2205.11775, 2022 | 3 | 2022 |
| Hybrid analysis framework for prediction of outcomes in clinical trials R Krishnan, J Domenech, R Jagannathan, SM Shankaranarayana US Patent 11,101,043, 2021 | 3 | 2021 |
| Automated heuristic deep learning-based modelling R Krishnan, J Domenech, R Jagannathan, SM Shankaranarayana US Patent App. 16/590,249, 2020 | 3 | 2020 |
| Artificial intelligence enabled assessment of damage to automobiles R Krishnan, J Domenech US Patent App. 16/587,934, 2020 | 3 | 2020 |
| Fully 3D refraction correction dosimetry system R Manjappa, SS Makki, R Kumar, RM Vasu, R Kanhirodan Physics in Medicine & Biology 61 (4), 1722, 2016 | 3 | 2016 |
| Joint shape learning and segmentation for medical images using a minimalistic deep network B Murugesan, K Sarveswaran, SM Shankaranarayana, K Ram, ... arXiv preprint arXiv:1901.08824, 2019 | 2 | 2019 |
Dr. Mohanasankar SivaprakasamProfessor of Electrical Engineering, IIT Madras在 ee.iitm.ac.in 的电子邮件经过验证
