| Explainable deep learning models in medical image analysis A Singh, S Sengupta, V Lakshminarayanan Journal of Imaging 6 (6), 52, 2020 | 518 | 2020 |
| Ophthalmic diagnosis using deep learning with fundus images–A critical review S Sengupta, A Singh, HA Leopold, T Gulati, V Lakshminarayanan Artificial intelligence in medicine 102, 101758, 2020 | 197* | 2020 |
| Real-time Yoga recognition using deep learning SK Yadav, A Singh, A Gupta, JL Raheja Neural computing and applications 31, 9349-9361, 2019 | 172 | 2019 |
| Interpretation of deep learning using attributions: application to ophthalmic diagnosis A Singh, AR Mohammed, J Zelek, V Lakshminarayanan Applications of machine learning 2020 11511, 39-49, 2020 | 34 | 2020 |
| Evaluation of explainable deep learning methods for ophthalmic diagnosis A Singh, J Jothi Balaji, MA Rasheed, V Jayakumar, R Raman, ... Clinical Ophthalmology, 2573-2581, 2021 | 29* | 2021 |
| Glaucoma diagnosis using transfer learning methods A Singh, S Sengupta, V Lakshminarayanan Applications of machine learning 11139, 223-232, 2019 | 29 | 2019 |
| What is the optimal attribution method for explainable ophthalmic disease classification? A Singh, S Sengupta, AR Mohammed, I Faruq, V Jayakumar, J Zelek, ... Ophthalmic Medical Image Analysis: 7th International Workshop, OMIA 2020 …, 2020 | 23 | 2020 |
| Uncertainty aware and explainable diagnosis of retinal disease A Singh, S Sengupta, MA Rasheed, V Jayakumar, V Lakshminarayanan Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and …, 2021 | 18 | 2021 |
| DeSupGAN: multi-scale feature averaging generative adversarial network for simultaneous de-blurring and super-resolution of retinal fundus images S Sengupta, A Wong, A Singh, J Zelek, V Lakshminarayanan Ophthalmic Medical Image Analysis: 7th International Workshop, OMIA 2020 …, 2020 | 15 | 2020 |
| Cross-domain diabetic retinopathy detection using deep learning S Sengupta, A Singh, J Zelek, V Lakshminarayanan Applications of Machine Learning 11139, 233-239, 2019 | 14 | 2019 |
| Recent advances in deep learning applications for retinal diagnosis using OCT HA Leopold, A Singh, S Sengupta, JS Zelek, V Lakshminarayanan State of the Art in Neural Networks, Elsevier, NY, 2020 | 10 | 2020 |
| Deep learning on optical coherence tomography for ophthalmology H Leopold, S Sengupta, A Singh, V Lakshminarayanan State-of-the-Art in Neural Networks. Elsevier, NY, 2020 | 7 | 2020 |
| EdgeWaveNet: edge aware residual wavelet GAN for OCT image denoising S Sengupta, A Singh, V Lakshminarayanan Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and …, 2021 | 5 | 2021 |
| Deep learning for ophthalmology using optical coherence tomography HA Leopold, A Singh, S Sengupta, V Lakshminarayanan State of the Art in Neural Networks and their Applications, 239-269, 2021 | 4 | 2021 |
| Explainable AI for retinal OCT diagnosis AS Brar University of Waterloo, 2021 | | 2021 |
| Injury Pattern Analysis in a Fatal Crash: Unraveling the Enigma DD Ghosh, D Talukdar, A Singh Indian Journal of Aerospace Medicine 62 (2), 29-36, 2018 | | 2018 |
| Safety and Efficacy of Loteprednol Etabonate Ophthalmic Ointment, 0.5% in a Human Postoperative Inflammation Model TL Comstock, MR Paterno, A Singh, TA Erb, EA Davis Investigative Ophthalmology & Visual Science 51 (13), 1979-1979, 2010 | | 2010 |
| ASSESSMENT OF VESSEL PATENCY AND MYOCARDIAL ISCHEMIA AFTER PTCA BY QUANTITATION OF STANDARD SPECT POLAR MAPS CWJ SCHIEPERS, A SINGH, JA SOSA CLINICAL RESEARCH 37 (2), A293-A293, 1989 | | 1989 |
| Explainable Deep Learning Methods for Ophthalmic Diagnosis A Singh, JJ Balaji, MA Rasheed, V Jayakumar, R Raman, ... | | |
Vasudevan LakshminarayananUniversity of WaterlooVerified email at uwaterloo.ca
