| Explainable deep learning models in medical image analysis A Singh, S Sengupta, V Lakshminarayanan Journal of Imaging, 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, Elsevier Journal 102, 101758, 2020 | 197* | 2020 |
| What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification? A Singh, S Sengupta, AR Mohammed, I Faruq, V Jayakumar, J Zelek, ... MICCAI 2020: 7th Workshop OMIA, 21-31, 2020 | 23 | 2020 |
| 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 MICCAI 2020: 7th Workshop OMIA, 32-41, 2020 | 15 | 2020 |
| FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis S Sengupta, A Athwale, T Gulati, J Zelek, V Lakshminarayanan Medical Imaging 2020: Image Processing 11313, 665-671, 2020 | 14 | 2020 |
| Emotion specification from musical stimuli: An EEG study with AFA and DFA S Sengupta, S Biswas, S Nag, S Sanyal, A Banerjee, R Sengupta, ... 2017 4th International Conference on Signal Processing and Integrated …, 2017 | 14 | 2017 |
| 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 |
| Can musical emotion be quantified with neural jitter or shimmer? A novel EEG based study with Hindustani classical music S Nag, S Biswas, S Sengupta, S Sanyal, A Banerjee, R Sengupta, ... 2017 4th International Conference on Signal Processing and Integrated …, 2017 | 10 | 2017 |
| White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS) MJ Fanous, S He, S Sengupta, K Tangella, N Sobh, MA Anastasio, ... Scientific reports 12 (1), 20043, 2022 | 9 | 2022 |
| BIDEAL: a toolbox for bicluster analysis—generation, visualization and validation NK Verma, T Sharma, S Dixit, P Agrawal, S Sengupta, V Singh SN Computer Science 2, 1-15, 2021 | 9 | 2021 |
| Application of an enhanced deep super-resolution network in retinal image analysis T Gulati, S Sengupta, V Lakshminarayanan Ophthalmic technologies XXX 11218, 72-77, 2020 | 8 | 2020 |
| Quantification and categorization of emotion using cross cultural music: an EEG based fractal study S Sengupta, S Biswas, S Sanyal, A Banerjee, R Sengupta, D Ghosh 2016 2nd International Conference on Next Generation Computing Technologies …, 2016 | 6 | 2016 |
| Computer aided technique for Epilepsy classification using cross wavelet transform and RBF-kernel based support vector machine S Sengupta, D Chanda, A Mitra, S Dutta 2016 2nd International Conference on Next Generation Computing Technologies …, 2016 | 6 | 2016 |
| 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 |
| Neural (EEG) Response during Creation and Appreciation: A Novel Study with Hindustani Raga Music A Banerjee, S Sanyal, S Roy, S Sengupta, S Biswas, S Nag, R Sengupta, ... arXiv preprint arXiv:1704.05687, 2017 | 4 | 2017 |
| Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers S Sengupta, CK Abbey, K Li, MA Anastasio Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022 | 2 | 2022 |
| Analyzing neural networks applied to an anatomical simulation of the breast CK Abbey, S Sengupta, W Zhou, A Badal, R Zeng, FW Samuelson, ... Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022 | 2 | 2022 |
| Semi-supervised contrastive learning for white blood cell segmentation from label-free quantitative phase imaging S Sengupta, M Fanous, H Li, MA Anastasio Medical Imaging 2023: Digital and Computational Pathology 12471, 90-95, 2023 | 1 | 2023 |
| Revisiting model self-interpretability in a decision-theoretic way for binary medical image classification S Sengupta, MA Anastasio ICML 2023 Workshop IMLH, 2023 | 1 | 2023 |
Vasudevan LakshminarayananUniversity of WaterlooVerified email at uwaterloo.ca
