| Explanation by progressive exaggeration S Singla, B Pollack, J Chen, K Batmanghelich arXiv preprint arXiv:1911.00483, 2019 | 120 | 2019 |
| Explaining the black-box smoothly—a counterfactual approach S Singla, M Eslami, B Pollack, S Wallace, K Batmanghelich Medical image analysis 84, 102721, 2023 | 66 | 2023 |
| Using causal analysis for conceptual deep learning explanation S Singla, S Wallace, S Triantafillou, K Batmanghelich Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 23 | 2021 |
| Subject2Vec: generative-discriminative approach from a set of image patches to a vector S Singla, M Gong, S Ravanbakhsh, F Sciurba, B Poczos, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 23 | 2018 |
| Improving clinical disease subtyping and future events prediction through a chest CT‐based deep learning approach S Singla, M Gong, C Riley, F Sciurba, K Batmanghelich Medical physics 48 (3), 1168-1181, 2021 | 18 | 2021 |
| Self-supervised vessel enhancement using flow-based consistencies R Jena, S Singla, K Batmanghelich Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| Augmentation by counterfactual explanation-fixing an overconfident classifier S Singla, N Murali, F Arabshahi, S Triantafyllou, K Batmanghelich Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 7 | 2023 |
| Explaining the Black-box Smoothly-A Counterfactual Approach. 1 2021 S Singla, B Pollack, S Wallace, K Batmanghelich URL http://arxiv. org/abs/2101.04230, 0 | 5 | |
| International Conference on Medical Image Computing and Computer-Assisted Intervention S Singla, M Gong, S Ravanbakhsh, F Sciurba, B Poczos, ... | 3 | 2018 |
| Deep Learning for Medical Imaging From Diagnosis Prediction to its Counterfactual Explanation S Singla arXiv preprint arXiv:2209.02929, 2022 | 2 | 2022 |
| Deep Learning for Medical Imaging S Singla University of Pittsburgh, 2022 | 1 | 2022 |
| Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach A Saeedi, P Yadollahpour, S Singla, B Pollack, W Wells, F Sciurba, ... Machine Learning for Healthcare Conference, 478-505, 2021 | | 2021 |
| Empowering Variational Inference with Predictive Features: Application to Disease Suptypying A Saeedi, P Yadollahpour Proceedings of Machine Learning Research, 2021 | | 2021 |
| Kernel Selection and Dimensionality Reduction in SVM Classification of Autism Spectrum Disorders M Hromatka, S Singla, S Chandramouli, Y Shen | | |
| Statistical Shape Modeling to Quantify and Comparison of Proximal Femoral Cortical Bone Thickness between Patients with Femoroacetabular Impingement and Normal Hips Analyzed by … P Atkins | | |
| Generative Interpretability: Application in Disease Subtyping P Yadollahpour, A Saeedi, S Singla, FC Sciurba, K Batmanghelich | | |
Kayhan BatmanghelichAssistant Professor, Boston UniversityE-mail confirmado em bu.edu