| Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays K Yu, S Ghosh, Z Liu, C Deible, K Batmanghelich Medical Image Computing and Computer Assisted Intervention--MICCAI 2022 …, 2022 | 22 | 2022 |
| Propensity score synthetic augmentation matching using generative adversarial networks (PSSAM-GAN) S Ghosh, C Boucher, J Bian, M Prosperi Computer methods and programs in biomedicine update 1, 100020, 2021 | 12 | 2021 |
| Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat S Ghosh, K Yu, F Arabshahi, K Batmanghelich 40th International Conference on Machine Learning (ICML 2023) 202, 11360--11397, 2023 | 6* | 2023 |
| Deep propensity network using a sparse autoencoder for estimation of treatment effects S Ghosh, J Bian, Y Guo, M Prosperi Journal of the American Medical Informatics Association 28 (6), 1197-1206, 2021 | 6 | 2021 |
| Distilling blackbox to interpretable models for efficient transfer learning S Ghosh, K Yu, K Batmanghelich International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset? M Prosperi, S Ghosh, C Zhaoyi, S Marco, L Tianchen, J Zhao, J Bian ICMHI 2021: 2021 5th International Conference on Medical and Health …, 2021 | 2 | 2021 |
| Tackling Shortcut Learning in Deep Neural Networks: An Iterative Approach with Interpretable Models S Ghosh, K Yu, F Arabshahi, K Batmanghelich ICML 2023 Workshop on Spurious Correlations, Invariance, and Stability …, 2023 | 1 | 2023 |
| Dividing and conquering a BlackBox to a mixture of interpretable models: route, interpret, repeat K Batmanghelich, S Ghosh, K Yu, F Arabshahi | | 2023 |
| Bridging the Gap: From Post Hoc Explanations to Inherently Interpretable Models for Medical Imaging S Ghosh, K Yu, F Arabshahi ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | | 2023 |
| Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance S Ghosh, K Batmanghelich arXiv preprint arXiv:2307.13698, 2023 | | 2023 |
| Anatomy-guided weakly-supervised abnormality localization in chest X-rays K Batmanghelich, K Yu, S Ghosh, Z Liu, C Deible | | 2022 |
| DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data S GHOSH, Z Feng, J Bian, K Butler, M Prosperi AMIA Annual Symposium Proceedings 2022, 485--494, 2022 | | 2022 |
Kayhan BatmanghelichAssistant Professor, Boston UniversityVerified email at bu.edu
