Shantanu Ghosh

28 papers A* 1Misc 1Journal 16Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers.
ACL (Findings)
Shantanu Ghosh, Rayan Syed, Chenyu Wang, Vaibhav Choudhary, Binxu Li, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
2025 J jnl
Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting.
CoRR
Shantanu Ghosh, Vedant Parthesh Joshi, Rayan Syed, Aya Kassem, Abhishek Varshney, Payel Basak, Weicheng Dai, Judy Wawira Gichoya, Hari M. Trivedi, Imon Banerjee, Shyam Visweswaran, Clare B. Poynton, Kayhan Batmanghelich
2025 — conf
Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation.
NAACL (Findings)
Chenyu Wang, Weichao Zhou, Shantanu Ghosh, Kayhan Batmanghelich, Wenchao Li
2024 J jnl
Distributionally robust self-supervised learning for tabular data.
CoRR
Shantanu Ghosh, Tiankang Xie, Mikhail Kuznetsov
2024 J jnl
LADDER: Language Driven Slice Discovery and Error Rectification.
CoRR
Shantanu Ghosh, Chenyu Wang, Kayhan Batmanghelich
2024 — conf
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography.
MICCAI (12)
Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
2024 J jnl
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography.
CoRR
Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
2024 J jnl
Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation.
CoRR
Chenyu Wang, Weichao Zhou, Shantanu Ghosh, Kayhan Batmanghelich, Wenchao Li
2023 — conf
Classification of Autism Spectrum Disorder Based on Brain Image Data Using Deep Neural Networks.
FICTA (1)
Polavarapu Bhagya Lakshmi, V. Dinesh Reddy, Shantanu Ghosh, Sandeep Singh Sengar
2023 J jnl
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data.
CoRR
Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia Prosperi
2023 — conf
Distilling BlackBox to Interpretable Models for Efficient Transfer Learning.
MICCAI (2)
Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich
2023 J jnl
Distilling BlackBox to Interpretable models for Efficient Transfer Learning.
CoRR
Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich
2023 A* conf
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat.
ICML
Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich
2023 J jnl
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat.
CoRR
Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich
2023 J jnl
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance.
CoRR
Shantanu Ghosh, Kayhan Batmanghelich
2023 J jnl
Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models.
CoRR
Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich
2022 — conf
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays.
MICCAI (5)
Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich
2022 J jnl
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays.
CoRR
Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich
2022 Misc conf
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation.
AMIA
Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia Prosperi
2021 — conf
Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset?
ICMHI
Mattia Prosperi, Shantanu Ghosh, Zhaoyi Chen, Marco Salemi, Tianchen Lyu, Jinying Zhao, Jiang Bian
2021 J jnl
Deep propensity network using a sparse autoencoder for estimation of treatment effects.
J. Am. Medical Informatics Assoc.
Shantanu Ghosh, Jiang Bian, Yi Guo, Mattia Prosperi
2017 J jnl
High Accuracy Classification of Parkinson's Disease through Shape Analysis and Surface Fitting in
CoRR
R. Prashanth, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
2017 J jnl
High-Accuracy Classification of Parkinson's Disease Through Shape Analysis and Surface Fitting in 123I-Ioflupane SPECT Imaging.
IEEE J. Biomed. Health Informatics
Prashanth Ravindran, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
2016 J jnl
High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning.
Int. J. Medical Informatics
R. Prashanth, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
2014 J jnl
Automatic classification and prediction models for early Parkinson's disease diagnosis from SPECT imaging.
Expert Syst. Appl.
R. Prashanth, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
2014 — conf
Parkinson's disease detection using olfactory loss and REM sleep disorder features.
EMBC
R. Prashanth, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
2013 — conf
Surface fitting in SPECT imaging useful for detecting Parkinson's Disease and Scans Without Evidence of Dopaminergic Deficit.
NCVPRIPG
R. Prashanth, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
2011 — conf
Perception-Based Design for Tele-presence.
PReMI
Santanu Chaudhury, Shantanu Ghosh, Amrita Basu, Brejesh Lall, Sumantra Dutta Roy, Lopamudra Choudhury, R. Prashanth, Ashish Singh, Amit Maniyar