Perception-Based Design for Tele-presence. - Santanu Chaudhury; Shantanu Ghosh; Amrita Basu; Brejesh Lall; Sumantra Dutta Roy; Lopamudra Choudhury; R. Prashanth; Ashish Singh; Amit Maniyar (PReMI, 2011)

Surface fitting in SPECT imaging useful for detecting Parkinson's Disease and Scans Without Evidence of Dopaminergic Deficit. - R. Prashanth; Sumantra Dutta Roy; Pravat K. Mandal; Shantanu Ghosh (NCVPRIPG, 2013)

Parkinson's disease detection using olfactory loss and REM sleep disorder features. - R. Prashanth; Sumantra Dutta Roy; Pravat K. Mandal; Shantanu Ghosh (EMBC, 2014)

Automatic classification and prediction models for early Parkinson's disease diagnosis from SPECT imaging. - R. Prashanth; Sumantra Dutta Roy; Pravat K. Mandal; Shantanu Ghosh (Expert Syst. Appl., 2014)

High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning. - R. Prashanth; Sumantra Dutta Roy; Pravat K. Mandal; Shantanu Ghosh (Int. J. Medical Informatics, 2016)

High Accuracy Classification of Parkinson's Disease through Shape Analysis and Surface Fitting in 123I-Ioflupane SPECT Imaging. - R. Prashanth; Sumantra Dutta Roy; Pravat K. Mandal; Shantanu Ghosh (CoRR, 2017)

High-Accuracy Classification of Parkinson's Disease Through Shape Analysis and Surface Fitting in 123I-Ioflupane SPECT Imaging. - Prashanth Ravindran; Sumantra Dutta Roy; Pravat K. Mandal; Shantanu Ghosh (IEEE J. Biomed. Health Informatics, 2017)

Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset? - Mattia Prosperi; Shantanu Ghosh; Zhaoyi Chen; Marco Salemi; Tianchen Lyu; Jinying Zhao; Jiang Bian 001 (ICMHI, 2021)

Deep propensity network using a sparse autoencoder for estimation of treatment effects. - Shantanu Ghosh; Jiang Bian 001; Yi Guo 005; Mattia Prosperi (J. Am. Medical Informatics Assoc., 2021)

DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation. - Shantanu Ghosh; Zheng Feng; Jiang Bian 001; Kevin Butler; Mattia Prosperi (AMIA, 2022)

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. - Ke Yu; Shantanu Ghosh; Zhexiong Liu; Christopher Deible; Kayhan Batmanghelich (MICCAI (5), 2022)

Classification of Autism Spectrum Disorder Based on Brain Image Data Using Deep Neural Networks. - Polavarapu Bhagya Lakshmi; V. Dinesh Reddy 001; Shantanu Ghosh; Sandeep Singh Sengar (FICTA (1), 2023)

Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. - Shantanu Ghosh; Ke Yu; Forough Arabshahi; Kayhan Batmanghelich (ICML, 2023)

Distilling BlackBox to Interpretable Models for Efficient Transfer Learning. - Shantanu Ghosh; Ke Yu; Kayhan Batmanghelich (MICCAI (2), 2023)

Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models. - Shantanu Ghosh; Ke Yu; Forough Arabshahi; Kayhan Batmanghelich (CoRR, 2023)

DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data. - Shantanu Ghosh; Zheng Feng; Jiang Bian 001; Kevin Butler; Mattia Prosperi (CoRR, 2023)

Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance. - Shantanu Ghosh; Kayhan Batmanghelich (CoRR, 2023)

Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography. - Shantanu Ghosh; Clare B. Poynton; Shyam Visweswaran; Kayhan Batmanghelich (MICCAI (12), 2024)

LADDER: Language Driven Slice Discovery and Error Rectification. - Shantanu Ghosh; Chenyu Wang; Kayhan Batmanghelich (CoRR, 2024)

Distributionally robust self-supervised learning for tabular data. - Shantanu Ghosh; Tiankang Xie; Mikhail Kuznetsov (CoRR, 2024)

LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers. - Shantanu Ghosh; Rayan Syed; Chenyu Wang; Vaibhav Choudhary; Binxu Li; Clare B. Poynton; Shyam Visweswaran; Kayhan Batmanghelich (ACL (Findings), 2025)

Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation. - Chenyu Wang; Weichao Zhou; Shantanu Ghosh; Kayhan Batmanghelich; Wenchao Li 001 (NAACL (Findings), 2025)