Shantanu Ghosh

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 17

Top Topics

Top Venues

IEEE J. Biomed. Health Informatics

Int. J. Medical Informatics

Publications

Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography. CoRR (2024)
Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich
Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models. CoRR (2023)
Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. CoRR (2023)
Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia C. F. Prosperi
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data. CoRR (2023)
Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich
Distilling BlackBox to Interpretable models for Efficient Transfer Learning. CoRR (2023)
Polavarapu Bhagya Lakshmi, V. Dinesh Reddy, Shantanu Ghosh, Sandeep Singh Sengar
Classification of Autism Spectrum Disorder Based on Brain Image Data Using Deep Neural Networks. FICTA (1) (2023)
Shantanu Ghosh, Kayhan Batmanghelich
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance. CoRR (2023)
Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. ICML (2023)
Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich
Distilling BlackBox to Interpretable Models for Efficient Transfer Learning. MICCAI (2) (2023)
Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. MICCAI (5) (2022)
Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia C. F. Prosperi
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation. AMIA (2022)
Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. CoRR (2022)
Shantanu Ghosh, Jiang Bian, Yi Guo, Mattia C. F. Prosperi
Deep propensity network using a sparse autoencoder for estimation of treatment effects. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Mattia C. F. Prosperi, Shantanu Ghosh, Zhaoyi Chen, Marco Salemi, Tianchen Lyu, Jinying Zhao, Jiang Bian
Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset? ICMHI (2021)
Prashanth Ravindran, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
High-Accuracy Classification of Parkinson's Disease Through Shape Analysis and Surface Fitting in 123I-Ioflupane SPECT Imaging. IEEE J. Biomed. Health Informatics 21 (3) (2017)
R. Prashanth, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
I-Ioflupane SPECT Imaging. CoRR (2017)
R. Prashanth, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning. Int. J. Medical Informatics 90 (2016)
R. Prashanth, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
Parkinson's disease detection using olfactory loss and REM sleep disorder features. EMBC (2014)
R. Prashanth, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
Automatic classification and prediction models for early Parkinson's disease diagnosis from SPECT imaging. Expert Syst. Appl. 41 (7) (2014)
R. Prashanth, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh
Surface fitting in SPECT imaging useful for detecting Parkinson's Disease and Scans Without Evidence of Dopaminergic Deficit. NCVPRIPG (2013)
Santanu Chaudhury, Shantanu Ghosh, Amrita Basu, Brejesh Lall, Sumantra Dutta Roy, Lopamudra Choudhury, R. Prashanth, Ashish Singh, Amit Maniyar
Perception-Based Design for Tele-presence. PReMI (2011)