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Shantanu Ghosh
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2020 – today
- 2024
- [i8]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 abs/2405.12255 (2024) - 2023
- [c9]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: 209-218 - [c8]Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich:
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. ICML 2023: 11360-11397 - [c7]Shantanu Ghosh
, Ke Yu, Kayhan Batmanghelich:
Distilling BlackBox to Interpretable Models for Efficient Transfer Learning. MICCAI (2) 2023: 628-638 - [i7]Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich:
Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models. CoRR abs/2302.10289 (2023) - [i6]Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia Prosperi:
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data. CoRR abs/2303.04201 (2023) - [i5]Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich:
Distilling BlackBox to Interpretable models for Efficient Transfer Learning. CoRR abs/2305.17303 (2023) - [i4]Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich:
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. CoRR abs/2307.05350 (2023) - [i3]Shantanu Ghosh, Kayhan Batmanghelich:
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance. CoRR abs/2307.13698 (2023) - 2022
- [c6]Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia Prosperi:
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation. AMIA 2022 - [c5]Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich:
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. MICCAI (5) 2022: 658-668 - [i2]Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich:
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. CoRR abs/2206.12704 (2022) - 2021
- [j4]Shantanu Ghosh
, Jiang Bian
, Yi Guo, Mattia Prosperi
:
Deep propensity network using a sparse autoencoder for estimation of treatment effects. J. Am. Medical Informatics Assoc. 28(6): 1197-1206 (2021) - [c4]Mattia 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: 296-303
2010 – 2019
- 2017
- [j3]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): 794-802 (2017) - [i1]R. Prashanth, 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. CoRR abs/1703.01526 (2017) - 2016
- [j2]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: 13-21 (2016) - 2014
- [j1]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): 3333-3342 (2014) - [c3]R. Prashanth, Sumantra Dutta Roy
, Pravat K. Mandal, Shantanu Ghosh:
Parkinson's disease detection using olfactory loss and REM sleep disorder features. EMBC 2014: 5764-5767 - 2013
- [c2]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: 1-4 - 2011
- [c1]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: 154-159
Coauthor Index
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last updated on 2024-08-05 20:18 CEST by the dblp team
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