DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data.

[BibT_eX]

[DOI]

Shantanu Ghosh

Zheng Feng

Jiang Bian

Kevin Butler

Mattia Prosperi

CoRR, 2023

Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models.

[BibT_eX]

[DOI]

CoRR, 2023

Distilling BlackBox to Interpretable Models for Efficient Transfer Learning.

[BibT_eX]

[DOI]

Shantanu Ghosh

Ke Yu

Kayhan Batmanghelich

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Classification of Autism Spectrum Disorder Based on Brain Image Data Using Deep Neural Networks.

[BibT_eX]

[DOI]

Polavarapu Bhagya Lakshmi

V. Dinesh Reddy

Shantanu Ghosh

Sandeep Singh Sengar

Proceedings of the Evolution in Computational Intelligence, 2023

2022

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2022, 2022

2021

Deep propensity network using a sparse autoencoder for estimation of treatment effects.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2021

Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset?

[BibT_eX]

[DOI]

Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021

2017

High-Accuracy Classification of Parkinson's Disease Through Shape Analysis and Surface Fitting in 123I-Ioflupane SPECT Imaging.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2017

High Accuracy Classification of Parkinson's Disease through Shape Analysis and Surface Fitting in <sup>123</sup>I-Ioflupane SPECT Imaging.

[BibT_eX]

[DOI]

CoRR, 2017

2016

High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning.

[BibT_eX]

[DOI]

Int. J. Medical Informatics, 2016

2014

Automatic classification and prediction models for early Parkinson's disease diagnosis from SPECT imaging.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

Parkinson's disease detection using olfactory loss and REM sleep disorder features.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Surface fitting in SPECT imaging useful for detecting Parkinson's Disease and Scans Without Evidence of Dopaminergic Deficit.

[BibT_eX]

[DOI]

Proceedings of the Fourth National Conference on Computer Vision, 2013

2011

Perception-Based Design for Tele-presence.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2011

Shantanu Ghosh

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