Shantanu Ghosh
Orcid: 0000-0003-4085-541X
According to our database1,
Shantanu Ghosh
authored at least 17 papers
between 2011 and 2023.
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Bibliography
2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance.
CoRR, 2023
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data.
CoRR, 2023
Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models.
CoRR, 2023
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.
Proceedings of the International Conference on Machine Learning, 2023
Classification of Autism Spectrum Disorder Based on Brain Image Data Using Deep Neural Networks.
Proceedings of the Evolution in Computational Intelligence, 2023
2022
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.
Proceedings of the AMIA 2022, 2022
2021
Deep propensity network using a sparse autoencoder for estimation of treatment effects.
J. Am. Medical Informatics Assoc., 2021
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.
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.
CoRR, 2017
2016
High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning.
Int. J. Medical Informatics, 2016
2014
Automatic classification and prediction models for early Parkinson's disease diagnosis from SPECT imaging.
Expert Syst. Appl., 2014
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.
Proceedings of the Fourth National Conference on Computer Vision, 2013
2011
Proceedings of the Pattern Recognition and Machine Intelligence, 2011