Sourya Sengupta

According to our database, Sourya Sengupta authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Revisiting model self-interpretability in a decision-theoretic way for binary medical image classification.

Sourya Sengupta, Mark A. Anastasio

CoRR, 2023

2022

Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers.

Sourya Sengupta, Craig K. Abbey, Kaiyan Li, Mark A. Anastasio

Proceedings of the Medical Imaging 2022: Image Perception, 2022

Analyzing neural networks applied to an anatomical simulation of the breast.

Craig K. Abbey, Sourya Sengupta, Weimin Zhou, Andreu Badal, Rongping Zeng, Frank W. Samuelson, Miguel P. Eckstein, Kyle J. Myers, Mark A. Anastasio, Jovan G. Brankov

Proceedings of the Medical Imaging 2022: Image Perception, 2022

2021

BIDEAL: A Toolbox for Bicluster Analysis - Generation, Visualization and Validation.

Nishchal K. Verma, Teena Sharma, Sonal Dixit, Pooja Agrawal, Sourya Sengupta, Vikas Singh

SN Comput. Sci., 2021

Uncertainty aware and explainable diagnosis of retinal disease.

Amitojdeep Singh, Sourya Sengupta, Mohammed Abdul Rasheed, Varadharajan Jayakumar, Vasudevan Lakshminarayanan

CoRR, 2021

2020

Explainable Deep Learning Models in Medical Image Analysis.

Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan

J. Imaging, 2020

From Speech to Recital - A case of phase transition? A non-linear study.

Chirayata Bhattacharya, Sourya Sengupta, Sayan Nag, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh

CoRR, 2020

Ophthalmic diagnosis using deep learning with fundus images - A critical review.

Sourya Sengupta, Amitojdeep Singh, Henry A. Leopold, Tanmay Gulati, Vasudevan Lakshminarayanan

Artif. Intell. Medicine, 2020

FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis.

Sourya Sengupta, Akshay Athwale, Tanmay Gulati, John S. Zelek, Vasudevan Lakshminarayanan

Proceedings of the Medical Imaging 2020: Image Processing, 2020

What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification?

Amitojdeep Singh, Sourya Sengupta, J. Jothi Balaji, Mohammed Abdul Rasheed, Ibrahim Faruq, Varadharajan Jayakumar, John S. Zelek, Vasudevan Lakshminarayanan

Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images.

Sourya Sengupta, Alexander Wong, Amitojdeep Singh, John S. Zelek, Vasudevan Lakshminarayanan

Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

2018

Ophthalmic Diagnosis and Deep Learning - A Survey.

Sourya Sengupta, Amitojdeep Singh, Henry A. Leopold, Vasudevan Lakshminarayanan

CoRR, 2018

2017

Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG.

Shankha Sanyal, Archi Banerjee, Souparno Roy, Sourya Sengupta, Sayan Biswas, Sayan Nag, Ranjan Sengupta, Dipak Ghosh

CoRR, 2017

Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music.

Sayan Nag, Sayan Biswas, Sourya Sengupta, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh

CoRR, 2017

Parallelized Common Factor Attack on RSA.

Vineet Kumar, Aneek Roy, Sourya Sengupta, Sourav Sen Gupta

Proceedings of the Information Systems Security - 13th International Conference, 2017