Parallelized Common Factor Attack on RSA. - Vineet Kumar 005; Aneek Roy; Sourya Sengupta; Sourav Sen Gupta 001 (ICISS, 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)

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)

Ophthalmic Diagnosis and Deep Learning - A Survey. - Sourya Sengupta; Amitojdeep Singh; Henry A. Leopold; Vasudevan Lakshminarayanan (CoRR, 2018)

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 (OMIA@MICCAI, 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 (OMIA@MICCAI, 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 (Image Processing, 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)

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)

Explainable Deep Learning Models in Medical Image Analysis. - Amitojdeep Singh; Sourya Sengupta; Vasudevan Lakshminarayanan (J. Imaging, 2020)

Uncertainty aware and explainable diagnosis of retinal disease. - Amitojdeep Singh; Sourya Sengupta; Mohammed Abdul Rasheed; Varadharajan Jayakumar; Vasudevan Lakshminarayanan (CoRR, 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)

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 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers. - Sourya Sengupta; Craig K. Abbey; Kaiyan Li 002; Mark A. Anastasio (Image Perception, Observer Performance, and Technology Assessment, 2022)

Semi-supervised contrastive learning for white blood cell segmentation from label-free quantitative phase imaging. - Sourya Sengupta; Michael John Fanous; Hua Li 003; Mark A. Anastasio (Digital and Computational Pathology, 2023)

Revisiting model self-interpretability in a decision-theoretic way for binary medical image classification. - Sourya Sengupta; Mark A. Anastasio (CoRR, 2023)

Is SAM 2 Better than SAM in Medical Image Segmentation? - Sourya Sengupta; Satrajit Chakrabarty; Ravi Soni (CoRR, 2024)

A Test Statistic Estimation-Based Approach for Establishing Self-Interpretable CNN-Based Binary Classifiers. - Sourya Sengupta; Mark A. Anastasio (IEEE Trans. Medical Imaging, 2024)

SynthFM: Training Modality-Agnostic Foundation Models for Medical Image Segmentation Without Real Medical Data. - Sourya Sengupta; Satrajit Chakrabarty; Keerthi Sravan Ravi; Gopal Avinash; Ravi Soni (ISBI, 2025)