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ORCIDSourya Sengupta
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2020 – today
- 2024
[j4]Sourya Sengupta
, Mark A. Anastasio:
A Test Statistic Estimation-Based Approach for Establishing Self-Interpretable CNN-Based Binary Classifiers. IEEE Trans. Medical Imaging 43(5): 1753-1765 (2024)- [i9]Sourya Sengupta, Satrajit Chakrabarty, Ravi Soni:
Is SAM 2 Better than SAM in Medical Image Segmentation? CoRR abs/2408.04212 (2024) - 2023
- [i8]Sourya Sengupta, Mark A. Anastasio:
Revisiting model self-interpretability in a decision-theoretic way for binary medical image classification. CoRR abs/2303.06876 (2023) - 2022
- [c6]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:
Analyzing neural networks applied to an anatomical simulation of the breast. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [c5]Sourya Sengupta, Craig K. Abbey, Kaiyan Li, Mark A. Anastasio:
Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [j3]Nishchal K. Verma, Teena Sharma, Sonal Dixit, Pooja Agrawal, Sourya Sengupta, Vikas Singh:
BIDEAL: A Toolbox for Bicluster Analysis - Generation, Visualization and Validation. SN Comput. Sci. 2(1): 24 (2021) - [i7]Amitojdeep Singh, Sourya Sengupta, Mohammed Abdul Rasheed, Varadharajan Jayakumar, Vasudevan Lakshminarayanan:
Uncertainty aware and explainable diagnosis of retinal disease. CoRR abs/2101.12041 (2021) - 2020
- [j2]Sourya Sengupta, Amitojdeep Singh, Henry A. Leopold, Tanmay Gulati, Vasudevan Lakshminarayanan:
Ophthalmic diagnosis using deep learning with fundus images - A critical review. Artif. Intell. Medicine 102: 101758 (2020) - [j1]Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan:
Explainable Deep Learning Models in Medical Image Analysis. J. Imaging 6(6): 52 (2020) - [c4]Amitojdeep Singh, Sourya Sengupta, J. Jothi Balaji, Mohammed Abdul Rasheed, Ibrahim Faruq, Varadharajan Jayakumar, John S. Zelek, Vasudevan Lakshminarayanan:
What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification? OMIA@MICCAI 2020: 21-31 - [c3]Sourya Sengupta, Alexander Wong, Amitojdeep Singh, John S. Zelek, Vasudevan Lakshminarayanan:
DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images. OMIA@MICCAI 2020: 32-41 - [c2]Sourya Sengupta, Akshay Athwale, Tanmay Gulati, John S. Zelek, Vasudevan Lakshminarayanan:
FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis. Medical Imaging: Image Processing 2020: 113132M - [i6]Chirayata Bhattacharya, Sourya Sengupta, Sayan Nag, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh:
From Speech to Recital - A case of phase transition? A non-linear study. CoRR abs/2004.08248 (2020) - [i5]Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan:
Explainable deep learning models in medical image analysis. CoRR abs/2005.13799 (2020) - [i4]Nishchal K. Verma, Teena Sharma, Sonal Dixit, Pooja Agrawal, Sourya Sengupta, Vikas Singh:
BIDEAL: A Toolbox for Bicluster Analysis - Generation, Visualization and Validation. CoRR abs/2007.13737 (2020)
2010 – 2019
- 2018
- [i3]Sourya Sengupta, Amitojdeep Singh, Henry A. Leopold, Vasudevan Lakshminarayanan:
Ophthalmic Diagnosis and Deep Learning - A Survey. CoRR abs/1812.07101 (2018) - 2017
- [c1]Vineet Kumar, Aneek Roy, Sourya Sengupta, Sourav Sen Gupta:
Parallelized Common Factor Attack on RSA. ICISS 2017: 303-312 - [i2]Shankha Sanyal, Archi Banerjee, Souparno Roy, Sourya Sengupta, Sayan Biswas, Sayan Nag, Ranjan Sengupta, Dipak Ghosh:
Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG. CoRR abs/1703.06491 (2017) - [i1]Sayan Nag, Sayan Biswas, Sourya Sengupta, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh:
Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music. CoRR abs/1705.03543 (2017)
Coauthor Index
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