Saurav Sengupta

According to our database, Saurav Sengupta authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

Detecting Spike Wave Discharges (SWD) using 1-dimensional Residual UNet.

Saurav Sengupta, Scott Kilianski, Suchetha Sharma, Sakina Lashkeri, Ashley McHugh, Mark Beenhakker, Donald E. Brown

CoRR, January, 2026

2025

Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions.

Saurav Sengupta, Nazanin Moradinasab, Jiebei Liu, Donald E. Brown

CoRR, November, 2025

Examining Vision Language Models through Multi-dimensional Experiments with Vision and Text Features.

Saurav Sengupta, Nazanin Moradinasab, Jiebei Liu, Donald E. Brown

CoRR, September, 2025

Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment.

Nazanin Moradinasab, Saurav Sengupta, Jiebei Liu, Sana Syed, Donald E. Brown

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Automatic Report Generation for Histopathology Images Using Pre-Trained Vision Transformers and BERT.

Saurav Sengupta, Donald E. Brown

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Automatic Report Generation for Histopathology images using pre-trained Vision Transformers.

Saurav Sengupta, Donald E. Brown

CoRR, 2023

Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C.

Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Scott A. Chapman, Donald E. Brown

Proceedings of the International Conference on Machine Learning and Applications, 2023

A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data.

Sihang Jiang, Johanna Loomba, Andrea Zhou, Suchetha Sharma, Saurav Sengupta, Donald E. Brown

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid.

Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Donald E. Brown, Lorna E. Thorpe, Melissa A. Haendel, Christopher G. Chute, Stephanie S. Hong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2019

Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease.

Aman Shrivastava, Karan Kant, Saurav Sengupta, Sung-Jun Kang, Marium N. Khan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019