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Saurav Sengupta
Saurav Sengupta
Graduate Research Assistant, University of Virginia
Verified email at virginia.edu - Homepage
Title
Cited by
Cited by
Year
Deep learning for detecting diseases in gastrointestinal biopsy images
A Srivastava, S Sengupta, SJ Kang, K Kant, M Khan, SA Ali, SR Moore, ...
2019 Systems and information engineering design symposium (SIEDS), 1-4, 2019
162019
Deep learning for visual recognition of environmental enteropathy and celiac disease
A Shrivastava, K Kant, S Sengupta, SJ Kang, M Khan, SA Ali, SR Moore, ...
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
132019
Artificial intelligence-based analytics for diagnosis of small bowel enteropathies and black box feature detection
S Syed, L Ehsan, A Shrivastava, S Sengupta, M Khan, K Kowsari, ...
Journal of pediatric gastroenterology and nutrition 72 (6), 833-841, 2021
92021
Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid
S Sengupta, J Loomba, S Sharma, DE Brown, L Thorpe, MA Haendel, ...
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022
42022
Handwritten text and digit classification on rwandan perioperative flowsheets via YOLOv5
N Annapareddy, K Fallin, R Folks, W Jarrard, M Durieux, N Moradinasab, ...
2022 Systems and Information Engineering Design Symposium (SIEDS), 270-275, 2022
32022
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT
S Sengupta, DE Brown
arXiv preprint arXiv:2312.01435, 2023
22023
Identifying Pediatric Crohn’s Disease Using Deep Learning to Classify Magnetic Resonance Enterography (MRE) Images
M Shand, J Manderfield, S Singh, C McLafferty, Y Sharma, S Sengupta, ...
2021 Systems and Information Engineering Design Symposium (SIEDS), 1-6, 2021
22021
MACHINE LEARNING FOR CROHN’S DISEASE PHENOTYPE MODELING USING BIOPSY IMAGES
S Syed, S Sengupta, L Ehsan, E Bonkowski, C Moskaluk, A Griffiths, ...
Inflammatory Bowel Diseases 27 (Supplement_1), S10-S11, 2021
22021
Mo1992–solving the stain dilemma: Computational image analysis to address differential tissue staining color bias in duodenal biopsies
S Syed, A Shrivastava, K Kant, S Sengupta, L Kang, MN Khan, NT Iqbal, ...
Gastroenterology 156 (6), S-914-S-915, 2019
22019
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers
S Sengupta, DE Brown
Machine Learning for Health (ML4H) Findings, 2023
12023
Quantitative morphometry and machine learning model to explore duodenal and rectal mucosal tissue of children with environmental enteric dysfunction
M Khan, Z Jamil, L Ehsan, F Zulqarnain, S Srivastava, S Siddiqui, ...
The American journal of tropical medicine and hygiene 108 (4), 672, 2023
12023
Deep Learning for Predicting Pediatric Crohn's Disease Using Histopathological Imaging
AH Sharma, BW Lawlor, JY Wang, Y Sharma, S Sengupta, P Fernandes, ...
2022 Systems and Information Engineering Design Symposium (SIEDS), 122-127, 2022
12022
A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data
S Jiang, J Loomba, A Zhou, S Sharma, S Sengupta, DE Brown
2023 International Conference on Machine Learning and Applications (ICMLA …, 2023
2023
Determining risk factors for Long COVID using Positive Unlabeled learning on Electronic Health Records data from NIH N3C
S Sengupta, J Loomba, S Sharma, S A. Chapman, D E. Brown
2023 IEEE International Conference on Machine Learning Applications (ICMLA …, 2023
2023
Investigating the Impact of Temporal Labeling of Emergency Department Visits for COVID-19: Comparing Healthcare Disparities Analyses Using Comprehensive, Single-Site Data with …
M Jones, A Winger, C Wernz, J Michel, S Jiang, A Zhou, EJ Hilton, ...
2023 Systems and Information Engineering Design Symposium (SIEDS), 297-302, 2023
2023
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