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 | 17 | 2019 |
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 | 13 | 2019 |
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 | 10 | 2021 |
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 | 4 | 2022 |
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 | 3 | 2022 |
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT S Sengupta, DE Brown arXiv preprint arXiv:2312.01435, 2023 | 2 | 2023 |
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 | 2 | 2022 |
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 | 2 | 2021 |
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 | 2 | 2021 |
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 | 2 | 2019 |
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers S Sengupta, DE Brown Machine Learning for Health (ML4H) Findings, 2023 | 1 | 2023 |
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 | 1 | 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 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 |