| Deep learning for whole-slide tissue histopathology classification: A comparative study in the identification of dysplastic and non-dysplastic Barrett’s esophagus R Sali, N Moradinasab, S Guleria, L Ehsan, P Fernandes, TU Shah, ... Journal of Personalized Medicine 10 (4), 141, 2020 | 22 | 2020 |
| Machine learning predictive outcomes modeling in inflammatory bowel diseases A Javaid, O Shahab, W Adorno, P Fernandes, E May, S Syed Inflammatory bowel diseases 28 (6), 819-829, 2022 | 10 | 2022 |
| Lesion2Vec: Deep Meta Learning for Few-Shot Lesion Recognition in Capsule Endoscopy Video S Adewole, P Fernandes, J Jablonski, A Copland, M Porter, S Syed, ... Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2, 762-774, 2022 | 4 | 2022 |
| Graph convolutional neural network for weakly supervised abnormality localization in long capsule endoscopy videos S Adewole, P Fernandes, J Jablonski, A Copland, M Porter, S Syed, ... 2021 IEEE International Conference on Big Data (Big Data), 388-399, 2021 | 4 | 2021 |
| Identifying metabolic shifts in Crohn's disease using'omics-driven contextualized computational metabolic network models P Fernandes, Y Sharma, F Zulqarnain, B McGrew, A Shrivastava, L Ehsan, ... Scientific Reports 13 (1), 203, 2023 | 3 | 2023 |
| Deep learning tissue analysis diagnoses and predicts treatment response in eosinophilic esophagitis A Javaid, P Fernandes, W Adorno III, A Catalano, L Ehsan, ... medRxiv, 2021.06. 10.21258624, 2021 | 3 | 2021 |
| Unsupervised shot boundary detection for temporal segmentation of long capsule endoscopy videos S Adewole, P Fernandes, J Jablonski, A Copland, M Porter, S Syed, ... arXiv preprint arXiv:2110.09067, 2021 | 2 | 2021 |
| 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 |
| 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 |
| 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 | 1 | 2022 |
| Multi-frame Abnormality Detection in Video Capsule Endoscopy J Jablonski, P Fernandes, S Adewole, S Syed, D Brown, M Porter Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2, 177-186, 2022 | 1 | 2022 |
| Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos S Adewole, P Fernandes, J Jablonski, A Copland, M Porter, S Syed, ... arXiv preprint arXiv:2110.09110, 2021 | 1 | 2021 |
| The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning S Guleria, B Schwartz, Y Sharma, P Fernandes, J Jablonski, S Adewole, ... ArXiv, 2023 | | 2023 |
| 1092: HISTOPATHOLOGIC IMAGE ANALYSIS CAN PREDICT ANTI-TNF RESPONSE IN PEDIATRIC CROHN'S DISEASE PATIENTS USING MACHINE LEARNING MODELS E May, R Sali, P Fernandes, F Zulqarnain, A Javaid, H Mani, SK Hourigan, ... Gastroenterology 162 (7), S-256, 2022 | | 2022 |
| Su518 DEEP LEARNING ANALYSIS OF TISSUE EOSINOPHILIA MAY PREDICT TIME TO INITIATE BIOLOGIC THERAPY IN CHILDREN WITH ULCERATIVE COLITIS A Javaid, W Adorno, P Fernandes, E May, SS Raghavan, CA Moskaluk, ... Gastroenterology 160 (6), S-723, 2021 | | 2021 |
| Bayesian Deep Learning With Capsule Endoscopy J Jablonski, P Fernandes, S Adewole, D Brown, S Syed, M Porter | | 2021 |
| IDENTIFYING RELEVANT PATHWAYS AND BIOMARKERS IN CROHN’S DISEASE USING CONTEXTUALIZED METABOLIC NETWORK MODEL B McGrew, A Shrivastava, P Fernandes, L Ehsan, Y Sharma, D Payne, ... Inflammatory Bowel Diseases 27 (Supplement_1), S9-S10, 2021 | | 2021 |
| Integrative–‘Omics and Machine-Learning-Based Image Analyses of Environmental Enteric Dysfunction Reveal an Immunologic and Metabolic Pathogenesis of Intestinal Failure F Zulqarnain, X Zhao, K Setchell, Y Sharma, P Fernandes, A Srivastava, ... | | |
