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Yash Sharma
Yash Sharma
Applied AI at Uber
Bestätigte E-Mail-Adresse bei virginia.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Cluster-to-conquer: A framework for end-to-end multi-instance learning for whole slide image classification
Y Sharma, A Shrivastava, L Ehsan, CA Moskaluk, S Syed, D Brown
Medical Imaging with Deep Learning, 682-698, 2021
1472021
HistoTransfer: Understanding Transfer Learning for Histopathology
Y Sharma, L Ehsan, S Syed, DE Brown
2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021
362021
Self-attentive adversarial stain normalization
A Shrivastava, W Adorno, Y Sharma, L Ehsan, SA Ali, SR Moore, B Amadi, ...
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
352021
Encoding cardiopulmonary exercise testing time series as images for classification using convolutional neural network
Y Sharma, N Coronato, DE Brown
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
172022
Mani: Maximizing mutual information for nuclei cross-domain unsupervised segmentation
Y Sharma, S Syed, DE Brown
International Conference on Medical Image Computing and Computer-Assisted …, 2022
132022
Distance from Healthcare Facilities Is Associated with Increased Morbidity of Acute Infection in Pediatric Patients in Matiari, Pakistan
E Corden, SH Siddiqui, Y Sharma, MF Raghib, W Adorno, F Zulqarnain, ...
International journal of environmental research and public health 18 (21), 11691, 2021
92021
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
82023
Functional data analysis for predicting pediatric failure to complete ten brief exercise bouts
N Coronato, DE Brown, Y Sharma, R Bar-Yoseph, S Radom-Aizik, ...
IEEE journal of biomedical and health informatics 26 (12), 5953-5963, 2022
42022
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
22022
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
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
N Moradinasab, Y Sharma, LS Shankman, GK Owens, DE Brown
Machine Learning for Healthcare Conference, 565-584, 2022
12022
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 preprint arXiv:2308.13035, 2023
2023
Functional data methods for predicting pediatric failure to complete ten brief exercise bouts
N Coronato, D Brown, Y Sharma, R Bar-Yoseph, S Radom-Aizik, ...
TechRxiv, 2022
2022
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, ...
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