65 citations · 129 across the 12 of their papers we have counts for
12 papers
The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning
Shan Guleria, Benjamin Schwartz, Yash Sharma +12
Introduction: Technical burdens and time-intensive review processes limit the practical utility of video capsule endoscopy (VCE). Artificial intelligence (AI) is poised to address…
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation
Yash Sharma, Sana Syed, Donald E. Brown
In this work, we propose a mutual information (MI) based unsupervised domain adaptation (UDA) method for the cross-domain nuclei segmentation. Nuclei vary substantially in structur…
Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos
Sodiq Adewole, Philip Fernandes, James Jablonski +4
Temporal activity localization in long videos is an important problem. The cost of obtaining frame level label for long Wireless Capsule Endoscopy (WCE) videos is prohibitive. In t…
Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos
Sodiq Adewole, Philip Fernandes, James Jablonski +4
Physicians use Capsule Endoscopy (CE) as a non-invasive and non-surgical procedure to examine the entire gastrointestinal (GI) tract for diseases and abnormalities. A single CE exa…
HistoTransfer: Understanding Transfer Learning for Histopathology
Yash Sharma, Lubaina Ehsan, Sana Syed +1
Advancement in digital pathology and artificial intelligence has enabled deep learning-based computer vision techniques for automated disease diagnosis and prognosis. However, WSIs…
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
Yash Sharma, Aman Shrivastava, Lubaina Ehsan +3
In recent years, the availability of digitized Whole Slide Images (WSIs) has enabled the use of deep learning-based computer vision techniques for automated disease diagnosis. Howe…