20 citations · 49 across the 13 of their papers we have counts for
5 papers · 1 filter
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology
Jingwei Zhang, Ke Ma, Saarthak Kapse +4
Semantic segmentations of pathological entities have crucial clinical value in computational pathology workflows. Foundation models, such as the Segment Anything Model (SAM), have…
An Ensemble Learning Approach for Exercise Detection in Type 1 Diabetes Patients
Ke Ma, Hongkai Chen, Shan Lin
Type 1 diabetes is a serious disease in which individuals are unable to regulate their blood glucose levels, leading to various medical complications. Artificial pancreas (AP) syst…
Elucidating the Mechanism of Large Phosphate Molecule Intercalation Through Graphene Heterointerfaces
Jiayun Liang, Ke Ma, Xiao Zhao +19
Intercalation is a process of inserting chemical species into the heterointerfaces of two-dimensional (2D) layered materials. While much research has focused on intercalating metal…
Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning
Jingwei Zhang, Saarthak Kapse, Ke Ma +4
Whole slide image (WSI) classification is a critical task in computational pathology, requiring the processing of gigapixel-sized images, which is challenging for current deep-lear…
MAMMOTH-Subaru IV. Large Scale Structure and Clustering Analysis of Ly Emitters and Ly Blobs at
Haibin Zhang, Zheng Cai, Mingyu Li +10
We report the large scale structure and clustering analysis of Ly emitters (LAEs) and Ly blobs (LABs) at . Using 3,341 LAEs, 117 LABs, and 58 bright (Ly luminos…