activity
20152023
most citedGigapixel Whole-Slide Images Classification using Locally Supervised Learning

20 citations · 49 across the 13 of their papers we have counts for

collaborators

13 papers

eess.IV2023★ 2 cited

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…

eess.SP2023

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…

cond-mat.mtrl-sci2023

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…

cs.CV2023

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…

astro-ph.GA2023

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…

cs.CV2022

Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology

Jingwei Zhang, Saarthak Kapse, Ke Ma +4

Dense prediction tasks such as segmentation and detection of pathological entities hold crucial clinical value in computational pathology workflows. However, obtaining dense annota…

math.OC2022★ 1 cited

Optimal, centralized dynamic curbside parking space zoning

Nawaf Nazir, Shushman Choudhury, Stephen Zoepf +2

In this paper we formulate a dynamic mixed integer program for optimally zoning curbside parking spaces subject to transportation policy-inspired constraints and regularization ter…

cs.CV2022★ 20 cited

Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Jingwei Zhang, Xin Zhang, Ke Ma +4

Histopathology whole slide images (WSIs) play a very important role in clinical studies and serve as the gold standard for many cancer diagnoses. However, generating automatic tool…

eess.IV2022★ 5 cited

Visual attention analysis of pathologists examining whole slide images of Prostate cancer

Souradeep Chakraborty, Ke Ma, Rajarsi Gupta +4

We study the attention of pathologists as they examine whole-slide images (WSIs) of prostate cancer tissue using a digital microscope. To the best of our knowledge, our study is th…

eess.SY2019★ 17 cited

Incentive Compatibility in Stochastic Dynamic Systems

Ke Ma, P. R. Kumar

While the classic Vickrey-Clarke-Groves mechanism ensures incentive compatibility for a static one-shot game, it does not appear to be feasible to construct a dominant truth-tellin…

eess.SY2018

Towards Provably Safe Mixed Transportation Systems with Human-driven and Automated Vehicles

Xi Liu, Ke Ma, P. R. Kumar

Currently, we are in an environment where the fraction of automated vehicles is negligibly small. We anticipate that this fraction will increase in coming decades before if ever, w…

eess.SY2018

The Strategic LQG System: A Dynamic Stochastic VCG Framework for Optimal Coordination

Ke Ma, P. R. Kumar

The classic Vickrey-Clarke-Groves (VCG) mechanism ensures incentive compatibility, i.e., that truth-telling of all agents is a dominant strategy, for a static one-shot game. Howeve…

eess.SY2015★ 4 cited

A Theory for the Operation of the Independent System Operator in a Smart Grid with Stochastic Renewables, Demand Response and Storage

Rahul Singh, Ke Ma, Anupam Thatte +2

In this paper, we address a key issue of designing architectures and algorithms which generate optimal demand response in a decentralized manner for a smart-grid consisting of seve…