1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Case Western Reserve UniversityUS5 papers
- California University of PennsylvaniaUS1 paper
- Center for Devices and Radiological HealthUS1 paper
- Centre Hospitalier Universitaire VaudoisCH1 paper
- Cleveland ClinicUS1 paper
- Cleveland FoundationUS1 paper
- Cleveland Research (United States)US1 paper
- Emory UniversityUS1 paper
- GZA Ziekenhuizen Campus Sint-AugustinusBE1 paper
- Harvard UniversityUS1 paper
- Institute of Computing TechnologyCN1 paper
- Institut Jules BordetBE1 paper
6 papers
Enhancing Activity Recognition After Stroke: Generative Adversarial Networks for Kinematic Data Augmentation
Aaron J. Hadley, Christopher L. Pulliam
The generalizability of machine learning (ML) models for wearable monitoring in stroke rehabilitation is often constrained by the limited scale and heterogeneity of available data.…
Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers
Nathaniel Braman, Prateek Prasanna, Kaustav Bera +14
Purpose: Tumor-associated vasculature differs from healthy blood vessels by its chaotic architecture and twistedness, which promotes treatment resistance. Measurable differences in…
Quick Annotator: an open-source digital pathology based rapid image annotation tool
Runtian Miao, Robert Toth, Yu Zhou +2
Image based biomarker discovery typically requires an accurate segmentation of histologic structures (e.g., cell nuclei, tubules, epithelial regions) in digital pathology Whole Sli…
A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study
Sarah N Dudgeon, Si Wen, Matthew G Hanna +19
Purpose: In this work, we present a collaboration to create a validation dataset of pathologist annotations for algorithms that process whole slide images (WSIs). We focus on data…
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos +6
Since its renaissance, deep learning has been widely used in various medical imaging tasks and has achieved remarkable success in many medical imaging applications, thereby propell…
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data
Amir Reza Sadri, Andrew Janowczyk, Ren Zou +6
We sought to develop a quantitative tool to quickly determine relative differences in MRI volumes both within and between large MR imaging cohorts (such as available in The Cancer…