Work

DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative

Year: 2022

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2021.102343

Authors: Chao Huang, Zhenlin Xu, Zhengyang Shen, Tianyou Luo, Tengfei Li, Daniel Nissman, Amanda Nelson, Yvonne Golightly, Marc Niethammer, Hongtu Zhu

Institutions: Florida State University, University of North Carolina at Chapel Hill

Language: English

Topic: Osteoarthritis Treatment and Mechanisms

Subfield: Rheumatology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, National Institute of Mental Health, National Institute of Arthritis and Musculoskeletal and Skin Diseases

Awards: Analysis of Big Data Squared in Biomedical Studies, Large-scale automatic analysis of the OAI magnetic resonance image dataset, CDS&E: Geometrical Regression Models Involving Complex Shape Variables, Statistical Analysis of Biomedical Imaging Data in Curved Space

OpenAlex ID: W4205170763

FWCI: 3.824

Cites: 92

Cited by: 23

Related to: 10