Work

Super-Resolution MR Spectroscopic Imaging via Diffusion Models for Tumor Metabolism Mapping

Year: 2025

Type: article

Source: Journal of Imaging Informatics in Medicine

DOI: 10.1007/s10278-025-01652-x

Authors: Mohammed Alsubaie, Sirani M. Perera, Linxia Gu, Sean B. Subasi, Ovidiu C. Andronesi, Xianqi Li

Institutions: Taif University, Florida Institute of Technology, Embry-Riddle Aeronautical University Daytona Beach Florida Campus, Embry–Riddle Aeronautical University, University of Florida, Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, National Cancer Institute

Awards: Collaborative Research: Data-driven Realization of State-space Dynamical Systems via Low-complexity Algorithms, Collaborative Research: Data-driven Realization of State-space Dynamical Systems via Low-complexity Algorithms, Development of multinuclear MRI for image guided therapy of glioma patients, Development of next generation 2HG and metabolic MR imaging for precision oncology of mutant IDH and wildtype glioma patients

OpenAlex ID: W4413926370

FWCI:

Cites: 31

Cited by:

Related to: 10