Work

Deep learning-based biological age estimation from magnetic resonance imaging predicts cardiometabolic outcomes in the general population

Year: 2025

Type: conference-paper

Study design: Observational Study

Source: Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

DOI: 10.58530/2025/0990

Authors: Matthias Jung, Marco Reisert, Susanne Rospleszcz, Christopher Schlett, Michael Lu, Fabian Bamberg, Vineet Raghu, Jakob Weiss

Language: English

Topic: Body Composition Measurement Techniques

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4414237445

FWCI:

Cites:

Cited by:

Related to: