Skip to main content
2025 SCMR Conference Main banner
Final Program


Schedule at a Glance
Back

Qiang Zhang, PhD, FSCMR

Associate Professor of AI in Cardiovascular Imaging
University of Oxford, United Kingdom

[new] I am starting a Deep Learning Group at the Division of Cardiovascular Medicine, University of Oxford. I will actively recruit post-doctoral researchers and DPhil (PhD) students working on machine learning for cardiac imaging; funding is available. *Contact me for more information.

I am a deep-learning scientist, with cross-domain knowledge of cardiovascular disease, MR physics and scan protocols. My research programme focuses on (i) advancing cardiac imaging and (ii) enriching clinical research, with AI:

(i) Advancing cardiovascular MRI with Generative AI. A representative work is Virtual Native Enhancement (VNE) imaging, where we developed AI techniques that could serve as "virtual contrast" in enhancing MR images, without the need for contrast injections. This may lead to more informative, needle-free, faster and safer heart MR scans.

(ii) Developing automated image processing pipeline for cardiac imaging big data, and AI-enhanced cardiac biomarkers to drive new discoveries in clinical research.

Presentation(s):

Email Qiang