Contact information

Research Groups

PHA+PGEgZGF0YS1tY2UtaHJlZj0iLi4vLi4vYWJvdXQvb3VyLWRpdmlzaW9ucy9kaXZpc2lvbi1v Zi1jYXJkaW92YXNjdWxhci1tZWRpY2luZS9yZXNlYXJjaC1pbi1DVi1NZWQvcGllY2huaWstZ3Jv dXAtbXlvY2FyZGlhbC1mdW5jdGlvbmFsLXQxLW1hcHBpbmctMjAxMy1hZHZhbmNlZC1jYXJkaWFj LW1hZ25ldGljLXJlc29uYW5jZS1pbWFnaW5nLXRlY2huaXF1ZXMiIGhyZWY9Imh0dHBzOi8vd3d3 LnJkbS5veC5hYy51ay9hYm91dC9vdXItZGl2aXNpb25zL2RpdmlzaW9uLW9mLWNhcmRpb3Zhc2N1 bGFyLW1lZGljaW5lL3Jlc2VhcmNoLWluLUNWLU1lZC9waWVjaG5pay1ncm91cC1teW9jYXJkaWFs LWZ1bmN0aW9uYWwtdDEtbWFwcGluZy0yMDEzLWFkdmFuY2VkLWNhcmRpYWMtbWFnbmV0aWMtcmVz b25hbmNlLWltYWdpbmctdGVjaG5pcXVlcyIgdGl0bGU9IlBpZWNobmlrIEdyb3VwOiBNeW9jYXJk aWFsIGZ1bmN0aW9uYWwgVDEgbWFwcGluZyDigJMgQWR2YW5jZWQgY2FyZGlhYyBtYWduZXRpYyBy ZXNvbmFuY2UgaW1hZ2luZyB0ZWNobmlxdWVzIj48c3Bhbj48L3NwYW4+PC9hPjxhIGRhdGEtbWNl LWhyZWY9Ii4uLy4uL2Fib3V0L291ci1kaXZpc2lvbnMvZGl2aXNpb24tb2YtY2FyZGlvdmFzY3Vs YXItbWVkaWNpbmUvcmVzZWFyY2gtaW4tQ1YtTWVkL3poYW5nLWdyb3VwLWFydGlmaWNpYWwtaW50 ZWxsaWdlbmNlLWluLWNhcmRpb3Zhc2N1bGFyLWltYWdpbmciIGhyZWY9Imh0dHBzOi8vd3d3LnJk bS5veC5hYy51ay9hYm91dC9vdXItZGl2aXNpb25zL2RpdmlzaW9uLW9mLWNhcmRpb3Zhc2N1bGFy LW1lZGljaW5lL3Jlc2VhcmNoLWluLUNWLU1lZC96aGFuZy1ncm91cC1hcnRpZmljaWFsLWludGVs bGlnZW5jZS1pbi1jYXJkaW92YXNjdWxhci1pbWFnaW5nIiB0aXRsZT0iWmhhbmcgR3JvdXA6IEFy dGlmaWNpYWwgSW50ZWxsaWdlbmNlIGluIENhcmRpb3Zhc2N1bGFyIE1lZGljaW5lIj48c3Bhbj5a aGFuZyBHcm91cDogQXJ0aWZpY2lhbCBJbnRlbGxpZ2VuY2UgaW4gQ2FyZGlvdmFzY3VsYXIgTWVk aWNpbmU8L3NwYW4+PC9hPjwvcD48cCBjbGFzcz0iICI+PHN1cD4mbmJzcDsmbmJzcDs8L3N1cD48 L3A+PHA+PGEgZGF0YS1tY2UtaHJlZj0iLi4vLi4vYWJvdXQvb3VyLWRpdmlzaW9ucy9kaXZpc2lv bi1vZi1jYXJkaW92YXNjdWxhci1tZWRpY2luZS9yZXNlYXJjaC1pbi1DVi1NZWQvcGllY2huaWst Z3JvdXAtbXlvY2FyZGlhbC1mdW5jdGlvbmFsLXQxLW1hcHBpbmctMjAxMy1hZHZhbmNlZC1jYXJk aWFjLW1hZ25ldGljLXJlc29uYW5jZS1pbWFnaW5nLXRlY2huaXF1ZXMiIGhyZWY9Imh0dHBzOi8v d3d3LnJkbS5veC5hYy51ay9hYm91dC9vdXItZGl2aXNpb25zL2RpdmlzaW9uLW9mLWNhcmRpb3Zh c2N1bGFyLW1lZGljaW5lL3Jlc2VhcmNoLWluLUNWLU1lZC9waWVjaG5pay1ncm91cC1teW9jYXJk aWFsLWZ1bmN0aW9uYWwtdDEtbWFwcGluZy0yMDEzLWFkdmFuY2VkLWNhcmRpYWMtbWFnbmV0aWMt cmVzb25hbmNlLWltYWdpbmctdGVjaG5pcXVlcyIgdGl0bGU9IlBpZWNobmlrIEdyb3VwOiBNeW9j YXJkaWFsIGZ1bmN0aW9uYWwgVDEgbWFwcGluZyDigJMgQWR2YW5jZWQgY2FyZGlhYyBtYWduZXRp YyByZXNvbmFuY2UgaW1hZ2luZyB0ZWNobmlxdWVzIj48c3Bhbj5QaWVjaG5payBHcm91cDogTXlv Y2FyZGlhbCBmdW5jdGlvbmFsIFQxIG1hcHBpbmcg4oCTIEFkdmFuY2VkIGNhcmRpYWMgbWFnbmV0 aWMgcmVzb25hbmNlIGltYWdpbmcgdGVjaG5pcXVlczwvc3Bhbj48L2E+PC9wPjxwPjxhIGRhdGEt bWNlLWhyZWY9Ii4uLy4uL2Fib3V0L291ci1kaXZpc2lvbnMvZGl2aXNpb24tb2YtY2FyZGlvdmFz Y3VsYXItbWVkaWNpbmUvcmVzZWFyY2gtaW4tQ1YtTWVkL3F1YW50aXRhdGl2ZS1jYXJkaWFjLW1h Z25ldGljLXJlc29uYW5jZS1jbXItbXlvY2FyZGlhbC10aXNzdWUtY2hhcmFjdGVyaXNhdGlvbi1m ZXJyZWlyYSIgaHJlZj0iaHR0cHM6Ly93d3cucmRtLm94LmFjLnVrL2Fib3V0L291ci1kaXZpc2lv bnMvZGl2aXNpb24tb2YtY2FyZGlvdmFzY3VsYXItbWVkaWNpbmUvcmVzZWFyY2gtaW4tQ1YtTWVk L3F1YW50aXRhdGl2ZS1jYXJkaWFjLW1hZ25ldGljLXJlc29uYW5jZS1jbXItbXlvY2FyZGlhbC10 aXNzdWUtY2hhcmFjdGVyaXNhdGlvbi1mZXJyZWlyYSIgdGl0bGU9IkZlcnJlaXJhIEdyb3VwOiBR dWFudGl0YXRpdmUgY2FyZGlhYyBtYWduZXRpYyByZXNvbmFuY2UgbXlvY2FyZGlhbCB0aXNzdWUg Y2hhcmFjdGVyaXNhdGlvbiI+PHNwYW4+RmVycmVpcmEgR3JvdXA6IFF1YW50aXRhdGl2ZSBjYXJk aWFjIG1hZ25ldGljIHJlc29uYW5jZSBteW9jYXJkaWFsIHRpc3N1ZSBjaGFyYWN0ZXJpc2F0aW9u PC9zcGFuPjwvYT48L3A+PHA+PGEgZGF0YS1tY2UtaHJlZj0iLi4vLi4vYWJvdXQvb3VyLWRpdmlz aW9ucy9kaXZpc2lvbi1vZi1jYXJkaW92YXNjdWxhci1tZWRpY2luZS9yZXNlYXJjaC1pbi1DVi1N ZWQvb3hmb3JkLWNlbnRyZS1mb3ItY2xpbmljYWwtbWFnbmV0aWMtcmVzb25hbmNlLXJlc2VhcmNo IiBocmVmPSJodHRwczovL3d3dy5yZG0ub3guYWMudWsvYWJvdXQvb3VyLWRpdmlzaW9ucy9kaXZp c2lvbi1vZi1jYXJkaW92YXNjdWxhci1tZWRpY2luZS9yZXNlYXJjaC1pbi1DVi1NZWQvb3hmb3Jk LWNlbnRyZS1mb3ItY2xpbmljYWwtbWFnbmV0aWMtcmVzb25hbmNlLXJlc2VhcmNoIiB0aXRsZT0i TmV1YmF1ZXIgR3JvdXA6IE94Zm9yZCBDZW50cmUgZm9yIENsaW5pY2FsIE1hZ25ldGljIFJlc29u YW5jZSBSZXNlYXJjaCI+PHNwYW4+TmV1YmF1ZXIgR3JvdXA6IE94Zm9yZCBDZW50cmUgZm9yIENs aW5pY2FsIE1hZ25ldGljIFJlc29uYW5jZSBSZXNlYXJjaDwvc3Bhbj48L2E+PC9wPjxwPjxzdXA+ PHNwYW4+Jm5ic3A7Jm5ic3A7PC9zcGFuPjwvc3VwPjwvcD48cD48YSBjbGFzcz0iZXh0ZXJuYWwt bGluayIgaHJlZj0iaHR0cHM6Ly93d3cuYmRpLm94LmFjLnVrL1RlYW0iIHN0eWxlPSIiIHRhcmdl dD0iX3NlbGYiIHRpdGxlPSIiIGRhdGEtbWNlLWhyZWY9Imh0dHBzOi8vd3d3LmJkaS5veC5hYy51 ay9UZWFtIiBkYXRhLW1jZS1zdHlsZT0iIj5CaWcgRGF0YSBJbnN0aXR1dGU8L2E+PC9wPg==

Colleges

Keble College

DPhil projects 2027

* DPhil opportunities for 2027 entry are availabe and will appear soon. Contact: Qiang.zhang@cardiov.ox.ac.uk

Qiang Zhang

PhD, FSCMR

Associate Professor of AI in Cardiovascular Imaging

British Heart Foundation Intermediate Fellowship
Deputy Lead, RDM AI and Medical Big Data CCRT

I am a machine learning scientist working on AI for cardiovascular imaging and population health, based at the Division of Cardiovascular Medicine and Big Data Institute.

My research programme focuses on two complementary areas:

(i) Advancing cardiovascular MRI with deep learning. 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 technology may lead to more informative, needle-free, faster and safer heart MR scans.

(ii) Studying cardiovascular and cardiometabolic disease through the lens of machine learning and large-scale medical and population data. The goal is to improve cardiovascular population health through AI-enhanced biomarkers and data-driven approaches for risk stratification, prediction and disease prevention.

In the press

• RDM News: "First real-world trial shows AI could reduce contrast injections ...", 15 Jul 2026
• The Sunday Times: "AI slashes cost of MRI scans ...", 1 Jan 2023
• Oxford University News: "How AI is shaping medical imaging", 20 Sep 2022
• RDM News: "SCMR Early Career Award" 8 Feb 2022
• BHF News: "AI breakthrough for faster, cheaper and injection-free heart scans", 9 Aug 2021
• The Telegraph: "New AI heart scanner will cut NHS backlog ...", 7 Aug 2021
• SCMR Newsletter, 29 Jul 2021
• OUH News: "AI replaces contrast dye for fast, cheaper ...", 8 Jul 2021
• RDM News "AI breakthrough for fast and cheaper CMR scans", 7 Jul 2021
• NIHR Oxford BRC News: "AI replaces contrast dyes for needle-free CMR", 7 Jul 2021

• BBC Radio 4 Today Interview, on how new AI technologies can help with NHS backlog, 9 Aug 2021
• Times Radio Interview, on AI and robotics in healthcare, 10 Aug 2021