Sivananthan, Akash;
S M, Thamil Kumaran;
Tanboga, Ibrahim Halil;
Mohammed, Amear;
Ramasamy, Anantharaman;
S Kalogeropoulos, Andreas;
Ozkor, Mick;
... Bourantas, Christos V; + view all
(2025)
Deep-learning analysis of computed tomography coronary angiography data enables more accurate computation of the shear stress distribution than conventional analysis by experts: A head-to-head comparison with near-infrared spectroscopy-intravascular ultrasound-based modelling.
Journal of Cardiovascular Computed Tomography
10.1016/j.jcct.2025.10.002.
(In press).
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| Type: | Article |
|---|---|
| Title: | Deep-learning analysis of computed tomography coronary angiography data enables more accurate computation of the shear stress distribution than conventional analysis by experts: A head-to-head comparison with near-infrared spectroscopy-intravascular ultrasound-based modelling |
| Location: | United States |
| DOI: | 10.1016/j.jcct.2025.10.002 |
| Publisher version: | https://doi.org/10.1016/j.jcct.2025.10.002 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10219202 |
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