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
Year: 2025
Type: article
Authors: Akash Sivananthan, Thamil Kumaran S.M., Ibrahim Halil Tanboga, Amear Mohammed, Anantharaman Ramasamy, Andreas S. Kalogeropoulos, Mick Ozkor, Gonul Zeren, Nathan A.L. Yap, Xingwei He, Patrick Serruys, James C. Moon, Anthony Mathur, Alexander Broersen, Pieter Kitslaar, Xiaotong Zhang, Johan H.C. Reiber, Jouke Dijkstra, Francesca Pugliese, Andreas Baumbach, Ryo Torii, Christos V. Bourantas
Institutions: Queen Mary University of London, William Harvey Research Institute, İstanbul Nişantaşı Üniversitesi, University College London, Barts Health NHS Trust, Mitera Hospital, Tongji Hospital, Huazhong University of Science and Technology, Ollscoil na Gaillimhe – University of Galway, Imperial College London, Leiden University Medical Center
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W4415224031