IntraCross: Cross-modality graph matching for intravascular sequence registration.

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Bibliographic Details
Title: IntraCross: Cross-modality graph matching for intravascular sequence registration.
Authors: Bransby KM; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK; Digital Environment Research Institute, Queen Mary University of London, London, UK., He X; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK; Department of Cardiology, Barts Health NHS Trust, London, UK; Division of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan, Wuhan, China., Bourantas CV; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK; Department of Cardiology, Barts Health NHS Trust, London, UK., Ulutas AE; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK; Department of Cardiology, Barts Health NHS Trust, London, UK., Yap N; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK; Department of Cardiology, Barts Health NHS Trust, London, UK., Kakizaki R; Department of Cardiology, Bern University Hospital, Bern, Switzerland., Ueki Y; Department of Cardiology, Bern University Hospital, Bern, Switzerland., Häner J; Department of Cardiology, Bern University Hospital, Bern, Switzerland., Koskinas KC; Department of Cardiology, Bern University Hospital, Bern, Switzerland., Dijkstra J; Leiden University Medical Center, Leiden, the Netherlands., Slabaugh G; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK; Digital Environment Research Institute, Queen Mary University of London, London, UK., Räber L; Department of Cardiology, Bern University Hospital, Bern, Switzerland., Zhang Q; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK; Digital Environment Research Institute, Queen Mary University of London, London, UK. Electronic address: qianni.zhang@qmul.ac.uk.
Source: Computers in biology and medicine [Comput Biol Med] 2026 Apr 01; Vol. 205, pp. 111566. Date of Electronic Publication: 2026 Feb 24.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2026.111566