- Title: Subtitle
- (249) - Detecting Early Cardiac Allograft Vasculopathy Using Highly Automated 3D Coronary Optical Coherence Tomography Segmentation Analysis
- Creators
- M. Pazdernik - Institute of Clinical and Experimental MedicineZ. Chen - University of IowaH. Bedanova - Centrum kardiovaskulární a transplantační chirurgieJ. Kautzner - Institute of Clinical and Experimental MedicineV. Melenovsky - Institute of Clinical and Experimental MedicineV. Karmazin - Institute of Clinical and Experimental MedicineI. Malek - Institute of Clinical and Experimental MedicineA. Tomasek - Centrum kardiovaskulární a transplantační chirurgieE. Ozabalova - Centrum kardiovaskulární a transplantační chirurgieJ. Krejci - Masaryk UniversityJ. Franekova - Institute of Clinical and Experimental MedicineA. Wahle - University of IowaH. Zhang - University of IowaT. Kovarnik - General University Hospital in PragueM. Sonka - University of Iowa
- Resource Type
- Abstract
- Publication Details
- The Journal of heart and lung transplantation, Vol.37(4), pp.S105-S106
- DOI
- 10.1016/j.healun.2018.01.252
- ISSN
- 1053-2498
- eISSN
- 1557-3117
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 04/2018
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984462632602771
Abstract
(249) - Detecting Early Cardiac Allograft Vasculopathy Using Highly Automated 3D Coronary Optical Coherence Tomography Segmentation Analysis
The Journal of heart and lung transplantation, Vol.37(4), pp.S105-S106
04/2018
DOI: 10.1016/j.healun.2018.01.252
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