- Title: Subtitle
- 2193 Insights to patophysiology and risk factors of cardiac allograft vasculopathy: A prospective study using highly automated coronary optical coherence tomography segmentation software in 3D
- Creators
- M. Pazdernik - Institute of Clinical and Experimental MedicineH. Bedanova - CKTCH, Brno, Czech RepublicJ. Kautzner - Institute of Clinical and Experimental MedicineV. Melenovsky - Institute of Clinical and Experimental MedicineV. Karmazin - Institute of Clinical and Experimental MedicineA. Tomasek - CKTCH, Brno, Czech RepublicT. Kovarnik - Institute of Clinical and Experimental MedicineI. Malek - Institute of Clinical and Experimental MedicineA. Wahle - University of IowaZ. Chen - University of IowaM. Sonka - University of Iowa
- Resource Type
- Abstract
- Publication Details
- European heart journal, Vol.38(suppl_1)
- DOI
- 10.1093/eurheartj/ehx502.2193
- ISSN
- 0195-668X
- eISSN
- 1522-9645
- Language
- English
- Date published
- 08/01/2017
- 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
- 9984462631502771
Abstract
2193 Insights to patophysiology and risk factors of cardiac allograft vasculopathy: A prospective study using highly automated coronary optical coherence tomography segmentation software in 3D
European heart journal, Vol.38(suppl_1)
08/01/2017
DOI: 10.1093/eurheartj/ehx502.2193
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