Uncertainty-Guided Active Learning for Access Route Segmentation and Planning in Transcatheter Aortic Valve Implantation
Published in ISMRM Annual Meeting 2026, Cape Town — Digital Poster, Congenital Heart Disease, Valves, and Vessels, 2026
Digital poster abstract (#05614) presented at the ISMRM Annual Meeting 2026 in Cape Town, on an annotation-efficient CMR-based pipeline for aorto-iliac segmentation and TAVI access route quantification.
Authors: Enrique Almar-Muñoz, Mahdi Islam, Musarrat Tabassum, Christian Kremser, Markus Haltmeier, Agnes Mayr
Venue: ISMRM Annual Meeting 2026, Cape Town — Digital Poster, Congenital Heart Disease, Valves, and Vessels
Recommended citation: Enrique Almar-Muñoz, Mahdi Islam, Musarrat Tabassum, Christian Kremser, Markus Haltmeier, Agnes Mayr. "Uncertainty-Guided Active Learning for Access Route Segmentation and Planning in Transcatheter Aortic Valve Implantation." ISMRM Annual Meeting 2026, Cape Town, Abstract #05614.
Recommended citation: Enrique Almar-Muñoz, Mahdi Islam, Musarrat Tabassum, Christian Kremser, Markus Haltmeier, Agnes Mayr. "Uncertainty-Guided Active Learning for Access Route Segmentation and Planning in Transcatheter Aortic Valve Implantation." ISMRM Annual Meeting 2026, Cape Town, Abstract #05614.