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Modeling Atrial Fiber Orientation in Patient-Specific Geometries: A Semi-automatic Rule-Based Approach.

, , , , , , , , , , , , , , , and . FIMH, volume 6666 of Lecture Notes in Computer Science, page 223-232. Springer, (2011)

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Physical and digital phantoms for validating tractography and assessing artifacts., , , and . NeuroImage, (2021)Automatic Segmentation of Cardiac CTs - Personalized Atrial Models Augmented with Electrophysiological Structures., , , , , , and . FIMH, volume 6666 of Lecture Notes in Computer Science, page 80-87. Springer, (2011)Modeling Atrial Fiber Orientation in Patient-Specific Geometries: A Semi-automatic Rule-Based Approach., , , , , , , , , and 6 other author(s). FIMH, volume 6666 of Lecture Notes in Computer Science, page 223-232. Springer, (2011)Brain atrophy in long-term abstinent alcoholics who demonstrate impairment on a simulated gambling task., , , , , , and . NeuroImage, 32 (3): 1465-1471 (2006)Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives., , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 20-27. Springer, (2018)TractSeg - Fast and accurate white matter tract segmentation., , and . CoRR, (2018)Combined tract segmentation and orientation mapping for bundle-specific tractography., , , and . Medical Image Analysis, (2019)Abstract: Tract Orientation Mapping for Bundle-Specific Tractography., , and . Bildverarbeitung für die Medizin, page 30. Springer Vieweg, (2019)Fiber tractography using machine learning., , , , and . NeuroImage, (2017)Strengths and weaknesses of state of the art fiber tractography pipelines - A comprehensive in-vivo and phantom evaluation study using Tractometer., , , , and . Medical Image Analysis, 26 (1): 287-305 (2015)