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Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung - Segmentierung per Abstimmung.

, , , , , , and . Bildverarbeitung für die Medizin, page 56-61. Springer, (2016)

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Segmentation of the Left Atrium from 3D Gadolinium-Enhanced MR Images with Convolutional Neural Networks., , , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 265-272. Springer, (2018)Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries., , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 747-755. Springer, (2018)Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis., , and . CoRR, (2024)Interactive visual exploration of surgical process data., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 18 (1): 127-137 (January 2023)Mitral Valve Quantification at a Glance - Flattening Patient-Specific Valve Geometry., , , , , , , and . Bildverarbeitung für die Medizin, page 296-301. Springer Vieweg, (2019)How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalise to rare congenital heart diseases for surgical planning?, , , , , , , , , and . CoRR, (2020)Multimodal visualizations for pre-operative neurosurgical planning., , and . GI-Jahrestagung, volume P-192 of LNI, page 438. GI, (2011)How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalize to rare congenital heart diseases for surgical planning?, , , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 11315 of SPIE Proceedings, page 113151K. SPIE, (2020)Comparison of Evaluation Metrics for Landmark Detection in CMR Images., , , , , , , , and . Bildverarbeitung für die Medizin, page 198-203. Springer, (2022)A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging., , , , , , , , , and 34 other author(s). CoRR, (2020)