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Mitral Valve Quantification at a Glance - Flattening Patient-Specific Valve Geometry.

, , , , , , , and . Bildverarbeitung für die Medizin, page 296-301. Springer Vieweg, (2019)

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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)Mitral Valve Quantification at a Glance - Flattening Patient-Specific Valve Geometry., , , , , , , and . Bildverarbeitung für die Medizin, page 296-301. Springer Vieweg, (2019)Flexible and Comprehensive Patient-Specific Mitral Valve Silicone Models with Chordae Tendinae Made From 3D-Printable Molds., , , , , and . CoRR, (2019)Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements., , , , , , , , , and . Bildverarbeitung für die Medizin, page 160-165. Springer, (2022)Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks., , , , , , , and . Bildverarbeitung für die Medizin, page 22-27. Springer, (2021)Accuracy evaluation of a mitral valve surgery assistance system based on optical tracking., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (10): 1891-1904 (2016)Abstract: Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training., , , , and . Bildverarbeitung für die Medizin, page 341. Springer, (2020)Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries., , , , and . Bildverarbeitung für die Medizin, page 282. Springer Vieweg, (2019)Neue dreidimensionale diagnostische Verfahren in der Herzchirurgie., , , , , , , and . Rechner- und sensorgestützte Chirurgie, volume P-4 of LNI, page 298-305. GI, (2001)Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training., , , , and . MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 155-163. Springer, (2019)