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Pectus excavatum postsurgical outcome based on preoperative soft body dynamics simulation., , , , , , and . Medical Imaging: Image-Guided Procedures, volume 8316 of SPIE Proceedings, page 83160K. SPIE, (2012)Fast left ventricle tracking in CMR images using localized anatomical affine optical flow., , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 941306. SPIE, (2015)Aortic Valve Tract Segmentation From 3D-TEE Using Shape-Based B-Spline Explicit Active Surfaces., , , , , , , and . IEEE Trans. Medical Imaging, 35 (9): 2015-2025 (2016)Fast automatic myocardial segmentation in 4D cine CMR datasets., , , , , , , and . Medical Image Anal., 18 (7): 1115-1131 (2014)CholecTriplet2021: A benchmark challenge for surgical action triplet recognition., , , , , , , , , and 52 other author(s). CoRR, (2022)Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation., , , , , , , , , and . CoRR, (2024)Fully Automatic 3-D-TEE Segmentation for the Planning of Transcatheter Aortic Valve Implantation., , , , , , , and . IEEE Trans. Biomed. Eng., 64 (8): 1711-1720 (2017)Remote Monitoring System of Dynamic Compression Bracing to Correct Pectus Carinatum., , , , and . Sensors, 23 (9): 4427 (2023)Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery., , , , , , and . EMBC, page 3502-3505. IEEE, (2022)CycleGAN-Based Image to Image Translation for Realistic Surgical Training Phantoms., , , , , , , and . EMBC, page 1-4. IEEE, (2023)