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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)Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation., , , , , , , , , and . CoRR, (2024)CycleGAN-Based Image to Image Translation for Realistic Surgical Training Phantoms., , , , , , , and . EMBC, page 1-4. IEEE, (2023)Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery., , , , , , and . EMBC, page 3502-3505. IEEE, (2022)Automatic Denavit-Hartenberg Parameter Identification for Serial Manipulators., , , , and . IECON, page 610-617. IEEE, (2019)Virtual simulation of the postsurgical cosmetic outcome in patients with Pectus Excavatum., , , , , , and . Medical Imaging: Image-Guided Procedures, volume 7964 of SPIE Proceedings, page 79642L. SPIE, (2011)Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior., , , , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491F. SPIE, (2019)A deep learning method for kidney segmentation in 2D ultrasound images., , , , , , , , , and . EMBC, page 3911-3914. IEEE, (2022)Classification of Chronic Venous Disorders using an Ensemble Optimization of Convolutional Neural Networks., , , , , and . EMBC, page 516-519. IEEE, (2022)