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Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions., , , , , , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 540-550. Springer, (2020)3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 10 (6): 891-900 (2015)A diffusion-based connectivity map of the GPi for optimised stereotactic targeting in DBS., , , , , , and . NeuroImage, (2017)Persistent horizontal and vertical, MR-induced nystagmus in resting state Human Connectome Project data., , , , , , , , and . NeuroImage, (2022)Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations., , , , , , , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 111-118. Springer, (2015)Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks., , , , , , , , and . ICCV Workshops, page 1526-1535. IEEE Computer Society, (2017)Rigid US-MRI Registration Through Segmentation of Equivalent Anatomic Structures - A Feasibility Study using 3D Transcranial Ultrasound of the Midbrain., , , , and . Bildverarbeitung für die Medizin, page 410-415. Springer, (2012)Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound., , , , , , , , , and 1 other author(s). CoRR, (2016)Frangi Goes US : Multiscale Tubular Structure Detection Adapted to 3D Ultrasound., , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 625-633. Springer, (2012)Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound., , , , , , , , , and 1 other author(s). Comput. Vis. Image Underst., (2017)