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Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images., , , , , and . ICPR, page 3298-3303. IEEE, (2014)Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks., , , , , , , , , and . IEEE Trans. Med. Imaging, 37 (8): 1822-1834 (2018)Modelling Prostate Gland Motion for Image-Guided Interventions., , , , , , , , and . ISBMS, volume 5104 of Lecture Notes in Computer Science, page 79-88. Springer, (2008)Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 10 (11): 1873-1891 (2015)Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (6): 875-883 (2018)Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration., , , , , and . Medical Image Analysis, 26 (1): 332-344 (2015)MR to ultrasound registration for image-guided prostate interventions., , , , , , and . Medical Image Analysis, 16 (3): 687-703 (2012)Conditional Segmentation in Lieu of Image Registration., , , , , and . CoRR, (2019)A Statistical Motion Model Based on Biomechanical Simulations for Data Fusion during Image-Guided Prostate Interventions., , , , , , , , and . MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 737-744. Springer, (2008)Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks., , , , , , , and . MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 368-376. Springer, (2017)