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Integration of patient specific modeling and advanced image processing techniques for image-guided neurosurgery., , , , , , and . Medical Imaging: Image-Guided Procedures, volume 6141 of SPIE Proceedings, page 61411E. SPIE, (2006)Application of open-source computational tools to focal laser ablation of the prostate., , , , and . Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 109511S. SPIE, (2019)Towards Exascale Parallel Delaunay Mesh Generation., , , , , and . IMR, page 319-336. Springer, (2009)Towards Patient-Individual PI-Rads v2 Sector Map: Cnn for Automatic Segmentation of Prostatic Zones From T2-Weighted MRI., , , , , , and . ISBI, page 696-700. IEEE, (2019)Real-Time Non-rigid Registration of Medical Images on a Cooperative Parallel Architecture., , , and . BIBM, page 401-404. IEEE Computer Society, (2009)An ITK implementation of a physics-based non-rigid registration method for brain deformation in image-guided neurosurgery., , , , , , , and . Frontiers Neuroinformatics, (2014)Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology., , , , , , , , and . CoRR, (2021)Non-Rigid Registration for brain MRI: faster and cheaper., , , and . I. J. Functional Informatics and Personalised Medicine, 3 (1): 48-57 (2010)Large Scale Cloud-Based Deformable Registration for Image Guided Therapy., , , , , and . CHASE, page 67-72. IEEE Computer Society, (2016)Workflow assessment of 3T MRI-guided transperineal targeted prostate biopsy using a robotic needle guidance., , , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 9036 of SPIE Proceedings, page 903612. SPIE, (2014)