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Surface-based 3D Deep Learning Framework for Segmentation of Intracranial Aneurysms from TOF-MRA Images., , , and . CoRR, (2020)Neurosurgical simulation by interactive computer graphics on iPad., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 9 (6): 1073-1078 (2014)Patients Simulator for Transsphenoidal Surgery., , , , , , , , , and 2 other author(s). MHS, page 1-2. IEEE, (2018)Label cleaning and propagation for improved segmentation performance using fully convolutional networks., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (3): 349-361 (2021)Real-time virtual brain aneurysm clipping surgery., , , and . VRST, page 56:1-56:2. ACM, (2018)GAuze-MIcrosuture-FICATION: Gamification in Microsuture training with real-time feedback., , , , , , and . AHs, page 15-26. ACM, (2023)Brain Surface Reconstruction from MRI Images based on Segmentation Networks Applying Signed Distance Maps., , , and . ISBI, page 1164-1168. IEEE, (2021)MR Microsurgical Suture Training System with Level-Appropriate Support., , , , , , and . CHI, page 460:1-460:19. ACM, (2024)A two-step surface-based 3D deep learning pipeline for segmentation of intracranial aneurysms., , , and . Comput. Vis. Media, 9 (1): 57-69 (2023)Improved segmentation of basal ganglia from MR images using convolutional neural network with crossover-typed skip connection., , , and . Int. J. Comput. Assist. Radiol. Surg., 19 (3): 433-442 (March 2024)