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A generative model of hyperelastic strain energy density functions for multiple tissue brain deformation., , , , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 16 (1): 141-150 (2021)A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Simulation of Brain Tissue Deformation., , , , , , , и . MICCAI (5), том 11768 из Lecture Notes in Computer Science, стр. 218-226. Springer, (2019)Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery., , , , , , , , , и . ISBI, стр. 674-677. IEEE, (2020)Anatomy-driven multiple trajectory planning (ADMTP) of intracranial electrodes for epilepsy surgery., , , , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 12 (8): 1245-1255 (2017)A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery., , , , , , , , , и 1 other автор(ы). MICCAI (4), том 11073 из Lecture Notes in Computer Science, стр. 238-246. Springer, (2018)Using convolution neural networks to learn enhanced fiber orientation distribution models from commercially available diffusion magnetic resonance imaging., , , , , , и . CoRR, (2020)Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning., , , , , , , , , и 1 other автор(ы). Int. J. Comput. Assist. Radiol. Surg., 16 (5): 789-798 (2021)Enhancing the estimation of fiber orientation distributions using convolutional neural networks., , , , , , и . Comput. Biol. Medicine, (2021)Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder., , , , , , и . SASHIMI@MICCAI, том 13570 из Lecture Notes in Computer Science, стр. 101-111. Springer, (2022)Clinical applications of magnetic resonance imaging based functional and structural connectivity., , , , , , , , , и 4 other автор(ы). NeuroImage, (2021)