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Value and limitations of intracranial recordings for validating electric field modeling for transcranial brain stimulation., , , and . NeuroImage, (2020)SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining., , , , , , , and . Medical Image Anal., (May 2023)P-Count: Persistence-based Counting of White Matter Hyperintensities in Brain MRI., , , , , and . CoRR, (2024)A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning., , , , , , , , , and . CoRR, (2018)Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling., , , , , and . NeuroImage, (2020)SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution., , , , , , , and . CoRR, (2021)Computational Analysis of Brain Images: Towards a Useful Tool in Clinical Practice.. Technical University of Denmark, (2016)Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape., , , , and . Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 168-180. Springer, (2015)PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI., , , , and . CoRR, (2024)An automatically generated texture-based atlas of the lungs., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105753A. SPIE, (2018)