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Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models.

, , and . MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 727-734. Springer, (2013)

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P-Count: Persistence-based Counting of White Matter Hyperintensities in Brain MRI., , , , , and . CoRR, (2024)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)An automatically generated texture-based atlas of the lungs., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105753A. SPIE, (2018)PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI., , , , and . CoRR, (2024)Evaluating the influence of anatomical accuracy and electrode positions on EEG forward solutions., , , , and . NeuroImage, (August 2023)Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model., , , , and . MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 448-458. Springer, (2022)Registration by Regression (RbR): a framework for interpretable and flexible atlas registration., , , , and . CoRR, (2024)An Ensemble of 2D Convolutional Neural Networks for Tumor Segmentation., , , and . SCIA, volume 9127 of Lecture Notes in Computer Science, page 201-211. Springer, (2015)A head template for computational dose modelling for transcranial focused ultrasound stimulation., , , , and . NeuroImage, (August 2023)