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Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.

, , , , , , , , and . MICCAI (8), volume 14227 of Lecture Notes in Computer Science, page 226-236. Springer, (2023)

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clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation., , , , , , , , and . CoRR, (2020)Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)., , , , , , , , , and 2 other author(s). CoRR, (2021)The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference., , , , , , , , , and 5 other author(s). CoRR, (2021)Link Prediction for Flow-Driven Spatial Networks., , , , and . CoRR, (2023)Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient., , , , , , , , , and 6 other author(s). CoRR, (2021)SoK: Differential Privacy on Graph-Structured Data., , , , and . CoRR, (2022)FedPIDAvg: A PID Controller Inspired Aggregation Method for Federated Learning., , , and . BrainLes@MICCAI (2), volume 14092 of Lecture Notes in Computer Science, page 209-217. Springer, (2022)DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis., , , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 795-803. Springer, (2019)Whole Brain Vasculature Analysis Using Advanced Learning Models (Fortgeschrittene Machine Learning Konzepte für die Analyse der Blutgefäße des Hirns). Technical University of Munich, Germany, (2023)A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information., , , , , , , , and . BrainLes@MICCAI (1), volume 11992 of Lecture Notes in Computer Science, page 254-261. Springer, (2019)