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FlowNet: Learning Optical Flow with Convolutional Networks, , , , , , , , and . (2015)cite arxiv:1504.06852Comment: Added supplementary material.Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods., , , , and . CoRR, (2019)3D Deep Learning for Biological Function Prediction from Physical Fields., , , , , , , and . 3DV, page 928-937. IEEE, (2020)Rotation-Equivariant Deep Learning for Diffusion MRI., , , and . CoRR, (2021)Clustering with deep learning: Taxonomy and new methods, , , , and . arXiv preprint arXiv:1801.07648, (2018)Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR., , , , , , and . Bildverarbeitung für die Medizin, page 94-99. Springer, (2024)Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions., , , , , , , , and . CoRR, (2020)Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution., , , , , and . CoRR, (2023)Deep learning and variational analysis for high-dimensional and geometric biomedical data.. Technical University of Munich, Germany, (2021)Associative Deep Clustering: Training a Classification Network with No Labels., , , , and . GCPR, volume 11269 of Lecture Notes in Computer Science, page 18-32. Springer, (2018)