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Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction., , , , , и . CoRR, (2019)Learning joint demosaicing and denoising based on sequential energy minimization., , , и . ICCP, стр. 1-11. IEEE Computer Society, (2016)Embedding Gradient-Based Optimization in Image Registration Networks., , , , и . MICCAI (6), том 13436 из Lecture Notes in Computer Science, стр. 56-65. Springer, (2022)Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge., , , , , , , , , и 31 other автор(ы). MLMIR@MICCAI, том 12964 из Lecture Notes in Computer Science, стр. 25-34. Springer, (2021)Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours., , , и . CSI@MICCAI, том 9402 из Lecture Notes in Computer Science, стр. 130-140. Springer, (2015)Towards Generalised Neural Implicit Representations for Image Registration., , , , , , и . DGM4MICCAI, том 14533 из Lecture Notes in Computer Science, стр. 45-55. Springer, (2023)Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging., , , , , и . IPMI, том 13939 из Lecture Notes in Computer Science, стр. 548-560. Springer, (2023)Variational Networks: Connecting Variational Methods and Deep Learning., , , и . GCPR, том 10496 из Lecture Notes in Computer Science, стр. 281-293. Springer, (2017)Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging., , , , , и . CoRR, (2022)Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging., , , , , , и . CoRR, (2022)