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Reconstruction of highly under-sampled dynamic MRI using sparse representation of 1D temporal snippets.

, , , , , and . ISBI, page 1240-1243. IEEE, (2015)

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Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI., , , , , , , and . MLMIR@MICCAI, volume 12450 of Lecture Notes in Computer Science, page 91-101. Springer, (2020)A novel method for dipole inversion in QSM with reweighted L2-norm using distribution specification., , , , and . ISBI, page 560-563. IEEE, (2015)Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping., , , , , and . MIDL, volume 143 of Proceedings of Machine Learning Research, page 870-880. PMLR, (2021)3D texture analyses within the substantia nigra of Parkinson's disease patients on quantitative susceptibility maps and R2∗ maps., , , , , , , , , and . NeuroImage, (2019)Geometric Loss For Deep Multiple Sclerosis Lesion Segmentation., , , , , , , and . ISBI, page 24-28. IEEE, (2021)Motion Artifact Suppression in Breath Hold 3D Contrast Enhanced Magnetic Resonance Angiography using ECG Ordering., , , , and . EMBC, page 739-742. IEEE, (2006)Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network., , , , , and . CoRR, (2021)RSANet: Recurrent Slice-Wise Attention Network for Multiple Sclerosis Lesion Segmentation., , , , , , , , , and . MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 411-419. Springer, (2019)Deep Neural Network (DNN) for Water/Fat Separation: Supervised Training, Unsupervised Training, and No Training., , , , , , , , and . CoRR, (2020)Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping., , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 892-902. PMLR, (2020)