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Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares.

, , , , , , , и . NeuroImage, (2021)

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Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency., , , , , , , , , и . MLCN@MICCAI, том 13596 из Lecture Notes in Computer Science, стр. 83-92. Springer, (2022)Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares., , , , , , , и . NeuroImage, (2021)Comparison of non-parametric T2 relaxometry methods for myelin water quantification., , , , , , , , , и 2 other автор(ы). Medical Image Anal., (2021)Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI., , , , , , , , , и 1 other автор(ы). CoRR, (2022)Model-informed machine learning for multi-component T2 relaxometry., , , , , , , , , и 2 other автор(ы). Medical Image Anal., (2021)Evaluating reproducibility and subject-specificity of microstructure-informed connectivity., , , , , , , , , и 8 other автор(ы). NeuroImage, (2022)Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection., , , , , , , и . ISBI, стр. 307-311. IEEE, (2021)