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Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes.

, , , и . MICCAI (1), том 9349 из Lecture Notes in Computer Science, стр. 109-116. Springer, (2015)

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Johannes Marcour

Hans-Ernst Marcolin

Monika Marcotty

Carlos Javier Marcos Navas

Massimiliano Marcon

 

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Adaptive phase correction of diffusion-weighted images., , , , и . NeuroImage, (2020)An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveforms., , , , , , и . MICCAI (2), том 12262 из Lecture Notes in Computer Science, стр. 94-103. Springer, (2020)Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection., , , , , , , и . ISBI, стр. 307-311. IEEE, (2021)Does powder averaging remove dispersion bias in diffusion MRI diameter estimates within real 3D axonal architectures?, , , , , и . NeuroImage, (2022)Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge., , , , , , , , , и 56 other автор(ы). NeuroImage, (августа 2023)Solving the inclination sign ambiguity in three dimensional Polarized Light Imaging with a PDE-based method., , , и . ISBI, стр. 737-740. IEEE, (2017)Robust T2 Relaxometry With Hamiltonian MCMC for Myelin Water Fraction Estimation., , , и . ISBI, стр. 1813-1817. IEEE, (2019)Spatially Varying Monte Carlo Sure for the Regularization of Biomedical Images., , , и . ISBI, стр. 1639-1642. IEEE, (2019)Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler., , , , , и . IPMI, том 11492 из Lecture Notes in Computer Science, стр. 818-829. Springer, (2019)Axial and radial axonal diffusivities from single encoding strongly diffusion-weighted MRI., , , и . CoRR, (2022)