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Accuracy and Precision of Head Motion Information in Multi-Channel Free Induction Decay Navigators for Magnetic Resonance Imaging.

, , , , , , and . IEEE Trans. Medical Imaging, 34 (9): 1879-1889 (2015)

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Motion Compensation Strategies in Magnetic Resonance Imaging, , , , , and . Crit Rev Biomed Eng, (2012)Brain morphometry in older adults with and without dementia using extremely rapid structural scans., , , , , , , , and . NeuroImage, (August 2023)Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling., , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 142-149. Springer, (2017)Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis., , , , , , and . BrainLes@MICCAI (1), volume 11383 of Lecture Notes in Computer Science, page 142-151. Springer, (2018)Accuracy and Precision of Head Motion Information in Multi-Channel Free Induction Decay Navigators for Magnetic Resonance Imaging., , , , , , and . IEEE Trans. Medical Imaging, 34 (9): 1879-1889 (2015)Design and compatibility of a high-performance actuation system for fMRI-based neuroscience studies., , , , , , and . IROS, page 2437-2442. IEEE, (2010)Comparison of accelerated T1-weighted whole-brain structural-imaging protocols., , , , , , , , , and 4 other author(s). NeuroImage, (2016)FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom., , , , , , , , , and 9 other author(s). CoRR, (2021)Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues., , , , , , , , , and 4 other author(s). CoRR, (2022)Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection., , , , , , , and . ISBI, page 307-311. IEEE, (2021)