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http://dx.doi.org/10.1002/jmri.27961 | DOI Listing |
Front Neurosci
December 2024
Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, University of Sherbrooke, Sherbrooke, QC, Canada.
Front Neurosci
June 2024
Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Neuroimaging-based prediction of neurocognitive measures is valuable for studying how the brain's structure relates to cognitive function. However, the accuracy of prediction using popular linear regression models is relatively low. We propose a novel deep regression method, namely , that allows full supervision for contrastive learning in regression tasks using diffusion MRI tractography.
View Article and Find Full Text PDFMagn Reson Med Sci
June 2024
Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
This special issue of Magnetic Resonance in Medical Sciences is dedicated to "Advanced Techniques for MR Neuroimaging," featuring nine review articles authored by leading experts. The reviews cover advancements in reproducible research practices, diffusion tensor imaging along the perivascular space, myelin imaging using magnetic susceptibility source separation, spinal cord quantitative MRI analysis, tractometry of visual white matter pathways, deep learning-based image enhancement, arterial spin labeling, the potential of radiomics, and MRI-based quantification of brain oxygen metabolism. These articles provide a comprehensive update on cutting-edge technologies and their applications in clinical and research settings, highlighting their impact on improving diagnostic accuracy and understanding of neurological disorders.
View Article and Find Full Text PDFJ Magn Reson Imaging
April 2022
Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
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