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Longitudinal changes of connectomes and graph theory measures in aging.

, , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)

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Longitudinal changes of connectomes and graph theory measures in aging., , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation., , , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)A building-wide indoor tracking system for augmented reality., , and . VR, page 167-168. IEEE Computer Society, (2015)Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge., , , , , , , , , and 56 other author(s). NeuroImage, (August 2023)Filtering in tractography using autoencoders (FINTA)., , , , , , and . Medical Image Anal., (2021)BundleSeg: A Versatile, Reliable and Reproducible Approach to White Matter Bundle Segmentation., , and . CDMRI@MICCAI, volume 14328 of Lecture Notes in Computer Science, page 47-57. Springer, (2023)Mapping the impact of approximate gradient nonlinearity fields correction on tractography., , , , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context., , , , , , , , , and 1 other author(s). MIDL, volume 227 of Proceedings of Machine Learning Research, page 1124-1143. PMLR, (2023)Deep constrained spherical deconvolution for robust harmonization., , , , , , , , , and 2 other author(s). Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)