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The Value of Nullspace Tuning Using Partial Label Information., , , , , and . CoRR, (2020)Efficient quality control with mixed CT and CTA datasets., , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE., , , , , , , , , and 1 other author(s). MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 573-581. Springer, (2019)Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators., , , , , , , , , and 9 other author(s). Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490O. SPIE, (2019)Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution., , , , , , , , , and 3 other author(s). CoRR, (2019)Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?, , , , , , , , , and 131 other author(s). NeuroImage, (2021)Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow., , , , , , , , and . NeuroImage, (2021)Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning., , , , , , , , , and 8 other author(s). CoRR, (2018)Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography., , , , , , , , , and 9 other author(s). Neuroinformatics, 19 (3): 447-460 (2021)False positive reduction of vasculature for pulmonary nodule detection., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)