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Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation., , , , , , , и . Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)Deep whole brain segmentation of 7T structural MRI., , , , , , , , , и 5 other автор(ы). Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment., , , , , , , , , и 4 other автор(ы). J. Digit. Imaging, 35 (4): 1023-1033 (2022)Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI., , , , , , , , , и 4 other автор(ы). CoRR, (2023)Exploring shared memory architectures for end-to-end gigapixel deep learning., , , , , , , , , и 1 other автор(ы). CoRR, (2023)A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI., , , , , , , , и . CoRR, (2023)A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI., , , , , , , , и . CDMRI@MICCAI, том 14328 из Lecture Notes in Computer Science, стр. 13-22. Springer, (2023)Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis., , , , , , , , , и 3 other автор(ы). J. Digit. Imaging, 35 (6): 1576-1589 (2022)Deep constrained spherical deconvolution for robust harmonization., , , , , , , , , и 2 other автор(ы). Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability., , , , , , , , , и 9 other автор(ы). Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)