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Nancy Newlin

Showing results (1-10 of 8) with videos related to

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Magnetic Resonance Imaging|January 19, 2025
Deep learning-based free-water correction for single-shell diffusion MRITianyuan Yao, Derek B Archer, Praitayini Kanakaraj, et al.
Computational Diffusion MRI. CDMRI (Workshop)|December 1, 2025
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRITianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 16, 2024
Learning-based Free-Water Correction using Single-shell Diffusion MRITianyuan Yao, Derek B Archer, Praitayini Kanakaraj, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 25, 2023
Mapping the Impact of Approximate Gradient Nonlinearity Fields Correction on TractographyPraitayini Kanakaraj, Francois Rheault, Leon Y Cai, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 25, 2023
Deep Constrained Spherical Deconvolution for Robust HarmonizationTianyuan Yao, Francois Rheault, Leon Y Cai, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 8, 2024
Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imagingTianyuan Yao, Francois Rheault, Leon Y Cai, et al.
Human Brain Mapping|February 12, 2025
Head Motion in Diffusion Magnetic Resonance Imaging: Quantification, Mitigation, and Structural Associations in Large, Cross-Sectional Datasets Across the LifespanKurt G Schilling, Karthik Ramadass, Viljami Sairanen, et al.
Neuroimage|June 17, 2023
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challengeGabriel Girard, Jonathan Rafael-Patiño, Raphaël Truffet, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Magnetic Resonance Imaging|January 19, 2025
Deep learning-based free-water correction for single-shell diffusion MRITianyuan Yao, Derek B Archer, Praitayini Kanakaraj, et al.
Computational Diffusion MRI. CDMRI (Workshop)|December 1, 2025
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRITianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 16, 2024
Learning-based Free-Water Correction using Single-shell Diffusion MRITianyuan Yao, Derek B Archer, Praitayini Kanakaraj, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 25, 2023
Mapping the Impact of Approximate Gradient Nonlinearity Fields Correction on TractographyPraitayini Kanakaraj, Francois Rheault, Leon Y Cai, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 25, 2023
Deep Constrained Spherical Deconvolution for Robust HarmonizationTianyuan Yao, Francois Rheault, Leon Y Cai, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 8, 2024
Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imagingTianyuan Yao, Francois Rheault, Leon Y Cai, et al.
Human Brain Mapping|February 12, 2025
Head Motion in Diffusion Magnetic Resonance Imaging: Quantification, Mitigation, and Structural Associations in Large, Cross-Sectional Datasets Across the LifespanKurt G Schilling, Karthik Ramadass, Viljami Sairanen, et al.
Neuroimage|June 17, 2023
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challengeGabriel Girard, Jonathan Rafael-Patiño, Raphaël Truffet, et al.
Pageof 1