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Colin B Hansen

Showing results (1-10 of 19) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|October 28, 2022
Efficient Quality Control with Mixed CT and CTA DatasetsLucas W Remedios, Leon Y Cai, Colin B Hansen, et al.
Imaging Neuroscience (Cambridge, Mass.)|September 29, 2025
<i>DeepPhysioRecon</i>: Tracing peripheral physiology in low frequency fMRI dynamicsRoza G Bayrak, Colin B Hansen, Jorge A Salas, et al.
Magnetic Resonance Imaging|June 18, 2022
Contrastive semi-supervised harmonization of single-shell to multi-shell diffusion MRIColin B Hansen, Kurt G Schilling, Francois Rheault, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 28, 2022
Mapping the Impact of Non-Linear Gradient Fields on Diffusion MRI Tensor EstimationPraitayini Kanakaraj, Colin B Hansen, Francois Rheault, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 12, 2018
Phantom-based field maps for gradient nonlinearity correction in diffusion imagingBaxter P Rogers, Justin Blaber, Allen T Newton, et al.
Magnetic Resonance Imaging|November 22, 2020
Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRIColin B Hansen, Baxter P Rogers, Kurt G Schilling, et al.
Lecture Notes-Monograph Series|August 30, 2021
Semi-supervised Machine Learning with MixMatch and Equivalence ClassesColin B Hansen, Vishwesh Nath, Riqiang Gao, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 11, 2021
Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHOREVishwesh Nath, Ilwoo Lyu, Kurt G Schilling, et al.
Magnetic Resonance Imaging|November 24, 2018
Characterization and correlation of signal drift in diffusion weighted MRIColin B Hansen, Vishwesh Nath, Allison E Hainline, et al.
Magnetic Resonance Imaging|July 20, 2019
Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRIVishwesh Nath, Kurt G Schilling, Prasanna Parvathaneni, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Proceedings of Spie--The International Society for Optical Engineering|October 28, 2022
Efficient Quality Control with Mixed CT and CTA DatasetsLucas W Remedios, Leon Y Cai, Colin B Hansen, et al.
Imaging Neuroscience (Cambridge, Mass.)|September 29, 2025
<i>DeepPhysioRecon</i>: Tracing peripheral physiology in low frequency fMRI dynamicsRoza G Bayrak, Colin B Hansen, Jorge A Salas, et al.
Magnetic Resonance Imaging|June 18, 2022
Contrastive semi-supervised harmonization of single-shell to multi-shell diffusion MRIColin B Hansen, Kurt G Schilling, Francois Rheault, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 28, 2022
Mapping the Impact of Non-Linear Gradient Fields on Diffusion MRI Tensor EstimationPraitayini Kanakaraj, Colin B Hansen, Francois Rheault, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 12, 2018
Phantom-based field maps for gradient nonlinearity correction in diffusion imagingBaxter P Rogers, Justin Blaber, Allen T Newton, et al.
Magnetic Resonance Imaging|November 22, 2020
Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRIColin B Hansen, Baxter P Rogers, Kurt G Schilling, et al.
Lecture Notes-Monograph Series|August 30, 2021
Semi-supervised Machine Learning with MixMatch and Equivalence ClassesColin B Hansen, Vishwesh Nath, Riqiang Gao, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 11, 2021
Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHOREVishwesh Nath, Ilwoo Lyu, Kurt G Schilling, et al.
Magnetic Resonance Imaging|November 24, 2018
Characterization and correlation of signal drift in diffusion weighted MRIColin B Hansen, Vishwesh Nath, Allison E Hainline, et al.
Magnetic Resonance Imaging|July 20, 2019
Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRIVishwesh Nath, Kurt G Schilling, Prasanna Parvathaneni, et al.
Pageof 2