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Lars Ruthotto

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

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NMR in Biomedicine|May 27, 2016
Computational methods for image reconstructionJulianne Chung, Lars Ruthotto
SIAM Journal on Scientific Computing : a Publication of the Society for Industrial and Applied Mathematics|November 4, 2017
A LAGRANGIAN GAUSS-NEWTON-KRYLOV SOLVER FOR MASS- AND INTENSITY-PRESERVING DIFFEOMORPHIC IMAGE REGISTRATIONAndreas Mang, Lars Ruthotto
Frontiers in Neuroscience|June 12, 2024
PyHySCO: GPU-enabled susceptibility artifact distortion correction in secondsAbigail Julian, Lars Ruthotto
International Journal for Numerical Methods in Biomedical Engineering|October 27, 2017
Numerical methods for polyline-to-point-cloud registration with applications to patient-specific stent reconstructionClaire Yilin Lin, Alessandro Veneziani, Lars Ruthotto
Proceedings of the National Academy of Sciences of the United States of America|April 11, 2020
A machine learning framework for solving high-dimensional mean field game and mean field control problemsLars Ruthotto, Stanley J Osher, Wuchen Li, et al.
Frontiers in Neuroscience|January 27, 2015
High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processingSiawoosh Mohammadi, Karsten Tabelow, Lars Ruthotto, et al.
IEEE Transactions on Medical Imaging|November 16, 2011
Motion correction in dual gated cardiac PET using mass-preserving image registrationFabian Gigengack, Lars Ruthotto, Martin Burger, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI dataGergely David, Björn Fricke, Jan Malte Oeschger, et al.
Neuroimage|January 25, 2019
hMRI - A toolbox for quantitative MRI in neuroscience and clinical researchKarsten Tabelow, Evelyne Balteau, John Ashburner, et al.
Data in Brief|July 13, 2019
Example dataset for the hMRI toolboxMartina F Callaghan, Antoine Lutti, John Ashburner, et al.
Pageof 1

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

Sort By:
Pageof 1
NMR in Biomedicine|May 27, 2016
Computational methods for image reconstructionJulianne Chung, Lars Ruthotto
SIAM Journal on Scientific Computing : a Publication of the Society for Industrial and Applied Mathematics|November 4, 2017
A LAGRANGIAN GAUSS-NEWTON-KRYLOV SOLVER FOR MASS- AND INTENSITY-PRESERVING DIFFEOMORPHIC IMAGE REGISTRATIONAndreas Mang, Lars Ruthotto
Frontiers in Neuroscience|June 12, 2024
PyHySCO: GPU-enabled susceptibility artifact distortion correction in secondsAbigail Julian, Lars Ruthotto
International Journal for Numerical Methods in Biomedical Engineering|October 27, 2017
Numerical methods for polyline-to-point-cloud registration with applications to patient-specific stent reconstructionClaire Yilin Lin, Alessandro Veneziani, Lars Ruthotto
Proceedings of the National Academy of Sciences of the United States of America|April 11, 2020
A machine learning framework for solving high-dimensional mean field game and mean field control problemsLars Ruthotto, Stanley J Osher, Wuchen Li, et al.
Frontiers in Neuroscience|January 27, 2015
High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processingSiawoosh Mohammadi, Karsten Tabelow, Lars Ruthotto, et al.
IEEE Transactions on Medical Imaging|November 16, 2011
Motion correction in dual gated cardiac PET using mass-preserving image registrationFabian Gigengack, Lars Ruthotto, Martin Burger, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI dataGergely David, Björn Fricke, Jan Malte Oeschger, et al.
Neuroimage|January 25, 2019
hMRI - A toolbox for quantitative MRI in neuroscience and clinical researchKarsten Tabelow, Evelyne Balteau, John Ashburner, et al.
Data in Brief|July 13, 2019
Example dataset for the hMRI toolboxMartina F Callaghan, Antoine Lutti, John Ashburner, et al.
Pageof 1