Lars Ruthotto
Titel
Zitiert von
Zitiert von
Jahr
Stable architectures for deep neural networks
E Haber, L Ruthotto
Inverse Problems 34 (1), 014004, 2017
1832017
Motion Correction in Dual Gated Cardiac PET using Mass-Preserving Image Registration
F Gigengack, L Ruthotto, M Burger, C Wolters, X Jiang, K Schafers
Medical Imaging, IEEE Transactions on 31 (3), 698-712, 2011
1372011
A hyperelastic regularization energy for image registration
M Burger, J Modersitzki, L Ruthotto
SIAM J. Sci. Comput. 35 (1), B132-B148, 2013
1152013
Deep neural networks motivated by partial differential equations
L Ruthotto, E Haber
Journal of Mathematical Imaging and Vision, 1-13, 2019
1102019
Reversible architectures for arbitrarily deep residual neural networks
B Chang, L Meng, E Haber, L Ruthotto, D Begert, E Holtham
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
982018
Diffeomorphic Susceptibility Artefact Correction of Diffusion-Weighted Magnetic Resonance Images
L Ruthotto, H Kugel, J Olesch, B Fischer, J Modersitzki, M Burger, ...
Physics in Medicine and Biology 57, 5715-5731, 2012
902012
Learning Across Scales---Multiscale Methods for Convolution Neural Networks
E Haber, L Ruthotto, E Holtham, SH Jun
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
312018
A multiscale finite volume method for Maxwell's equations at low frequencies
E Haber, L Ruthotto
Geophysical Journal International 199 (2), 1268-1277, 2014
312014
jinv--a flexible Julia package for PDE parameter estimation
L Ruthotto, E Treister, E Haber
SIAM Journal on Scientific Computing 39 (5), S702-S722, 2017
302017
hMRI–A toolbox for quantitative MRI in neuroscience and clinical research
K Tabelow, E Balteau, J Ashburner, MF Callaghan, B Draganski, G Helms, ...
Neuroimage 194, 191-210, 2019
272019
Hyperelastic susceptibility artifact correction of DTI in SPM
L Ruthotto, S Mohammadi, C Heck, J Modersitzki, N Weiskopf
Bildverarbeitung für die Medizin 2013, 344-349, 2013
272013
A Lagrangian Gauss--Newton--Krylov solver for mass-and intensity-preserving diffeomorphic image registration
A Mang, L Ruthotto
SIAM Journal on Scientific Computing 39 (5), B860-B885, 2017
212017
High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processing
S Mohammadi, K Tabelow, L Ruthotto, T Feiweier, J Polzehl, N Weiskopf
Frontiers in Neuroscience 8, 427, 2015
202015
Layer-parallel training of deep residual neural networks
S Günther, L Ruthotto, JB Schroder, EC Cyr, NR Gauger
SIAM Journal on Mathematics of Data Science 2 (1), 1-23, 2020
192020
A variational approach for the correction of field-inhomogeneities in EPI sequences
J Olesch, L Ruthotto, H Kugel, S Skare, B Fischer, CH Wolters
Medical Imaging 2010: Image Processing 7623, 76230K, 2010
162010
Mass-preserving registration of medical images
L Ruthotto
Diploma Thesis (Mathematics), 2010
162010
Registration of dynamic contrast enhanced MRI with local rigidity constraint
L Ruthotto, E Hodneland, J Modersitzki
International Workshop on Biomedical Image Registration, 190-198, 2012
142012
Motion correction of cardiac PET using mass-preserving registration
F Gigengack, L Ruthotto, M Burger, CH Wolters, X Jiang, K Schäfers
IEEE Nuclear Science Symposuim & Medical Imaging Conference, 3317-3319, 2010
112010
A simplified pipeline for motion correction in dual gated cardiac PET
L Ruthotto, F Gigengack, M Burger, CH Wolters, X Jiang, KP Schäfers, ...
Bildverarbeitung für die Medizin 2012, 51-56, 2012
102012
A machine learning framework for solving high-dimensional mean field game and mean field control problems
L Ruthotto, SJ Osher, W Li, L Nurbekyan, SW Fung
Proceedings of the National Academy of Sciences 117 (17), 9183-9193, 2020
92020
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