Lars Ruthotto - Concepedia

Author

Lars Ruthotto

Also Known As

L Ruthotto, L. RUTHOTTO, L. Ruthotto, Lars Ruthotto, Marta D'Elia, Mildenberger, Sophie, Ruthotto, L., Ruthotto, Lars, Wu Fung, Samy

118

Publications

Citations

H-Index

Concepts

All Affiliations

Emory University University of British Columbia University of Münster University Medical Center Hamburg-Eppendorf Wellcome Centre for Human Neuroimaging

About

Lars Ruthotto is an author at Emory University specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	18	1.1K
2	Health Sciences	4	4	173
3	Biomedical Engineering	2	2	147
4	Medicine	1	1	115
5	Natural Sciences	1	1	151

Lars Ruthotto

Publications

1.7K

Citations

H-Index

Page 1

	Year	Citations
hMRI – A toolbox for quantitative MRI in neuroscience and clinical research Karsten Tabelow, Evelyne Balteau, John Ashburner, NeuroImage	2019	263
Reversible Architectures for Arbitrarily Deep Residual Neural Networks Bo Chang, Lili Meng, Eldad Haber, Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceConvolutional Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2018	205
A Machine Learning Framework for Solving High-Dimensional Mean Field\n Game and Mean Field Control Problems Lars Ruthotto, Stanley Osher, Wuchen Li, arXiv (Cornell University)	2019	198
A Hyperelastic Regularization Energy for Image Registration Martin Burger, Jan Modersitzki, Lars Ruthotto SIAM Journal on Scientific Computing EngineeringRobust FeatureImage AnalysisHyperelastic RegistrationImage Registration	2013	151
Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration Fabian Gigengack, Lars Ruthotto, Martin Burger, IEEE Transactions on Medical Imaging Computed TomographyImage ReconstructionEngineeringPet-mriBiomedical Engineering	2011	135
Diffeomorphic susceptibility artifact correction of diffusion-weighted magnetic resonance images Lars Ruthotto, Harald Kugel, Janine Olesch, Physics in Medicine and Biology EngineeringNeuroimaging ModalityMedical ImagingGeometrical DistortionsTailored Nonlinear Regularization	2012	115
Layer-Parallel Training of Deep Residual Neural Networks Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, SIAM Journal on Mathematics of Data Science Artificial IntelligenceLayer-parallel TrainingConvolutional Neural NetworkDeep Neural NetworksEngineering	2020	86
Reversible Architectures for Arbitrarily Deep Residual Neural Networks Bo Chang, Lili Meng, Eldad Haber, ArXiv.org Artificial IntelligenceConvolutional Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2017	71
Learning Across Scales---Multiscale Methods for Convolution Neural Networks Eldad Haber, Lars Ruthotto, Elliot Holtham, Proceedings of the AAAI Conference on Artificial Intelligence Convolutional Neural NetworkEngineeringMachine LearningAutoencodersMultiple Scale	2018	63
A multiscale finite volume method for Maxwell's equations at low frequencies Eldad Haber, Lars Ruthotto Geophysical Journal International	2014	50

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