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Julian Krebs
Julian Krebs
PhD, Inria and Siemens Healthineers
Verified email at inria.fr
Title
Cited by
Cited by
Year
Robust non-rigid registration through agent-based action learning
J Krebs, T Mansi, H Delingette, L Zhang, FC Ghesu, S Miao, AK Maier, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
2592017
Learning a probabilistic model for diffeomorphic registration
J Krebs, H Delingette, B Mailhé, N Ayache, T Mansi
IEEE transactions on medical imaging 38 (9), 2165-2176, 2019
2252019
Method and System for Image Registration Using an Intelligent Artificial Agent
R Liao, S Miao, P De Tournemire, J Krebs, L Zhang, B Georgescu, S Grbic, ...
US Patent App. 15/587,094, 2017
1902017
Unsupervised probabilistic deformation modeling for robust diffeomorphic registration
J Krebs, T Mansi, B Mailhé, N Ayache, H Delingette
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
932018
Method and system for advanced transcatheter aortic valve implantation planning
S Grbic, R Ionasec, T Mansi, I Voigt, D Neumann, J Krebs, C Schwemmer, ...
US Patent 9,931,790, 2018
292018
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI
J Krebs, T Mansi, N Ayache, H Delingette
Statistical Atlases and Computational Models of the Heart. Multi-Sequence …, 2019
262019
Deep learning formulation of ECGI for data-driven integration of spatiotemporal correlations and imaging information
T Bacoyannis, J Krebs, N Cedilnik, H Cochet, M Sermesant
Functional Imaging and Modeling of the Heart: 10th International Conference …, 2019
232019
Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography
S Grbic, TF Easley, T Mansi, CH Bloodworth, EL Pierce, I Voigt, ...
Medical image analysis 35, 238-249, 2017
212017
Learning a generative motion model from image sequences based on a latent motion matrix
J Krebs, H Delingette, N Ayache, T Mansi
IEEE Transactions on Medical Imaging 40 (5), 1405-1416, 2021
202021
Learning structured deformations using diffeomorphic registration
J Krebs, T Mansi, B Mailhé, N Ayache, H Delingette
arXiv preprint arXiv:1804.07172, 2018
172018
Method and system for image registration using an intelligent artificial agent
R Liao, S Miao, P De Tournemire, J Krebs, L Zhang, B Georgescu, S Grbic, ...
US Patent 11,557,036, 2023
162023
Medical imaging diffeomorphic registration based on machine learning
J Krebs, H Delingette, N Ayache, T Mansi, S Miao
US Patent 11,449,759, 2022
142022
e Delingette H, Mailhé B, Ayache N, Mansi T. Learning a probabilistic model for diffeomorphic registration
J Krebs
IEEE Trans Med Imaging 38, 2165-76, 2019
12*2019
Method and system for deep motion model learning in medical images
J Krebs, T Mansi
US Patent 10,664,979, 2020
82020
Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges
J Krebs, T Mansi, N Ayache, H Delingette, M Pop, M Sermesant, ...
Springer International Publishing, 2020
82020
Multi-modal validation framework of mitral valve geometry and functional computational models
S Grbic, TF Easley, T Mansi, CH Bloodworth, EL Pierce, I Voigt, ...
Statistical Atlases and Computational Models of the Heart-Imaging and …, 2015
82015
CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY)
J Krebs, T Mansi, H Delingette, B Lou, JAC Lima, S Tao, LA Ciuffo, ...
Scientific reports 11 (1), 22683, 2021
62021
Atlas-based contouring of organs at risk for radiation therapy
L Zhang, S Sun, SK Zhou, D Xu, XU Zhoubing, T Mansi, Y Chi, Y Zheng, ...
US Patent 10,607,342, 2020
62020
Estimation of local conduction velocity from myocardium activation time: application to cardiac resynchronization therapy
T Pheiffer, D Soto-Iglesias, Y Nikulin, T Passerini, J Krebs, M Sitges, ...
International Conference on Functional Imaging and Modeling of the Heart …, 2017
52017
PET-CT registration for medical imaging
S Piat, J Krebs
US Patent 11,475,535, 2022
42022
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