| 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 | 258 | 2017 |
| 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 | 224 | 2019 |
| 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 | 192 | 2017 |
| 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 | 92 | 2018 |
| 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 | 26 | 2019 |
| 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 | 22 | 2019 |
| 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 | 21 | 2017 |
| 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 | 19 | 2021 |
| Learning structured deformations using diffeomorphic registration J Krebs, T Mansi, B Mailhé, N Ayache, H Delingette arXiv preprint arXiv:1804.07172, 2018 | 17 | 2018 |
| 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 | 16 | 2023 |
| 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 |
| Risk prediction for sudden cardiac death from image derived cardiac motion and structure features J Krebs, H Ashikaga, T Mansi, B Lou, KC Wu, H Halperin US Patent 11,350,888, 2022 | 10 | 2022 |
| Method and system for deep motion model learning in medical images J Krebs, T Mansi US Patent 10,664,979, 2020 | 9 | 2020 |
| 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 | 8 | 2020 |
| 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 | 8 | 2015 |
| 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 | 7 | 2021 |
| 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 | 6 | 2020 |
| Valve modeling with dense chordae from medical scan data S Grbic, T Mansi, I Voigt, J Krebs US Patent 9,848,856, 2017 | 5 | 2017 |
| 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 | 5 | 2017 |
| PET-CT registration for medical imaging S Piat, J Krebs US Patent 11,475,535, 2022 | 4 | 2022 |
