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2020 – today
- 2021
[j3]Julian Krebs
, Hervé Delingette, Nicholas Ayache, Tommaso Mansi:
Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix. IEEE Trans. Medical Imaging 40(5): 1405-1416 (2021)- 2020
- [b1]Julian Krebs:
Robust Medical Image Registration and Motion Modeling based on Machine Learning. (Le recalage robuste d'images médicales et la modélisation du mouvement basée sur l'apprentissage profond). French Institute for Research in Computer Science and Automation, Rocquencourt, France, 2020 - [i4]Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi:
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix. CoRR abs/2011.01741 (2020)
2010 – 2019
- 2019
- [j2]Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi:
Learning a Probabilistic Model for Diffeomorphic Registration. IEEE Trans. Medical Imaging 38(9): 2165-2176 (2019) - [c6]Tania Bacoyannis, Julian Krebs, Nicolas Cedilnik, Hubert Cochet, Maxime Sermesant:
Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information. FIMH 2019: 20-28 - [c5]Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette:
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. STACOM@MICCAI 2019: 176-185 - [i3]Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette:
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. CoRR abs/1907.13524 (2019) - 2018
- [c4]Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette:
Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration. DLMIA/ML-CDS@MICCAI 2018: 101-109 - [i2]Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette:
Learning Structured Deformations using Diffeomorphic Registration. CoRR abs/1804.07172 (2018) - [i1]Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi:
Learning a Probabilistic Model for Diffeomorphic Registration. CoRR abs/1812.07460 (2018) - 2017
- [j1]Sasa Grbic, Thomas F. Easley, Tommaso Mansi, Charles H. Bloodworth, Eric L. Pierce, Ingmar Voigt, Dominik Neumann, Julian Krebs, David D. Yuh, Morten O. Jensen, Dorin Comaniciu, Ajit P. Yoganathan:
Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography. Medical Image Anal. 35: 238-249 (2017) - [c3]Thomas S. Pheiffer, David Soto-Iglesias, Yaroslav Nikulin, Tiziano Passerini, Julian Krebs, Marta Sitges, Antonio Berruezo, Oscar Camara, Tommaso Mansi:
Estimation of Local Conduction Velocity from Myocardium Activation Time: Application to Cardiac Resynchronization Therapy. FIMH 2017: 239-248 - [c2]Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C. Ghesu, Shun Miao, Andreas K. Maier, Nicholas Ayache, Rui Liao, Ali Kamen:
Robust Non-rigid Registration Through Agent-Based Action Learning. MICCAI (1) 2017: 344-352 - 2014
- [c1]Sasa Grbic, Thomas F. Easley, Tommaso Mansi, Charles H. Bloodworth, Eric L. Pierce, Ingmar Voigt, Dominik Neumann, Julian Krebs, David D. Yuh, Morten O. Jensen, Dorin Comaniciu, Ajit P. Yoganathan:
Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models. STACOM 2014: 239-248
Coauthor Index
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