Julian Krebs

14 papers Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2021 J jnl
Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix.
IEEE Trans. Medical Imaging
Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi
2020 J jnl
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix.
CoRR
Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi
2020 — —
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).
Julian Krebs
2019 — conf
Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information.
FIMH
Tania Bacoyannis, Julian Krebs, Nicolas Cedilnik, Hubert Cochet, Maxime Sermesant
2019 J jnl
Learning a Probabilistic Model for Diffeomorphic Registration.
IEEE Trans. Medical Imaging
Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi
2019 — conf
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI.
STACOM@MICCAI
Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette
2019 J jnl
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI.
CoRR
Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette
2018 J jnl
Learning Structured Deformations using Diffeomorphic Registration.
CoRR
Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette
2018 J jnl
Learning a Probabilistic Model for Diffeomorphic Registration.
CoRR
Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi
2018 — conf
Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration.
DLMIA/ML-CDS@MICCAI
Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette
2017 — conf
Estimation of Local Conduction Velocity from Myocardium Activation Time: Application to Cardiac Resynchronization Therapy.
FIMH
Thomas S. Pheiffer, David Soto-Iglesias, Yaroslav Nikulin, Tiziano Passerini, Julian Krebs, Marta Sitges, Antonio Berruezo, Oscar Camara, Tommaso Mansi
2017 J jnl
Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography.
Medical Image Anal.
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
2017 — conf
Robust Non-rigid Registration Through Agent-Based Action Learning.
MICCAI (1)
Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C. Ghesu, Shun Miao, Andreas K. Maier, Nicholas Ayache, Rui Liao, Ali Kamen
2014 — conf
Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models.
STACOM
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