Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models. - 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 (STACOM, 2014)

Estimation of Local Conduction Velocity from Myocardium Activation Time: Application to Cardiac Resynchronization Therapy. - Thomas S. Pheiffer; David Soto-Iglesias; Yaroslav Nikulin; Tiziano Passerini; Julian Krebs; Marta Sitges; Antonio Berruezo; Oscar Camara 001; Tommaso Mansi (FIMH, 2017)

Robust Non-rigid Registration Through Agent-Based Action Learning. - Julian Krebs; Tommaso Mansi; Hervé Delingette; Li Zhang; Florin C. Ghesu; Shun Miao; Andreas K. Maier; Nicholas Ayache; Rui Liao; Ali Kamen (MICCAI (1), 2017)

Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography. - 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 (Medical Image Anal., 2017)

Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration. - Julian Krebs; Tommaso Mansi; Boris Mailhé; Nicholas Ayache; Hervé Delingette (DLMIA/ML-CDS@MICCAI, 2018)

Learning Structured Deformations using Diffeomorphic Registration. - Julian Krebs; Tommaso Mansi; Boris Mailhé; Nicholas Ayache; Hervé Delingette (CoRR, 2018)

Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information. - Tania Bacoyannis; Julian Krebs; Nicolas Cedilnik; Hubert Cochet; Maxime Sermesant (FIMH, 2019)

Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. - Julian Krebs; Tommaso Mansi; Nicholas Ayache; Hervé Delingette (STACOM@MICCAI, 2019)

Learning a Probabilistic Model for Diffeomorphic Registration. - Julian Krebs; Hervé Delingette; Boris Mailhé; Nicholas Ayache; Tommaso Mansi (IEEE Trans. Medical Imaging, 2019)

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 (2020)

Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix. - Julian Krebs; Hervé Delingette; Nicholas Ayache; Tommaso Mansi (IEEE Trans. Medical Imaging, 2021)