Julian Krebs
Orcid: 0000-0002-3902-0223
According to our database1,
Julian Krebs
authored at least 11 papers
between 2014 and 2021.
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Bibliography
2021
Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix.
IEEE Trans. Medical Imaging, 2021
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).
PhD thesis, 2020
2019
IEEE Trans. Medical Imaging, 2019
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
2018
Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
2017
Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography.
Medical Image Anal., 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Estimation of Local Conduction Velocity from Myocardium Activation Time: Application to Cardiac Resynchronization Therapy.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
2014
Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014