Publications of Julian Krebs


  1. Julian Krebs. Robust medical image registration and motion modeling based on machine learning. Theses, Université Côte d'Azur, June 2020. Keyword(s): Medical Image Registration, Motion Modeling, Machine Learning, Varitiaonal Autoencoder, Sudden Cardiac Death Risk, Recalage d'images médicales, Modélisation du mouvement, Apprentissage profond. [bibtex-entry]

Articles in journal, book chapters

  1. Julian Krebs, Hervé Delingette, Nicholas Ayache, and Tommaso Mansi. Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix. IEEE Transactions on Medical Imaging, February 2021. Keyword(s): motion model, deformable registration, conditional variational autoencoder, gaussian process, latent variable model, motion interpolation, motion simulation, tracking. [bibtex-entry]

  2. Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, and Tommaso Mansi. Learning a Probabilistic Model for Diffeomorphic Registration. IEEE Transactions on Medical Imaging, pp 2165-2176, February 2019. Keyword(s): deep learning, probabilistic encoding, conditional variational autoencoder, latent variable model, deformation transport, deformable registration. [bibtex-entry]

Conference articles

  1. Tania Bacoyannis, Julian Krebs, Nicolas Cedilnik, Hubert Cochet, and Maxime Sermesant. Deep Learning Formulation of ECGI for Data-driven Integration of Spatiotemporal Correlations and Imaging Information. In FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, volume LNCS 11504, Bordeaux, France, pages 20-28, June 2019. Springer. Keyword(s): Simulation, Generative Model, Deep learning, ECGI. [bibtex-entry]

  2. Julian Krebs, Tommaso Mansi, Nicholas Ayache, and Hervé Delingette. Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. In STACOM 2019 - 10th Workshop on Statistical Atlases and Computational Modelling of the Heart, Shenzhen, China, October 2019. Note: Probabilistic Motion Model, Motion Tracking, Temporal Super-Resolution, Diffeomorphic Registration, Temporal Variational Autoencoder. [bibtex-entry]

  3. Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, and Hervé Delingette. Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration. In Deep Learning in Medical Image Analysis (MICCAI workshop), Granada, Spain, September 2018. Keyword(s): Medical imaging analysis, Deep learning, Image registration. [bibtex-entry]

  4. Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C Ghesu, Shun Miao, Andreas Maier, Nicholas Ayache, Rui Liao, and Ali Kamen. Robust non-rigid registration through agent-based action learning. In Medical Image Computing and Computer Assisted Interventions (MICCAI), Medical Image Computing and Computer Assisted Intervention -- MICCAI 2017, Quebec, Canada, pages 344-352, September 2017. Springer International Publishing. Keyword(s): Image registration, reinforcement learning. [bibtex-entry]

Patents, standards

  1. Julian Krebs, Hiroshi Ashikaga, Tommaso Mansi, Bin Lou, Katherine Chih-ching Wu, and Henry Halperin. Risk prediction for sudden cardiac death from image derived cardiac motion and structure features. US20210059612A1, United States, March 2021. [bibtex-entry]

  2. Julian Krebs, Tommaso Mansi, and Bin Lou. Patient specific risk prediction of cardiac events from image-derived cardiac function features. US20210057104A1, United States, February 2021. [bibtex-entry]

  3. Julian Krebs and Tommaso Mansi. Method and System for Deep Motion Model Learning in Medical Images. US20200090345A1, United States, March 2020. [bibtex-entry]

  4. Julian Krebs, Tommaso Mansi, Hervé Delingette, and Nicholas Ayache. Probabilist Motion Model for Generating Medical Images or Medical Image Sequences. US16834269, United States, October 2020. [bibtex-entry]

  5. Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi, and Shun Miao. Medical Imaging Diffeomorphic Registration based on Machine Learning. US 2019/0205766 A1, United States, July 2019. [bibtex-entry]



This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Les documents contenus dans ces répertoires sont rendus disponibles par les auteurs qui y ont contribué en vue d'assurer la diffusion à temps de travaux savants et techniques sur une base non-commerciale. Les droits de copie et autres droits sont gardés par les auteurs et par les détenteurs du copyright, en dépit du fait qu'ils présentent ici leurs travaux sous forme électronique. Les personnes copiant ces informations doivent adhérer aux termes et contraintes couverts par le copyright de chaque auteur. Ces travaux ne peuvent pas être rendus disponibles ailleurs sans la permission explicite du détenteur du copyright.

Last modified: Fri Sep 24 00:30:05 2021
Author: epione-publi.

This document was translated from BibTEX by bibtex2html