Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy
- Others:
- University of Texas at Arlington [Arlington]
- Indiana University - Purdue University Indianapolis (IUPUI) ; Indiana University System
- Department of Computer Science - University of Pittsburgh ; University of Pittsburgh (PITT) ; Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE)
- University of Pennsylvania [Philadelphia]
- University of Southern California (USC)
- Harvard Medical School [Boston] (HMS)
- COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)
- E-Patient : Images, données & mOdèles pour la médeciNe numériquE (EPIONE) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- University of Utah
- University of Copenhagen = Københavns Universitet (UCPH)
- University of Virginia [Charlottesville]
- Algorithms, models and methods for images and signals of the human brain (ARAMIS) ; Sorbonne Université (SU)-Inria de Paris ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM) ; Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP] ; Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP] ; Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
- Zhu, Dajiang
- Yan, Jingwen
- Nielsen, Mads
- Fletcher, Tom
- Durrleman, Stanley
- Sommer, Stefan
- Huang, Heng
- Shen, Li
- Thompson, Paul M.
- Westin, Carl-Fredrik
- Pennec, Xavier
- Joshi, Sarang
- GeomStats
- Inria@SiliconValley
- G-Statistics
- European Project: 786854,H2020 Pilier ERC,ERC AdG(2018)
Description
This book constitutes the refereed joint proceedings of the 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.The 16 full papers presented at MBAI 2019 and the 7 full papers presented at MFCA 2019 were carefully reviewed and selected.The MBAI papers intend to move forward the state of the art in multimodal brain image analysis, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.The MFCA papers are devoted to statistical and geometrical methods for modeling the variability of biological shapes. The goal is to foster the interactions between the mathematical community around shapes and the MICCAI community around computational anatomy applications.
Abstract
International audience
Additional details
- URL
- https://hal.inria.fr/hal-02341877
- URN
- urn:oai:HAL:hal-02341877v1
- Origin repository
- UNICA