Skip to main navigation
Skip to search
Skip to main content
Technical University of Munich Home
Help & FAQ
English
Deutsch
Home
Profiles
Research units
Projects
Research output
Equipment
Prizes
Activities
Press/Media
Search by expertise, name or affiliation
Computational anatomy for multi-organ analysis in medical imaging: A review
Juan J. Cerrolaza
, Mirella López Picazo
, Ludovic Humbert
, Yoshinobu Sato
,
Daniel Rueckert
, Miguel Ángel González Ballester
, Marius George Linguraru
Imperial College London
Pompeu Fabra University (UPF)
Galgo Medical S.L.
Nara Institute of Science and Technology
Technology Department
Children’s National Medical Center
George Washington School of Medicine and Health Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
72
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Computational anatomy for multi-organ analysis in medical imaging: A review'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Medical Imaging
100%
Multi-organ
100%
Computational Anatomy
100%
Organ-specific
33%
Inter-organ
33%
Deep Learning Methods
16%
Machine Learning Models
16%
Anatomical Models
16%
Disease-specific
16%
Medical Image Analysis
16%
Global Modeling
16%
Human Anatomy
16%
Anatomical Structure
16%
Hierarchical Learning
16%
Medical Imaging Application
16%
Anatomical Location
16%
Point Distribution Model
16%
Specific Strategies
16%
Organ Structure
16%
Multi-organ Model
16%
Future of Health Care
16%
Engineering
Deep Learning Method
100%
Point Distribution
50%
Distribution Model
50%
Anatomical Model
50%
Learning System
50%
Medical image analysis
50%
Medicine and Dentistry
Diagnostic Imaging
100%
Anatomical Concepts
50%
Image Analysis (Medical Imaging)
50%
Diseases
50%
Material Science
Image Analysis
100%