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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
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Keyphrases
Anatomical Location
16%
Anatomical Models
16%
Anatomical Structure
16%
Computational Anatomy
100%
Deep Learning Methods
16%
Disease-specific
16%
Future of Health Care
16%
Global Modeling
16%
Hierarchical Learning
16%
Human Anatomy
16%
Inter-organ
33%
Machine Learning Models
16%
Medical Image Analysis
16%
Medical Imaging
100%
Medical Imaging Application
16%
Multi-organ
100%
Multi-organ Model
16%
Organ Structure
16%
Organ-specific
33%
Point Distribution Model
16%
Specific Strategies
16%
Engineering
Anatomical Model
50%
Deep Learning Method
100%
Distribution Model
50%
Learning System
50%
Medical image analysis
50%
Point Distribution
50%
Medicine and Dentistry
Anatomical Concepts
50%
Diagnostic Imaging
100%
Diseases
50%
Image Analysis (Medical Imaging)
50%
Material Science
Image Analysis
100%