Related references
Note: Only part of the references are listed.Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography
Suyu Dong et al.
MEDICAL IMAGE ANALYSIS (2020)
Learning deformable registration of medical images with anatomical constraints
Lucas Mansilla et al.
NEURAL NETWORKS (2020)
A deep learning framework for unsupervised affine and deformable image registration
Bob D. de Vos et al.
MEDICAL IMAGE ANALYSIS (2019)
Learning a Probabilistic Model for Diffeomorphic Registration
Julian Krebs et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi-Task Deep Learning Approach
Jinming Duan et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Guha Balakrishnan et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces
Adrian V. Dalca et al.
MEDICAL IMAGE ANALYSIS (2019)
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
Xiahai Zhuang et al.
MEDICAL IMAGE ANALYSIS (2019)
Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders
Agostina J. Larrazabal et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT VI (2019)
DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation
Zhenlin Xu et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT II (2019)
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
Ozan Oktay et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
Fidel Alfaro-Almagro et al.
NEUROIMAGE (2018)
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
Konstantinos Kamnitsas et al.
MEDICAL IMAGE ANALYSIS (2017)
The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample
Jason R. Taylor et al.
NEUROIMAGE (2017)
Multimodal population brain imaging in the UK Biobank prospective epidemiological study
Karla L. Miller et al.
NATURE NEUROSCIENCE (2016)
Multiphysics and multiscale modelling, data - model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics
Radomir Chabiniok et al.
INTERFACE FOCUS (2016)
SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: A report of the society of Cardiovascular Computed Tomography Guidelines Committee Endorsed by the North American Society for Cardiovascular Imaging (NASCI)
Suhny Abbara et al.
JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY (2016)
A bi-ventricular cardiac atlas built from 1000+high resolution MR images of healthy subjects and an analysis of shape and motion
Wenjia Bai et al.
MEDICAL IMAGE ANALYSIS (2015)
Multi-atlas segmentation of biomedical images: A survey
Juan Eugenio Iglesias et al.
MEDICAL IMAGE ANALYSIS (2015)
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
Cathie Sudlow et al.
PLOS MEDICINE (2015)
The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing
Meredith A. Shafto et al.
BMC NEUROLOGY (2014)
An automatic service for the personalization of ventricular cardiac meshes
Pablo Lamata et al.
JOURNAL OF THE ROYAL SOCIETY INTERFACE (2014)
Left ventricular shape variation in asymptomatic populations: the multi-ethnic study of atherosclerosis
Pau Medrano-Gracia et al.
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE (2014)
Computational Fluid Dynamics Applied to Cardiac Computed Tomography for Noninvasive Quantification of Fractional Flow Reserve Scientific Basis
Charles A. Taylor et al.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2013)
A review of atlas-based segmentation for magnetic resonance brain images
Mariano Cabezas et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2011)
Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods
Juan Eugenio Iglesias et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2011)
A Bayesian model of shape and appearance for subcortical brain segmentation
Brian Patenaude et al.
NEUROIMAGE (2011)
N4ITK: Improved N3 Bias Correction
Nicholas J. Tustison et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2010)
Evaluation of a multi-atlas based method for segmentation of cardiac CTA data: a large-scale, multicenter, and multivendor study
H. A. Kirisli et al.
MEDICAL PHYSICS (2010)
Computational cardiac atlases: from patient to population and back
Alistair A. Young et al.
EXPERIMENTAL PHYSIOLOGY (2009)
Multi-Atlas-Based Segmentation With Local Decision Fusion-Application to Cardiac and Aortic Segmentation in CT Scans
Ivana Isgum et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2009)
Statistical shape models for 3D medical image segmentation: A review
Tobias Heimann et al.
MEDICAL IMAGE ANALYSIS (2009)
A fast diffeomorphic image registration algorithm
John Ashburner
NEUROIMAGE (2007)
Unbiased diffeomorphic atlas construction for computational anatomy
S Joshi et al.
NEUROIMAGE (2004)
Average brain models: A convergence study
A Guimond et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2000)