Image processing and quality control for the first 10, NeuroImage, vol.166, pp.400-424, 2018. ,
A reproducible evaluation of ants similarity metric performance in brain image registration, NeuroImage, vol.54, issue.3, pp.2033-2044, 2011. ,
, Deep neural networks for quality assurance of image registration, 2019.
Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM radiation therapy committee task group no, Med Phys, vol.44, issue.132, pp.43-76, 2017. ,
Determining the area under the ROC curve for a binary diagnostic test, Medical Decision Making, vol.20, issue.4, pp.468-470, 2000. ,
DPARSF: a MATLAB toolbox for "pipeline" data analysis of resting-state fMRI, Frontiers in Systems Neuroscience, vol.4, p.13, 2010. ,
Automatic 3d intersubject registration of MR volumetric data in standardized talairach space, Journal of computer assisted tomography, vol.18, issue.2, pp.192-205, 1994. ,
Camino: open-source diffusion-MRI reconstruction and processing, vol.2759, p.2759, 2006. ,
Towards a unified analysis of brain maturation and aging across the entire lifespan: A MRI analysis, Human Brain Mapping, vol.38, issue.11, pp.5501-5518, 2017. ,
Lifespan changes of the human brain in alzheimer's disease, Scientific Reports, vol.9, issue.1, p.3998, 2019. ,
Automated image registration quality assessment utilizing deep-learning based ventricle extraction in clinical data, 2019. ,
Error estimation of deformable image registration of pulmonary ct scans using convolutional neural networks, Journal of Medical Imaging, vol.5, issue.2, 2018. ,
Unbiased average age-appropriate atlases for pediatric studies, NeuroImage, vol.54, issue.1, pp.313-327, 2011. ,
Deep learning of quality control for stereotaxic registration of human brain MRI, 2018. ,
Spatial registration and normalization of images, Human Brain Mapping, vol.3, issue.3, pp.165-189, 1995. ,
Quantitative error prediction of medical image registration using regression forests, 2019. ,
, FSL, vol.62, pp.782-790, 2012.
URL : https://hal.archives-ouvertes.fr/inserm-01149484
The LONI QC system: A semi-automated, web-based and freely-available environment for the comprehensive quality control of neuroimaging data, Frontiers in Neuroinformatics, vol.13, p.60, 2019. ,
A study of cross-validation and bootstrap for accuracy estimation and model selection, pp.1137-1143, 1995. ,
Robust MRI brain tissue parameter estimation by multistage outlier rejection, Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine, vol.59, issue.4, pp.866-873, 2008. ,
volbrain: An online MRI brain volumetry system, Frontiers in neuroinformatics, vol.10, p.30, 2016. ,
Adaptive non-local means denoising of MR images with spatially varying noise levels, Journal of Magnetic Resonance Imaging, vol.31, issue.1, pp.192-203, 2010. ,
Registration of head volume images using implantable fiducial markers, IEEE Transactions on Medical Imaging, vol.16, pp.447-462, 1997. ,
New variants of a method of MRI scale standardization, IEEE Transactions on Medical Imaging, vol.19, pp.143-150, 2000. ,
Patient-specific validation of deformable image registration in radiation therapy: Overview and caveats, Med Phys, vol.45, issue.10, pp.908-922, 2018. ,
Scale invariant feature transform in adaptive radiation therapy: a tool for deformable image registration assessment and re-planning indication, Physics in Medicine and Biology, vol.58, issue.2, pp.287-299, 2012. ,
A nonparametric method for automatic correction of intensity nonuniformity in MRI data, IEEE Transactions on Medical Imaging, vol.17, issue.1, pp.87-97, 1998. ,
REST: a toolkit for resting-state functional magnetic resonance imaging data processing, PLoS One, vol.6, issue.9, p.25031, 2011. ,
N4itk: Improved n3 bias correction, IEEE Transactions on Medical Imaging, vol.29, issue.6, pp.1310-1320, 2010. ,
Large-scale evaluation of ants and freesurfer cortical thickness measurements, NeuroImage, vol.99, pp.166-179, 2014. ,
Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy, Journal of Magnetic Resonance Imaging, vol.15, issue.2, pp.203-209, 2002. ,
Anatomically plausible models and quality assurance criteria for online mono-and multi-modal medical image registration, Physics in Medicine and Biology, vol.63, issue.15, p.155016, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01962468
Biomechanical quality assurance criteria for deformable image registration algorithms used in radiotherapy guidance, Physics in Medicine & Biology, vol.65, issue.1, p.15006, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02377664