José V. Manjón

Orcid: 0000-0001-6640-927X

According to our database1, José V. Manjón authored at least 58 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI.
CoRR, 2024

DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI.
CoRR, 2024

2022
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation.
Medical Image Anal., 2022

vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis.
Frontiers Neuroinformatics, 2022

Longitudinal detection of new MS lesions using Deep Learning.
CoRR, 2022

2021
Multi-scale graph-based grading for Alzheimer's disease prediction.
Medical Image Anal., 2021

POPCORN: Progressive Pseudo-Labeling with Consistency Regularization and Neighboring.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation.
NeuroImage, 2020

Towards broader generalization of deep learning methods for multiple sclerosis lesion segmentation.
CoRR, 2020

RegQCNET: Deep Quality Control for Image-to-template Brain MRI Registration.
CoRR, 2020

Blind MRI Brain Lesion Inpainting Using Deep Learning.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

2019
MRI denoising using Deep Learning and Non-local averaging.
CoRR, 2019

Multi-scale Graph-based Grading for Alzheimer's Disease Prediction.
CoRR, 2019

An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion.
CoRR, 2019

AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Corrigendum to "HIPS: A new hippocampus subfield segmentation method" [NeuroImage 163 (2017) 286-295].
NeuroImage, 2018

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.
NeuroImage, 2018

MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting.
Comput. Medical Imaging Graph., 2018

Adaptive fusion of texture-based grading for Alzheimer's disease classification.
Comput. Medical Imaging Graph., 2018

MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

MRI Denoising Using Deep Learning.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Graph of Hippocampal Subfields Grading for Alzheimer's Disease Prediction.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Graph of Brain Structures Grading for Early Detection of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

LesionBrain: An Online Tool for White Matter Lesion Segmentation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

2017
Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.
NeuroImage, 2017

HIPS: A new hippocampus subfield segmentation method.
NeuroImage, 2017

CERES: A new cerebellum lobule segmentation method.
NeuroImage, 2017

Early Prediction of Alzheimer's Disease with Non-local Patch-Based Longitudinal Descriptors.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Hippocampus Subfield Segmentation Using a Patch-Based Boosted Ensemble of Autocontext Neural Networks.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Adaptive Fusion of Texture-Based Grading: Application to Alzheimer's Disease Detection.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Automated cartilage segmentation from 3D MR images of hip joint using an ensemble of neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
An Optimized PatchMatch for multi-scale and multi-feature label fusion.
NeuroImage, 2016

volBrain: An Online MRI Brain Volumetry System.
Frontiers Neuroinformatics, 2016

Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification.
Int. J. Comput. Assist. Radiol. Surg., 2016

Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

High Resolution Hippocampus Subfield Segmentation Using Multispectral Multiatlas Patch-Based Label Fusion.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Non-local MRI Library-Based Super-Resolution: Application to Hippocampus Subfield Segmentation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

HIST: HyperIntensity Segmentation Tool.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Patch-Based DTI Grading: Application to Alzheimer's Disease Classification.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

2015
MRI noise estimation and denoising using non-local PCA.
Medical Image Anal., 2015

Patch-Based Segmentation from MP2RAGE Images: Comparison to Conventional Techniques.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

2014
Nonlocal Intracranial Cavity Extraction.
Int. J. Biomed. Imaging, 2014

2013
Collaborative patch-based super-resolution for diffusion-weighted images.
NeuroImage, 2013

2012
BEaST: Brain extraction based on nonlocal segmentation technique.
NeuroImage, 2012

Simultaneous segmentation and grading of anatomical structures for patient's classification: Application to Alzheimer's disease.
NeuroImage, 2012

New methods for MRI denoising based on sparseness and self-similarity.
Medical Image Anal., 2012

A CANDLE for a deeper in vivo insight.
Medical Image Anal., 2012

2011
Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation.
NeuroImage, 2011

Simultaneous Segmentation and Grading of Hippocampus for Patient Classification with Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010
Improved estimates of partial volume coefficients from noisy brain MRI using spatial context.
NeuroImage, 2010

Non-local MRI upsampling.
Medical Image Anal., 2010

Robust Rician noise estimation for MR images.
Medical Image Anal., 2010

MRI Superresolution Using Self-Similarity and Image Priors.
Int. J. Biomed. Imaging, 2010

Nonlocal Patch-Based Label Fusion for Hippocampus Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
Multicomponent MR Image Denoising.
Int. J. Biomed. Imaging, 2009

An Object-Based Method for Rician Noise Estimation in MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008
MRI denoising using Non-Local Means.
Medical Image Anal., 2008

2007
A nonparametric MRI inhomogeneity correction method.
Medical Image Anal., 2007


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