2026 José V. Manjón: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	43	7890	7663	107	105	106	9250

Overview

José V. Manjón is affiliated with the Universitat Politècnica de València in Spain. Their research intersects multiple scientific domains, primarily focusing on Medicine, Computer Science, and Neuroscience. Within these fields, they have contributed extensively to areas such as Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Neurology, Psychiatry and Mental Health, and Cognitive Neuroscience.

Their scientific contributions cover a range of specialized topics, including:

Advanced Neuroimaging Techniques and Applications
Medical Image Segmentation Techniques
Alzheimer's Disease Research and Treatments
Dementia and Cognitive Impairment Research
Functional Brain Connectivity Studies
Brain Tumor Detection and Classification
Fetal and Pediatric Neurological Disorders

Manjón has published extensively, with key recent papers highlighting various aspects of neuroimaging and neurodegenerative disease progression. Among these are:

"Structural progression of Alzheimer's disease over decades: the MRI staging scheme," 2022, Brain Communications
"DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation," 2020, arXiv (Cornell University)
"vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis," 2022, Frontiers in Neuroinformatics
"Toward a unified analysis of cerebellum maturation and aging across the entire lifespan: A MRI analysis," 2021, Human Brain Mapping
"Differential annualized rates of hippocampal subfields atrophy in aging and future Alzheimer's clinical syndrome," 2020, Neurobiology of Aging

The venues where Manjón frequently publishes include:

arXiv (Cornell University)
Human Brain Mapping
bioRxiv (Cold Spring Harbor Laboratory)
Brain Communications
Scientific Reports

Collaborative research plays a significant role in their work, with frequent co-authors being:

Pierrick Coupé
Boris Mansencal
Thomas Tourdias
Vincent Planche
Gwénaëlle Catheline

Best Publications

Adaptive non‐local means denoising of MR images with spatially varying noise levels

José V. Manjón;Pierrick Coupé;Luis Martí-Bonmatí;D. Louis Collins

1212
Citations
Patch-based segmentation using expert priors: application to hippocampus and ventricle segmentation.

Pierrick Coupé;José V. Manjón;Vladimir S. Fonov;Jens C. Pruessner

849
Citations
MRI denoising using non-local means.

José V. Manjón;José Carbonell-Caballero;Juan José Lull;Gracián García-Martí

716
Citations
volBrain: An Online MRI Brain Volumetry System

José V. Manjón;Pierrick Coupé

604
Citations
BEaST: brain extraction based on nonlocal segmentation technique.

Simon Fristed Eskildsen;Pierrick Coupé;Vladimir Fonov;José V. Manjón

580
Citations
Diffusion Weighted Image Denoising Using Overcomplete Local PCA

José V. Manjón;Pierrick Coupé;Luis Concha;Antonio Buades

475
Citations
New methods for MRI denoising based on sparseness and self-similarity.

José V. Manjón;Pierrick Coupé;Antonio Buades;D. Louis Collins

343
Citations
Non-local MRI upsampling.

José V. Manjón;Pierrick Coupé;Antonio Buades;Vladimir S. Fonov

310
Citations
Robust Rician noise estimation for MR images.

Pierrick Coupé;Pierrick Coupé;José V. Manjón;Elias Gedamu;Elias Gedamu;Douglas L. Arnold;Douglas L. Arnold

285
Citations
Towards a unified analysis of brain maturation and aging across the entire lifespan: A MRI analysis.

José E. Romero;Pierrick Coupe;Pierrick Coupe;Enrique Lanuza;Gwenaelle Catheline

261
Citations
MRI noise estimation and denoising using non-local PCA

José V. Manjón;Pierrick Coupé;Antonio Buades

205
Citations
CERES: A new cerebellum lobule segmentation method.

José E. Romero;Pierrick Coupé;Pierrick Coupé;Rémi Giraud;Vinh-Thong Ta;Vinh-Thong Ta

193
Citations
Simultaneous segmentation and grading of anatomical structures for patient's classification: application to Alzheimer's disease.

Pierrick Coupé;Simon F. Eskildsen;José V. Manjón;Vladimir S. Fonov

168
Citations
MRI superresolution using self-similarity and image priors

José V. Manjón;Pierrick Coupé;Antonio Buades;D. Louis Collins

145
Citations
Scoring by nonlocal image patch estimator for early detection of Alzheimer's disease

Pierrick Coupé;Simon F. Eskildsen;José V. Manjón;Vladimir S. Fonov

140
Citations
Adaptive multiresolution non-local means filter for three-dimensional magnetic resonance image denoising

P. Coupe;J.V. Manjon;M. Robles;D.L. Collins

135
Citations
Schizophrenia with auditory hallucinations: a voxel-based morphometry study.

Gracián García-Martí;Eduardo J. Aguilar;Juan J. Lull;Luis Martí-Bonmatí

128
Citations
Automated glioblastoma segmentation based on a multiparametric structured unsupervised classification.

Javier Juan-Albarracín;Elies Fuster-Garcia;José V. Manjón;Montserrat Robles

128
Citations
AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation.

Pierrick Coupé;Boris Mansencal;Michaël Clément;Rémi Giraud

125
Citations
Automated segmentation of medial temporal lobe subregions on in vivo T1-weighted MRI in early stages of Alzheimer's disease

Long Xie;Laura E. M. Wisse;John Pluta;Robin de Flores

118
Citations
Collaborative patch-based super-resolution for diffusion-weighted images

Pierrick Coupé;José V. Manjón;Maxime Chamberland;Maxime Descoteaux

105
Citations
MRI Superresolution Using Self Similarity and Image

Jose Vicente Manjon;Pierrick Coup;Antoni Buades;D. Louis Collins

1
Citations

Frequent Co-Authors

Pierrick Coupé University of Bordeaux

Montserrat Robles Universitat Politècnica de València

Vladimir S. Fonov McGill University

Jussi Tohka University of Eastern Finland

Michèle Allard Centre national de la recherche scientifique, CNRS

Douglas L. Arnold Montreal Neurological Institute and Hospital

Jouko Miettunen Oulu University Hospital

Vesa Kiviniemi Oulu University Hospital

Jens C. Pruessner University of Konstanz

Graham K. Murray University of Cambridge

External Links

Personal website of José V. Manjón Google Scholar page

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