World's Best Scientists 2026 revealed!
Pierrick Coupé

Pierrick Coupé

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Computer Science
France
2023

D-Index & Metrics

Computer Science

D-Index
51
Citations
13768
World Ranking
5249
National Ranking
105

Research.com Recognitions

  • 2023 - Research.com Computer Science in France Leader Award

Overview

Pierrick Coupé is affiliated with the University of Bordeaux in France and specializes in research spanning medicine and neuroscience. Their work focuses significantly on advanced neuroimaging techniques and applications, dementia and cognitive impairment research, as well as medical image segmentation techniques. Additional areas of study include functional brain connectivity, brain tumor detection and classification, and Alzheimer's disease research and treatments.

The scientist's most frequent publication venues include arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Human Brain Mapping, Brain Communications, and Scientific Reports. This publication record reflects a strong engagement with both preprint repositories and peer-reviewed journals within the fields of neuroimaging and brain research.

Key recent papers authored or coauthored by Pierrick Coupé include:

  • 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

Collaboration appears to be a significant aspect of Coupé's scholarly activity, with frequent coauthors including José V. Manjón, Boris Mansencal, Thomas Tourdias, Vincent Planche, and Gwénaëlle Catheline. These collaborations highlight an interdisciplinary approach within imaging analysis and neurological disorders research.

Pierrick Coupé's main fields of study are Medicine and Neuroscience, with detailed work in various subfields such as Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition, Psychiatry and Mental Health, and Cognitive Neuroscience. The combination of these fields supports a comprehensive approach to brain imaging and neurological disease investigations.

Main topics of their research work include:

  • Advanced Neuroimaging Techniques and Applications
  • Dementia and Cognitive Impairment Research
  • Medical Image Segmentation Techniques
  • Functional Brain Connectivity Studies
  • Brain Tumor Detection and Classification
  • Advanced MRI Techniques and Applications
  • Alzheimer's disease research and treatments

Best Publications

  • An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images

    P. Coupe;P. Yger;S. Prima;P. Hellier

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

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

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

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

  • Nonlocal Means-Based Speckle Filtering for Ultrasound Images

    P. Coupe;P. Hellier;C. Kervrann;C. Barillot

  • volBrain: An Online MRI Brain Volumetry System

    José V. Manjón;Pierrick Coupé

  • BEaST: brain extraction based on nonlocal segmentation technique.

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

  • Diffusion Weighted Image Denoising Using Overcomplete Local PCA

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

  • Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

    Esther E. Bron;Marion Smits;Wiesje M. van der Flier;Hugo Vrenken

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

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

  • Rician Noise Removal by Non-Local Means Filtering for Low Signal-to-Noise Ratio MRI: Applications to DT-MRI

    Nicolas Wiest-Daesslé;Sylvain Prima;Pierrick Coupé;Sean Patrick Morrissey

  • Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning.

    Simon F. Eskildsen;Pierrick Coupé;Daniel García-Lorenzo;Vladimir S. Fonov

  • Non-local MRI upsampling.

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

  • Bayesian non-local means filter, image redundancy and adaptive dictionaries for noise removal

    Charles Kervrann;Jérôme Boulanger;Pierrick Coupé

  • Robust Rician noise estimation for MR images.

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

  • 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

  • Fast non local means denoising for 3d MR images

    Pierrick Coupé;Pierre Yger;Christian Barillot

  • Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling

    Tong Tong;Robin Wolz;Pierrick Coupé;Joseph V. Hajnal

  • A new method for structural volume analysis of longitudinal brain MRI data and its application in studying the growth trajectories of anatomical brain structures in childhood.

    B. Aubert-Broche;V.S. Fonov;D. García-Lorenzo;D. García-Lorenzo;A. Mouiha

  • MRI noise estimation and denoising using non-local PCA

    José V. Manjón;Pierrick Coupé;Antonio Buades

  • CERES: A new cerebellum lobule segmentation method.

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

  • An Optimized Blockwise Non Local Means Denoising Filter for 3D Magnetic Resonance Images

    Pierrick Coupé;Pierre Yger;Sylvain Prima;Pierre Hellier

Frequent Co-Authors

José V. Manjón
José V. Manjón Universitat Politècnica de València
Vladimir S. Fonov
Vladimir S. Fonov McGill University
Montserrat Robles
Montserrat Robles Universitat Politècnica de València
Jens C. Pruessner
Jens C. Pruessner University of Konstanz
Christian Barillot
Christian Barillot Institut de Recherche en Informatique et Systèmes Aléatoires
Douglas L. Arnold
Douglas L. Arnold Montreal Neurological Institute and Hospital
Pierre Jannin
Pierre Jannin University of Rennes
Michèle Allard
Michèle Allard Centre national de la recherche scientifique, CNRS
Maxime Descoteaux
Maxime Descoteaux Université de Sherbrooke
Jussi Tohka
Jussi Tohka University of Eastern Finland

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