2026 Hugues Talbot: 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	34	12085	11735	304	294	290	5619

Hugues Talbot publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Hugues Talbot sits on this spectrum.

32 publications 991+

This scientist: 290 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Hugues Talbot D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Hugues Talbot sits on this spectrum.

30 D-Index 131+

This scientist: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Hugues Talbot is affiliated with the University of Paris-Saclay in France. Their research spans the intersecting domains of Medicine and Computer Science, with a particular focus on applications in medical imaging and oncology. Across these broad fields, Talbot's work addresses specialized areas such as Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Oncology, Artificial Intelligence, and Biomedical Engineering.

The scientist's primary research topics include Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, Cell Image Analysis Techniques, Cancer Immunotherapy and Biomarkers, Advanced X-ray and CT Imaging, Body Composition Measurement Techniques, and AI applications in cancer detection.

Talbot's publication record features numerous papers in both high-impact and specialized venues. Frequent publication outlets include:

arXiv (Cornell University)
Diagnostic and Interventional Imaging
2022 IEEE International Conference on Image Processing (ICIP)
Journal of Mathematical Imaging and Vision
Annals of Oncology

Among notable papers authored or co-authored by Talbot are:

Trastuzumab deruxtecan in metastatic breast cancer with variable HER2 expression: the phase 2 DAISY trial (2023), published in Nature Medicine
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients (2021), published in Nature Communications
Clarification of Definitions of Hyperprogressive Disease During Immunotherapy for Non-Small Cell Lung Cancer (2020), published in JAMA Oncology
Influence of Magnetic Field Strength on Magnetic Resonance Imaging Radiomics Features in Brain Imaging, an In Vitro and In Vivo Study (2021), published in Frontiers in Oncology
Myocardial Perfusion Simulation for Coronary Artery Disease: A Coupled Patient-Specific Multiscale Model (2020), published in Annals of Biomedical Engineering

Talbot has collaborated frequently with several researchers, including Nathalie Lassau, Younes Belkouchi, Samy Ammari, Littisha Lawrance, and Théodore Aouad. These collaborations have contributed to advancements in both clinical and computational aspects of medical imaging and disease diagnosis.

In addition to journal articles, Talbot has contributed to academic books, notably publishing with Springer Science+Business Media. One such work is "Reproducible Research in Pattern Recognition" (2021).

Best Publications

SOFA: A Multi-Model Framework for Interactive Physical Simulation

François Faure;Christian Duriez;Hervé Delingette;Jérémie Allard

473
Citations
Power Watershed: A Unifying Graph-Based Optimization Framework

C Couprie;L Grady;L Najman;H Talbot

396
Citations
Mathematical Morphology: from theory to applications

Laurent Najman;Hugues Talbot

377
Citations
Directional morphological filtering

P. Soille;H. Talbot

232
Citations
Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images

S. Valero;J. Chanussot;J. A. Benediktsson;H. Talbot

232
Citations
The performance of SolarScan: an automated dermoscopy image analysis instrument for the diagnosis of primary melanoma.

Scott W. Menzies;Leanne Bischof;Hugues Talbot;Alex Gutenev

214
Citations
Globally minimal surfaces by continuous maximal flows

B. Appleton;H. Talbot

198
Citations
Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest

Camille Couprie;Leo Grady;Laurent Najman;Hugues Talbot

189
Citations
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.

Nathalie Lassau;Samy Ammari;Emilie Chouzenoux;Hugo Gortais

169
Citations
Globally Optimal Geodesic Active Contours

Ben Appleton;Hugues Talbot

159
Citations
Fast computation of morphological operations with arbitrary structuring elements

Marc Van Droogenbroeck;Marc Van Droogenbroeck;Hugues Talbot

135
Citations
A Majorize-Minimize Subspace Approach for $ll_2-ll_0$ Image Regularization

Emilie Chouzenoux;Anna Jezierska;Jean-Christophe Pesquet;Hugues Talbot

126
Citations
The phase only transform for unsupervised surface defect detection

Dror Aiger;Hugues Talbot

123
Citations
Unseeded region growing for 3D image segmentation

Zheng Lin;Jesse Jin;Hugues Talbot

120
Citations
System and method for examining, recording and analysing dermatological conditions

Victor Skladnev;Alex Gutenev;Scott Menzies;Richard Thompson

118
Citations
Path Openings and Closings

Henk Heijmans;Michael Buckley;Hugues Talbot

116
Citations
Complete ordering and multivariate mathematical morphology

H. Talbot;C. Evans;R. Jones

110
Citations
A Convex Approach for Image Restoration with Exact Poisson--Gaussian Likelihood

Emilie Chouzenoux;Anna Jezierska;Jean-Christophe Pesquet;Hugues Talbot

104
Citations
Efficient complete and incomplete path openings and closings

Hugues Talbot;Ben Appleton

99
Citations
Euclidean skeletons and conditional bisectors

Hugues Talbot;Luc M. Vincent

99
Citations
A Majorize-Minimize subspace approach for l2-l0 image regularization

Emilie Chouzenoux;Anna Jezierska;Jean-Christophe Pesquet;Hugues Talbot

98
Citations
Curvilinear Structure Analysis by Ranking the Orientation Responses of Path Operators

Odyssee Merveille;Hugues Talbot;Laurent Najman;Nicolas Passat

90
Citations
Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology.

Alice Dufour;Olena Tankyevych;Benoît Naegel;Hugues Talbot

85
Citations
Dual constrained TV-based regularization on graphs

Camille Couprie;Leo J. Grady;Laurent Najman;Jean-Christophe Pesquet

82
Citations

Frequent Co-Authors

Laurent Najman École Supérieure d'Ingénieurs en Électrotechnique et Électronique

Jean-Christophe Pesquet CentraleSupélec

Michael Buckley University of Manchester

Leo Grady Paige

Jocelyn Chanussot Grenoble Alpes University

William H. McCarthy University of Sydney

Jon Atli Benediktsson University of Iceland

Yi Zhang Nanyang Technological University

Gilbert Engler INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

Ai Qun Liu Hong Kong Polytechnic University

External Links

Personal website of Hugues Talbot

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