World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5619
World Ranking
12087
National Ranking
304

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

  • Power Watershed: A Unifying Graph-Based Optimization Framework

    C Couprie;L Grady;L Najman;H Talbot

  • Mathematical Morphology: from theory to applications

    Laurent Najman;Hugues Talbot

  • Directional morphological filtering

    P. Soille;H. Talbot

  • 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

  • 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

  • Globally minimal surfaces by continuous maximal flows

    B. Appleton;H. Talbot

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

    Camille Couprie;Leo Grady;Laurent Najman;Hugues Talbot

  • 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

  • Globally Optimal Geodesic Active Contours

    Ben Appleton;Hugues Talbot

  • Fast computation of morphological operations with arbitrary structuring elements

    Marc Van Droogenbroeck;Marc Van Droogenbroeck;Hugues Talbot

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

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

  • The phase only transform for unsupervised surface defect detection

    Dror Aiger;Hugues Talbot

  • Unseeded region growing for 3D image segmentation

    Zheng Lin;Jesse Jin;Hugues Talbot

  • System and method for examining, recording and analysing dermatological conditions

    Victor Skladnev;Alex Gutenev;Scott Menzies;Richard Thompson

  • Path Openings and Closings

    Henk Heijmans;Michael Buckley;Hugues Talbot

  • Complete ordering and multivariate mathematical morphology

    H. Talbot;C. Evans;R. Jones

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

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

  • Efficient complete and incomplete path openings and closings

    Hugues Talbot;Ben Appleton

  • Euclidean skeletons and conditional bisectors

    Hugues Talbot;Luc M. Vincent

  • A Majorize-Minimize subspace approach for l2-l0 image regularization

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

  • Curvilinear Structure Analysis by Ranking the Orientation Responses of Path Operators

    Odyssee Merveille;Hugues Talbot;Laurent Najman;Nicolas Passat

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

    Alice Dufour;Olena Tankyevych;Benoît Naegel;Hugues Talbot

  • Dual constrained TV-based regularization on graphs

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

Frequent Co-Authors

Laurent Najman
Laurent Najman École Supérieure d'Ingénieurs en Électrotechnique et Électronique
Jean-Christophe Pesquet
Jean-Christophe Pesquet CentraleSupélec
Michael Buckley
Michael Buckley University of Manchester
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Yi Zhang
Yi Zhang Nanyang Technological University
Xudong Jiang
Xudong Jiang Nanyang Technological University
Gilbert Engler
Gilbert Engler INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Ai Qun Liu
Ai Qun Liu Hong Kong Polytechnic University

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