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Gwenole Quellec

Gwenole Quellec

D-Index & Metrics

Computer Science

D-Index
37
Citations
7463
World Ranking
10583
National Ranking
259

Overview

Gwenole Quellec is affiliated with Inserm in France and specializes in research that intersects Medicine and Computer Science, with a particular focus on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Artificial Intelligence, Computer Vision and Pattern Recognition, and Health Information Management.

Their research topics predominantly cover Retinal Imaging and Analysis, Retinal Diseases and Treatments, Retinal and Optic Conditions, Glaucoma and retinal disorders, AI applications in cancer detection, COVID-19 diagnosis using AI, and Radiomics and Machine Learning in Medical Imaging.

Several notable recent publications exemplify their contributions to the field. These include:

  • "Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research," 2021, Data
  • "Automatic detection of rare pathologies in fundus photographs using few-shot learning," 2020, Medical Image Analysis
  • "A review of deep learning-based information fusion techniques for multimodal medical image classification," 2024, Computers in Biology and Medicine
  • "CaDIS: Cataract dataset for surgical RGB-image segmentation," 2021, Medical Image Analysis
  • "ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis," 2021, Medical Image Analysis

Their work has been published in a variety of venues, with notable frequency in:

  • arXiv (Cornell University) - 19 publications
  • Scientific Reports - 6 publications
  • Medical Image Analysis - 5 publications
  • SSRN Electronic Journal - 4 publications
  • Computers in Biology and Medicine - 3 publications

Frequent co-authors collaborating with Gwenole Quellec include:

  • Mathieu Lamard
  • Béatrice Cochener
  • Pierre-Henri Conze
  • Mostafa El Habib Daho
  • Ramin Tadayoni

Best Publications

  • Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs

    Meindert Niemeijer;Bram van Ginneken;Michael J Cree;Atsushi Mizutani

  • TeleOphta: Machine learning and image processing methods for teleophthalmology

    E. Decencière;G. Cazuguel;G. Cazuguel;X. Zhang;G. Thibault

  • Deep image mining for diabetic retinopathy screening.

    Gwenolé Quellec;Katia Charrière;Yassine Boudi;Béatrice Cochener

  • Automated Analysis of Retinal Images for Detection of Referable Diabetic Retinopathy

    Michael D. Abràmoff;James C. Folk;Dennis P. Han;Jonathan D. Walker

  • Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs

    G. Quellec;M. Lamard;P.M. Josselin;G. Cazuguel

  • Automated early detection of diabetic retinopathy.

    Michael D. Abràmoff;Michael D. Abràmoff;Michael D. Abràmoff;Joseph M. Reinhardt;Stephen R. Russell;Stephen R. Russell;James C. Folk;James C. Folk

  • IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

    Prasanna Porwal;Prasanna Porwal;Samiksha Pachade;Manesh Kokare;Girish Deshmukh

  • Exudate detection in color retinal images for mass screening of diabetic retinopathy

    Xiwei Zhang;Guillaume Thibault;Etienne Decencière;Beatriz Marcotegui

  • Wavelet optimization for content-based image retrieval in medical databases.

    Gwénolé Quellec;Gwénolé Quellec;Mathieu Lamard;Mathieu Lamard;Guy Cazuguel;Guy Cazuguel;Béatrice Cochener;Béatrice Cochener

  • Multiple-Instance Learning for Medical Image and Video Analysis

    Gwenole Quellec;Guy Cazuguel;Beatrice Cochener;Mathieu Lamard

  • Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD-OCT of the Macula

    Gwenole Quellec;Kyungmoo Lee;Martin Dolejsi;Mona K Garvin

  • Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research

    Samiksha Pachade;Prasanna Porwal;Dhanshree Thulkar;Manesh Kokare

  • Validating retinal fundus image analysis algorithms: issues and a proposal.

    Emanuele Trucco;Alfredo Ruggeri;Thomas Karnowski;Luca Giancardo

  • Optimal Filter Framework for Automated, Instantaneous Detection of Lesions in Retinal Images

    Gwénolé Quellec;Stephen R Russell;Michael D Abràmoff

  • A multiple-instance learning framework for diabetic retinopathy screening

    Gwénolé Quellec;Mathieu Lamard;Mathieu Lamard;Michael D. Abràmoff;Etienne Decencière

  • Adaptive Nonseparable Wavelet Transform via Lifting and its Application to Content-Based Image Retrieval

    G. Quellec;M. Lamard;G. Cazuguel;B. Cochener

  • Fast Wavelet-Based Image Characterization for Highly Adaptive Image Retrieval

    G. Quellec;M. Lamard;G. Cazuguel;B. Cochener

  • CATARACTS: Challenge on automatic tool annotation for cataRACT surgery

    Hassan Al Hajj;Mathieu Lamard;Pierre-Henri Conze;Soumali Roychowdhury

  • Automatic detection of rare pathologies in fundus photographs using few-shot learning.

    Gwenolé Quellec;Mathieu Lamard;Pierre-Henri Conze;Pascale Massin

  • Multiple-Instance Learning for Anomaly Detection in Digital Mammography

    Gwenole Quellec;Mathieu Lamard;Michel Cozic;Gouenou Coatrieux

  • Content Based Image Retrieval based on Wavelet Transform coefficients distribution

    M. Lamard;G. Cazuguel;G. Quellec;L. Bekri

  • Iconography : TeleOphta: Machine learning and image processing methods for teleophthalmology

    E Decencière;G Cazuguel;X Zhang;G Thibault

Frequent Co-Authors

Mathieu Lamard
Mathieu Lamard University of Western Brittany
Christian Roux
Christian Roux Institut Mines-Télécom
Gouenou Coatrieux
Gouenou Coatrieux IMT Atlantique
Michael D. Abràmoff
Michael D. Abràmoff University of Iowa
Danail Stoyanov
Danail Stoyanov University College London
Meindert Niemeijer
Meindert Niemeijer Digital Diagnostics Inc.
Edwin M. Stone
Edwin M. Stone University of Iowa
Todd E. Scheetz
Todd E. Scheetz University of Iowa
Fabrice Meriaudeau
Fabrice Meriaudeau University of Franche-Comté
David A. Mackey
David A. Mackey University of Western Australia

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