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Computer Science

D-Index
31
Citations
5288
World Ranking
13491
National Ranking
351

Overview

Mathieu Lamard is affiliated with the University of Western Brittany in France and has contributed extensively to research in the fields of Medicine and Computer Science. Their work predominantly spans areas such as Ophthalmology, Radiology, Nuclear Medicine and Imaging, and Artificial Intelligence, with notable emphasis on Computer Vision and Pattern Recognition as well as Health Information Management.

The research topics covered include:

  • Retinal Imaging and Analysis
  • Retinal Diseases and Treatments
  • Glaucoma and retinal disorders
  • Retinal and Optic Conditions
  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Digital Imaging for Blood Diseases

Lamard has published numerous scientific papers, some of which include:

  • "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
  • "ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis," 2021, Medical Image Analysis
  • "Towards improved breast mass detection using dual-view mammogram matching," 2021, Medical Image Analysis
  • "Two-stage multi-scale breast mass segmentation for full mammogram analysis without user intervention," 2021, Journal of Applied Biomedicine

Frequent co-authors in their research collaborations include Gwenolé Quellec, Pierre-Henri Conze, Béatrice Cochener, Mostafa El Habib Daho, and Ramin Tadayoni.

Their scientific output has been published in various venues with multiple contributions, including:

  • arXiv (Cornell University)
  • Scientific Reports
  • Medical Image Analysis
  • SSRN Electronic Journal
  • Computers in Biology and Medicine

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

  • 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

  • A Comparative Evaluation of a New Generation of Diffractive Trifocal and Extended Depth of Focus Intraocular Lenses

    Beatrice Cochener;Guillaume Boutillier;Mathieu Lamard;Claire Auberger-Zagnoli

  • 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

  • Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks.

    Hassan Al Hajj;Mathieu Lamard;Pierre-Henri Conze;Béatrice Cochener

  • Case Retrieval in Medical Databases by Fusing Heterogeneous Information

    Gwénolé Quellec;Mathieu Lamard;Guy Cazuguel;Christian Roux

  • Real-Time Segmentation and Recognition of Surgical Tasks in Cataract Surgery Videos

    Gwenole Quellec;Mathieu Lamard;Beatrice Cochener;Guy Cazuguel

  • Real-Time Task Recognition in Cataract Surgery Videos Using Adaptive Spatiotemporal Polynomials

    Gwenole Quellec;Mathieu Lamard;Beatrice Cochener;Guy Cazuguel

  • ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis

    Gwenolé Quellec;Hassan Al Hajj;Mathieu Lamard;Pierre-Henri Conze

  • A Low Distorsion and Reversible Watermark: Application to Angiographic Images of the Retina

    G. Coatrieux;M. Lamard;W. Daccache;W. Puentes

  • Towards improved breast mass detection using dual-view mammogram matching

    Yutong Yan;Pierre-Henri Conze;Mathieu Lamard;Gwenolé Quellec

Frequent Co-Authors

Christian Roux
Christian Roux Institut Mines-Télécom
Gouenou Coatrieux
Gouenou Coatrieux IMT Atlantique
Michael D. Abràmoff
Michael D. Abràmoff University of Iowa
Meindert Niemeijer
Meindert Niemeijer Digital Diagnostics Inc.
Danail Stoyanov
Danail Stoyanov University College London
Fakhri Karray
Fakhri Karray Mohamed bin Zayed University of Artificial Intelligence
Hiroshi Fujita
Hiroshi Fujita Gifu University
Bram van Ginneken
Bram van Ginneken Radboud University
Roberto Hornero
Roberto Hornero University of Valladolid

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