Mathieu Lamard

4.8k citations

65 papers · 2.7k indexed · 4 hit papers · h-index 25

Impact in

Ophthalmology top 0.5%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
Radiology, Nuclear Medicine and Imaging top 0.5%
- Retinal Imaging and Analysis

Papers in ⓘ

Computer Vision and Pattern Recognition 35
- Image Retrieval and Classification Techniques 23
- Advanced Image and Video Retrieval Techniques 9
- Video Analysis and Summarization 6
Radiology, Nuclear Medicine and Imaging 35
- Retinal Imaging and Analysis 30

Co-authors: Gwenolé Quellec (56 shared papers)Béatrice Cochener (51 shared papers)Guy Cazuguel (37 shared papers)Christian Roux (13 shared papers)Pascale Massin (11 shared papers)Katia Charrière (8 shared papers)Ali Erginay (6 shared papers)Étienne Decencière (5 shared papers)
Journals: Medical Image Analysis (8 papers)IEEE Transactions on Medical Imaging (5 papers)Scientific Reports (4 papers)IEEE Transactions on Image Processing (2 papers)Investigative Ophthalmology & Visual Science (2 papers)
Partner nations: France United States Morocco

In The Last Decade

Mathieu Lamard

64 papers receiving 2.6k citations

Hit Papers

align trajectories log scale

A review of deep learning-based information fusion techniques for multimodal medical image classification 2024 · 54 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 Computers in Biology and Medicine
2017 Medical Image Analysis
2013 IRBM
2013 JAMA Ophthalmology

Peers

Countries citing papers authored by Mathieu Lamard

Since Specialization

Citations

This map shows the geographic impact of Mathieu Lamard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mathieu Lamard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Lamard more than expected).

Fields of papers citing papers by Mathieu Lamard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathieu Lamard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mathieu Lamard. The network helps show where Mathieu Lamard may publish in the future.

Co-authors

The 25 scholars most cited alongside Mathieu Lamard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathieu Lamard Line = papers co-authored together Mathieu Lamard links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	TeleOphta: Machine learning and image processing methods for teleophthalmology IRBM ·Étienne Decencière, Guy Cazuguel, Xiaofeng Zhang, Guillaume Thibault, J.C. Klein, Fernand Meyer, Beatriz Marcotegui, Gwenolé Quellec, Mathieu Lamard, Ronan Danno, Damien Elie, Pascale Massin, Z. Viktor, Ali Erginay, B. Laÿ, A. Chabouis Hit paper breakdown →	2013	343
2	Deep image mining for diabetic retinopathy screening Medical Image Analysis ·Gwenolé Quellec, Katia Charrière, Yassine Boudi, Béatrice Cochener, Mathieu Lamard Hit paper breakdown →	2017	329
3	Automated Analysis of Retinal Images for Detection of Referable Diabetic Retinopathy JAMA Ophthalmology ·Michael D. Abràmoff, James C. Folk, Dennis P. Han, Jonathan D. Walker, David F. Williams, Stephen R. Russell, Pascale Massin, Béatrice Cochener, Philippe Gain, Li Tang, Mathieu Lamard, Daniela C. Moga, Gwenolé Quellec, Meindert Niemeijer Hit paper breakdown →	2013	322
4	Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs IEEE Transactions on Medical Imaging ·Gwenolé Quellec, Mathieu Lamard, P.M. Josselin, Guy Cazuguel, Béatrice Cochener, Christian Roux	2008	257
5	Exudate detection in color retinal images for mass screening of diabetic retinopathy Medical Image Analysis ·Xiwei Zhang, Guillaume Thibault, Étienne Decencière, Beatriz Marcotegui, Bruno Laÿ, Ronan Danno, Guy Cazuguel, Gwenolé Quellec, Mathieu Lamard, Pascale Massin, A. Chabouis, Z. Victor, Ali Erginay	2014	197
6	Multiple-Instance Learning for Medical Image and Video Analysis IEEE Reviews in Biomedical Engineering ·Gwenolé Quellec, Guy Cazuguel, Béatrice Cochener, Mathieu Lamard	2017	156
7	A multiple-instance learning framework for diabetic retinopathy screening Medical Image Analysis ·Gwenolé Quellec, Mathieu Lamard, Michael D. Abràmoff, Étienne Decencière, Bruno Laÿ, Ali Erginay, Béatrice Cochener, Guy Cazuguel	2012	71
8	Fast Wavelet-Based Image Characterization for Highly Adaptive Image Retrieval IEEE Transactions on Image Processing ·Gwenolé Quellec, Mathieu Lamard, Guy Cazuguel, Béatrice Cochener, C. Roux	2011	71
9	Automatic detection of rare pathologies in fundus photographs using few-shot learning Medical Image Analysis ·Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener	2020	70
10	Adaptive Nonseparable Wavelet Transform via Lifting and its Application to Content-Based Image Retrieval IEEE Transactions on Image Processing ·Gwenolé Quellec, Mathieu Lamard, Guy Cazuguel, Béatrice Cochener, Christian Roux	2009	69
11	Multiple-Instance Learning for Anomaly Detection in Digital Mammography IEEE Transactions on Medical Imaging ·Gwenolé Quellec, Mathieu Lamard, Michel Cozic, Gouenou Coatrieux, Guy Cazuguel	2016	61
12	A review of deep learning-based information fusion techniques for multimodal medical image classification Computers in Biology and Medicine ·Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec Hit paper breakdown →	2024	54
13	Case Retrieval in Medical Databases by Fusing Heterogeneous Information IEEE Transactions on Medical Imaging ·Gwenolé Quellec, Mathieu Lamard, Guy Cazuguel, Christian Roux, Béatrice Cochener	2010	48
14	Real-Time Segmentation and Recognition of Surgical Tasks in Cataract Surgery Videos IEEE Transactions on Medical Imaging ·Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Guy Cazuguel	2014	46
15	ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis Medical Image Analysis ·Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener	2021	44
16	A Low Distorsion and Reversible Watermark: Application to Angiographic Images of the Retina PubMed ·Gouenou Coatrieux, John Puentes, C. Roux, Mathieu Lamard, W. Daccache	2005	38
17	Anomaly classification in digital mammography based on multiple‐instance learning IET Image Processing ·Abdelali Elmoufidi, Khalid El Fahssi, Said Jai Andaloussi, Abderrahim Sekkaki, Gwenolé Quellec, Mathieu Lamard	2017	35
18	Real-time recognition of surgical tasks in eye surgery videos Medical Image Analysis ·Gwenolé Quellec, Katia Charrière, Mathieu Lamard, Zakarya Droueche, Christian Roux, Béatrice Cochener, Guy Cazuguel	2014	34
19	Real-Time Task Recognition in Cataract Surgery Videos Using Adaptive Spatiotemporal Polynomials IEEE Transactions on Medical Imaging ·Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Guy Cazuguel	2014	34
20	Automatic detection of referral patients due to retinal pathologies through data mining Medical Image Analysis ·Gwenolé Quellec, Mathieu Lamard, Ali Erginay, A. Chabouis, Pascale Massin, Béatrice Cochener, Guy Cazuguel	2015	33

About Mathieu Lamard

Mathieu Lamard is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Ophthalmology, Artificial Intelligence and Computational Theory and Mathematics, having authored 65 papers that have together received 2.7k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (30 papers), Image Retrieval and Classification Techniques (23 papers), Retinal Diseases and Treatments (19 papers), Glaucoma and retinal disorders (12 papers), Advanced Image and Video Retrieval Techniques (9 papers), AI in cancer detection (7 papers), Rough Sets and Fuzzy Logic (7 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Ophthalmology (1.3k citations), Radiology, Nuclear Medicine and Imaging (1.9k citations), Health Information Management (285 citations), Computer Vision and Pattern Recognition (1.2k citations) and Health Informatics (47 citations). Mathieu Lamard has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Gwenolé Quellec, Béatrice Cochener, Guy Cazuguel, Christian Roux, Pascale Massin, Katia Charrière, Ali Erginay, Étienne Decencière, A. Chabouis and Ronan Danno. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Scientific Reports, IEEE Transactions on Image Processing and Investigative Ophthalmology & Visual Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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