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Sarah Matta

Showing results (1-10 of 8) with videos related to

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Computers in Biology and Medicine|October 20, 2024
A systematic review of generalization research in medical image classificationSarah Matta, Mathieu Lamard, Philippe Zhang, et al.
Scientific Reports|October 9, 2025
A robust deep learning classifier for screening multiple retinal diseases on optical coherence tomographyPhilippe Zhang, Gwenole Quellec, Sarah Matta, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Domain Generalization for Multi-disease Detection in Fundus PhotographsSarah Matta, Mathieu Lamard, Laurent Borderie, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Context-Aware Vision Language Foundation Models for Ocular Disease Screening in Retinal ImagesLucie Berger, Mathieu Lamard, Philippe Zhang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Federated Learning for Diabetic Retinopathy Detection in a Multi-center Fundus Screening NetworkSarah Matta, Mariem Ben Hassine, Clement Lecat, et al.
Optometry and Vision Science : Official Publication of the American Academy of Optometry|December 13, 2021
Automatic Screening for Ocular Anomalies Using Fundus PhotographsSarah Matta, Mathieu Lamard, Pierre-Henri Conze, et al.
Scientific Reports|July 17, 2023
Towards population-independent, multi-disease detection in fundus photographsSarah Matta, Mathieu Lamard, Pierre-Henri Conze, et al.
IEEE Transactions on Medical Imaging|May 4, 2022
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus ImagesHuihui Fang, Fei Li, Huazhu Fu, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|October 20, 2024
A systematic review of generalization research in medical image classificationSarah Matta, Mathieu Lamard, Philippe Zhang, et al.
Scientific Reports|October 9, 2025
A robust deep learning classifier for screening multiple retinal diseases on optical coherence tomographyPhilippe Zhang, Gwenole Quellec, Sarah Matta, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Domain Generalization for Multi-disease Detection in Fundus PhotographsSarah Matta, Mathieu Lamard, Laurent Borderie, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Context-Aware Vision Language Foundation Models for Ocular Disease Screening in Retinal ImagesLucie Berger, Mathieu Lamard, Philippe Zhang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Federated Learning for Diabetic Retinopathy Detection in a Multi-center Fundus Screening NetworkSarah Matta, Mariem Ben Hassine, Clement Lecat, et al.
Optometry and Vision Science : Official Publication of the American Academy of Optometry|December 13, 2021
Automatic Screening for Ocular Anomalies Using Fundus PhotographsSarah Matta, Mathieu Lamard, Pierre-Henri Conze, et al.
Scientific Reports|July 17, 2023
Towards population-independent, multi-disease detection in fundus photographsSarah Matta, Mathieu Lamard, Pierre-Henri Conze, et al.
IEEE Transactions on Medical Imaging|May 4, 2022
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus ImagesHuihui Fang, Fei Li, Huazhu Fu, et al.
Pageof 1