Sarah Matta

According to our database, Sarah Matta authored at least 4 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generalizing deep learning models for medical image classification.

Sarah Matta, Mathieu Lamard, Philippe Zhang, Alexandre Le Guilcher, Laurent Borderie, Béatrice Cochener, Gwenolé Quellec

CoRR, 2024

2023

Federated Learning for Diabetic Retinopathy Detection in a Multi-center Fundus Screening Network.

Sarah Matta, Mariem Ben Hassine, Clément Lecat, Laurent Borderie, Alexandre Le Guilcher, Pascale Massin, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images.

Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, Ching-Wei Wang, Shih-Chang Lo, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu

IEEE Trans. Medical Imaging, 2022

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images.

Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu

CoRR, 2022