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Computer vision and time series analysis using deep/machine learning.

DeepSCEM: A User‐Friendly Solution for Deep Learning‐Based Image Segmentation in Cellular Electron Microscopy (2025) Article

Cyril Meyer, Victor Hanss, Etienne Baudrier, Benoît Naegel, Patrick Schultz

Biology of the Cell
Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles (2025) Communication

Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz, Jonathan Weber, Germain Forestier

IEEE International Joint Conference on Neural Networks (IJCNN)
Combining max-tree and CNN for segmentation of cellular FIB-SEM images (2022) Communication

Cyril Meyer, Étienne Baudrier, Patrick Schultz, Benoit Naegel

Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022
Automatic multi class organelles segmentation for cellular FIB-SEM images (2021) Communication

Cyril Meyer, Véronique Mallouh, Danièle Spehner, Etienne Baudrier, Patrick Schultz, Benoit Naegel

International Symposium on Biomedical Imaging (ISBI)
Cerebrovascular Network Segmentation of MRA Images With Deep Learning (2019) Communication

Pedro Sanches, Cyril Meyer, Vincent Vigon, Benoit Naegel

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

Cyril Meyer