Arnaud Abreu

According to our database, Arnaud Abreu authored at least 5 papers between 2017 and 2020.

Collaborative distances:

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

2020

Réseaux neuronaux convolutifs profonds et représentations hiérarchiques: applications et perspectives pour la pathologie numérique. (Deep convolutional neural networks and hierarchical representations: applications and perspectives for digital pathology).

Arnaud Abreu

PhD thesis, 2020

Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning.

Charlotte Syrykh, Arnaud Abreu, Nadia Amara, Aurore Siegfried, Véronique Maisongrosse, François X. Frenois, Laurent Martin, Cédric Rossi, Camille Laurent, Pierre Brousset

npj Digit. Medicine, 2020

2019

Ensemble Of Neural Networks For High Endothelial Venules Detection In Meca-79 Immunohistochemistry Images.

Arnaud Abreu, Camille Franchet, François-Xavier Frenois, Pierre Brousset, Jean-Philippe Girard, Patrice Denéfle, Benoît Naegel, Cédric Wemmert

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Model-based graph segmentation in 2-D fluorescence microsecopy images.

Arnaud Abreu, François-Xavier Frenois, Salvatore Valitutti, Pierre Brousset, Patrice Denéfle, Benoît Naegel, Cédric Wemmert

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Optimal cut in minimum spanning trees for 3-D cell nuclei segmentation.

Arnaud Abreu, François-Xavier Frenois, Salvatore Valitutti, Pierre Brousset, Patrice Denéfle, Benoît Naegel, Cédric Wemmert

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017