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 (ISPA, 2017)

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 (ICPR, 2018)

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 (ISBI, 2019)

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)

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 (2020)