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Journal Articles
- 2024
[j4]Camille Franchet
, Robin Schwob, Guillaume Bataillon, Charlotte Syrykh, Sarah Péricart, François-Xavier Frenois, Frédérique Penault-Llorca, Magali Lacroix-Triki, Laurent Arnould, Jérôme Lemonnier, Jean-Marc Alliot, Thomas Filleron, Pierre Brousset:
Bias reduction using combined stain normalization and augmentation for AI-based classification of histological images. Comput. Biol. Medicine 171: 108130 (2024)- 2022
- [j3]Ismat Ara Reshma, Camille Franchet, Margot Gaspard, Radu Tudor Ionescu, Josiane Mothe, Sylvain Cussat-Blanc, Hervé Luga, Pierre Brousset:
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training - The Case of Cancer Detection. J. Digit. Imaging 35(5): 1326-1349 (2022) - 2020
- [j2]Frédéric Escudié, Charles Van Goethem, David Grand, Julie Vendrell, Anna Vigier, Pierre Brousset, Solène M. Evrard, Jérôme Solassol, Janick Selves:
MIAmS: microsatellite instability detection on NGS amplicons data. Bioinform. 36(6): 1915-1916 (2020) - [j1]Charlotte Syrykh, Arnaud Abreu, Nadia Amara, Aurore Siegfried, Véronique Maisongrosse, François X. Frenois, Laurent Martin, Cédric Rossi, Camille Laurent, Pierre Brousset:
Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning. npj Digit. Medicine 3 (2020)
Conference and Workshop Papers
- 2022
- [c5]Ismat Ara Reshma, Josiane Mothe, Sylvain Cussat-Blanc, Hervé Luga, Camille Franchet, Margot Gaspard, Pierre Brousset, Radu Tudor Ionescu:
A Study on the Impact of Class Distribution on Deep Learning - The Case of Histological Images and Cancer Detection - Extended Abstract. CIRCLE 2022 - 2019
- [c4]Sonia Mejbri, Camille Franchet, Ismat Ara Reshma, Josiane Mothe, Pierre Brousset, Emmanuel Faure:
Deep Analysis of CNN Settings for New Cancer Whole-slide Histological Images Segmentation: The Case of Small Training Sets. BIOIMAGING 2019: 120-128 - [c3]Arnaud Abreu, Camille Franchet, François-Xavier Frenois, Pierre Brousset, Jean-Philippe Girard, Patrice Denéfle, Benoît Naegel, Cédric Wemmert:
Ensemble Of Neural Networks For High Endothelial Venules Detection In Meca-79 Immunohistochemistry Images. ISBI 2019: 938-942 - 2018
- [c2]Arnaud Abreu, François-Xavier Frenois, Salvatore Valitutti, Pierre Brousset, Patrice Denéfle, Benoît Naegel, Cédric Wemmert:
Model-based graph segmentation in 2-D fluorescence microsecopy images. ICPR 2018: 3844-3849 - 2017
- [c1]Arnaud Abreu, François-Xavier Frenois, Salvatore Valitutti, Pierre Brousset, Patrice Denéfle, Benoît Naegel, Cédric Wemmert:
Optimal cut in minimum spanning trees for 3-D cell nuclei segmentation. ISPA 2017: 195-199
Coauthor Index
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