Texture analysis for colorectal tumour biopsies using multispectral imagery. - Remy Peyret; Ahmed Bouridane; Somaya Ali Al-Máadeed; Suchithra Kunhoth; Fouad Khelifi (EMBC, 2015)

Multispectral imaging and machine learning for automated cancer diagnosis. - Somaya Al-Máadeed; Suchithra Kunhoth; Ahmed Bouridane; Remy Peyret (IWCMC, 2017)

Automated classification of cancer tissues using multispectral imagery. - Remy Peyret (2017)

Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization. - Remy Peyret; Ahmed Bouridane; Fouad Khelifi; Muhammad Atif Tahir; Somaya Ali Al-Máadeed (Neurocomputing, 2018)

Multicenter automatic detection of invasive carcinoma on breast whole slide images. - Rémy Peyret; Nicolas Pozin; Stéphane Sockeel; Solène-Florence Kammerer-Jacquet; Julien Adam; Claire Bocciarelli; Yoan Ditchi; Christophe Bontoux; Thomas Depoilly; Loris Guichard; Elisabeth Lanteri; Marie Sockeel; et al. (CoRR, 2023)

Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology. - Nicolas Nerrienet; Rémy Peyret; Marie Sockeel; Stéphane Sockeel (CoRR, 2023)

Convolutional Neural Network-Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study. - Remy Peyret; Duaa Hamed Alsaeed; Fouad Khelifi; Nadia Al-Ghreimil; Heyam H. Al-Baity; Ahmed Bouridane (CoRR, 2023)

Classification in Histopathology: A unique deep embeddings extractor for multiple classification tasks. - Adrien Nivaggioli; Nicolas Pozin; Rémy Peyret; Stéphane Sockeel; Marie Sockeel; Nicolas Nerrienet; Marceau Clavel; Clara Simmat; Catherine Miquel (CoRR, 2023)

Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification. - Lucas Dedieu; Nicolas Nerrienet; Adrien Nivaggioli; Clara Simmat; Marceau Clavel; Arnaud Gauthier; Stéphane Sockeel; Rémy Peyret (CoRR, 2024)