Saillard, Charlie

A deep learning model to predict RNA-Seq expression of tumours from whole-slide images

Schmauch, B., Romagnoni, A., Pronier, E., Saillard, C., Maillé, P., Calderaro, J., Kamoun, A., Sefta, M., Toldo, S., Zaslavskiy, M., et al. (2020) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 533

Scaling Self-Supervised Learning for Histopathology with Masked Image Modeling

Filiot, A., Ghermi, R., Olivier, A., Jacob, P., Fidon, L., Camara, A., Mac Kain, A., Saillard, C., & Schiratti, J.-B. (2023) · medRxiv

AI in cancer detectionDomain Adaptation and Few-Shot Learning

Cited by 148

Distilling Foundation Models for Robust and Efficient Models in Digital Pathology

Filiot, A., Dop, N., Tchita, O., Riou, A., Dubois, R., Peeters, T., Valter, D., Scalbert, M., Saillard, C., Robin, G., et al. (2026) · Lecture Notes in Computer Science

AI in cancer detectionAdvanced Neural Network Applications

Cited by 17

Abstract LB174: H-optimus-1: A foundation model for computational histopathology

Scalbert, M., Saillard, C., Peeters, T., Gonzalez, L., Valter, D., Llinares-López, F., Mariet, Z. E., & Jenatton, R. (2026) · Cancer Research

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 3