Publications

Preprints

1. Filiot, A., Dop, N., Tchita, O., Riou, A., Dubois, R., Peeters, T., Valter, D., Scalbert, M., Saillard, C., Robin, G., & Olivier, A. (2025). Distilling foundation models for robust and efficient models in digital pathology.
   paper
2. Filiot, A., Jacob, P., Kain, A. M., & Saillard, C. (2024). Phikon-v2, A large and public feature extractor for biomarker prediction.
   paper
3. Filiot, A., Ghermi, R., Olivier, A., Jacob, P., Fidon, L., Kain, A. M., Saillard, C., & Schiratti, J.-B. (2023). Scaling Self-Supervised Learning for Histopathology with Masked Image Modeling. In medRxiv. Cold Spring Harbor Laboratory Press.
   paper

Journal articles

1. Guardiolle, V., Bazoge, A., Morin, E., Daille, B., Toublant, D., Bouzille, G., Merel, Y., Pierre-Jean, M., Filiot, A., Cuggia, M., Wargny, M., Lamer, A., & Gourraud, P. A. (2022). Large-scale Matching Algorithm for Linking Biomedical Data Warehouse Records with the National Mortality Database in France. JMIR Medical Informatics, 10(11).
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2. Oubenali, N., Messaoud, S., Filiot, A., Lamer, A., & Andrey, P. (2022). Visualization of Medical Concepts Represented using Word Embeddings: a Scoping Review. BMC Medical Informatics and Decision Making, 22(1), 83.
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3. Chepy, A., Vivier, S., Bray, F., Ternynck, C., Meneboo, J.-P., Figeac, M., Filiot, A., Guilbert, L., Jendoubi, M., Rolando, C., Launay, D., Dubucquoi, S., Marot, G., & Sobanski, V. (2022). Effects of immunoglobulins G from systemic sclerosis patients in normal dermal fibroblasts: A multi-omics study. Front. Immunol., 13, 904631.
4. Coisne, A., Montaigne, D., Ninni, S., Lamblin, N., Lemesle, G., Delsart, P., Filiot, A., Andrey, P., Balaye, P., Butruille, L., Decoin, R., Woitrain, E., Granada, J. F., Staels, B., & Bauters, C. (2022). Diabetes mellitus and cardiovascular mortality across the spectrum of aortic stenosis. Heart.
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5. Courtois, M., Filiot, A., & Ficheur, G. (2021). Distribution-Based Similarity Measures Applied to Laboratory Results Matching. Studies in Health Technology and Informatics, 287, 94–98.
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Conference papers

1. José-García, A., Jacques, J., Filiot, A., Handl, J., Launay, D., Sobanski, V., & Dhaenens, C. (2022). Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem Solving from Nature – PPSN XVII (pp. 352–367). Springer International Publishing.
2. Lamer, A., Filiot, A., Bouillard, Y., Mangold, P., Andrey, P., & Schiro, J. (2021, May). Specifications for the Routine Implementation of Federated Learning in Hospitals Networks. Studies in Health Technology and Informatics, Volume 281: Public Health and Informatics.
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3. Mangold, P., Filiot, A., Moussa, M., Sobanski, V., Ficheur, G., Andrey, P., & Lamer, A. (2020). A Decentralized Framework for Biostatistics and Privacy Concerns. EFMI Special Topic Conference, Integrated Citizen Centered Digital Health and Social Care(275), 137–141.
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