Pierre-Antoine Bannier
Pierre-Antoine Bannier
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Benchopt: Reproducible, efficient and collaborative optimization benchmarks
T Moreau, M Massias, A Gramfort, P Ablin, PA Bannier, B Charlier, ...
Advances in Neural Information Processing Systems 35, 25404-25421, 2022
Beyond l1: Faster and better sparse models with skglm
Q Bertrand, Q Klopfenstein, PA Bannier, G Gidel, M Massias
Advances in Neural Information Processing Systems 35, 38950-38965, 2022
Electromagnetic neural source imaging under sparsity constraints with SURE-based hyperparameter tuning
PA Bannier, Q Bertrand, J Salmon, A Gramfort
arXiv preprint arXiv:2112.12178, 2021
Multimodal risk stratification of non-metastatic lung adenocarcinoma using AI on histology and immunohistochemistry slides.
B Adjadj, PA Bannier, A Papadakis, N Fournier, R Rayes, R Marza, ...
Journal of Clinical Oncology 42 (16_suppl), e20083-e20083, 2024
Abstract PO2-07-05: Deep learning model for automated quantification of HER2 expression in invasive breast cancers from immunohistochemical whole slide images
PA Bannier, L Herpin, R Dubois, L Van Praet, C Maussion, E Amonoo, ...
Cancer Research 84 (9_Supplement), PO2-07-05-PO2-07-05, 2024
Development of a Deep Learning model Tailored for HER2 Detection in Breast Cancer to aid pathologists in interpreting HER2-Low cases
PA Bannier, G Broeckx, L Herpin, R Dubois, L Van Praet, C Maussion, ...
bioRxiv, 2024.07. 01.601397, 2024
AI-based identification of FGFR3 mutation status from routine histology slides of muscle-invasive bladder cancer.
C Saillard, PA Bannier, P Mann, C Maussion, C Matek, A Hartmann, ...
Journal of Clinical Oncology 41 (16_suppl), e16580-e16580, 2023
skglm: improving scikit-learn for regularized Generalized Linear Models
B Moufad, PA Bannier, Q Bertrand, Q Klopfenstein, M Massias
Journal of Machine Learning Research 23, 1-5, 2023
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