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Quentin Klopfenstein
Quentin Klopfenstein
Owkin
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Title
Cited by
Cited by
Year
Prognostic and predictive role of CD8 and PD-L1 determination in lung tumor tissue of patients under anti-PD-1 therapy
JD Fumet, C Richard, F Ledys, Q Klopfenstein, P Joubert, B Routy, ...
British journal of cancer 119 (8), 950-960, 2018
1482018
Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study
C Reichling, J Taieb, V Derangere, Q Klopfenstein, K Le Malicot, ...
Gut 69 (4), 681-690, 2020
882020
Implicit differentiation of lasso-type models for hyperparameter optimization
Q Bertrand, Q Klopfenstein, M Blondel, S Vaiter, A Gramfort, J Salmon
International Conference on Machine Learning, 810-821, 2020
632020
RAS status and neoadjuvant chemotherapy impact CD8+ cells and tumor HLA class I expression in liver metastatic colorectal cancer
F Ledys, Q Klopfenstein, C Truntzer, L Arnould, J Vincent, L Bengrine, ...
Journal for immunotherapy of cancer 6 (1), 1-14, 2018
352018
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning
Q Bertrand, Q Klopfenstein, M Massias, M Blondel, S Vaiter, A Gramfort, ...
The Journal of Machine Learning Research 23 (1), 6680-6722, 2022
272022
Cell lines and immune classification of glioblastoma define patient’s prognosis
Q Klopfenstein, C Truntzer, J Vincent, F Ghiringhelli
British journal of cancer 120 (8), 806-814, 2019
262019
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
212022
Bevacizumab-based chemotherapy for poorly-differentiated neuroendocrine tumors
T Collot, JD Fumet, Q Klopfenstein, J Vincent, L Bengrine, F Ghiringhelli
Anticancer Research 38 (10), 5963-5968, 2018
162018
Linear support vector regression with linear constraints
Q Klopfenstein, S Vaiter
Machine Learning 110 (7), 1939-1974, 2021
122021
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
102022
Evaluation of tumor immune contexture among intrinsic molecular subtypes helps to predict outcome in early breast cancer
Q Klopfenstein, V Derangère, L Arnould, M Thibaudin, E Limagne, ...
Journal for Immunotherapy of Cancer 9 (6), 2021
82021
Model identification and local linear convergence of coordinate descent
Q Klopfenstein, Q Bertrand, A Gramfort, J Salmon, S Vaiter
arXiv preprint arXiv:2010.11825, 2020
72020
Coordinate descent for slope
J Larsson, Q Klopfenstein, M Massias, J Wallin
International Conference on Artificial Intelligence and Statistics, 4802-4821, 2023
62023
Correction: Prognostic and predictive role of CD8 and PD-L1 determination in lung tumor tissue of patients under anti-PD-1 therapy
JD Fumet, C Richard, F Ledys, Q Klopfenstein, P Joubert, B Routy, ...
British Journal of Cancer 121 (3), 283, 2019
42019
Hematopoietic Prostaglandin D2 Synthase Controls Tfh/Th2 Communication and Limits Tfh Antitumor Effects
R Mary, F Chalmin, T Accogli, M Bruchard, C Hibos, J Melin, C Truntzer, ...
Cancer Immunology Research 10 (7), 900-916, 2022
22022
Local linear convergence of proximal coordinate descent algorithm
Q Klopfenstein, Q Bertrand, A Gramfort, J Salmon, S Vaiter
Optimization Letters 18 (1), 135-154, 2024
12024
Combination of tissues analysis and immune infiltrate in localized colon cancer using artificial intelligence in PETACC8 study.
C Reichling, J Taieb, V Derangere, K Le Malicot, JF Emile, JM Gornet, ...
Journal of Clinical Oncology 37 (15_suppl), 3574-3574, 2019
12019
CD8 and PD-L1 determination in lung tumor tissue as prognostic biomarker and a predictive marker of anti PD-1 efficacy.
JD Fumet, C Richard, F Ledys, Q Klopfenstein, C Truntzer, BP Coudert, ...
Journal of Clinical Oncology 36 (15_suppl), 3021-3021, 2018
12018
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings
JO Terrail, Q Klopfenstein, H Li, I Mayer, N Loiseau, M Hallal, F Balazard, ...
arXiv preprint arXiv:2311.16984, 2023
2023
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings
J Ogier du Terrail, Q Klopfenstein, H Li, I Mayer, N Loiseau, M Hallal, ...
arXiv e-prints, arXiv: 2311.16984, 2023
2023
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