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Stefan Michiels
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2020 – today
- 2023
- [j12]Shaima Belhechmi, Gwénaël Le Teuff, Riccardo De Bin, Federico Rotolo, Stefan Michiels:
Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine. BMC Bioinform. 24(1): 96 (2023) - [j11]Hakim Benkirane, Yoann Pradat, Stefan Michiels, Paul-Henry Cournède:
CustOmics: A versatile deep-learning based strategy for multi-omics integration. PLoS Comput. Biol. 19(3) (2023) - 2022
- [j10]Sarah-Laure Rincourt, Stefan Michiels, Damien Drubay:
A non-parametric Bayesian joint model for latent individual molecular profiles and survival in oncology. J. Bioinform. Comput. Biol. 20(5): 2250022:1-2250022:28 (2022) - [c3]Hakim Benkirane, Maria Vakalopoulou, Stergios Christodoulidis, Ingrid-Judith Garberis, Stefan Michiels, Paul-Henry Cournède:
Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis. ML4H@NeurIPS 2022: 405-418 - [i2]Hakim Benkirane, Yoann Pradat, Stefan Michiels, Paul-Henry Cournède:
CustOmics: A versatile deep-learning based strategy for multi-omics integration. CoRR abs/2209.05485 (2022) - 2020
- [j9]Vahé Asvatourian, Philippe Leray, Stefan Michiels, Emilie Lanoy:
Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks. Artif. Intell. Medicine 107: 101874 (2020) - [j8]Shaima Belhechmi, Riccardo De Bin, Federico Rotolo, Stefan Michiels:
Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models. BMC Bioinform. 21(1): 277 (2020) - [c2]Elvire Roblin, Paul-Henry Cournède, Stefan Michiels:
On the Use of Neural Networks with Censored Time-to-Event Data. ISMCO 2020: 56-67 - [c1]Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou:
Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. MICCAI (5) 2020: 393-402 - [i1]Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou:
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention. CoRR abs/2007.08373 (2020)
2010 – 2019
- 2018
- [j7]Nils Ternès, Federico Rotolo, Stefan Michiels:
biospear: an R package for biomarker selection in penalized Cox regression. Bioinform. 34(1): 112-113 (2018) - [j6]Damien Drubay, Daniel Gautheret, Stefan Michiels:
A benchmark study of scoring methods for non-coding mutations. Bioinform. 34(10): 1635-1641 (2018) - [j5]Matthieu Texier, Federico Rotolo, Michel Ducreux, Olivier Boucher, Jean-Pierre Pignon, Stefan Michiels:
Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology. Comput. Math. Methods Medicine 2018: 1672176:1-1672176:8 (2018) - [j4]Federico Rotolo, Xavier Paoletti, Stefan Michiels:
surrosurv: An R package for the evaluation of failure time surrogate endpoints in individual patient data meta-analyses of randomized clinical trials. Comput. Methods Programs Biomed. 155: 189-198 (2018) - 2015
- [j3]Jia Li, Marie-Anne Poursat, Damien Drubay, Arnaud Motz, Zohra Saci, Antonin Morillon, Stefan Michiels, Daniel Gautheret:
A Dual Model for Prioritizing Cancer Mutations in the Non-coding Genome Based on Germline and Somatic Events. PLoS Comput. Biol. 11(11) (2015)
2000 – 2009
- 2005
- [j2]Yudi Pawitan, Stefan Michiels, Serge Koscielny, Arief Gusnanto, Alexander Ploner:
False discovery rate, sensitivity and sample size for microarray studies. Bioinform. 21(13): 3017-3024 (2005) - [j1]Yudi Pawitan, Karuturi R. Krishna Murthy, Stefan Michiels, Alexander Ploner:
Bias in the estimation of false discovery rate in microarray studies. Bioinform. 21(20): 3865-3872 (2005)
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