Stefan Michiels

Orcid: 0000-0002-6963-2968

According to our database1, Stefan Michiels authored at least 15 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine.
BMC Bioinform., December, 2023

CustOmics: A versatile deep-learning based strategy for multi-omics integration.
PLoS Comput. Biol., March, 2023

2022
A non-parametric Bayesian joint model for latent individual molecular profiles and survival in oncology.
J. Bioinform. Comput. Biol., 2022

Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis.
Proceedings of the Machine Learning for Health, 2022

2020
Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models.
BMC Bioinform., 2020

Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks.
Artif. Intell. Medicine, 2020

Self-supervised Nuclei Segmentation in Histopathological Images Using Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

On the Use of Neural Networks with Censored Time-to-Event Data.
Proceedings of the Mathematical and Computational Oncology, 2020

2018
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., 2018

Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology.
Comput. Math. Methods Medicine, 2018

biospear: an R package for biomarker selection in penalized Cox regression.
Bioinform., 2018

A benchmark study of scoring methods for non-coding mutations.
Bioinform., 2018

2015
A Dual Model for Prioritizing Cancer Mutations in the Non-coding Genome Based on Germline and Somatic Events.
PLoS Comput. Biol., 2015

2005
Bias in the estimation of false discovery rate in microarray studies.
Bioinform., 2005

False discovery rate, sensitivity and sample size for microarray studies.
Bioinform., 2005


  Loading...