| 2021 | AMIA | Leveraging the MedDRA Biomedical Terminology and Weak Labeling for Mental Health Symptom Surveillance from patient Notes. | Marie Humbert-Droz, Suzanne Tamang, Olivier Gevaert |
| 2018 | MICCAI | Dropout-Enabled Ensemble Learning for Multi-scale Biomedical Data. | Alexandre Momeni, Marc Thibault, Olivier Gevaert |
| 2017 | AMIA | Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations. | Marcos Martnez Romero, Martin J. O'Connor, Ravi D. Shankar, Maryam Panahiazar, Debra Willrett, Attila Levente Egyedi, Olivier Gevaert, John B. Graybeal, Mark A. Musen |
| 2013 | PSB | Identifying Master Regulators of Cancer and Their Downstream Targets by Integrating Genomic and Epigenomic Features. | Olivier Gevaert, Sylvia K. Plevritis |
| 2009 | PSB | Supervised Classification of Array CGH Data with HMM-Based Feature Selection. | Anneleen Daemen, Olivier Gevaert, Karin Leunen, Eric Legius, Ignace Vergote, Bart De Moor |
| 2008 | KES | Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations. | Anneleen Daemen, Olivier Gevaert, Karin Leunen, Vanessa Vanspauwen, Genevive Michils, Eric Legius, Ignace Vergote, Bart De Moor |
| 2008 | PSB | Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer. | Anneleen Daemen, Olivier Gevaert, Tijl De Bie, Annelies Debucquoy, Jean-Pascal Machiels, Bart De Moor, Karin Haustermans |
| 2006 | ISMB | Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. | Olivier Gevaert, Frank De Smet, Dirk Timmerman, Yves Moreau, Bart De Moor |