Olivier Gevaert

According to our database1, Olivier Gevaert authored at least 20 papers between 2006 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Deep learning with multimodal representation for pancancer prognosis prediction.
Bioinformatics, 2019

2018
MethylMix 2.0: an R package for identifying DNA methylation genes.
Bioinformatics, 2018

Dropout-Enabled Ensemble Learning for Multi-scale Biomedical Data.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2017
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation.
Medical Image Analysis, 2017

Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO).
Journal of Biomedical Informatics, 2017

MicroRNA based Pan-Cancer Diagnosis and Treatment Recommendation.
BMC Bioinformatics, 2017

Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A multi-view deep convolutional neural networks for lung nodule segmentation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations.
Proceedings of the AMIA 2017, 2017

2016
Predicting structured metadata from unstructured metadata.
Database, 2016

Predicting structured metadata from unstructured metadata.
Database, 2016

2015
The center for expanded data annotation and retrieval.
JAMIA, 2015

MethylMix: an R package for identifying DNA methylation-driven genes.
Bioinformatics, 2015

2013
Identifying Master Regulators of Cancer and Their Downstream Targets by Integrating Genomic and Epigenomic Features.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

2009
Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study.
Proceedings of the Computational Intelligence and Bioengineering, 2009

Supervised Classification of Array CGH Data with HMM-Based Feature Selection.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

2008
Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer.
Proceedings of the Biocomputing 2008, 2008

Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

2006
Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006


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