Recent & highlighted publications

Gevaert OMeta-learning reduces the amount of data needed to build AI models in oncologyBr J Cancer. 2021 Mar 29. doi: 10.1038/s41416-021-01358-1. Epub ahead of print. PMID: 33782563.

Mukherjee P, Zhou M, Lee E, Schicht A, Balagurunathan Y, Napel S, Gillies R, Wong S, Thieme A, Leung A, Gevaert OA Shallow Convolutional Neural Network Predicts Prognosis of Lung Cancer Patients in Multi-Institutional CT-Image DataNat Mach Intell. 2020 May;2(5):274-282. doi: 10.1038/s42256-020-0173-6. Epub 2020 May 18. PMID: 33791593; PMCID: PMC8008967.

Qiu YL, Zheng H, Devos A, Selby H, Gevaert OA meta-learning approach for genomic survival analysisNat Commun. 2020 Dec 11;11(1):6350. doi: 10.1038/s41467-020-20167-3. PMID: 33311484; PMCID: PMC7733508.

Vandaele R, Nervo GA, Gevaert OTopological image modification for object detection and topological image processing of skin lesionsSci Rep. 2020 Dec 3;10(1):21061. doi: 10.1038/s41598-020-77933-y. PMID: 33273628; PMCID: PMC7713118.

Brennan K, Metzner TJ, Kao CS, Massie CE, Stewart GD, Haile RW, Brooks JD, Hitchins MP, Leppert JT, Gevaert O. Development of a DNA Methylation-Based Diagnostic Signature to Distinguish Benign Oncocytoma From Renal Cell CarcinomaJCO Precis Oncol. 2020 Sep 28;4:PO.20.00015. doi: 10.1200/PO.20.00015. PMID: 33015531; PMCID: PMC7529536.

All publications of the lab:

Preprints on arXiv, bioRxiv & MedRxiv