Recent & highlighted publications

Gevaert O. Meta-learning reduces the amount of data needed to build AI models in oncology. Br 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 O. A Shallow Convolutional Neural Network Predicts Prognosis of Lung Cancer Patients in Multi-Institutional CT-Image Data. Nat 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 O. A meta-learning approach for genomic survival analysis. Nat Commun. 2020 Dec 11;11(1):6350. doi: 10.1038/s41467-020-20167-3. PMID: 33311484; PMCID: PMC7733508.

Vandaele R, Nervo GA, Gevaert O. Topological image modification for object detection and topological image processing of skin lesions. Sci 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 Carcinoma. JCO 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