Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center study. - Ben Van Calster; Dirk Timmerman; Ian T. Nabney; Lil Valentin; Caroline Van Holsbeke; Sabine Van Huffel (EMBC, 2006)

Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery. - Ben Van Calster; Dirk Timmerman; Ian T. Nabney; Lil Valentin; Antonia C. Testa; Caroline Van Holsbeke; Ignace Vergote; Sabine Van Huffel (Neural Comput. Appl., 2008)

Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. - Ben Van Calster; Olivier Gevaert; Caroline Van Holsbeke; Bart De Moor; Sabine Van Huffel; Dirk Timmerman (Computational Intelligence and Bioengineering, 2009)

Improved modeling of clinical data with kernel methods. - Anneleen Daemen; Dirk Timmerman; Thierry Van den Bosch; Cecilia Bottomley; Emma Kirk; Caroline Van Holsbeke; Lil Valentin; Tom Bourne; Bart De Moor (Artif. Intell. Medicine, 2012)