| 2025 | MICCAI | Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis. | Axel Geysels, Ben Van Calster, Bart De Moor, Wouter Froyman, Dirk Timmerman |
| 2008 | CBMS | Towards a Clinical Decision Support System for Pregnancies of Unknown Location. | Ben Van Calster, Sabine Van Huffel, Dirk Timmerman, Emma Kirk, Tom Bourne, George Condous |
| 2008 | ESANN | Multi-class classification of ovarian tumors. | Ben Van Calster, Dirk Timmerman, Antonia C. Testa, Lil Valentin, Sabine Van Huffel |
| 2008 | IJCNN | Multi-class AUC metrics and weighted alternatives. | Ben Van Calster, Vanya Van Belle, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel |
| 2007 | ICANN | Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression. | Ben Van Calster, Jan Luts, Johan A. K. Suykens, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel |
| 2007 | ISNN | Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. | M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman |
| 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 |
| 2003 | AIME | Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. | Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote |
| 2002 | CBMS | Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. | Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau |
| 2002 | CBMS | Domain Knowledge Based Information Retrieval Language: An Application Of Annotated Bayesian Network In Ovarian Cancer Domain. | Peter Antal, Dirk Timmerman, Tams Mszros, Tadeusz P. Dobrowiecki |
| 2001 | AIME | Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors. | Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman |
| 2000 | CBMS | Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. | Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote |