Dirk Timmerman

30 papers B 8Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis. MICCAI (15) Axel Geysels, Ben Van Calster, Bart De Moor, Wouter Froyman, Dirk Timmerman
2024	J	`jnl`	MetDecode: methylation-based deconvolution of cell-free DNA for noninvasive multi-cancer typing. Bioinform. Antoine Passemiers, Stefania Tuveri, Dhanya Sudhakaran, Tatjana Jatsenko, Tina Laga, Kevin Punie, Sigrid Hatse, Sabine Tejpar, An Coosemans, Els Van Nieuwenhuysen, Dirk Timmerman, Giuseppe Floris, Anne-Sophie Van Rompuy, Xavier Sagaert, Antonia C. Testa, Daniela Ficherova, Daniele Raimondi, Frederic Amant, Liesbeth Lenaerts, Yves Moreau, Joris Robert Vermeesch
2024	J	`jnl`	Performance evaluation of predictive AI models to support medical decisions: Overview and guidance. CoRR Ben Van Calster, Gary S. Collins, Andrew J. Vickers, Laure Wynants, Kathleen F. Kerr, Lasai Barreñada, Gaël Varoquaux, Karandeep Singh, Karel G. M. Moons, Tina Hernandez-Boussard, Dirk Timmerman, David J. Mclernon, Maarten van Smeden, Ewout W. Steyerberg
2024	J	`jnl`	Understanding random forests and overfitting: a visualization and simulation study. CoRR Lasai Barreñada, Paula Dhiman, Dirk Timmerman, Anne-Laure Boulesteix, Ben Van Calster
2022	J	`jnl`	Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy. Comput. Methods Programs Biomed. Thibaut Vaulet, Maya Al-Memar, Hanine Fourie, Shabnam Bobdiwala, Srdjan Saso, Maria Pipi, Catriona Stalder, Phillip R. Bennett, Dirk Timmerman, Tom Bourne, Bart De Moor
2022	J	`jnl`	The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression. J. Am. Medical Informatics Assoc. Ruben van den Goorbergh, Maarten van Smeden, Dirk Timmerman, Ben Van Calster
2019	J	`jnl`	Predictive analytics in health care: how can we know it works? J. Am. Medical Informatics Assoc. Ben Van Calster, Laure Wynants, Dirk Timmerman, Ewout W. Steyerberg, Gary S. Collins
2015	J	`jnl`	A spline-based tool to assess and visualize the calibration of multiclass risk predictions. J. Biomed. Informatics K. Van Hoorde, Sabine Van Huffel, Dirk Timmerman, Tom Bourne, Ben Van Calster
2012	J	`jnl`	Improved modeling of clinical data with kernel methods. Artif. Intell. Medicine Anneleen Daemen, Dirk Timmerman, Thierry Van den Bosch, Cecilia Bottomley, Emma Kirk, Caroline Van Holsbeke, Lil Valentin, Tom Bourne, Bart De Moor
2011	—	`conf`	Fuzzy Decision Tree Learning for Preoperative Classification of Adnexal Masses. HEALTHINF Emad Ahmadi, Hoda Javadi, Amin Khansefid, Atousa Asadi, Mohammad Mehdi Ebadzadeh, Dirk Timmerman
2009	J	`jnl`	An application of methods for the probabilistic three-class classification of pregnancies of unknown location. Artif. Intell. Medicine Ben Van Calster, George Condous, Emma Kirk, Tom Bourne, Dirk Timmerman, Sabine Van Huffel
2009	—	`ch.`	Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. Computational Intelligence and Bioengineering Ben Van Calster, Olivier Gevaert, Caroline Van Holsbeke, Bart De Moor, Sabine Van Huffel, Dirk Timmerman
2008	B	`conf`	Multi-class AUC metrics and weighted alternatives. IJCNN Ben Van Calster, Vanya Van Belle, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel
2008	B	`conf`	Multi-class classification of ovarian tumors. ESANN Ben Van Calster, Dirk Timmerman, Antonia C. Testa, Lil Valentin, Sabine Van Huffel
2008	B	`conf`	Towards a Clinical Decision Support System for Pregnancies of Unknown Location. CBMS Ben Van Calster, Sabine Van Huffel, Dirk Timmerman, Emma Kirk, Tom Bourne, George Condous
2008	J	`jnl`	Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery. Neural Comput. Appl. Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Antonia C. Testa, Caroline Van Holsbeke, Ignace Vergote, Sabine Van Huffel
2007	J	`jnl`	A New Method for Modeling Preoperative Diagnosis of Ovarian Tumors. IEEE Trans. Biomed. Eng. Viktoriya Stalbovskaya, Emmanuel C. Ifeachor, Sabine Van Huffel, Dirk Timmerman
2007	—	`conf`	Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. ISNN (2) M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman
2007	—	`conf`	Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression. ICANN (2) Ben Van Calster, Jan Luts, Johan A. K. Suykens, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel
2006	—	`conf`	Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center study. EMBC Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Caroline Van Holsbeke, Sabine Van Huffel
2006	—	`conf`	Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. ISMB (Supplement of Bioinformatics) Olivier Gevaert, Frank De Smet, Dirk Timmerman, Yves Moreau, Bart De Moor
2004	J	`jnl`	Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. Artif. Intell. Medicine Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor
2003	J	`jnl`	Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection. Artif. Intell. Medicine Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor
2003	B	`conf`	Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. AIME Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote
2003	J	`jnl`	Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines. Artif. Intell. Medicine Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, Dirk Timmerman
2002	B	`conf`	Domain Knowledge Based Information Retrieval Language: An Application Of Annotated Bayesian Network In Ovarian Cancer Domain. CBMS Peter Antal, Dirk Timmerman, Tamás Mészáros, Tadeusz P. Dobrowiecki
2002	B	`conf`	Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. CBMS Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau
2001	B	`conf`	Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors. AIME Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman
2000	B	`conf`	Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. CBMS Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote
1997	—	`conf`	Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors. NIPS Herman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman