Dirk Timmerman

	2009
18		Ben Van Calster, Olivier Gevaert, Caroline Van Holsbeke, Bart De Moor, Sabine Van Huffel, Dirk Timmerman: Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. Computational Intelligence and Bioengineering 2009: 111-128
17		Ben Van Calster, George Condous, Emma Kirk, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: An application of methods for the probabilistic three-class classification of pregnancies of unknown location. Artificial Intelligence in Medicine 46(2): 139-154 (2009)
	2008
16		Ben Van Calster, Sabine Van Huffel, Dirk Timmerman, Emma Kirk, Tom Bourne, George Condous: Towards a Clinical Decision Support System for Pregnancies of Unknown Location. CBMS 2008: 581-583
15		Ben Van Calster, Dirk Timmerman, Antonia C. Testa, Lil Valentin, Sabine Van Huffel: Multi-class classification of ovarian tumors. ESANN 2008: 65-70
14		Ben Van Calster, Vanya Van Belle, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: Multi-class AUC metrics and weighted alternatives. IJCNN 2008: 1390-1396
13		Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Antonia C. Testa, Caroline Van Holsbeke, Ignace Vergote, Sabine Van Huffel: Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery. Neural Computing and Applications 17(5-6): 489-500 (2008)
	2007
12		Ben Van Calster, Jan Luts, Johan A. K. Suykens, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression. ICANN (2) 2007: 139-148
11		M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman: Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. ISNN (2) 2007: 1177-1186
	2006
10		Olivier Gevaert, Frank De Smet, Dirk Timmerman, Yves Moreau, Bart De Moor: Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. ISMB (Supplement of Bioinformatics) 2006: 184-190
	2004
9		Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor: Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. Artificial Intelligence in Medicine 30(3): 257-281 (2004)
	2003
8		Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote: Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. AIME 2003: 219-228
7		Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, Dirk Timmerman: Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines. Artificial Intelligence in Medicine 28(3): 281-306 (2003)
6		Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor: Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection. Artificial Intelligence in Medicine 29(1-2): 39-60 (2003)
	2002
5		Peter Antal, Dirk Timmerman, Tamás Mészáros, Tadeusz P. Dobrowiecki: Domain Knowledge Based Information Retrieval Language: An Application Of Annotated Bayesian Network In Ovarian Cancer Domain. CBMS 2002: 213-218
4		Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau: Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. CBMS 2002: 282-287
	2001
3		Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman: Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors. AIME 2001: 177-187
	2000
2		Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote: Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. CBMS 2000: 103-108
	1997
1		Herman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman: Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors. NIPS 1997

Coauthor Index

1	Stein Aerts	[4]
2	Peter Antal	[2] [3] [4] [5] [6] [9]
3	M. S. Hane Aung	[11]
4	Vanya Van Belle	[14]
5	Tom Bourne	[12] [14] [16] [17]
6	Ben Van Calster	[11] [12] [13] [14] [15] [16] [17] [18]
7	George Condous	[12] [14] [16] [17]
8	Tadeusz P. Dobrowiecki	[5]
9	Terence A. Etchells	[11]
10	Geert Fannes	[3] [6] [9]
11	Tony Van Gestel	[7] [8]
12	Olivier Gevaert	[10] [18]
13	Caroline Van Holsbeke	[13] [18]
14	Sabine Van Huffel	[2] [7] [8] [11] [12] [13] [14] [15] [16] [17] [18]
15	Emma Kirk	[16] [17]
16	Paulo J. G. Lisboa	[11]
17	Chuan Lu	[7] [8]
18	Jan Luts	[12]
19	Tamás Mészáros	[5]
20	Bart De Moor	[2] [3] [4] [6] [9] [10] [18]
21	Yves Moreau	[1] [3] [4] [6] [9] [10]
22	Ian T. Nabney	[13]
23	Frank De Smet	[10]
24	Johan A. K. Suykens	[7] [8] [12]
25	Antonia C. Testa	[11] [13] [15]
26	Lil Valentin	[11] [13] [15]
27	Joos Vandewalle	[1] [3]
28	Ignace Vergote	[2] [7] [8] [13]
29	Herman Verrelst	[1] [2]