 | 2009 |
|---|
| 7 |       | 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 |
| 2008 |
|---|
| 6 | | 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 |
| 5 | | Ben Van Calster,
Dirk Timmerman,
Antonia C. Testa,
Lil Valentin,
Sabine Van Huffel:
Multi-class classification of ovarian tumors.
ESANN 2008: 65-70 |
| 4 | | 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 |
| 3 | | 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 |
|---|
| 2 | | 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 |
| 1 | | 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 |
