| 2008 |
|---|
| 6 | EE | Anneleen Daemen,
Olivier Gevaert,
Karin Leunen,
Vanessa Vanspauwen,
Geneviève Michils,
Eric Legius,
Ignace Vergote,
Bart De Moor:
Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations.
KES (2) 2008: 165-172 |
| 5 | EE | 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) |
| 2005 |
|---|
| 4 | EE | Nathalie Pochet,
Frizo A. L. Janssens,
Frank De Smet,
Kathleen Marchal,
Ignace Vergote,
Johan A. K. Suykens,
Bart De Moor:
M@CBETH: Optimizing Clinical Microarray Classification.
CSB Workshops 2005: 89-90 |
| 2003 |
|---|
| 3 | EE | 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 |
| 2 | EE | 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) |
| 2000 |
|---|
| 1 | EE | 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 |
