B De Moor

Balancing false positives and false negatives for the detection of differential expression in malignancies

F De Smet, Y Moreau, K Engelen, 2004, British Journal of Cancer.

Flood control of rivers with Model Predictive Control

B De Moor, M Breckpot, T B Blanco, 2010, Proceedings of the 2010 American Control Conference.

Predicting the outcome of pregnancies of unknown location: Bayesian networks with expert prior information compared to logistic regression.

S Van Huffel, D Timmerman, B De Moor, 2006, Human reproduction.

New crown–rump length curve based on over 3500 pregnancies

D Timmerman, B De Moor, T Bourne, 2010, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Emerging patterns of cryptic chromosomal imbalance in patients with idiopathic mental retardation and multiple congenital anomalies: a new series of 140 patients and review of published reports

G Mortier, Y Moreau, B De Moor, 2006, Journal of Medical Genetics.

An algorithm including results of gray‐scale and power Doppler ultrasound examination to predict endometrial malignancy in women with postmenopausal bleeding

B De Moor, L Skoog, B. De Moor, 2002, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

HE4 and CA125 as a diagnostic test in ovarian cancer: prospective validation of the Risk of Ovarian Malignancy Algorithm

D Timmerman, I Vergote, B De Moor, 2011, British Journal of Cancer.

An adaptive input–output modeling approach for predicting the glycemia of critically ill patients

B De Moor, P Wouters, M. Espinoza, 2006, Physiological measurement.

Artificial neural network models for the preoperative discrimination between malignant and benign adnexal masses

J Vandewalle, W P Collins, D Timmerman, 1999, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.