B. D. Moor

Final Program

A. Daemen, L. Ameye, I. Vergote, 2019, 2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM).

Diagnostic accuracy of varying discriminatory zones for the prediction of ectopic pregnancy in women with a pregnancy of unknown location

T. Bourne, B. De Moor, D. Timmerman, 2005, 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.

Improving the preoperative classification of adnexal masses as benign or malignant by second‐stage tests

D. Jurkovic, T. Bourne, B. De Moor, 2011, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Functional linear discriminant analysis: a new longitudinal approach to the assessment of embryonic growth.

T. Bourne, B. De Moor, D. Timmerman, 2009, Human reproduction.

Evaluation of a panel of 28 biomarkers for the non-invasive diagnosis of endometriosis.

B. De Moor, O. Gevaert, D. Popovic, 2012, Human reproduction.

Terms, definitions and measurements to describe sonographic features of myometrium and uterine masses: a consensus opinion from the Morphological Uterus Sonographic Assessment (MUSA) group

T. Bourne, B. De Moor, D. Timmerman, 2015, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

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.

Non-invasive diagnosis of endometriosis based on a combined analysis of six plasma biomarkers.

N. Pochet, B. De Moor, O. Gevaert, 2010, Human reproduction.

New models to predict depth of infiltration in endometrial carcinoma based on transvaginal sonography

N. Pochet, B. De Moor, D. Timmerman, 2006, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Effect of cancer prevalence on the use of risk‐assessment cut‐off levels and the performance of mathematical models to distinguish malignant from benign adnexal masses

D. Jurkovic, T. Bourne, B. De Moor, 2011, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Improving the preoperative classification of adnexal masses as benign or malignant by second‐stage tests

T. Bourne, D. Timmerman, L. Valentin, 2011, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Ultrasound methods to distinguish between malignant and benign adnexal masses in the hands of examiners with different levels of experience

A. Daemen, J. Yazbek, C. Holsbeke, 2009, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.