Neural networks to estimate the risk for preeclampsia occurrence. - Costas Neocleous; Panagiotis Anastasopoulos; Kypros H. Nikolaides; Christos N. Schizas; Kleanthis C. Neokleous (IJCNN, 2009)

Artificial neural networks for non-invasive chromosomal abnormality screening of fetuses. - Costas Neocleous; Kypros H. Nicolaides; Kleanthis C. Neokleous; Christos N. Schizas (IJCNN, 2010)

Ethnicity as a Factor for the Estimation of the Risk for Preeclampsia: A Neural Network Approach. - Costas Neocleous; Kypros H. Nicolaides; Kleanthis C. Neokleous; Christos N. Schizas (SETN, 2010)

Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities. - Kypros H. Nicolaides; Kleanthis C. Neokleous; Christos N. Schizas; Costas Neocleous (IJCNN, 2011)

Artificial Neural Networks to Investigate the Importance and the Sensitivity to Various Parameters Used for the Prediction of Chromosomal Abnormalities. - Andreas C. Neocleous; Kypros H. Nicolaides; Argyro Syngelaki; Kleanthis C. Neokleous; Gianna Loizou; Costas Neocleous; Christos N. Schizas (AIAI (2), 2012)

First Trimester Noninvasive Prenatal Diagnosis: A Computational Intelligence Approach. - Andreas C. Neocleous; Kypros H. Nicolaides; Christos N. Schizas (IEEE J. Biomed. Health Informatics, 2016)

Automatic 3D ultrasound segmentation of the first trimester placenta using deep learning. - Padraig T. Looney; Gordon N. Stevenson; Kypros H. Nicolaides; Walter Plasencia; Malid Molloholli; Stavros Natsis; Sally L. Collins (ISBI, 2017)

Intelligent Noninvasive Diagnosis of Aneuploidy: Raw Values and Highly Imbalanced Dataset. - Andreas C. Neocleous; Kypros H. Nicolaides; Christos N. Schizas (IEEE J. Biomed. Health Informatics, 2017)