Greta Van den Berghe

Automated Histological Quantification of Trabecular Bone Tissue in Critical Illness

Thomas Janssens, Ine Vanhees, Jan Gunst, 2014, MIUA.

Charisma: An integrated approach to automatic H&E-stained skeletal muscle cell segmentation using supervised learning and novel robust clump splitting

Laura Antanas, Thomas Janssens, Greta Van den Berghe, 2013, Medical Image Anal..

Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis

Jean-Marie Aerts, Daniel Berckmans, Maurice Bruynooghe, 2010, Journal of Medical Systems.

Mining data from intensive care patients

Maurice Bruynooghe, Jan Ramon, Hendrik Blockeel, 2007, Adv. Eng. Informatics.

Guided Monte Carlo Tree Search for Planning in Learned Environments

Maurice Bruynooghe, Jan Ramon, Greta Van den Berghe, 2013, ACML.

Dynamic Data Analysis and Data Mining for Prediction of Clinical Stability

Jean-Marie Aerts, Daniel Berckmans, Maurice Bruynooghe, 2009, MIE.

Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model

Jean-Marie Aerts, Daniel Berckmans, Maurice Bruynooghe, 2011, BMC Medical Informatics Decis. Mak..

Dynamic Autoregressive Modelling of Critical Care Patients as a Basis for Health Monitoring

Jean-Marie Aerts, Daniel Berckmans, Greta Van den Berghe, 2012, BIOSIGNALS.

The Use of Multivariate Autoregressive Modelling for Analyzing Dynamical Physiological Responses of Individual Critically Ill Patients

Jean-Marie Aerts, Daniel Berckmans, Greta Van den Berghe, 2006, ISBMDA.

A minimal model for glycemia control in critically ill patients

Bart De Moor, Bert Pluymers, Marcelo Espinoza, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.