An application of machine learning in the diagnosis of ischaemic heart disease. - Matjaz Kukar; Ciril Groselj; Igor Kononenko 001; Jure Fettich (CBMS, 1997)

Diagnostic Rules of Increased Reliability for Critical Medical Applications. - Dragan Gamberger; Nada Lavrac; Ciril Groselj (AIMDM, 1999)

Machine Learning in Stepwise Diagnostic Process. - Matjaz Kukar; Ciril Groselj (AIMDM, 1999)

Experiments with Noise Filtering in a Medical Domain. - Dragan Gamberger; Nada Lavrac; Ciril Groselj (ICML, 1999)

Analysing and improving the diagnosis of ischaemic heart disease with machine learning. - Matjaz Kukar; Igor Kononenko 001; Ciril Groselj; Katarina Kralj; Jure Fettich (Artif. Intell. Medicine, 1999)

Data Mining Problems in Medicine. - Ciril Groselj (CBMS, 2002)

Reliable Diagnostics for Coronary Artery Disease. - Matjaz Kukar; Ciril Groselj (CBMS, 2002)

Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease. - Matjaz Kukar; Luka Sajn; Ciril Groselj; Jera Groselj (AIME, 2007)

Supporting Diagnostics of Coronary Artery Disease with Neural Networks. - Matjaz Kukar; Ciril Groselj (ICANNGA (1), 2011)

Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease. - Matjaz Kukar; Igor Kononenko 001; Ciril Groselj (Artif. Intell. Medicine, 2011)