A Robust Semi-automatic Procedure for Motion Quantification of Aortic Stent Grafts Using Point Set Registration. - Julian Mattes; Iris Steingruber; Michael Netzer; Karl D. Fritscher; Helmut Kopf; Werner Jaschke; Rainer Schubert (Bildverarbeitung für die Medizin, 2006)

Quantification of the migration and deformation of abdominal aortic aneurysm stent grafts. - Julian Mattes; Iris Steingruber; Michael Netzer; Karl D. Fritscher; Helmut Kopf; Werner Jaschke; Rainer Schubert (Image Processing, 2006)

Stacked Feature Selection in Liver Disease Using IMR-MS Analysis. - Michael Netzer; Gunda Millonig; Bernhard Pfeifer; Kanthida Kusonmano; Siegfried Praun; Johannes Villinger; Wolfgang Vogel; Christian Baumgartner (DEXA Workshops, 2009)

A new ensemble-based algorithm for identifying breath gas marker candidates in liver disease using ion molecule reaction mass spectrometry. - Michael Netzer; Gunda Millonig; Melanie Osl; Bernhard Pfeifer; Siegfried Praun; Johannes Villinger; Wolfgang Vogel; Christian Baumgartner (Bioinform., 2009)

Oncogenes and pathway identification using filter-based approaches between various carcinoma types in lung. - Mahesh Visvanathan; Michael Netzer; Michael Seger; Bhargav S. Adagarla; Christian Baumgartner; Sitta Sittampalam; Gerald H. Lushington (Int. J. Comput. Biol. Drug Des., 2009)

Demoting redundant features to improve the discriminatory ability in cancer data. - Melanie Osl; Stephan Dreiseitl; Fabio Ribeiro Cerqueira; Michael Netzer; Bernhard Pfeifer; Christian Baumgartner (J. Biomed. Informatics, 2009)

A multi-tier data mining workflow to analyze the age related shift from diglycosylated- to tetra-glycosylated-FSH secretion by the anterior pituitary. - Mahesh Visvanathan; Shanker Rao; Vijay Anand; Gerald H. Lushington; Michael Netzer; Christian Baumgartner; George R. Bousfield (BCB, 2010)

A new data mining approach for profiling and categorizing kinetic patterns of metabolic biomarkers after myocardial injury. - Christian Baumgartner; Gregory D. Lewis; Michael Netzer; Bernhard Pfeifer; Robert E. Gerszten (Bioinform., 2010)

Bioinformatic-driven search for metabolic biomarkers in disease. - Christian Baumgartner; Melanie Osl; Michael Netzer; Daniela Baumgartner (J. Clin. Bioinform., 2011)

Profiling the human response to physical exercise: a computational strategy for the identification and kinetic analysis of metabolic biomarkers. - Michael Netzer; Klaus Weinberger; Michael Handler; Michael Seger; Xiaocong Fang; Karl G. Kugler; Armin Graber; Christian Baumgartner (J. Clin. Bioinform., 2011)

[KD3] A Workflow-Based Application for Exploration of Biomedical Data Sets. - Andreas Dander; Michael Handler; Michael Netzer; Bernhard Pfeifer; Michael Seger; Christian Baumgartner (Trans. Large Scale Data Knowl. Centered Syst., 2011)

Modeling and Classification of Kinetic Patterns of Dynamic Metabolic Biomarkers in Physical Activity. - Marc Breit; Michael Netzer; Klaus Weinberger; Christian Baumgartner (PLoS Comput. Biol., 2015)

Ensemble Based Approach for Time Series Classification in Metabolomics. - Michael Netzer; Friedrich Hanser; Marc Breit; Klaus M. Weinberger; Christian Baumgartner; Daniel Baumgarten (dHealth, 2019)

Impact of Students' Presence and Course Participation on Learning Outcome in Co-Operative Online-based Courses. - Elske Ammenwerth; Werner O. Hackl; Verena Dornauer; Michael Felderer; Alexander Hörbst; Renate Nantschev; Michael Netzer (ICIMTH, 2019)

Learning Analytics and the Community of Inquiry: Indicators to Analyze and Visualize Online-Based Learning. - Elske Ammenwerth; Michael Netzer; Werner O. Hackl (dHealth, 2020)

Evaluating Performance and Interpretability of Machine Learning Methods for Predicting Delirium in Gerontopsychiatric Patients. - Michael Netzer; Werner O. Hackl; Michael Schaller; Lisa Alber; Josef Marksteiner; Elske Ammenwerth (dHealth, 2020)

Visual Analytics in Delirium Management. - Werner O. Hackl; Michael Netzer; Renate Nantschev; Michael Schaller; Elske Ammenwerth (dHealth, 2021)

Unsupervised Learning for Hydrogen Breath Tests. - Michael Netzer; Friedrich Hanser; Maximilian Ledochowski; Daniel Baumgarten (dHealth, 2021)

Process Mining of Nursing Routine Data: Cool, but also Useful? - Julian Jonk; Michael Schaller; Michael Netzer; Bernhard Pfeifer; Elske Ammenwerth; Werner O. Hackl (dHealth, 2022)

Automatic Classification of Online Discussions and Other Learning Traces to Detect Cognitive Presence. - Verena Dornauer; Michael Netzer; Éva Kaczkó; Lisa-Maria Norz; Elske Ammenwerth (Int. J. Artif. Intell. Educ., 2024)