Typical Problems with Developing Mobile Applications for Health Care - Some Lessons Learned from Developing User-centered Mobile Applications in a Hospital Environment. - Andreas Holzinger; Martin Höller; Marcus D. Bloice; Berndt Urlesberger (ICE-B, 2008)

Java's alternatives and the limitations of Java when writing cross-platform applications for mobile devices in the medical domain. - Marcus D. Bloice; Franz Wotawa; Andreas Holzinger (ITI, 2009)

On the Paradigm Shift of Search on Mobile Devices: Some Remarks on User Habits. - Marcus D. Bloice; Markus Kreuzthaler; Klaus-Martin Simonic; Andreas Holzinger (USAB, 2010)

Optimizing long-term treatment of rheumatoid arthritis with systematic documentation. - Klaus-Martin Simonic; Andreas Holzinger; Marcus D. Bloice; Josef Hermann (PervasiveHealth, 2011)

Development of an Interactive Application for Learning Medical Procedures and Clinical Decision Making. - Marcus D. Bloice; Klaus-Martin Simonic; Markus Kreuzthaler; Andreas Holzinger (USAB, 2011)

Navigating through Very Large Sets of Medical Records: An Information Retrieval Evaluation Architecture for Non-standardized Text. - Markus Kreuzthaler; Marcus D. Bloice; Klaus-Martin Simonic; Andreas Holzinger (USAB, 2011)

A Comparison of Different Retrieval Strategies Working on Medical Free Texts. - Markus Kreuzthaler; Marcus D. Bloice; Lukas Faulstich; Klaus-Martin Simonic; Andreas Holzinger (J. Univers. Comput. Sci., 2011)

Modeling, design, development and evaluation of a hypervideo presentation for digital systems teaching and learning. - Samra Mujacic; Matjaz Debevc; Primoz Kosec; Marcus D. Bloice; Andreas Holzinger (Multim. Tools Appl., 2012)

On the usage of health records for the design of virtual patients: a systematic review. - Marcus D. Bloice; Klaus-Martin Simonic; Andreas Holzinger (BMC Medical Informatics Decis. Mak., 2013)

Darwin, Lamarck, or Baldwin: Applying Evolutionary Algorithms to Machine Learning Techniques. - Andreas Holzinger; David Blanchard; Marcus D. Bloice; Katharina Holzinger; Vasile Palade; Raul Rabadan (WI-IAT (1), 2014)

Casebook: a virtual patient iPad application for teaching decision-making through the use of electronic health records. - Marcus D. Bloice; Klaus-Martin Simonic; Andreas Holzinger (BMC Medical Informatics Decis. Mak., 2014)

On the Generation of Point Cloud Data Sets: Step One in the Knowledge Discovery Process. - Andreas Holzinger; Bernd Malle; Marcus D. Bloice; Marco Wiltgen; Massimo Ferri; Ignazio Stanganelli; Rainer Hofmann-Wellenhof (Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014)

Knowledge Discovery and Visualization of Clusters for Erythromycin Related Adverse Events in the FDA Drug Adverse Event Reporting System. - Pinar Yildirim; Marcus D. Bloice; Andreas Holzinger (Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014)

A Tutorial on Machine Learning and Data Science Tools with Python. - Marcus D. Bloice; Andreas Holzinger (Machine Learning for Health Informatics, 2016)

Augmentor: An Image Augmentation Library for Machine Learning. - Marcus D. Bloice; Christof Stocker; Andreas Holzinger (J. Open Source Softw., 2017)

Biomedical image augmentation using Augmentor. - Marcus D. Bloice; Peter M. Roth; Andreas Holzinger (Bioinform., 2019)

Patch augmentation: Towards efficient decision boundaries for neural networks. - Marcus D. Bloice; Peter M. Roth; Andreas Holzinger (CoRR, 2019)

Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs. - Marcus D. Bloice; Peter M. Roth; Andreas Holzinger (ISMIS, 2020)

The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond. - Julian O. Matschinske; Julian Späth; Reza Nasirigerdeh; Reihaneh Torkzadehmahani; Anne Hartebrodt; Balázs Orbán; Sándor Fejér; Olga I. Zolotareva; Mohammad Bakhtiari; Béla Bihari; Marcus D. Bloice; Nina C. Donner; et al. (CoRR, 2021)

Performing arithmetic using a neural network trained on images of digit permutation pairs. - Marcus D. Bloice; Peter M. Roth; Andreas Holzinger (J. Intell. Inf. Syst., 2021)

Parea: multi-view ensemble clustering for cancer subtype discovery. - Bastian Pfeifer; Marcus D. Bloice; Michael G. Schimek (CoRR, 2022)

Parea: Multi-view ensemble clustering for cancer subtype discovery. - Bastian Pfeifer; Marcus D. Bloice; Michael G. Schimek (J. Biomed. Informatics, 2023)

Hierarchical Clustering with an Ensemble of Principle Component Trees for Interpretable Patient Stratification. - Bastian Pfeifer; Marcus D. Bloice; Christel Sirocchi; Markus Loecher (CIBB, 2024)

Federated unsupervised random forest for privacy-preserving patient stratification. - Bastian Pfeifer; Christel Sirocchi; Marcus D. Bloice; Markus Kreuzthaler; Martin Urschler (Bioinform., 2024)