MOVE-X: A System for Combining Video Films and Computer Animation. - Gerhard Ertl; Heimo Müller-Seelich; Behnam Tabatabai (Eurographics, 1991)

Animation of Landscapes Using Satellite Imagery. - Barbara Geymayer; Manfred Prantl; Heimo Müller-Seelich; Behnam Tabatabai (Eurographics, 1991)

ASN.1 Based Exchange of Graphical and Application Specific Data. - Heimo Müller-Seelich; H. Mayer; Behnam Tabatabi (Interfaces in Industrial Systems for Production Engineering, 1993)

Movie Maps. - Heimo Müller; Ed Tan (IV, 1999)

A Generic Annotation Model for Video Databases. - Herwig Rehatschek; Heimo Müller (VISUAL, 1999)

Modelling "user understanding" in simple communication tasks. - Heimo Müller; Fritz Wiesinger (CAI, 2006)

Connecting Genes with Diseases. - Heimo Müller; Robert Reihs; Stefan Sauer 002; Kurt Zatloukal; Marc Streit; Alexander Lex; Bernhard Schlegl; Dieter Schmalstieg (IV, 2009)

Interactive Patient Records. - Heimo Müller; Stefan Sauer 002; Kurt Zatloukal; Thomas Bauernhofer (IV, 2010)

How to carry over historic books into social networks. - Heimo Müller; Hermann A. Maurer (BooksOnline, 2011)

Adaptive Visual Symbols for Personal Health Records. - Heimo Müller; Hermann A. Maurer; Robert Reihs; Stefan Sauer 002; Kurt Zatloukal (IV, 2011)

ITFoM - The IT Future of Medicine. - Hans Lehrach; Ralf Sudbrak; Peter Boyle; Markus Pasterk; Kurt Zatloukal; Heimo Müller; Tim Hubbard; Angela Brand; Mark A. Girolami; Daniel Jameson; Frank J. Bruggeman; Hans V. Westerhoff (FET, 2011)

Can the Web turn into a digital library? - Hermann A. Maurer; Heimo Müller (Int. J. Digit. Libr., 2013)

Analysis of biomedical data with multilevel glyphs. - Heimo Müller; Robert Reihs; Kurt Zatloukal; Andreas Holzinger (BMC Bioinform., 2014)

Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach. - Andreas Holzinger; Bernd Malle; Peter Kieseberg; Peter M. Roth; Heimo Müller; Robert Reihs; Kurt Zatloukal (BIRS-IMLKE, 2015)

State-of-the-Art and Future Challenges in the Integration of Biobank Catalogues. - Heimo Müller; Robert Reihs; Kurt Zatloukal; Fleur Jeanquartier; Roxana Merino-Martinez; David van Enckevort; Morris A. Swertz; Andreas Holzinger (Smart Health, 2015)

Data Driven GUI Design and Visualization for a NGS Based Clinical Decision Support System. - Heimo Müller; Robert Reihs; Andreas E. Posch; Andreas Kremer; Doris Ulrich; Kurt Zatloukal (IV, 2016)

Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology. - Andreas Holzinger; Bernd Malle; Peter Kieseberg; Peter M. Roth; Heimo Müller; Robert Reihs; Kurt Zatloukal (CoRR, 2017)

KANDINSKY Patterns as IQ-Test for Machine Learning. - Andreas Holzinger; Michael D. Kickmeier-Rust; Heimo Müller (CD-MAKE, 2019)

Kandinsky Patterns. - Heimo Müller (KDIR, 2019)

Acceptance of Virtual Health Avatars. - Heimo Müller; Martina Lang; Bernhard Wieser; Robert Reihs; Birgit Pohn; Andreas Holzinger; Kurt Zatloukal (ICSSA, 2019)

Towards a Deeper Understanding of How a Pathologist Makes a Diagnosis: Visualization of the Diagnostic Process in Histopathology. - Birgit Pohn; Michaela Kargl; Robert Reihs; Andreas Holzinger; Kurt Zatloukal; Heimo Müller (ISCC, 2019)

NLP for the Generation of Training Data Sets for Ontology-Guided Weakly-Supervised Machine Learning in Digital Pathology. - Robert Reihs; Birgit Pohn; Kurt Zatloukal; Andreas Holzinger; Heimo Müller (ISCC, 2019)

Visualization of Histopathological Decision Making Using a Roadbook Metaphor. - Birgit Pohn; Marie-Christina Mayer; Robert Reihs; Andreas Holzinger; Kurt Zatloukal; Heimo Müller (IV (1), 2019)

Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations. - Andreas Holzinger; André M. Carrington; Heimo Müller (CoRR, 2019)

Causability and explainability of artificial intelligence in medicine. - Andreas Holzinger; Georg Langs; Helmut Denk; Kurt Zatloukal; Heimo Müller (WIREs Data Mining Knowl. Discov., 2019)

Towards Visual Concept Learning and Reasoning: On Insights into Representative Approaches. - Anna Saranti; Simon Streit; Heimo Müller; Deepika Singh; Andreas Holzinger (ISMIS (Industrial Paper), 2020)

Classification and Visualization of Patterns in Medical Images. - Heimo Müller; Peter Regitnig; Peter Ferschin; Anna Saranti; Andreas Holzinger (IV, 2020)

Reconstruct and Visualise Hierarchical Relationships in Whole Slide Images. - Markus Plass; Philipp Faulhammer; Robert Reihs; Andreas Holzinger; Kurt Zatloukal; Heimo Müller (IV, 2020)

Visualization of Decision Making in Digital Pathology as Educational Tool. - Birgit Pohn; Farah Nader; Marie-Christina Mayer; Robert Reihs; Helmut Denk; Andreas Holzinger; Kurt Zatloukal; Heimo Müller (IV, 2020)

Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading. - Ellery Wulczyn; Kunal Nagpal; Matthew Symonds; Melissa Moran; Markus Plass; Robert Reihs; Farah Nader; Fraser Tan; Yuannan Cai; Trissia Brown; Isabelle Flament-Auvigne; Mahul B. Amin; et al. (CoRR, 2020)

KANDINSKY Patterns: A Swiss-Knife for the Study of Explainable AI. - Andreas Holzinger; Peter Kieseberg; Heimo Müller (ERCIM News, 2020)

Verbinden von Natürlicher und Künstlicher Intelligenz: eine experimentelle Testumgebung für Explainable AI (xAI). - Andreas Holzinger; Heimo Müller (HMD Prax. Wirtsch., 2020)

Measuring the Quality of Explanations: The System Causability Scale (SCS). - Andreas Holzinger; André M. Carrington; Heimo Müller (Künstliche Intell., 2020)

Towards a Better Understanding of the Workflows: Modeling Pathology Processes in View of Future AI Integration. - Michaela Kargl; Peter Regitnig; Heimo Müller; Andreas Holzinger (AI and ML for Digital Pathology, 2020)

Expectations of Artificial Intelligence for Pathology. - Peter Regitnig; Heimo Müller; Andreas Holzinger (AI and ML for Digital Pathology, 2020)

ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And Data. - Rudolf Wittner; Petr Holub; Heimo Müller; Jörg Geiger; Carole A. Goble; Stian Soiland-Reyes; Luca Pireddu; Francesca Frexia; Cecilia Mascia; Elliot Fairweather; Jason R. Swedlow; Josh Moore; et al. (IPAW, 2021)

Kandinsky Patterns. - Heimo Müller; Andreas Holzinger (Artif. Intell., 2021)

Toward Human-AI Interfaces to Support Explainability and Causability in Medical AI. - Andreas Holzinger; Heimo Müller (Computer, 2021)

The Ten Commandments of Ethical Medical AI. - Heimo Müller; Michaela Theresia Mayrhofer; Evert-Ben van Veen; Andreas Holzinger (Computer, 2021)

KANDINSKYPatterns - An experimental exploration environment for Pattern Analysis and Machine Intelligence. - Andreas Holzinger; Anna Saranti; Heimo Müller (CoRR, 2021)

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)

Integration of Biobanks in National eHealth Ecosystems Facilitating Long-Term Longitudinal Clinical-Omics Studies and Citizens' Engagement in Research Through eHealthBioR. - Athos Antoniades; Maria Papaioannou; Apostolos Malatras; Gregory Papagregoriou; Heimo Müller; Petr Holub; Constantinos Deltas; Christos N. Schizas (Frontiers Digit. Health, 2021)

Interpretable survival prediction for colorectal cancer using deep learning. - Ellery Wulczyn; David F. Steiner; Melissa Moran; Markus Plass; Robert Reihs; Fraser Tan; Isabelle Flament-Auvigne; Trissia Brown; Peter Regitnig; Po-Hsuan Cameron Chen; Narayan Hegde; Apaar Sadhwani; et al. (npj Digit. Medicine, 2021)

The Common Provenance Model: Capturing Distributed Provenance in Life Sciences Processes. - Francesca Frexia; Cecilia Mascia; Rudolf Wittner; Markus Plass; Heimo Müller; Jörg Geiger; Petr Holub (MIE, 2022)

Personas for Artificial Intelligence (AI) an Open Source Toolbox. - Andreas Holzinger; Michaela Kargl; Bettina Kipperer; Peter Regitnig; Markus Plass; Heimo Müller (IEEE Access, 2022)

Understanding and Explaining Diagnostic Paths: Toward Augmented Decision Making. - Markus Plass; Michaela Kargl; Patrick Nitsche; Emilian Jungwirth; Andreas Holzinger; Heimo Müller (IEEE Computer Graphics and Applications, 2022)

Recommendations on test datasets for evaluating AI solutions in pathology. - André Homeyer; Christian Geißler; Lars Ole Schwen; Falk Zakrzewski; Theodore Evans; Klaus Strohmenger; Max Westphal; Roman David Bülow; Michaela Kargl; Aray Karjauv; Isidre Munné-Bertran; Carl Orge Retzlaff; et al. (CoRR, 2022)

The explainability paradox: Challenges for xAI in digital pathology. - Theodore Evans; Carl Orge Retzlaff; Christian Geißler; Michaela Kargl; Markus Plass; Heimo Müller; Tim-Rasmus Kiehl; Norman Zerbe; Andreas Holzinger (Future Gener. Comput. Syst., 2022)

Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning. - Andreas Holzinger; Anna Saranti; Anne-Christin Hauschild; Jacqueline Michelle Beinecke; Dominik Heider; Richard Röttger; Heimo Müller; Jan Baumbach; Bastian Pfeifer (CD-MAKE, 2023)

The Tower of Babel in Explainable Artificial Intelligence (XAI). - David Schneeberger; Richard Röttger; Federico Cabitza; Andrea Campagner; Markus Plass; Heimo Müller; Andreas Holzinger (CD-MAKE, 2023)

Ethical ChatGPT: Concerns, Challenges, and Commandments. - Jianlong Zhou; Heimo Müller; Andreas Holzinger; Fang Chen 001 (CoRR, 2023)

Toward human-level concept learning: Pattern benchmarking for AI algorithms. - Andreas Holzinger; Anna Saranti; Alessa Angerschmid; Bettina Finzel; Ute Schmid; Heimo Müller (Patterns, 2023)

Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale. - Robert Harb; Thomas Pock; Heimo Müller (WACV, 2024)

Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists. - Carl Orge Retzlaff; Alessa Angerschmid; Anna Saranti; David Schneeberger; Richard Röttger; Heimo Müller; Andreas Holzinger (Cogn. Syst. Res., 2024)

Fine-tuning language model embeddings to reveal domain knowledge: An explainable artificial intelligence perspective on medical decision making. - Ceca Kraisnikovic; Robert Harb; Markus Plass; Wael Al Zoughbi; Andreas Holzinger; Heimo Müller (Eng. Appl. Artif. Intell., 2025)

On the disagreement problem in Human-in-the-Loop federated machine learning. - Matthias Huelser; Heimo Müller; Natalia Díaz Rodríguez; Andreas Holzinger (J. Ind. Inf. Integr., 2025)

World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child. - Javier Del Ser; Jesus L. Lobo; Heimo Müller; Andreas Holzinger (CoRR, 2025)