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

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

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)

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)

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)

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)