Robert Reihs

Publication Activity (10 Years)

Years Active: 2009-2021
Publications (10 Years): 11

Top Topics

Survival Prediction

Decision Support System

Machine Learning

Colorectal Cancer

Top Venues

Publications

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, Robert MacDonald, Benny Ayalew, Gregory S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel
Interpretable survival prediction for colorectal cancer using deep learning. npj Digit. Medicine 4 (2021)
Birgit Pohn, Farah Nader, Marie-Christina Mayer, Robert Reihs, Helmut Denk, Andreas Holzinger, Kurt Zatloukal, Heimo Müller
Visualization of Decision Making in Digital Pathology as Educational Tool. IV (2020)
Markus Plass, Philipp Faulhammer, Robert Reihs, Andreas Holzinger, Kurt Zatloukal, Heimo Müller
Reconstruct and Visualise Hierarchical Relationships in Whole Slide Images. IV (2020)
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, Martin C. Stumpe, Heimo Müller, Peter Regitnig, Andreas Holzinger, Gregory S. Corrado, Lily H. Peng, Po-Hsuan Cameron Chen, David F. Steiner, Kurt Zatloukal, Yun Liu, Craig H. Mermel
Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading. CoRR (2020)
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, Robert MacDonald, Benny Ayalew, Gregory S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning. CoRR (2020)
Robert Reihs, Birgit Pohn, Kurt Zatloukal, Andreas Holzinger, Heimo Müller
NLP for the Generation of Training Data Sets for Ontology-Guided Weakly-Supervised Machine Learning in Digital Pathology. ISCC (2019)
Birgit Pohn, Marie-Christina Mayer, Robert Reihs, Andreas Holzinger, Kurt Zatloukal, Heimo Müller
Visualization of Histopathological Decision Making Using a Roadbook Metaphor. IV (1) (2019)
Birgit Pohn, Michaela Kargl, Robert Reihs, Andreas Holzinger, Kurt Zatloukal, Heimo Müller
Towards a Deeper Understanding of How a Pathologist Makes a Diagnosis: Visualization of the Diagnostic Process in Histopathology. ISCC (2019)
Heimo Müller, Martina Lang, Bernhard Wieser, Robert Reihs, Birgit Pohn, Andreas Holzinger, Kurt Zatloukal
Acceptance of Virtual Health Avatars. ICSSA (2019)
Andreas Holzinger, Bernd Malle, Peter Kieseberg, Peter M. Roth, Heimo Müller, Robert Reihs, Kurt Zatloukal
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology. CoRR (2017)
Heimo Müller, Robert Reihs, Andreas E. Posch, A. Kremer, D. Ulrich, Kurt Zatloukal
Data Driven GUI Design and Visualization for a NGS Based Clinical Decision Support System. IV (2016)
Andreas Holzinger, Bernd Malle, Peter Kieseberg, Peter M. Roth, Heimo Müller, Robert Reihs, Kurt Zatloukal
Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach. BIRS-IMLKE (2015)
Heimo Müller, Robert Reihs, Kurt Zatloukal, Andreas Holzinger
Analysis of biomedical data with multilevel glyphs. BMC Bioinform. 15 (S-6) (2014)
Heimo Müller, Hermann A. Maurer, Robert Reihs, Stefan Sauer, Kurt Zatloukal
Adaptive Visual Symbols for Personal Health Records. IV (2011)
Heimo Müller, Robert Reihs, Stefan Sauer, Kurt Zatloukal, Marc Streit, Alexander Lex, Bernhard Schlegl, Dieter Schmalstieg
Connecting Genes with Diseases. IV (2009)