Markus Plass

According to our database, Markus Plass authored at least 19 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The System Hallucination Scale (SHS): A Minimal yet Effective Human-Centered Instrument for Evaluating Hallucination-Related Behavior in Large Language Models.

Heimo Müller, Dominik Steiger, Markus Plass, Andreas Holzinger

CoRR, March, 2026

Integrating AI into clinical practice: Human-centered design requirements for next-generation sequencing workflows.

Markus Plass, Andreas Holzinger, Robert Reihs, Heimo Müller

Comput. Medical Imaging Graph., 2026

From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology.

Gernot Fiala, Markus Plass, Robert Harb, Peter Regitnig, Kristijan Skok, Wael Al Zoughbi, Carmen Zerner, Paul R. Torke, Michaela Kargl, Heimo Müller, Tomás Brázdil, Matej Gallo, Jaroslav Kubín, Roman Stoklasa, Rudolf Nenutil, Norman Zerbe, Andreas Holzinger, Petr Holub

Artif. Intell. Medicine, 2026

2025

Standardized Multi-Layer Tissue Maps for Enhanced Artificial Intelligence Integration and Search in Large-Scale Whole Slide Image Archives.

Gernot Fiala, Markus Plass, Robert Harb, Peter Regitnig, Kristijan Skok, Wael Al Zoughbi, Carmen Zerner, Paul R. Torke, Michaela Kargl, Heimo Müller, Tomás Brázdil, Matej Gallo, Jaroslav Kubín, Roman Stoklasa, Rudolf Nenutil, Norman Zerbe, Andreas Holzinger, Petr Holub

CoRR, August, 2025

An AI-powered data curation and publishing virtual assistant: usability and explainability/causability of, and patient interest in the first-generation prototype.

Rutger van Mierlo, Wenjie Liang, Kerli Norak, Michaela Kargl, Mall Maasik, Anne-Lore Bynens, Markus Plass, Markus Kreuzthaler, Martin Benedikt, Laura Hochstenbach, Arnoud van 't Hof, Remzi Celebi, Andre Dekker, Isabelle de Zegher, Petros Kalendralis

Frontiers Digit. Health, 2025

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

2024

Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative.

Norman Zerbe, Lars Ole Schwen, Christian Geißler, Katja Wiesemann, Tom Bisson, Peter Boor, Rita Carvalho, Michael Franz, Christoph Jansen, Tim-Rasmus Kiehl, Björn Lindequist, Nora Charlotte Pohlan, Sarah Schmell, Klaus Strohmenger, Falk Zakrzewski, Markus Plass, Michael Takla, Tobias Küster, André Homeyer, Peter Hufnagl

CoRR, 2024

2023

The Tower of Babel in Explainable Artificial Intelligence (XAI).

David Schneeberger, Richard Röttger, Federico Cabitza, Andrea Campagner, Markus Plass, Heimo Müller, Andreas Holzinger

Proceedings of the Machine Learning and Knowledge Extraction, 2023

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

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, Adrià Romero-López, Tomasz Soltysinski, Markus Plass, Rita Carvalho, Peter Steinbach, Yu-Chia Lan, Nassim Bouteldja, David Haber, Mateo Rojas-Carulla, Alireza Vafaei Sadr, Matthias Kraft, Daniel Krüger, Rutger Fick, Tobias Lang, Peter Boor, Heimo Müller, Peter Hufnagl, Norman Zerbe

CoRR, 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

Personas for Artificial Intelligence (AI) an Open Source Toolbox.

Andreas Holzinger, Michaela Kargl, Bettina Kipperer, Peter Regitnig, Markus Plass, Heimo Müller

IEEE Access, 2022

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

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

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, 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

npj Digit. Medicine, 2021

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, 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

CoRR, 2020

Reconstruct and Visualise Hierarchical Relationships in Whole Slide Images.

Markus Plass, Philipp Faulhammer, Robert Reihs, Andreas Holzinger, Kurt Zatloukal, Heimo Müller

Proceedings of the 24th International Conference on Information Visualisation, 2020

2019

Interactive machine learning: experimental evidence for the human in the algorithmic loop - A case study on Ant Colony Optimization.

Andreas Holzinger, Markus Plass, Michael D. Kickmeier-Rust, Katharina Holzinger, Gloria Cerasela Crisan, Camelia-Mihaela Pintea, Vasile Palade

Appl. Intell., 2019

2017

A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop.

Andreas Holzinger, Markus Plass, Katharina Holzinger, Gloria Cerasela Crisan, Camelia-Mihaela Pintea, Vasile Palade

CoRR, 2017

2016

Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach.

Andreas Holzinger, Markus Plass, Katharina Holzinger, Gloria Cerasela Crisan, Camelia-Mihaela Pintea, Vasile Palade

Proceedings of the Availability, Reliability, and Security in Information Systems, 2016