Markus Plass
Markus Plass
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Digital pathology: advantages, limitations and emerging perspectives
SW Jahn, M Plass, F Moinfar
Journal of clinical medicine 9 (11), 3697, 2020
Interactive machine learning: experimental evidence for the human in the algorithmic loop: A case study on Ant Colony Optimization
A Holzinger, M Plass, M Kickmeier-Rust, K Holzinger, GC Crişan, ...
Applied Intelligence 49, 2401-2414, 2019
A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop
A Holzinger, M Plass, K Holzinger, GC Crisan, CM Pintea, V Palade
arXiv preprint arXiv:1708.01104, 2017
Towards interactive Machine Learning (iML): applying ant colony algorithms to solve the traveling salesman problem with the human-in-the-loop approach
A Holzinger, M Plass, K Holzinger, GC Crişan, CM Pintea, V Palade
Availability, Reliability, and Security in Information Systems: IFIP WG 8.4 …, 2016
Interpretable survival prediction for colorectal cancer using deep learning
E Wulczyn, DF Steiner, M Moran, M Plass, R Reihs, F Tan, ...
NPJ digital medicine 4 (1), 71, 2021
The explainability paradox: Challenges for xAI in digital pathology
T Evans, CO Retzlaff, C Geißler, M Kargl, M Plass, H Müller, TR Kiehl, ...
Future Generation Computer Systems 133, 281-296, 2022
Explainability and causability for artificial intelligence-supported medical image analysis in the context of the European In Vitro Diagnostic Regulation
H Müller, A Holzinger, M Plass, L Brcic, C Stumptner, K Zatloukal
New Biotechnology 70, 67-72, 2022
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading
E Wulczyn, K Nagpal, M Symonds, M Moran, M Plass, R Reihs, F Nader, ...
Communications medicine 1 (1), 10, 2021
Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology
A Homeyer, C Geißler, LO Schwen, F Zakrzewski, T Evans, ...
Modern Pathology 35 (12), 1759-1769, 2022
Personas for artificial intelligence (AI) an open source toolbox
A Holzinger, M Kargl, B Kipperer, P Regitnig, M Plass, H Müller
IEEE Access 10, 23732-23747, 2022
Explainability and causability in digital pathology
M Plass, M Kargl, TR Kiehl, P Regitnig, C Geißler, T Evans, N Zerbe, ...
The Journal of Pathology: Clinical Research 9 (4), 251-260, 2023
Lightweight distributed provenance model for complex real–world environments
R Wittner, C Mascia, M Gallo, F Frexia, H Müller, M Plass, J Geiger, ...
Scientific Data 9 (1), 503, 2022
A literature review on ethics for AI in biomedical research and biobanking
M Kargl, M Plass, H Müller
Yearbook of Medical Informatics 31 (01), 152-160, 2022
Pathologist validation of a machine learning–derived feature for colon cancer risk stratification
V L’Imperio, E Wulczyn, M Plass, H Müller, N Tamini, L Gianotti, ...
JAMA Network Open 6 (3), e2254891-e2254891, 2023
Privacy risks of whole-slide image sharing in digital pathology
P Holub, H Müller, T Bíl, L Pireddu, M Plass, F Prasser, I Schlünder, ...
Nature Communications 14 (1), 2577, 2023
Towards a taxonomy for explainable AI in computational pathology
H Müller, M Kargl, M Plass, B Kipperer, L Brcic, P Regitnig, C Geißler, ...
Humanity Driven AI: Productivity, Well-being, Sustainability and Partnership …, 2022
Interactive machine learning (iml): a challenge for game-based approaches
A Holzinger, M Plass, MD Kickmeier-Rust, I Guyon, E Viegas, S Escalera, ...
Challenges in Machine Learning: Gaming and Education. NIPS Workshops, 2016
The tower of babel in explainable artificial intelligence (XAI)
D Schneeberger, R Röttger, F Cabitza, A Campagner, M Plass, H Müller, ...
International Cross-Domain Conference for Machine Learning and Knowledge …, 2023
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning
JD Krogue, S Azizi, F Tan, I Flament-Auvigne, T Brown, M Plass, R Reihs, ...
Communications Medicine 3 (1), 59, 2023
Understanding and explaining diagnostic paths: toward augmented decision making
M Plass, M Kargl, P Nitsche, E Jungwirth, A Holzinger, H Müller
IEEE Computer Graphics and Applications 42 (6), 47-57, 2022
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