Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Plass Markus |
** = Publikationen gelistet in SCI/SSCI/Pubmed
2025
Originalarbeit (Zeitschrift)
** Kraisnikovic, C; Harb, R; Plass, M; Al Zoughbi, W; Holzinger, A; Müller, H
Fine-tuning language model embeddings to reveal domain knowledge: An explainable artificial intelligence perspective on medical decision making
ENG APPL ARTIF INTEL. 2025; 139: 109561
Doi: 10.1016/j.engappai.2024.109561
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** Plass, M; Olteanu, GE; Dacic, S; Kern, I; Zacharias, M; Popper, H; Fukuoka, J; Ishijima, S; Kargl, M; Murauer, C; Kalson, L; Brcic, L
Comparative performance of PD-L1 scoring by pathologists and AI algorithms.
Histopathology. 2025;
Doi: 10.1111/his.15432
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2024
Originalarbeit (Zeitschrift)
** Reitsam, NG; Grosser, B; Steiner, DF; Grozdanov, V; Wulczyn, E; L'Imperio, V; Plass, M; Müller, H; Zatloukal, K; Muti, HS; Kather, JN; Maerkl, B
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer
COMMUN MED-LONDON. 2024; 4(1): 163
Doi: 10.1038/s43856-024-00589-6
[OPEN ACCESS]
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** Wittner, R; Holub, P; Mascia, C; Frexia, F; Müller, H; Plass, M; Allocca, C; Betsou, F; Burdett, T; Cancio, I; Chapman, A; Chapman, M; Courtot, M; Curcin, V; Eder, J; Elliot, M; Exter, K; Goble, C; Golebiewski, M; Kisler, B; Kremer, A; Leo, S; Lin-Gibson, S; Marsano, A; Mattavelli, M; Moore, J; Nakae, H; Perseil, I; Salman, A; Sluka, J; Soiland-Reyes, S; Strambio-De-Castillia, C; Sussman, M; Swedlow, JR; Zatloukal, K; Geiger, J
Toward a common standard for data and specimen provenance in life sciences.
Learn Health Syst. 2024; 8(1): e10365
Doi: 10.1002/lrh2.10365
[OPEN ACCESS]
PubMed
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Übersichtsarbeit
** Zerbe, N; Schwen, LO; Geißler, C; Wiesemann, K; Bisson, T; Boor, P; Carvalho, R; Franz, M; Jansen, C; Kiehl, TR; Lindequist, B; Pohlan, NC; Schmell, S; Strohmenger, K; Zakrzewski, F; Plass, M; Takla, M; Küster, T; Homeyer, A; Hufnagl, P
Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative.
J Pathol Inform. 2024; 15:100387
Doi: 10.1016/j.jpi.2024.100387
[OPEN ACCESS]
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2023
Originalarbeit (Zeitschrift)
** Höhn, J; Krieghoff-Henning, E; Wies, C; Kiehl, L; Hetz, MJ; Bucher, TC; Jonnagaddala, J; Zatloukal, K; Müller, H; Plass, M; Jungwirth, E; Gaiser, T; Steeg, M; Holland-Letz, T; Brenner, H; Hoffmeister, M; Brinker, TJ
Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning
NPJ PRECIS ONCOL. 2023; 7(1): 98
Doi: 10.1038/s41698-023-00451-3
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** Holub, P; Muller, H; Bil, T; Pireddu, L; Plass, M; Prasser, F; Schlunder, I; Zatloukal, K; Nenutil, R; Brazdil, T
Privacy risks of whole-slide image sharing in digital pathology
NAT COMMUN. 2023; 14(1): 2577
Doi: 10.1038/s41467-023-37991-y
[OPEN ACCESS]
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** Krogue, JD; Azizi, S; Tan, FS; Flament-Auvigne, I; Brown, T; Plass, M; Reihs, R; Muller, H; Zatloukal, K; Richeson, P; Corrado, GS; Peng, LH; Mermel, CH; Liu, Y; Chen, PHC; Gombar, S; Montine, T; Shen, J; Steiner, DF; Wulczyn, E
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning
COMMUN MED-LONDON. 2023; 3(1): 59
Doi: 10.1038/s43856-023-00282-0
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** L'Imperio, V; Wulczyn, E; Plass, M; Müller, H; Tamini, N; Gianotti, L; Zucchini, N; Reihs, R; Corrado, GS; Webster, DR; Peng, LH; Chen, PC; Lavitrano, M; Liu, Y; Steiner, DF; Zatloukal, K; Pagni, F
Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk Stratification.
JAMA Netw Open. 2023; 6(3): e2254891
Doi: 10.1001/jamanetworkopen.2022.54891
[OPEN ACCESS]
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** Muller, H; Lopes-Dias, C; Holub, P; Plass, M; Jungwirth, E; Reihs, R; Torke, PR; Malatras, A; Berger, A; Coombs, H; Dillner, J; Merino-Martinez, R
BIBBOX, a FAIR toolbox and App Store for life science research
NEW BIOTECHNOL. 2023; 77: 12-19.
Doi: 10.1016/j.nbt.2023.06.001
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** Plass, M; Wittner, R; Holub, P; Frexia, F; Mascia, C; Gallo, M; Müller, H; Geiger, J
Provenance of specimen and data - A prerequisite for AI development in computational pathology
NEW BIOTECHNOL. 2023; 78: 22-28.
Doi: 10.1016/j.nbt.2023.09.006
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Übersichtsarbeit
** Plass, M; Kargl, M; Kiehl, TR; Regitnig, P; Geißler, C; Evans, T; Zerbe, N; Carvalho, R; Holzinger, A; Müller, H
Explainability and causability in digital pathology.
J Pathol Clin Res. 2023; 9(4):251-260
Doi: 10.1002/cjp2.322
[OPEN ACCESS]
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Editorial
** Wittner, R; Holub, P; Mascia, C; Frexia, F; Muller, H; Plass, M; Allocca, C; Betsou, F; Burdett, T; Cancio, I; Chapman, A; Chapman, M; Courtot, M; Curcin, V; Eder, J; Elliot, M; Exter, K; Goble, C; Golebiewski, M; Kisler, B; Kremer, A; Leo, S; Lin-Gibson, S; Marsano, A; Mattavelli, M; Moore, J; Nakae, H; Perseil, I; Salman, A; Sluka, J; Soiland-Reyes, S; Strambio-De-Castillia, C; Sussman, M; Swedlow, JR; Zatloukal, K; Geiger, J
Toward a common standard for data and specimen provenance in life sciences
LEARN HEALTH SYST. 2023; e10365
Doi: 10.1002/lrh2.10365
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2022
Originalarbeit (Zeitschrift)
** Evans, T; Retzlaff, CO; Geissler, C; Kargl, M; Plass, M; Muller, H; Kiehl, TR; Zerbe, N; Holzinger, A
The explainability paradox: Challenges for xAI in digital pathology
FUTURE GENER COMP SY. 2022; 133: 281-296.
Doi: 10.1016/j.future.2022.03.009
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** Frexia, F; Mascia, C; Wittner, R; Plass, M; Müller, H; Geiger, J; Holub, P
The Common Provenance Model: Capturing Distributed Provenance in Life Sciences Processes.
Stud Health Technol Inform. 2022; 294: 415-416.
Doi: 10.3233/SHTI220489
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** Holzinger, A; Kargl, M; Kipperer, B; Regitnig, P; Plass, M; Muller, H
Personas for Artificial Intelligence (AI) an Open Source Toolbox
IEEE ACCESS. 2022; 10: 23732-23747.
Doi: 10.1109/ACCESS.2022.3154776
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** Müller, H; Holzinger, A; Plass, M; Brcic, L; Stumptner, C; Zatloukal, K
Explainability and causability for artificial intelligence-supported medical image analysis in the context of the European In Vitro Diagnostic Regulation.
N Biotechnol. 2022; 70:67-72
Doi: 10.1016/j.nbt.2022.05.002
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** Plass, M; Kargl, M; Nitsche, P; Jungwirth, E; Holzinger, A; Muller, H
Understanding and Explaining Diagnostic Paths: Towards Augmented Decision Making.
IEEE Comput Graph Appl. 2022; PP:
Doi: 10.1109/MCG.2022.3197957
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** Wittner, R; Mascia, C; Gallo, M; Frexia, F; Müller, H; Plass, M; Geiger, J; Holub, P
Lightweight Distributed Provenance Model for Complex Real-world Environments.
Sci Data. 2022; 9(1): 503
Doi: 10.1038/s41597-022-01537-6
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Übersichtsarbeit
** Homeyer, A; Geißler, C; Schwen, LO; Zakrzewski, F; Evans, T; Strohmenger, K; Westphal, M; Bülow, RD; Kargl, M; Karjauv, A; Munné-Bertran, I; Retzlaff, CO; Romero-López, A; Sołtysiński, T; Plass, M; Carvalho, R; Steinbach, P; Lan, YC; Bouteldja, N; Haber, D; Rojas-Carulla, M; Vafaei, Sadr, A; Kraft, M; Krüger, D; Fick, R; Lang, T; Boor, P; Müller, H; Hufnagl, P; Zerbe, N
Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology.
Mod Pathol. 2022; 35(12):1759-1769
Doi: 10.1038/s41379-022-01147-y
[OPEN ACCESS]
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** Kargl, M; Plass, M; Müller, H
A Literature Review on Ethics for AI in Biomedical Research and Biobanking.
Yearb Med Inform. 2022; 31(1): 152-160.
Doi: 10.1055/s-0042-1742516
[OPEN ACCESS]
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Korrektur
** Homeyer, A; Geißler, C; Schwen, LO; Zakrzewski, F; Evans, T; Strohmenger, K; Westphal, M; Bülow, RD; Kargl, M; Karjauv, A; Munné-Bertran, I; Retzlaff, CO; Romero-López, A; Sołtysiński, T; Plass, M; Carvalho, R; Steinbach, P; Lan, YC; Bouteldja, N; Haber, D; Rojas-Carulla, M; Vafaei, Sadr, A; Kraft, M; Krüger, D; Fick, R; Lang, T; Boor, P; Müller, H; Hufnagl, P; Zerbe, N
Publisher Correction to: Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology.
Mod Pathol. 2022; 35(12): 2034
Doi: 10.1038/s41379-022-01163-y
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Abstract (Zeitschrift)
** Plass, M; Dacic, S; Kern, I; Zacharias, M; Popper, H; Fukuoka, J; Kargl, M; Muller, H; Murauer, C; Brcic, L
A Comparative Study of PD-L1 Scoring: Humans versus AI
J THORAC ONCOL. 2022; 17(9): S515-S515.
[Poster]
Web of Science
2021
Originalarbeit (Zeitschrift)
** Wulczyn, E; Nagpal, K; Symonds, M; Moran, M; Plass, M; Reihs, R; Nader, F; Tan, F; Cai, Y; Brown, T; Flament-Auvigne, I; Amin, MB; Stumpe, MC; Müller, H; Regitnig, P; Holzinger, A; Corrado, GS; Peng, LH; Chen, PC; Steiner, DF; Zatloukal, K; Liu, Y; Mermel, CH
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading.
Commun Med (Lond). 2021; 1: 10
Doi: 10.1038/s43856-021-00005-3
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** Wulczyn, E; Steiner, DF; Moran, M; Plass, M; Reihs, R; Tan, F; Flament-Auvigne, I; Brown, T; Regitnig, P; Chen, PC; Hegde, N; Sadhwani, A; MacDonald, R; Ayalew, B; Corrado, GS; Peng, LH; Tse, D; Müller, H; Xu, Z; Liu, Y; Stumpe, MC; Zatloukal, K; Mermel, CH
Interpretable survival prediction for colorectal cancer using deep learning.
NPJ Digit Med. 2021; 4(1): 71-71.
Doi: 10.1038/s41746-021-00427-2
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2020
Übersichtsarbeit
** Jahn, SW; Plass, M; Moinfar, F
Digital Pathology: Advantages, Limitations and Emerging Perspectives.
J Clin Med. 2020; 9(11):
Doi: 10.3390/jcm9113697
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2019
Originalarbeit (Zeitschrift)
** Holzinger, A; Plass, M; Kickmeier-Rust, M; Holzinger, K; Crisan, GC; Pintea, CM; Palade, V
Interactive machine learning: experimental evidence for the human in the algorithmic loop: A case study on Ant Colony Optimization
APPL INTELL. 2019; 49(7): 2401-2414.
Doi: 10.1007/s10489-018-1361-5
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