Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Müller Heimo |
** = Publikationen gelistet in SCI/SSCI/Pubmed
2025
Originalarbeit (Zeitschrift)
** Huelser, M; Mueller, H; Díaz-Rodríguez, N; Holzinger, A
On the disagreement problem in Human-in-the-Loop federated machine learning
J IND INF INTEGR. 2025; 45: 100827
Doi: 10.1016/j.jii.2025.100827
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** 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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Editorial
** Holzinger, A; Zatloukal, K; Müller, H
Is human oversight to AI systems still possible?
N Biotechnol. 2025; 85: 59-62.
Doi: 10.1016/j.nbt.2024.12.003
Web of Science
PubMed
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2024
Originalarbeit (Zeitschrift)
** de, Zegher, I; Norak, K; Steiger, D; Müller, H; Kalra, D; Scheenstra, B; Cina, I; Shulz, S; Uma, K; Kalendralis, P; Lotmam, EM; Benedikt, M; Dumontier, M; Celebi, R
Artificial intelligence based data curation: enabling a patient-centric European health data space.
Front Med (Lausanne). 2024; 11: 1365501
Doi: 10.3389/fmed.2024.1365501
[OPEN ACCESS]
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** Eklund, N; Engels, C; Neumann, M; Strug, A; van Enckevort, E; Baber, R; Bloemers, M; Debucquoy, A; van der Lugt, A; Müller, H; Parkkonen, L; Quinlan, PR; Urwin, E; Holub, P; Silander, K; Anton, G
Update of the Minimum Information About BIobank Data Sharing (MIABIS) Core Terminology to the 3rd Version
BIOPRESERV BIOBANK. 2024;
Doi: 10.1089/bio.2023.0074
Web of Science
PubMed
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** Hausleitner, C; Mueller, H; Holzinger, A; Pfeifer, B
Collaborative weighting in federated graph neural networks for disease classification with the human-in-the-loop.
Sci Rep. 2024; 14(1): 21839
Doi: 10.1038/s41598-024-72748-7
[OPEN ACCESS]
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** Jean-Quartier, C; Stryeck, S; Thien, A; Vrella, B; Kleinschuster, J; Spreitzer, E; Wali, M; Mueller, H; Holzinger, A; Jeanquartier, F
Unlocking biomedical data sharing: A structured approach with digital twins and artificial intelligence (AI) for open health sciences
DIGIT HEALTH. 2024; 10: 20552076241271769
Doi: 10.1177/20552076241271769
[OPEN ACCESS]
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** Kurz, A; Müller, H; Kather, JN; Schneider, L; Bucher, TC; Brinker, TJ
3-Dimensional Reconstruction from Histopathological Sections: A Systematic Review.
Lab Invest. 2024; 102049
Doi: 10.1016/j.labinv.2024.102049
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** Loizidou, EM; Kyratzi, M; Tsiarli, MA; Kakouri, AC; Charalambidou, G; Antoniou, S; Pieri, S; Veloudi, P; Mayrhofer, MT; Wutte, A; Kozera, L; Habermann, J; Muller, H; Zatloukal, K; Sargsyan, K; Michaelides, A; Papaioannou, M; Schizas, C; Malatras, A; Papagregoriou, G; Deltas, C
biobank.cy: the Biobank of Cyprus past, present and 0 future.
Sci Rep. 2024; 14(1): 28517
Doi: 10.1038/s41598-024-78644-4
[OPEN ACCESS]
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PubMed
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** 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]
Web of Science
PubMed
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** Retzlaff, CO; Angerschmid, A; Saranti, A; Schneeberger, D; Röttger, R; Müller, H; Holzinger, A
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists
COGN SYST RES. 2024; 86: 101243
Doi: 10.1016/j.cogsys.2024.101243
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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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** Zhou, JL; Müller, H; Holzinger, A; Chen, F
Ethical ChatGPT: Concerns, Challenges, and Commandments
ELECTRONICS-SWITZ. 2024; 13(17): 3417
Doi: 10.3390/electronics13173417
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2023
Originalarbeit (Zeitschrift)
** Adelsmayr, G; Janisch, M; Müller, H; Holzinger, A; Talakic, E; Janek, E; Streit, S; Fuchsjäger, M; Schöllnast, H
Three dimensional computed tomography texture analysis of pulmonary lesions: Does radiomics allow differentiation between carcinoma, neuroendocrine tumor and organizing pneumonia?
Eur J Radiol. 2023; 165:110931
Doi: 10.1016/j.ejrad.2023.110931
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** Coombs, H; Wootton, T; Dillner, J; Müller, H; Berger, A; Kozlakidis, Z
Creating personas for exposome research: the experience from the HEAP project.
Open Res Eur. 2023; 3: 28
Doi: 10.12688/openreseurope.15474.1
[OPEN ACCESS]
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** 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
[OPEN ACCESS]
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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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** Holzinger, A; Keiblinger, K; Holub, P; Zatloukal, K; Müller, H
AI for life: Trends in artificial intelligence for biotechnology.
NEW BIOTECHNOL. 2023; 74: 16-24.
Doi: 10.1016/j.nbt.2023.02.001
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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
[OPEN ACCESS]
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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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** Matschinske, J; Späth, J; Bakhtiari, M; Probul, N; Kazemi, Majdabadi, MM; Nasirigerdeh, R; Torkzadehmahani, R; Hartebrodt, A; Orban, BA; Fejér, SJ; Zolotareva, O; Das, S; Baumbach, L; Pauling, JK; Tomašević, O; Bihari, B; Bloice, M; Donner, NC; Fdhila, W; Frisch, T; Hauschild, AC; Heider, D; Holzinger, A; Hötzendorfer, W; Hospes, J; Kacprowski, T; Kastelitz, M; List, M; Mayer, R; Moga, M; Müller, H; Pustozerova, A; Röttger, R; Saak, CC; Saranti, A; Schmidt, HHHW; Tschohl, C; Wenke, NK; Baumbach, J
The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach.
J MED INTERNET RES. 2023; 25: e42621
Doi: 10.2196/42621
[OPEN ACCESS]
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** Møller, FT; Junker, TG; Kold, Sørensen, K; Eves, C; Wohlfahrt, J; Dillner, J; Torp-Pedersen, C; Wilkowski, B; Chong, S; Pers, TH; Yakimov, V; Müller, H; Ethelberg, S; Melbye, M
Assessing household lifestyle exposures from consumer purchases, the My Purchases cohort.
Sci Rep. 2023; 13(1): 21601
Doi: 10.1038/s41598-023-47534-6
[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
** Holzinger, A; Saranti, A; Angerschmid, A; Finzel, B; Schmid, U; Mueller, H
Toward human-level concept learning: Pattern benchmarking for AI algorithms.
Patterns (N Y). 2023; 4(8): 100788
Doi: 10.1016/j.patter.2023.100788
[OPEN ACCESS]
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** 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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Abstract (Zeitschrift)
** Zerbe, N; Homeyer, A; Geissler, C; Pilz, T; Jansen, C; Kiehl, R; Weiss, N; Wiesemann, K; Mueller, H; Hufnagl, P
The EMPAIA Initiative: An Ecosystem Approach for Joining Forces in Pathology to Foster Application of AI in Clinical Practice
LAB INVEST. 2023; 103(3): S1330-S1331.
[Poster]
Web of Science
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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** Janisch, M; Adelsmayr, G; Müller, H; Holzinger, A; Janek, E; Talakic, E; Fuchsjäger, M; Schöllnast, H
Non-contrast-enhanced CT texture analysis of primary and metastatic pancreatic ductal adenocarcinomas: value in assessment of histopathological grade and differences between primary and metastatic lesions.
Abdom Radiol (NY). 2022; 47(12):4151-4159
Doi: 10.1007/s00261-022-03646-7
[OPEN ACCESS]
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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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PubMed
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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
[OPEN ACCESS]
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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]
Web of Science
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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
[OPEN ACCESS]
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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)
** Holzinger, A; Muller, H
Toward Human-AI Interfaces to Support Explainability and Causability in Medical AI
COMPUTER. 2021; 54(10): 78-86.
Doi: 10.1109/MC.2021.3092610
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** Martinez, RM; Muller, H; Negru, S; Ormenisan, A; Muhr, LSA; Zhang, XY; Moller, FT; Clements, MS; Kozlakidis, Z; Pimenoff, VN; Wilkowski, B; Boeckhout, M; Ohman, H; Chong, S; Holzinger, A; Lehtinen, M; van Veen, EB; Bala, P; Widschwendter, M; Dowling, J; Tornroos, J; Snyder, MP; Dillner, J
Human exposome assessment platform
ENVIRON EPIDEMIOL. 2021; 5(6): e182
Doi: 10.1097/EE9.0000000000000182
[OPEN ACCESS]
Web of Science
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** Muller, H; Holzinger, A
Kandinsky Patterns
ARTIF INTELL. 2021; 300: 103546
Doi: 10.1016/j.artint.2021.103546
[OPEN ACCESS]
Web of Science
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** Muller, H; Mayrhofer, MT; Evert-Ben Van Veen; Holzinger, A
The Ten Commandments of Ethical Medical AI
COMPUTER. 2021; 54(7): 119-123.
Doi: 10.1109/MC.2021.3074263
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** Reihs, R; Proynova, R; Maqsood, S; Ataian, M; Lablans, M; Quinlan, PR; Lawrence, E; Bowman, E; van Enckevort, E; Bucik, DF; Muller, H; Holub, P
BBMRI-ERIC Negotiator: Implementing Efficient Access to Biobanks
BIOPRESERV BIOBANK. 2021;
Doi: 10.1089/bio.2020.0144
[OPEN ACCESS]
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** 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
[OPEN ACCESS]
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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
[OPEN ACCESS]
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2020
Originalarbeit (Zeitschrift)
** Eklund, N; Andrianarisoa, NH; van Enckevort, E; Anton, G; Debucquoy, A; Müller, H; Zaharenko, L; Engels, C; Ebert, L; Neumann, M; Geeraert, J; T'Joen, V; Demski, H; Caboux, É; Proynova, R; Parodi, B; Mate, S; van Iperen, E; Merino-Martinez, R; Quinlan, PR; Holub, P; Silander, K
Extending the Minimum Information About BIobank Data Sharing Terminology to Describe Samples, Sample Donors, and Events.
Biopreserv Biobank. 2020; 18(3):155-164
Doi: 10.1089/bio.2019.0129
[OPEN ACCESS]
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** Holzinger, A; Carrington, A; Müller, H
Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations.
Kunstliche Intell (Oldenbourg). 2020; 34(2):193-198
Doi: 10.1007/s13218-020-00636-z
[OPEN ACCESS]
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** Holzinger, A; Kieseberg, P; Mulller, H
KANDINSKY Patterns: A Swiss-Knife for the Study of Explainable AI.
ERCIM NEWS. 2020; (120): 41-42.
Web of Science
Übersichtsarbeit
** Müller, H; Dagher, G; Loibner, M; Stumptner, C; Kungl, P; Zatloukal, K
Biobanks for life sciences and personalized medicine: importance of standardization, biosafety, biosecurity, and data management.
Curr Opin Biotechnol. 2020; 65(4):45-51
Doi: 10.1016/j.copbio.2019.12.004
[OPEN ACCESS]
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Korrektur
** Golob-Schwarzl, N; Bettermann, K; Mehta, AK; Kessler, SM; Unterluggauer, J; Krassnig, S; Kojima, K; Chen, X; Hoshida, Y; Bardeesy, NM; Müller, H; Svendova, V; Schimek, MG; Diwoky, C; Lipfert, A; Mahajan, V; Stumptner, C; Thüringer, A; Fröhlich, LF; Stojakovic, T; Nilsson, KPR; Kolbe, T; Rülicke, T; Magin, TM; Strnad, P; Kiemer, AK; Moriggl, R; Haybaeck, J
Corrigendum to High Keratin 8/18 Ratio Predicts Aggressive Hepatocellular Cancer Phenotype12 [Translational Oncology Volume 12, Issue 2, February 2019, Pages 256-268].
Transl Oncol. 2020; 13(2):490-492
Doi: 10.1016/j.tranon.2019.08.001
[OPEN ACCESS]
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2019
Originalarbeit (Zeitschrift)
** Golob-Schwarzl, N; Bettermann, K; Mehta, AK; Kessler, SM; Unterluggauer, J; Krassnig, S; Kojima, K; Chen, X; Hoshida, Y; Bardeesy, NM; Müller, H; Svendova, V; Schimek, MG; Diwoky, C; Lipfert, A; Mahajan, V; Stumptner, C; Thüringer, A; Fröhlich, LF; Stojakovic, T; Nilsson, KPR; Kolbe, T; Rülicke, T; Magin, TM; Strnad, P; Kiemer, AK; Moriggl, R; Haybaeck, J
High Keratin 8/18 Ratio Predicts Aggressive Hepatocellular Cancer Phenotype.
Transl Oncol. 2019; 12(2):256-268
Doi: 10.1016/j.tranon.2018.10.010
[OPEN ACCESS]
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Übersichtsarbeit
** Holzinger, A; Langs, G; Denk, H; Zatloukal, K; Muller, H
Causability and explainability of artificial intelligence in medicine
WIRES DATA MIN KNOWL. 2019; 9(4): e1312
Doi: 10.1002/widm.1312
[OPEN ACCESS]
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2018
Originalarbeit (Zeitschrift)
** Gainotti, S; Torreri, P; Wang, CM; Reihs, R; Mueller, H; Heslop, E; Roos, M; Badowska, DM; de Paulis, F; Kodra, Y; Carta, C; Martìn, EL; Miller, VR; Filocamo, M; Mora, M; Thompson, M; Rubinstein, Y; Posada de la Paz, M; Monaco, L; Lochmüller, H; Taruscio, D
The RD-Connect Registry & Biobank Finder: a tool for sharing aggregated data and metadata among rare disease researchers.
Eur J Hum Genet. 2018; 26(5): 631-643.
Doi: 10.1038/s41431-017-0085-z
[OPEN ACCESS]
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** Kodra, Y; Weinbach, J; Posada-de-la-Paz, M; Coi, A; Lemonnier, SL; van Enckevort, D; Roos, M; Jacobsen, A; Cornet, R; Ahmed, SF; Bros-Facer, V; Popa, V; Van Meel, M; Renault, D; von Gizycki, R; Santoro, M; Landais, P; Torreri, P; Carta, C; Mascalzoni, D; Gainotti, S; Lopez, E; Ambrosini, A; Müller, H; Reis, R; Bianchi, F; Rubinstein, YR; Lochmüller, H; Taruscio, D
Recommendations for Improving the Quality of Rare Disease Registries.
Int J Environ Res Public Health. 2018; 15(8):
Doi: 10.3390/ijerph15081644
[OPEN ACCESS]
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Übersichtsarbeit
** Zatloukal, K; Stumptner, C; Kungl, P, Müller, H
Biobanks in personalized medicine.
Expert review of precision medicine and drug development. 2018; 3(4): 265-273.
Doi: 10.1080/23808993.2018.1493921
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2017
Originalarbeit (Zeitschrift)
** Bendou, H; Sizani, L; Reid, T; Swanepoel, C; Ademuyiwa, T; Merino-Martinez, R; Meuller, H; Abayomi, A; Christoffels, A
Baobab Laboratory Information Management System: Development of an Open-Source Laboratory Information Management System for Biobanking.
Biopreserv Biobank. 2017; 15(2): 116-120.
Doi: 10.1089/bio.2017.0014
[OPEN ACCESS]
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** Hofer-Picout, P; Pichler, H; Eder, J; Neururer, SB; Müller, H; Reihs, R; Holub, P; Insam, T; Goebel, G
Conception and Implementation of an Austrian Biobank Directory Integration Framework.
Biopreserv Biobank. 2017; 15(4):332-340
Doi: 10.1089/bio.2016.0113
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** Müller, H; Malservet, N; Quinlan, P; Reihs, R; Penicaud, M; Chami, A; Zatloukal, K; Dagher, G
From the evaluation of existing solutions to an all-inclusive package for biobanks.
Health Technol (Berl). 2017; 7(1):89-95
Doi: 10.1007/s12553-016-0175-x
[OPEN ACCESS]
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** Reihs, R; Müller, H; Sauer, S; Zatloukal, K
Automatic classification of histopathological diagnoses for building a large scale tissue catalogue.
Health Technol (Berl). 2017; 7(1):81-88
Doi: 10.1007/s12553-016-0169-8
[OPEN ACCESS]
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2016
Originalarbeit (Zeitschrift)
** Holub, P; Swertz, M; Reihs, R; van Enckevort, D; Müller, H; Litton, JE
BBMRI-ERIC Directory: 515 Biobanks with Over 60 Million Biological Samples.
Biopreserv Biobank. 2016; 14(6):559-562
Doi: 10.1089/bio.2016.0088
[OPEN ACCESS]
Web of Science
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2014
Originalarbeit (Zeitschrift)
** Müller, H; Reihs, R; Zatloukal, K; Holzinger, A
Analysis of biomedical data with multilevel glyphs.
BMC Bioinformatics. 2014; 15 Suppl 6(6):S5-S5
Doi: 10.1186/1471-2105-15-S6-S5
[OPEN ACCESS]
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2013
Abstract (Zeitschrift)
** Bettermann, K; Mehta, AK; Lederer, E; Ernst, C; Kessler, SM; Chen, X; Hoshida, Y; Bardeesy, N; Fuchs, BC; Tanabe, KK; Müller, H; Svendova, V; Schimek, MG; Mach, M; Speicher, MR; Mahajan, V; Stumptner, C; Thueringer, A; Stojakovic, T; Longerich, T; Schirmacher, P; Magin, TM; Strnad, P; Fuchs, CD; Trauner, M; Spilka, R; Kiemer, AK; Teufel, A; Maass, T; Moriggl, R; Campbell, JS; Thorgeirsson, SS; Stauffer, J; Karin, M; Llovet, JM; Zatloukal, K; Lackner, C; Haybäck, J
Steatohepatitis-associated Hepatocellular Carcinoma: Evidence of a Keratinopathy.
HEPATOLOGY. 2013; 58(S1):543A-543A.-64th Annual Meeting of the American Association for the Study of Liver Diseases (AASLD); NOV 1-5, 2013; Washington, DC, USA.
[Poster]
Web of Science
2012
Originalarbeit (Zeitschrift)
** Haybaeck, J; Stumptner, C; Thueringer, A; Kolbe, T; Magin, TM; Hesse, M; Fickert, P; Tsybrovskyy, O; Müller, H; Trauner, M; Zatloukal, K; Denk, H
Genetic background effects of keratin 8 and 18 in a DDC-induced hepatotoxicity and Mallory-Denk body formation mouse model.
Lab Invest. 2012; 92(6):857-867
Doi: 10.1038/labinvest.2012.49
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** Spilka, R; Laimer, K; Bachmann, F; Spizzo, G; Vogetseder, A; Wieser, M; Müller, H; Haybaeck, J; Obrist, P
Overexpression of eIF3a in Squamous Cell Carcinoma of the Oral Cavity and Its Putative Relation to Chemotherapy Response.
J Oncol. 2012; 2012(6):901956-901956
Doi: 10.1155/2012/901956
[OPEN ACCESS]
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Abstract (Zeitschrift)
** Bettermann, K; Mehta, AK; Lederer, E; Diwoky, C; Thuringer, A; Muller, H; Mahajan, VS; Stumptner, C; Kolbe, T; Magin, TM; Denk, H; Lackner, C; Zatloukal, K; Haybaeck, J;
Steatohepatitis-driven hepatocellular carcinoma.
INT J MOL MED. INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE30: S6-S6. ATHENS: SPANDIDOS PUBL LTD;
[Oral Communication]
Web of Science
** Reihs, R; Muller, H; Sauer, S; Zatloukal, K;
Challenges and solutions in the setup of a findings database for a large scale tissue collection.
VIRCHOWS ARCHIV. VIRCHOWS ARCHIV461: S26-S26. NEW YORK: SPRINGER;
[Oral Communication]
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2008
Originalarbeit (Konferenzband)
** Muller, H; Zatloukal, K; Streit, M; Schmalstieg, D
Interactive exploration of medical data sets
. 2008; 29-35.
[Poster]
Web of Science
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