** = Publications listed in SCI/SSCI/Pubmed
** Abdulnazar, A; Schulz, S; Kreuzthaler, M
Smoking Status Normalization with Cross-Encoders and SNOMED CT.
Stud Health Technol Inform. 2025; 327:818-822
Doi: 10.3233/SHTI250473
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** Kugic, A; Schulz, S; Kreuzthaler, M
Domain Shift in Part-of-Speech Tagging.
Stud Health Technol Inform. 2025; 327: 896-897.
Doi: 10.3233/SHTI250497
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** Abdulnazar, A; Kreuzthaler, M; Schulz, S; Prietl, B; Herbsthofer, L
Tumor Board Visualization: Integrating Clinical and Laboratory Insights.
Stud Health Technol Inform. 2024; 316: 1750-1751.
Doi: 10.3233/SHTI240767
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** Abdulnazar, A; Kugic, A; Schulz, S; Stadlbauer, V; Kreuzthaler, M
O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies.
BMC Med Inform Decis Mak. 2024; 24(1): 29
Doi: 10.1186/s12911-024-02425-2
[OPEN ACCESS]
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** Abdulnazar, A; Roller, R; Schulz, S; Kreuzthaler, M
Unsupervised SapBERT-based bi-encoders for medical concept annotation of clinical narratives with SNOMED CT
DIGIT HEALTH. 2024; 10: 20552076241288681
Doi: 10.1177/20552076241288681
[OPEN ACCESS]
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** Abdulnazar, A; Roller, R; Schulz, S; Kreuzthaler, M
Large Language Models for Clinical Text Cleansing Enhance Medical Concept Normalization
IEEE ACCESS. 2024; 12: 147981-147990.
Doi: 10.1109/ACCESS.2024.3472500
Web of Science
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** Aghaei, S; Celebi, R; Kreuzthaler, M; Schulz, S
From Clinical Information Systems to Personalized Health Knowledge Graphs.
Stud Health Technol Inform. 2024; 316: 1463-1464.
Doi: 10.3233/SHTI240689
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** Birner, A; Mairinger, M; Elst, C; Maget, A; Fellendorf, FT; Platzer, M; Queissner, R; Lenger, M; Tmava-Berisha, A; Bengesser, SA; Reininghaus, EZ; Kreuzthaler, M; Dalkner, N
Machine-based learning of multidimensional data in bipolar disorder - pilot results.
Bipolar Disord. 2024; 26(4):364-375
Doi: 10.1111/bdi.13426
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** Denecke, K; May, R; Rivera, Romero, O, , LLMHealthGroup
Potential of Large Language Models in Health Care: Delphi Study.
J Med Internet Res. 2024; 26: e52399
Doi: 10.2196/52399
[OPEN ACCESS]
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** Kugic, A; Schulz, S; Kreuzthaler, M
Term Candidate Generation to Enrich Clinical Terminologies with Large Language Models.
Stud Health Technol Inform. 2024; 316: 695-699.
Doi: 10.3233/SHTI240509
PubMed
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** Kugic, A; Schulz, S; Kreuzthaler, M
Disambiguation of acronyms in clinical narratives with large language models.
J Am Med Inform Assoc. 2024; 31(9):2040-2046
Doi: 10.1093/jamia/ocae157
[OPEN ACCESS]
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** Pfeifer, B; Sirocchi, C; Bloice, MD; Kreuzthaler, M; Urschler, M
Federated unsupervised random forest for privacy-preserving patient stratification.
Bioinformatics. 2024; 40(Supplement_2): ii198-ii207.
Doi: 10.1093/bioinformatics/btae382
[OPEN ACCESS]
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** Veeranki, SPK; Abdulnazar, A; Kramer, D; Kreuzthaler, M; Lumenta, DB
Multi-label text classification via secondary use of large clinical real-world data sets.
Sci Rep. 2024; 14(1): 26972
Doi: 10.1038/s41598-024-76424-8
[OPEN ACCESS]
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** Kugic, A; Martin, I; Modersohn, L; Pallaoro, P; Kreuzthaler, M; Schulz, S; Boeker, M
Processing of Short-Form Content in Clinical Narratives: Systematic Scoping Review.
J Med Internet Res. 2024; 26:e57852
Doi: 10.2196/57852
[OPEN ACCESS]
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** Kreuzthaler, M; Pfeifer, B; Schulz, S
Secondary Use of Clinical Problem List Descriptions for Bi-Encoder Based ICD-10 Classification.
AMIA Annu Symp Proc. 2024; 2024:620-627
[OPEN ACCESS]
PubMed
** Abdulnazar, A; Kreuzthaler, M; Roller, R; Schulz, S
SapBERT-Based Medical Concept Normalization Using SNOMED CT.
Stud Health Technol Inform. 2023; 302: 825-826.
Doi: 10.3233/SHTI230278
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** Kreuzthaler, M; Brochhausen, M; Zayas, C; Blobel, B; Schulz, S
Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems.
Front Med (Lausanne). 2023; 10: 1073313
Doi: 10.3389/fmed.2023.1073313
[OPEN ACCESS]
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** Kreuzthaler, M; Pfeifer, B; Kramer, D; Schulz, S
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment.
Stud Health Technol Inform. 2023; 302: 788-792.
Doi: 10.3233/SHTI230267
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** Kugic, A; Kreuzthaler, M; Schulz, S
Clinical Acronym Disambiguation via ChatGPT and BING.
Stud Health Technol Inform. 2023; 309:78-82
Doi: 10.3233/SHTI230743
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** Kugic, A; Pfeifer, B; Schulz, S; Kreuzthaler, M
Data-Driven Identification of Clinical Real-World Expressions Linked to ICD.
Stud Health Technol Inform. 2023; 302: 827-828.
Doi: 10.3233/SHTI230279
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** Kugic, A; Pfeifer, B; Schulz, S; Kreuzthaler, M
Embedding-based terminology expansion via secondary use of large clinical real-world datasets.
J Biomed Inform. 2023; 147:104497
Doi: 10.1016/j.jbi.2023.104497
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** Schulz, S; Abdulnazar, A; Kreuzthaler, M
Clustering Similar Diagnosis Terms.
Stud Health Technol Inform. 2023; 302: 837-838.
Doi: 10.3233/SHTI230284
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** Khaled, M; Sareban, M; Kreuzthaler, M; Schulz, S; Hussein, R
Overview of Existing Tools for Extracting Health and Fitness Data from mHealth Apps.
Stud Health Technol Inform. 2022; 295: 49-50.
Doi: 10.3233/SHTI220657
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** Kreuzthaler, M; Oleynik, M; Schulz, S
Character-Level Neural Language Modelling in the Clinical Domain.
Stud Health Technol Inform. 2020; 270:83-87
Doi: 10.3233/SHTI200127
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** Kreuzthaler, M; Pfeifer, B; Vera Ramos, JA; Kramer, D; Grogger, V; Bredenfeldt, S; Pedevilla, M; Krisper, P; Schulz, S
EHR problem list clustering for improved topic-space navigation.
BMC Med Inform Decis Mak. 2019; 19(Suppl 3):72-72
Doi: 10.1186/s12911-019-0789-9
[OPEN ACCESS]
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** Oleynik, M; Kugic, A; Kasáč, Z; Kreuzthaler, M
Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.
J Am Med Inform Assoc. 2019; 26(11):1247-1254
Doi: 10.1093/jamia/ocz149
[OPEN ACCESS]
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** Pomares-Quimbaya, A; Kreuzthaler, M; Schulz, S
Current approaches to identify sections within clinical narratives from electronic health records: a systematic review.
BMC Med Res Methodol. 2019; 19(1):155-155
Doi: 10.1186/s12874-019-0792-y
[OPEN ACCESS]
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** Vera Ramos, JA; Kreuzthaler, M; Schulz, S
Supervised ICD Code Assignment to Short Clinical Problem List Entries.
Stud Health Technol Inform. 2019; 258(Suppl 3):184-188
PubMed
** Kreuzthaler, M; Pfeifer, B; Vera Ramos, JA; Kramer, D; Grogger, V; Bredenfeldt, S; Pedevilla, M; Krisper, P; Schulz, S
EHR Text Categorization for Enhanced Patient-Based Document Navigation.
Stud Health Technol Inform. 2018; 248: 100-107.
PubMed
** Kreuzthaler, M; Martínez-Costa, C; Kaiser, P; Schulz, S
Semantic Technologies for Re-Use of Clinical Routine Data.
Stud Health Technol Inform. 2017; 236(18):24-31
PubMed
** Oleynik, M; Kreuzthaler, M; Schulz, S
Unsupervised Abbreviation Expansion in Clinical Narratives.
Stud Health Technol Inform. 2017; 245(11):539-543
PubMed
** Kreuzthaler, M; Miñarro-Giménez, JA; Schulz, S
MapReduce in the Cloud: A Use Case Study for Efficient Co-Occurrence Processing of MEDLINE Annotations with MeSH.
Stud Health Technol Inform. 2016; 228(12):582-586
PubMed
** López-García, P; Kreuzthaler, M; Schulz, S; Scherr, D; Daumke, P; Markó, K; Kors, JA; van Mulligen, EM; Wang, X; Gonna, H; Behr, E; Honrado, Á
SEMCARE: Multilingual Semantic Search in Semi-Structured Clinical Data.
Stud Health Technol Inform. 2016; 223(3):93-99
[OPEN ACCESS]
PubMed
** Kreuzthaler, M; Daumke, P; Schulz, S
Semantic retrieval and navigation in clinical document collections.
Stud Health Technol Inform. 2015; 212(3):9-14
PubMed
** Kreuzthaler, M; Schulz, S
Detection of sentence boundaries and abbreviations in clinical narratives.
BMC Med Inform Decis Mak. 2015; 15 Suppl 2(1):S4-S4
Doi: 10.1186/1472-6947-15-S2-S4
[OPEN ACCESS]
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** Kreuzthaler, M; Schulz, S; Berghold, A
Secondary use of electronic health records for building cohort studies through top-down information extraction.
J Biomed Inform. 2015; 53: 188-195.
Doi: 10.1016/j.jbi.2014.10.010
[OPEN ACCESS]
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** Miñarro-Giménez, JA; Kreuzthaler, M; Bernhardt-Melischnig, J; Martínez-Costa, C; Schulz, S
Acquiring Plausible Predications from MEDLINE by Clustering MeSH Annotations.
Stud Health Technol Inform. 2015; 216(12):716-720
PubMed
** Miñarro-Giménez, JA; Kreuzthaler, M; Schulz, S
Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing.
AMIA Annu Symp Proc. 2015; 2015(12): 915-924.
[OPEN ACCESS]
PubMed
** Schulz, S; Bernhardt-Melischnig, J; Kreuzthaler, M; Daumke, P; Boeker, M
Machine vs. human translation of SNOMED CT terms.
Stud Health Technol Inform. 2013; 192:581-584
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** Andrade, AQ; Kreuzthaler, M; Hastings, J; Krestyaninova, M; Schulz, S
Requirements for semantic biobanks.
Stud Health Technol Inform. 2012; 180(12):569-573
PubMed
** Kreuzthaler, M; Schulz, S
Metonymies in medical terminologies. A SNOMED CT case study.
AMIA Annu Symp Proc. 2012; 2012(6):463-467
[OPEN ACCESS]
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** Kreuzthaler, M; Bloice, MD; Faulstich, L; Simonic, KM; Holzinger, A
A Comparison of Different Retrieval Strategies Working on Medical Free Texts
J UNIVERS COMPUT SCI. 2011; 17(7): 1109-1133.
[OPEN ACCESS]
Web of Science
** Kreuzthaler, M; Schulz, S
Truecasing clinical narratives.
Stud Health Technol Inform. 2011; 169: 589-593.
PubMed