Autonomous Multicamera Tracking on Embedded Smart Cameras. - Markus Quaritsch; Markus Kreuzthaler; Bernhard Rinner; Horst Bischof; Bernhard Strobl (EURASIP J. Embed. Syst., 2007)

On the Paradigm Shift of Search on Mobile Devices: Some Remarks on User Habits. - Marcus D. Bloice; Markus Kreuzthaler; Klaus-Martin Simonic; Andreas Holzinger (USAB, 2010)

Truecasing Clinical Narratives. - Markus Kreuzthaler; Stefan Schulz 001 (MIE, 2011)

Development of an Interactive Application for Learning Medical Procedures and Clinical Decision Making. - Marcus D. Bloice; Klaus-Martin Simonic; Markus Kreuzthaler; Andreas Holzinger (USAB, 2011)

Navigating through Very Large Sets of Medical Records: An Information Retrieval Evaluation Architecture for Non-standardized Text. - Markus Kreuzthaler; Marcus D. Bloice; Klaus-Martin Simonic; Andreas Holzinger (USAB, 2011)

A Comparison of Different Retrieval Strategies Working on Medical Free Texts. - Markus Kreuzthaler; Marcus D. Bloice; Lukas Faulstich; Klaus-Martin Simonic; Andreas Holzinger (J. Univers. Comput. Sci., 2011)

Metonymies in Medical Terminologies. A SNOMED CT Case Study. - Markus Kreuzthaler; Stefan Schulz 001 (AMIA, 2012)

Machine vs. Human Translation of SNOMED CT Terms. - Stefan Schulz 001; Johannes Bernhardt-Melischnig; Markus Kreuzthaler; Philipp Daumke; Martin Boeker (MedInfo, 2013)

Disambiguation of Period Characters in Clinical Narratives. - Markus Kreuzthaler; Stefan Schulz 001 (Louhi@EACL, 2014)

SEMCARE - Semantic Data Platform for Healthcare. - Philipp Daumke; Claudia Riede; Thomas Fassbender; Angel Honrado; Markus Kreuzthaler; Pablo López-García; Stefan Schulz 001; Erik M. van Mulligen; Herman van Haagen; Jan A. Kors; Hanney Gonna; Xinkai Wang 002; et al. (AMIA, 2015)

Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing. - José Antonio Miñarro-Giménez; Markus Kreuzthaler; Stefan Schulz 001 (AMIA, 2015)

Semantic Retrieval and Navigation in Clinical Document Collections. - Markus Kreuzthaler; Philipp Daumke; Stefan Schulz 001 (eHealth, 2015)

Acquiring Plausible Predications from MEDLINE by Clustering MeSH Annotations. - José Antonio Miñarro-Giménez; Markus Kreuzthaler; Johannes Bernhardt-Melischnig; Catalina Martínez-Costa; Stefan Schulz 001 (MedInfo, 2015)

Secondary use of electronic health records for building cohort studies through top-down information extraction. - Markus Kreuzthaler; Stefan Schulz 001; Andrea Berghold (J. Biomed. Informatics, 2015)

Detection of sentence boundaries and abbreviations in clinical narratives. - Markus Kreuzthaler; Stefan Schulz 001 (BMC Medical Informatics Decis. Mak., 2015)

Unsupervised Abbreviation Detection in Clinical Narratives. - Markus Kreuzthaler; Michel Oleynik; Alexander Avian; Stefan Schulz 001 (ClinicalNLP@COLING 2016, 2016)

SEMCARE: Multilingual Semantic Search in Semi-Structured Clinical Data. - Pablo López-García; Markus Kreuzthaler; Stefan Schulz 001; Daniel Scherr; Philipp Daumke; Kornél G. Markó; Jan A. Kors; Erik M. van Mulligen; Xinkai Wang 002; Hanney Gonna; Elijah Behr; Angel Honrado (eHealth, 2016)

MapReduce in the Cloud: A Use Case Study for Efficient Co-Occurrence Processing of MEDLINE Annotations with MeSH. - Markus Kreuzthaler; José Antonio Miñarro-Giménez; Stefan Schulz 001 (MIE, 2016)

Semantic Technologies for Re-Use of Clinical Routine Data. - Markus Kreuzthaler; Catalina Martínez-Costa; Peter Kaiser; Stefan Schulz 001 (eHealth, 2017)

Basics of a Drug Ontology for Annotations of Clinical Narratives. - Zdenko Kasác; Catalina Martínez-Costa; Markus Kreuzthaler; Stefan Schulz 001 (JOWO, 2017)

Unsupervised Abbreviation Expansion in Clinical Narratives. - Michel Oleynik; Markus Kreuzthaler; Stefan Schulz 001 (MedInfo, 2017)

EHR Text Categorization for Enhanced Patient-Based Document Navigation. - Markus Kreuzthaler; Bastian Pfeifer; José Antonio Vera Ramos; Diether Kramer; Victor Grogger; Sylvia Bredenfeldt; Markus Pedevilla; Peter Krisper; Stefan Schulz 001 (eHealth, 2018)

Problem List Clustering for Improved Patient-Based Disease Perception. - Markus Kreuzthaler; Bastian Pfeifer; José Antonio Vera Ramos; Diether Kramer; Victor Grogger; Sylvia Bredenfeldt; Markus Pedevilla; Peter Krisper; Stefan Schulz 001 (ICHI Workshops, 2018)

Supervised ICD Code Assignment to Short Clinical Problem List Entries. - José Antonio Vera Ramos; Markus Kreuzthaler; Stefan Schulz 001 (EFMI-STC, 2019)

Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification. - Michel Oleynik; Amila Kugic; Zdenko Kasác; Markus Kreuzthaler (J. Am. Medical Informatics Assoc., 2019)

EHR problem list clustering for improved topic-space navigation. - Markus Kreuzthaler; Bastian Pfeifer; José Antonio Vera Ramos; Diether Kramer; Victor Grogger; Sylvia Bredenfeldt; Markus Pedevilla; Peter Krisper; Stefan Schulz 001 (BMC Medical Informatics Decis. Mak., 2019)

Localising the Clinical Terminology SNOMED CT by Semi-automated Creation of a German Interface Vocabulary. - Stefan Schulz 001; Larissa Hammer; David Hashemian Nik; Markus Kreuzthaler (MultiligualBIO@LREC, 2020)

Character-Level Neural Language Modelling in the Clinical Domain. - Markus Kreuzthaler; Michel Oleynik; Stefan Schulz 001 (MIE, 2020)

Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment. - Markus Kreuzthaler; Stefan Schulz 001 (CoRR, 2021)

Terminology Expansion via Co-occurrence Analysis of Large Clinical Real-World Datasets. - Markus Kreuzthaler; Bastian Pfeifer; Stefan Schulz 001 (ICHI, 2022)

Alcohol Status Standardization from Clinical Real World Data with Transformer Architectures. - Amila Kugic; Leon Magnus Pojian; Larissa Marije Hammer; Stefan Schulz 001; Markus Kreuzthaler (ICHI, 2022)

Overview of Existing Tools for Extracting Health and Fitness Data from mHealth Apps. - Mohamed Khaled; Mahdi Sareban; Markus Kreuzthaler; Stefan Schulz 001; Rada Hussein (ICIMTH, 2022)

Identification of Non-Lexical Content in Croatian Health Forum Entries. - Amila Kugic; Stefan Schulz 001; Markus Kreuzthaler (BIBM, 2023)

Clinical Acronym Disambiguation via ChatGPT and BING. - Amila Kugic; Markus Kreuzthaler; Stefan Schulz 001 (EFMI-STC, 2023)

Towards Principles of Ontology-Based Annotation of Clinical Narratives. - Stefan Schulz 001; Warren Del-Pinto; Lifeng Han; Markus Kreuzthaler; Sareh Aghaei Dinani; Goran Nenadic (ICBO, 2023)

Clustering Similar Diagnosis Terms. - Stefan Schulz 001; Akhila Abdulnazar; Markus Kreuzthaler (MIE, 2023)

SapBERT-Based Medical Concept Normalization Using SNOMED CT. - Akhila Abdulnazar; Markus Kreuzthaler; Roland Roller; Stefan Schulz 001 (MIE, 2023)

Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment. - Markus Kreuzthaler; Bastian Pfeifer; Diether Kramer; Stefan Schulz 001 (MIE, 2023)

Data-Driven Identification of Clinical Real-World Expressions Linked to ICD. - Amila Kugic; Bastian Pfeifer; Stefan Schulz 001; Markus Kreuzthaler (MIE, 2023)

Embedding-based terminology expansion via secondary use of large clinical real-world datasets. - Amila Kugic; Bastian Pfeifer; Stefan Schulz 001; Markus Kreuzthaler (J. Biomed. Informatics, 2023)

Smoking Status Classification: A Comparative Analysis of Machine Learning Techniques with Clinical Real World Data. - Amila Kugic; Akhila Abdulnazar; Anto Knezovic; Stefan Schulz 001; Markus Kreuzthaler (AIME (1), 2024)

Sequence-Model-Based Medication Extraction from Clinical Narratives in German. - Vishakha Sharma 004; Andreas Thalhammer 001; Amila Kugic; Stefan Schulz 001; Markus Kreuzthaler (AIME (1), 2024)

Tumor Board Visualization: Integrating Clinical and Laboratory Insights. - Akhila Abdulnazar; Markus Kreuzthaler; Stefan Schulz 001; Barbara Prietl; Laurin Herbsthofer (MIE, 2024)

From Clinical Information Systems to Personalized Health Knowledge Graphs. - Sareh Aghaei Dinani; Remzi Celebi; Markus Kreuzthaler; Stefan Schulz 001 (MIE, 2024)

Term Candidate Generation to Enrich Clinical Terminologies with Large Language Models. - Amila Kugic; Stefan Schulz 001; Markus Kreuzthaler (MIE, 2024)

Large Language Models for Clinical Text Cleansing Enhance Medical Concept Normalization. - Akhila Abdulnazar; Roland Roller; Stefan Schulz 001; Markus Kreuzthaler (IEEE Access, 2024)

Federated unsupervised random forest for privacy-preserving patient stratification. - Bastian Pfeifer; Christel Sirocchi; Marcus D. Bloice; Markus Kreuzthaler; Martin Urschler (Bioinform., 2024)

Zero- and Few-shot Named Entity Recognition and Text Expansion in Medication Prescriptions using ChatGPT. - Natthanaphop Isaradech; Andrea Riedel; Wachiranun Sirikul; Markus Kreuzthaler; Stefan Schulz 001 (CoRR, 2024)

Disambiguation of acronyms in clinical narratives with large language models. - Amila Kugic; Stefan Schulz 001; Markus Kreuzthaler (J. Am. Medical Informatics Assoc., 2024)

O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies. - Akhila Abdulnazar; Amila Kugic; Stefan Schulz 001; Vanessa Stadlbauer; Markus Kreuzthaler (BMC Medical Informatics Decis. Mak., 2024)

Embedding-Based Acronym Disambiguation Supported by Large Language Models in German Clinical Narratives. - Amila Kugic; Stefan Schulz 001; Markus Kreuzthaler (SLM4Health@AIME, 2025)

Zero- and few-shot Named Entity Recognition and Text Expansion in medication prescriptions using large language models. - Natthanaphop Isaradech; Andrea Riedel; Wachiranun Sirikul; Markus Kreuzthaler; Stefan Schulz 001 (Artif. Intell. Medicine, 2025)