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)

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)

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)

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)

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