| Medical information extraction in the age of deep learning U Hahn, M Oleynik Yearbook of medical informatics 29 (01), 208-220, 2020 | 78 | 2020 |
| Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification M Oleynik, A Kugic, Z Kasáč, M Kreuzthaler Journal of the American Medical Informatics Association 26 (11), 1247-1254, 2019 | 56 | 2019 |
| Unsupervised Abbreviation Detection in Clinical Narratives M Kreuzthaler, M Oleynik, A Avian, S Schulz ClinicalNLP 2016, 91-98, 2016 | 32 | 2016 |
| HPI-DHC at TREC 2018 Precision Medicine Track M Oleynik, E Faessler, A Sasso, A Kappattanavar, B Bergner, ... The Twenty-Seventh Text REtrieval Conference (TREC 2018), 2018 | 19 | 2018 |
| TREC 2017 Precision Medicine - Medical University of Graz P López-García, M Oleynik, Z Kasáč, S Schulz The Twenty-Sixth Text REtrieval Conference (TREC 2017), 2017 | 16 | 2017 |
| Performance analysis of a POS tagger applied to discharge summaries in Portuguese M Oleynik, P Nohama, PS Cancian, S Schulz Studies in Health Technology and Informatics 160 (Pt 2), 959-963, 2010 | 16 | 2010 |
| JULIE Lab & Med Uni Graz @ TREC 2019 Precision Medicine Track E Faessler, M Oleynik, U Hahn The Twenty-Eighth Text REtrieval Conference (TREC 2019), 2019 | 14 | 2019 |
| Unsupervised abbreviation expansion in clinical narratives M Oleynik, M Kreuzthaler, S Schulz MEDINFO 2017: Precision Healthcare through Informatics, 539-543, 2017 | 12 | 2017 |
| Automated classification of semi-structured pathology reports into ICD-O using SVM in Portuguese M Oleynik, DFC Patrão, M Finger Studies in health technology and informatics 235, 256-260, 2017 | 11 | 2017 |
| An Ontology for TNM Clinical Stage Inference F Massicano, A Sasso, H Amaral-Silva, M Oleynik, C Nobrega, ... | 10 | 2015 |
| Elaboração de um Corpus Médico baseado em Narrativas Clínicas contidas em Sumários de Alta Hospitalar AC Peters, M Oleynik, EJ Pacheco, CMC Moro, S Schulz, P Nohama XII Congresso Brasileiro de Informática em Saúde, 2010 | 9 | 2010 |
| What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way E Faessler, M Oleynik, U Hahn SIGIR 2020, 2020 | 8 | 2020 |
| Recruit - An Ontology Based Information Retrieval System for Clinical Trials Recruitment DF Patrão, M Oleynik, F Massicano, AM Sasso Studies in Health Technology and Informatics 216, 534, 2015 | 8 | 2015 |
| Leveraging pubmed to create a specialty-based sense inventory for spanish acronym resolution A Pomares-Quimbaya, P López-Úbeda, M Oleynik, S Schulz Digital Personalized Health and Medicine, 292-296, 2020 | 5 | 2020 |
| Extração de informações de narrativas clínicas M Oleynik Universidade de São Paulo, 2013 | 4 | 2013 |
| Automated Classification of Pathology Reports M Oleynik, M Finger, DF Patrão Studies in Health Technology and Informatics 216, 1040-1040, 2015 | 2 | 2015 |
| Character-Level Neural Language Modelling in the Clinical Domain M Kreuzthaler, M Oleynik, S Schulz Studies in health technology and informatics 270, 83-87, 2020 | | 2020 |
| Information Retrieval from Clinical Reports M Oleynik, M Finger, DFC Patrão Neural Information Processing Systems (NIPS), 2013 | | 2013 |
| Seleção de Links de Pré-Busca baseada em Cadeias de Markov e Classificação Semântica FG Peixoto, M Oleynik Pontifícia Universidade Católica do Paraná, 2009 | | 2009 |
Stefan SchulzMedical University of GrazVerified email at medunigraz.at
