Publications

Najia Ahmadi, Quang Vu Nguyen, Martin Sedlmayr, and Markus Wolfien. A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data. Scientific reports, (14)1Nature Publishing Group, Jan 27, 2024. [PUMA: Databases, Electronic FIS_scads Factual, Health Humans, Informatics, Learning, Machine Medical Records topic_lifescience]

Katja Hoffmann, Yuan Peng, Tobias Schlosser, Gabriel Stolze, Holger Langner, Marcel Susky, Trixy Meyer, Marc Ritter, Danny Kowerko, Vinodh Kakkassery, Markus Wolfien, and Martin Sedlmayr. Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care. Studies in health technology and informatics, (317):139--145, IOS Press, Amsterdam u. a., Aug 30, 2024. [PUMA: topic_lifescience Diseases/therapy, Electronic Eye FIS_scads Germany, Health Humans, Information Interoperability/standards, Learning, Level Machine Ophthalmology Records/standards, Seven/standards,]

Markus Wolfien, Najia Ahmadi, Kai Fitzer, Sophia Grummt, Kilian-Ludwig Heine, Ian-C Jung, Dagmar Krefting, Andreas Kühn, Yuan Peng, Ines Reinecke, Julia Scheel, Tobias Schmidt, Paul Schmücker, Christina Schüttler, Dagmar Waltemath, Michele Zoch, and Martin Sedlmayr. Ten Topics to Get Started in Medical Informatics Research. Journal of Medical Internet Research, (25)JMIR Publications Inc., Jul 24, 2023. [PUMA: topic_lifescience Algorithms, Clinical Curriculum, Digital FIS_scads Germany, Health Humans, Informatics, Interdisciplinary Medical Research clinical communication, data, digital health health, informatics informatics, interdisciplinary medical research]

Najia Ahmadi, Michele Zoch, Oya Guengoeze, Carlo Facchinello, Antonia Mondorf, Katharina Stratmann, Khader Musleh, Hans-Peter Erasmus, Jana Tchertov, Richard Gebler, Jannik Schaaf, Lena S Frischen, Azadeh Nasirian, Jiabin Dai, Elisa Henke, Douglas Tremblay, Andrew Srisuwananukorn, Martin Bornhäuser, Christoph Röllig, Jan-Niklas Eckardt, Jan Moritz Middeke, Markus Wolfien, and Martin Sedlmayr. How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned. Orphanet journal of rare diseases, (19)1BioMed Central, London, Aug 14, 2024. [PUMA: topic_lifescience Diseases FIS_scads Humans, Rare]

Waldemar Hahn, Najia Ahmadi, Katja Hoffmann, Jan-Niklas Eckardt, Martin Sedlmayr, and Markus Wolfien. Synthetic Data Generation in Hematology - Paving the Way for OMOP and FHIR Integration. Studies in health technology and informatics, (316):1472--1476, IOS Press, Amsterdam u. a., Aug 22, 2024. [PUMA: topic_lifescience Acute, Assessment, Care Electronic FIS_scads Health Hematology, Humans, Information Interoperability, Leukemia, Myeloid, Outcome Records,]

Ali Al-Fatlawi, Eka Rusadze, Alexander Shmelkin, Negin Malekian, Cigdem Ozen, Christian Pilarsky, and Michael Schroeder. Netrank: network-based approach for biomarker discovery. BMC bioinformatics, (24)1BioMed Central, London, Jul 29, 2023. [PUMA: topic_lifescience Algorithms, Area Biomedical Curve, Disease FIS_scads Gene Humans, Library Progression, Research, Under]

Neringa Jurenaite, Daniel León-Periñán, Veronika Donath, Sunna Torge, and René Jäkel. SetQuence & SetOmic: Deep set transformers for whole genome and exome tumour analysis. BioSystems, (235)Elsevier, January 2024. [PUMA: topic_federatedlearn livinglab Artificial Biomedical Exome/genetics, FIS_scads Humans, Intelligence, Medical Neoplasms/genetics Oncology, Research,]

Andreas Müller, Deborah Schmidt, Jan Philipp Albrecht, Lucas Rieckert, Maximilian Otto, Leticia Elizabeth Galicia Garcia, Gunar Fabig, Michele Solimena, and Martin Weigert. Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets. Nature protocols, (19)5:1436--1466, Nature Publishing Group, May 2024. [PUMA: Analysis, Computer-Assisted/methods, Electron Electron/methods, FIS_scads Humans, Image Imaging, Microscopy Microscopy, Organelles/ultrastructure, Processing, Software, Spatial Three-Dimensional/methods, Volume]