A new ontology and knowledge base system for performance measurement in health care ; Sağlık bakımında performans ölçümü için yeni bir ontoloji ve bilgi tabanı sistemi. - Oya Deniz Beyan (2010)

A Knowledge Based Search Tool for Performance Measures in Health Care Systems. - Oya Deniz Beyan; Nazife Baykal (J. Medical Syst., 2012)

Querying phenotype-genotype associations across multiple knowledge bases using Semantic Web technologies. - Oya Deniz Beyan; Aftab Iqbal; Yasar Khan; Athos Antoniades; John A. Keane; Panagiotis Hasapis; Christos Georgousopoulos; Myrto Ioannidi; Stefan Decker; Ratnesh Sahay (BIBE, 2013)

Advancing Patient Record Safety and EHR Semantic Interoperability. - Konstantinos Perakis; Thanassis Bouras; Dimitrios Ntalaperas; Panagiotis Hasapis; Christos Georgousopoulos; Ratnesh Sahay; Oya Deniz Beyan; Cristi Potlog; Daniela Usurelu (SMC, 2013)

An Ontology for Clinical Trial Data Integration. - Ratnesh Sahay; Dimitrios Ntalaperas; Eleni Kamateri; Panagiotis Hasapis; Oya Deniz Beyan; Marie-Pierre F. Strippoli; Christiana Demetriou; Thomai Gklarou-Stavropoulou; Mathias Brochhausen; Konstantinos A. Tarabanis; Thanassis Bouras; David Tian; et al. (SMC, 2013)

LinkedPPI: Enabling Intuitive, Integrative Protein-Protein Interaction Discovery. - Laleh Kazemzadeh; Maulik R. Kamdar; Oya Deniz Beyan; Stefan Decker; Frank Barry (LISC@ISWC, 2014)

On a Linked Data Platform for Irish Historical Vital Records. - Christophe Debruyne; Oya Deniz Beyan; Rebecca Grant; Sandra Collins; Stefan Decker (TPDL, 2015)

Historical Data Preservation and Interpretation Pipeline for Irish Civil Registration Records. - Oya Beyan; P. J. Mealy; Dolores Grant; Rebecca Grant; Natalie Harrower; Ciara Breathnach; Sandra Collins; Stefan Decker (OTM Workshops, 2015)

Implementing an ethical approach to big data analytics in assistive robotics for elderly with dementia. - Heike Felzmann; Timur Beyan; Mark Ryan 005; Oya Beyan (SIGCAS Comput. Soc., 2015)

A Framework for Applying Data Integration and Curation Pipelines to Support Integration of Migrants and Refugees in Europe. - Oya Deniz Beyan; Siegfried Handschuh; Adamantios Koumpis; Garyfallos Fragidis; Stefan Decker (PRO-VE, 2016)

An RDF Based Semantic Approach to Model Temporal Relations in Health Records. - Oya Beyan; Stefan Decker (SWAT4LS, 2016)

A semantic architecture for preserving and interpreting the information contained in Irish historical vital records. - Christophe Debruyne; Oya Deniz Beyan; Rebecca Grant; Sandra Collins; Stefan Decker; Natalie Harrower (Int. J. Digit. Libr., 2016)

Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues. - Md. Rezaul Karim 001; Matthias Heinrichs; Lars Christoph Gleim; Michael Cochez; Emily Porter; Alessandra La Gioia; Saqib Salahuddin; Stefan Decker; Martin O'Halloran; Oya Beyan (SWAT4LS, 2017)

Research Data in the Fraunhofer Digital Project: Creating a FAIR Research Data Infrastructure and Culture. - Oya Beyan; Andrea Wuchner; Dirk Eisengräber-Pabst; Christoph Quix; Christian Zaschke; Oliver Schumacher (RO, 2018)

A distributed analytics platform to execute FHIR based phenotyping algorithms. - Md. Rezaul Karim 001; Binh-Phi Nguyen; Lukas Zimmermann; Toralf Kirsten; Matthias Löbe; Frank A. Meineke; Holger Stenzhorn; Oliver Kohlbacher; Stefan Decker; Oya Beyan (SWAT4LS, 2018)

Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction. - Md. Rezaul Karim 001; Michael Cochez; Oya Beyan; Achille Zappa; Ratnesh Sahay; Stefan Decker; Dietrich Rebholz-Schuhmann (CoRR, 2018)

Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach. - Md. Rezaul Karim 001; Michael Cochez; Oya Deniz Beyan; Chowdhury Farhan Ahmed; Stefan Decker (Inf. Sci., 2018)

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. - Md. Rezaul Karim 001; Michael Cochez; Joao Bosco Jares; Mamtaz Uddin; Oya Beyan; Stefan Decker (BCB, 2019)

OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. - Md. Rezaul Karim 001; Michael Cochez; Oya Beyan; Stefan Decker; Christoph Lange 002 (BIBE, 2019)

Design of Metadata Services for Clinical Data Interoperability in Germany. - Matthias Löbe; Oya Beyan; Sebastian Stäubert; Frank A. Meineke; Danny Ammon; Alfred Winter; Stefan Decker; Markus Löffler; Toralf Kirsten (MedInfo, 2019)

Implementation of Clinical Decision Support Services to Detect Potential Drug-Drug Interaction Using Clinical Quality Language. - Binh-Phi Nguyen; Thomas J. Reese; Stefan Decker; Daniel C. Malone; Richard D. Boyce; Oya Beyan (MedInfo, 2019)

Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data. - Md. Rezaul Karim 001; Galih Wicaksono; Ivan G. Costa; Stefan Decker; Oya Beyan (IEEE Access, 2019)

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images. - Md. Rezaul Karim 001; Till Döhmen; Michael Cochez; Oya Beyan; Dietrich Rebholz-Schuhmann; Stefan Decker (BIBM, 2020)

Enabling ad-hoc reuse of private data repositories through schema extraction. - Lars Christoph Gleim; Md. Rezaul Karim 001; Lukas Zimmermann; Oliver Kohlbacher; Holger Stenzhorn; Stefan Decker; Oya Beyan (J. Biomed. Semant., 2020)

DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images. - Md. Rezaul Karim 001; Till Döhmen; Dietrich Rebholz-Schuhmann; Stefan Decker; Michael Cochez; Oya Beyan (CoRR, 2020)

Biases in Data Science Lifecycle. - Dinh-An Ho; Oya Beyan (CoRR, 2020)

Distributed Analytics on Sensitive Medical Data: The Personal Health Train. - Oya Beyan; Ananya Choudhury; Johan van Soest; Oliver Kohlbacher; Lukas Zimmermann; Holger Stenzhorn; Md. Rezaul Karim 001; Michel Dumontier; Stefan Decker; Luiz Olavo Bonino da Silva Santos; Andre Dekker (Data Intell., 2020)

Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data. - Peter McQuilton; Dominique Batista; Oya Beyan; Ramón Granell; Simon J. Coles; Massimiliano Izzo; Allyson L. Lister; Robert Pergl; Philippe Rocca-Serra; Ben Schaap; Hugh P. Shanahan; Milo Thurston; et al. (Data Intell., 2020)

A snapshot neural ensemble method for cancer-type prediction based on copy number variations. - Md. Rezaul Karim 001; Ashiqur Rahman; Joao Bosco Jares; Stefan Decker; Oya Beyan (Neural Comput. Appl., 2020)

FAIRness for FHIR: Towards Making Health Datasets FAIR Using HL7 FHIR. - Alicia Martinez-García; Giorgio Cangioli; Catherine E. Chronaki; Matthias Löbe; Oya Beyan; Anthony Juehne; Carlos Luis Parra Calderón (MedInfo, 2021)

Distributed Skin Lesion Analysis Across Decentralised Data Sources. - Yongli Mou; Sascha Welten; Mehrshad Jaberansary; Yeliz Ucer Yediel; Toralf Kirsten; Stefan Decker; Oya Beyan (MIE, 2021)

Optimized Federated Learning on Class-Biased Distributed Data Sources. - Yongli Mou; Jiahui Geng; Sascha Welten; Chunming Rong; Stefan Decker; Oya Beyan (PKDD/ECML Workshops (1), 2021)

DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging. - Md. Rezaul Karim 001; Jiao Jiao; Till Döhmen; Michael Cochez; Oya Beyan; Dietrich Rebholz-Schuhmann; Stefan Decker (IEEE Access, 2021)

Deep learning-based clustering approaches for bioinformatics. - Md. Rezaul Karim 001; Oya Beyan; Achille Zappa; Ivan G. Costa; Dietrich Rebholz-Schuhmann; Michael Cochez; Stefan Decker (Briefings Bioinform., 2021)

Distributed Learning for Melanoma Classification using Personal Health Train. - Yongli Mou; Sascha Welten; Yeliz Ucer Yediel; Toralf Kirsten; Oya Deniz Beyan (CoRR, 2021)

Towards General Deep Leakage in Federated Learning. - Jiahui Geng; Yongli Mou; Feifei Li; Qing Li 038; Oya Beyan; Stefan Decker; Chunming Rong (CoRR, 2021)

DAMS: A Distributed Analytics Metadata Schema. - Sascha Welten; Laurenz Neumann; Yeliz Ucer Yediel; Luiz Olavo Bonino da Silva Santos; Stefan Decker; Oya Beyan (Data Intell., 2021)

Establishing Transparency in Artificial Intelligence Systems. - Lars Quakulinski; Adamantios Koumpis; Oya Deniz Beyan (TransAI, 2022)

Explainable AI for Bioinformatics: Methods, Tools, and Applications. - Md. Rezaul Karim 001; Tanhim Islam; Oya Beyan; Christoph Lange 002; Michael Cochez; Dietrich Rebholz-Schuhmann; Stefan Decker (CoRR, 2022)

Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing. - Md. Rezaul Karim 001; Michael Cochez; Achille Zappa; Ratnesh Sahay; Dietrich Rebholz-Schuhmann; Oya Beyan; Stefan Decker (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train. - Yongli Mou; Feifei Li; Sven Weber; Sabith Haneef; Hans Meine; Liliana Caldeira; Mehrshad Jaberansary; Sascha Welten; Yeliz Ucer Yediel; Guido P. M. Prause; Stefan Decker; Oya Beyan; et al. (CoRDI, 2023)

Towards FAIR Data in Distributed Machine Learning Systems. - Yongli Mou; Fengyang Guo; Wei Lu; Yongzhao Li; Oya Beyan; Thomas Rose 001; Schahram Dustdar; Stefan Decker (GLOBECOM, 2023)

PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences. - Zeyd Boukhers; Arnim Bleier; Yeliz Ucer Yediel; Mio Hienstorfer-Heitmann; Mehrshad Jaberansary; Sascha Welten; Adamantios Koumpis; Oya Beyan (JCDL, 2023)

The Library of Babel as a Digital Library of Human Mistakes. - Lars Quakulinski; Adamantios Koumpis; Oya Deniz Beyan (JCDL, 2023)

Breaking Barriers for Interoperability: A Reference Implementation of CSV-FHIR Transformation Using Open-Source Tools. - Samer Alkarkoukly; Md. Mostafa Kamal; Oya Beyan (MIE, 2023)

Integrating Cross-Departmental Data. - Julia Gehrmann; Oya Beyan (MIE, 2023)

Voxel-Wise Medical Imaging Transformation and Adaption Based on CycleGAN and Score-Based Diffusion. - Feifei Li; Mirjam Schöneck; Oya Beyan; Liliana Lourenco Caldeira (MIE, 2023)

pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints. - Yongli Mou; Jiahui Geng; Feng Zhou 011; Oya Beyan; Chunming Rong; Stefan Decker (PAKDD (2), 2023)

Enhancing Data Space Semantic Interoperability through Machine Learning: a Visionary Perspective. - Zeyd Boukhers; Christoph Lange 002; Oya Beyan (WWW (Companion Volume), 2023)

Analyzing Distributed Medical Data in FAIR Data Spaces. - Mehrshad Jaberansary; Macedo Maia; Yeliz Ucer Yediel; Oya Beyan; Toralf Kirsten (WWW (Companion Volume), 2023)

A Biomedical Knowledge Graph for Biomarker Discovery in Cancer. - Md. Rezaul Karim 001; Lina Molinas Comet; Oya Beyan; Dietrich Rebholz-Schuhmann; Stefan Decker (CoRR, 2023)

PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences. - Zeyd Boukhers; Arnim Bleier; Yeliz Ucer Yediel; Mio Hienstorfer-Heitmann; Mehrshad Jaberansary; Adamantios Koumpis; Oya Beyan (CoRR, 2023)

Privacy-Preserving Linkage of Distributed Datasets using the Personal Health Train. - Maximilian Jugl; Sascha Welten; Yongli Mou; Yeliz Ucer Yediel; Oya Deniz Beyan; Ulrich Sax; Toralf Kirsten (CoRR, 2023)

From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer. - Md. Rezaul Karim 001; Lina Molinas Comet; Md Shajalal; Oya Beyan; Dietrich Rebholz-Schuhmann; Stefan Decker (CoRR, 2023)

Stakeholders of Cardiovascular Innovation Ecosystems in Germany: A First Level Analysis and an Example. - Stanislav Kirichenko; Adamantios Koumpis; Oya Beyan (Int. J. Online Biomed. Eng., 2023)

Explainable AI for Bioinformatics: Methods, Tools and Applications. - Md. Rezaul Karim 001; Tanhim Islam; Md Shajalal; Oya Beyan; Christoph Lange 002; Michael Cochez; Dietrich Rebholz-Schuhmann; Stefan Decker (Briefings Bioinform., 2023)

Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy. - Nicola Altini; Michele Rossini; Sándor Turkevi-Nagy; Francesco Pesce; Paola Pontrelli; Berardino Prencipe; Francesco Berloco; Surya Seshan; Jean-Baptiste Gibier; Aníbal Pedraza Dorado; Gloria Bueno; Licia Peruzzi; et al. (Comput. Methods Programs Biomed., 2023)

Transparency in Medical Artificial Intelligence Systems. - Lars Quakulinski; Adamantios Koumpis; Oya Deniz Beyan (Int. J. Semantic Comput., 2023)

FDO Manager: Minimum Viable FAIR Digital Object Implementation. - Oussama Zoubia; Nagaraj Bahubali Asundi; Adamantios Koumpis; Christoph Lange 002; Sezin Dogan; Oya Beyan; Zeyd Boukhers (FDO, 2024)

Large Language Models for Literature Reviews - An Exemplary Comparison of LLM-based Approaches with Manual Methods. - Julia Gehrmann; Lars Quakulinski; Oya Beyan (FLLM, 2024)

Early Multimodal Data Integration for Data-Driven Medical Research - A Scoping Review. - Julia Gehrmann; Oya Beyan (GMDS, 2024)

Semi-Automatic Export of Electrophysiological Metadata to NFDI4Health Local Data Hubs: Use Case of Microneurography odML-Tables - A Technical Case Report. - Alina Troglio; Masoud Abedi; Martin Golebiewski; Frank A. Meineke; Toralf Kirsten; Barbara Namer; Oya Beyan; Ekaterina Kutafina (GMDS, 2024)

Cybersecurity Frameworks in Healthcare Data: Short Literature Review. - Muhammad Adnan; Ekaterina Kutafina; Oya Beyan (MIE, 2024)

Data Quality in Medical Real-World Data - An Oncological Use Case. - Julia Gehrmann; Oya Beyan (MIE, 2024)

Real-Time Visualization and Analysis Architecture for Data Integration Processes at Cologne University Hospital's Medical Data Integration Center. - Md. Mostafa Kamal; Ekaterina Kutafina; Oya Beyan (MIE, 2024)

How Data Infrastructure Deals with Bias Problems in Medical Imaging. - Feifei Li; Ekaterina Kutafina; Mirjam Schöneck; Liliana Lourenco Caldeira; Oya Beyan (MIE, 2024)

Harmonizing Microneurography Metadata with Local Data Hubs: A Concept. - Barbara Namer; Alina Troglio; Toralf Kirsten; Oya Beyan; Ekaterina Kutafina (MIE, 2024)

Review of Key Elements in Developing a Common Data Model for Rare Diseases: Identifying Common Success Factors. - Filip Rehburg; Miriam Hübner; Sylvia Thun; Oya Beyan (MIE, 2024)

Identification of Medical Ecosystems in the Field of Mental Health and Cardiovascular Diseases at the Cologne Site. - Cara Dannenberg; Johannes Heimann; Adamantios Koumpis; Oya Beyan (Int. J. Online Biomed. Eng., 2024)

Challenges of Entrepreneurship Teaching in the Healthtech and Medtech Domains: Some Inputs for a New Approach. - Adamantios Koumpis; Arminda Maria Finisterra do Paço; Oya Beyan (Int. J. Online Biomed. Eng., 2024)

Voxel-Wise Medical Image Generalization for Eliminating Distribution Shift. - Feifei Li; Yuanbin Wang; Oya Beyan; Mirjam Schöneck; Liliana Lourenco Caldeira (ACM Trans. Knowl. Discov. Data, 2024)

Improved Gradient Inversion Attacks and Defenses in Federated Learning. - Jiahui Geng; Yongli Mou; Qing Li 038; Feifei Li; Oya Beyan; Stefan Decker; Chunming Rong (IEEE Trans. Big Data, 2024)

Managing Clinical Research on Blockchain Using FAIR Principles. - Seyma Cihan; Adnan Ozsoy; Oya Deniz Beyan (Concurr. Comput. Pract. Exp., 2025)

EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning. - Lingxiao Kong; Cong Yang; Susanne Neufang; Oya Deniz Beyan; Zeyd Boukhers (CoRR, 2025)

A systematic review of the blockchain application in healthcare research domain: toward a unified conceptual model. - Seyma Cihan; Nebi Yilmaz; Adnan Ozsoy; Oya Deniz Beyan (Medical Biol. Eng. Comput., 2025)

Toward a fair, gender-debiased classifier for the diagnosis of attention deficit/hyperactivity disorder- a Machine-Learning based classification study. - Susanne Neufang; Feifei Li; Atae Akhrif; Oya Deniz Beyan (BMC Medical Informatics Decis. Mak., 2025)