Dr. Oya Deniz Beyan

Contact Information

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Theses

• A Blockchain Enabled Fast Consensus Mechanism in Federal Learning (Open)
• Trust Mechanism against Poisoning Attacks in Federated Learning (Open)
• A Conceptual Framework Towards Application-specific Presentation Views on Knowledge Organization Systems (Running)
• A containerisation pipeline for distributed analytics algorithms: The algorithm assembly line (Running)
• Data Curation for Model Training using Representation Learning and Feature Embeddings (Running)
• Developing Data Quality Metrics for Power System Modeling (Running)
• A web-tool for a Distributed Analytics platform (2020)
• Unsupervised Anomaly Detection in Medical Time Series Data (2019)
• Deep Learning-based Knee Osteoarthritis Diagnosis from Radiographs and Magnetic Resonance Images (2019)
• Classification of Cancer with methylation aware motifs (2019)
• Design and Implementation of an adaptable visual query tool for graph based health data (2019)
• Developing a machine-actionable process model for ethical approval workflows (2019)
• Arden Syntax in Use of Data Analysis Pipelines - Development of a DSL Based on the Arden Syntax, supporting recruitment for clinical trails (2019)
• Patterns zur Integration regel- und prozessbasierter Modellkomponenten bei der Operationalisierung klinischer Leitlinien (2019)
• An Explainable and Fully Automated Localization and Semantic Segmentation Technique for Biomedical Imaging (2019)

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Publications

2020

• Lars Gleim, Md. Rezaul Karim, Lukas Zimmermann, Oliver Kohlbacher, Holger Stenzhorn, Stefan Decker, Oya Beyan

  Enabling Ad-hoc Reuse of Private Data Repositories through Schema Extraction

  Published in Journal of Biomedical Semantics volume 11, Article number: 6 (2020)

• Md. Rezaul Karim, Oya Beyan, Michael Cochez, Stefan Decker

  Deep learning-based clustering approaches for bioinformatics

  Published in Briefings in Bioinformatics

2019

• Juliane Fluck, Iris Pigeot, Birte Lindstädt, Thomas Gübitz, Hajo Zeeb, Wolfgang Ahrens, Markus Löffler, Oana Brosteanu, Ulrich Lang, Constanze Curdt, Sebastian [Claudius] Semler, Oya Beyan, Hubertus Neuhausen, Jens Dierkes, Ulrich Sax, Harald Kusch, Henriette Senst, Thilo Muth, Sylvia Thun, Dietrich Kaiser, Jochen Dress, Wolfgang Müller, Martin Golebiewski

  NFDI4Health: Ein Konzept für eine föderierte Forschungsdateninfrastruktur personenbezogener Gesundheitsdaten.

  Published in Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

• Md. Rezaul Karim, Md Ashiqur Rahman, Joao Bosco Jares, Stefan Decker, Oya Beyan

  A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations

  Published in Neural Computing and Applications

• Oya Beyan, Ananya Choudry, Johan van Soest, Oliver Kohlbacher, Lukas Zimmermann, Holger Stenzhorn, Md. Rezaul Karim, Michel Dumontier, Stefan Decker, Luiz Olavo Bonino da Silva Santos, Andre Dekker

  Distributed Analytics on Sensitive Medical Data: The Personal Health Train

  Published in Data Intelligence

• Binh-Phi Nguyen, Thomas Reese, Stefan Decker, Daniel C. Malone, Richard D. Boyce, Oya Beyan

  Clinical Decision Support Services to Detect Potential Drug-Drug Interaction using Clinical Quality Language

• Peter McQuilton, Dominique Batista, Oya Beyan, Ramon Granell, Simon Coles, Massimiliano Izzo, Allyson L. Lister, Robert Pergl, Philippe Rocca-Serra, Ben Schaap, Hugh Shanahan, Milo Thurston, Susanna-Assunta Sansone

  Helping the consumers and producers of standards, repositories and policies to enable FAIR data

  Published in Data Intelligence

• Md. Rezaul Karim, Galih Wicaksono, Ivan G. Costo, Stefan Decker, Oya Beyan

  Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data

  Published in IEEE Access

• Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mumtaz Uddin, Oya Beyan, Stefan Decker

  Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

• Matthias Löbe, Oya Beyan, Sebastian Stäubert, Frank Meineke, Danny Ammon, Alfred Winter, Stefan Decker, Markus Löffler, Toralf Kirsten

  Design of Metadata Services for Clinical Data Interoperability in Germany

  Published in Stud Health Technol Inform

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