Dr. Oya Deniz Beyan

Contact Information

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Theses

• An Explainable and Fully Automated Localization and Semantic Segmentation Technique for Biomedical Imaging (Running)
• Classification of Cancer with methylation aware motifs (Running)
• FAIR Identifier Registry for Distributed Systems (Running)
• Towards Automating Graph Data Cleansing Using Shapes (Running)
• Unsupervised Anomaly Detection in Medical Time Series Data (2019)
• Deep Learning-based Knee Osteoarthritis Diagnosis from Radiographs and Magnetic Resonance Images (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)

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Publications

2019

• 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

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

  Implementation of Clinical Decision Support Services to Detect Potential Drug-Drug Interaction Using Clinical Quality Language

  Published in Stud Health Technol Inform

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

  OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data

  Published in 19th IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE 2019)

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

  Design of the SMITH Metadata Services

2018

• Oya Beyan, Andrea Wuchner, Dirk Eisengräber-Pabst, Christoph Quix, Christian Zaschke, Oliver Schumacher

  Research Data in the Fraunhofer Digital Project: Creating a FAIR Research Data Infrastructure and Culture

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