Dr. Oya Deniz Beyan

Contact Information

view all courses

Job openings

• Student assistant for building of a biomedical data repository

Theses

• A Blockchain Enabled Fast Consensus Mechanism in Federal Learning (Running)
• 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)
• Trust Mechanism against Poisoning Attacks in Federated Learning (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)

view all theses

Publications

2021

• Sascha Welten, Yongli Mou, Oya Beyan, Toralf Kirsten, Yeliz Ucer Yediel, Mehrshad Jaberansary

  Distributed Skin Lesion Analysis across Decentralised Data Sources

  Published in Proceedings of the 31st Medical Informatics Europe Conference

• Sascha Welten, Stefan Decker, Oya Beyan, Laurenz Neumann, Yeliz Ucer Yediel, Luiz Olavo Bonino da Silva Santos

  DAMS: A Distributed Analytics Metadata Schema

  Published in Data Intelligence

• Md. Rezaul Karim, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker

  DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis from Radiographs and Magnetic Resonance Imaging

  Published in IEEE Access

2020

• Md. Rezaul Karim, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker

  DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images

  Published in IEEE International Conference on Bioinformatics and Biomedicine (BIBM'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

• Md. Rezaul Karim, Michael Cochez, Dietrich Rebholz-Schuhmann, Oya Beyan, Stefan Decker

  Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing

  Published in IEEE/ACM Transactions on Computational Biology and 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

view all publications