Leonard Greulich

According to our database, Leonard Greulich authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Federated electronic data capture (fEDC): Architecture and prototype.

Matthias Ganzinger, Max Blumenstock, Axel Fürstberger, Leonard Greulich, Hans A. Kestler, Michael Marschollek, Christian Niklas, Tim Schneider, Cord Spreckelsen, Erik Tute, Julian Varghese, Martin Dugas

J. Biomed. Informatics, February, 2023

2022

Linking EMR Data to REDCap: Implementation in the SOLKID Register.

Tobias J. Brix, Leonard Greulich, Alice Janssen, Sarah Riepenhausen, Philipp Neuhaus, Johannes Oehm, Jeannine Wegner, Barbara Suwelack, Michael Storck, Julian Varghese

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

2021

MainzelHandler: A Library for a Simple Integration and Usage of the Mainzelliste.

Daniel Preciado-Marquez, Ludger Becker, Michael Storck, Leonard Greulich, Martin Dugas, Tobias J. Brix

Proceedings of the Public Health and Informatics, 2021

A Seamless Pseudonymization and Randomization Workflow for REDCap.

Leonard Greulich, Tobias J. Brix, Michael Storck, Martin Dugas

Proceedings of the Public Health and Informatics, 2021

ODM-DQA-Reporter: A Generic Approach to Assess and Monitor Basic Data Quality of Medical Research Data in Operational Data Model (ODM) Format.

Aysenur Süer, Sarah Riepenhausen, Michael Storck, Leonard Greulich, Claudia Zeidler, Sonja Ständer, Martin Dugas

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2019

Compatible Data Models at Design Stage of Medical Information Systems: Leveraging Related Data Elements from the MDM Portal.

Martin Dugas, Stefan Hegselmann, Sarah Riepenhausen, Philipp Neuhaus, Leonard Greulich, Alexandra Meidt, Julian Varghese

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

Reproducible Survival Prediction with SEER Cancer Data.

Stefan Hegselmann, Leonard Greulich, Julian Varghese, Martin Dugas

Proceedings of the Machine Learning for Healthcare Conference, 2018