Prof. Dr. med. Thomas Ganslandt

Professur für Medical Data Science Lehrstuhl für Medizinische Informatik Medizinisches Zentrum für Informations- und Kommunikationstechnik (Medizinisches IK-Zentrum, MIK)

Data Visualization Support for Tumor Boards and Clinical Oncology: Protocol for a Scoping Review. (2024) Böhm D, Strantz C, Christoph J, Busch H, Ganslandt T, Unberath P Journal article The experience sampling methodology as a digital clinical tool for more person-centered mental health care: an implementation research agenda (2024) Myin-Germeys I, Schick A, Ganslandt T, Hajdúk M, Heretik A, Van Hoyweghen I, Kiekens G, et al. Journal article, Review article Evaluating and Enhancing the Fitness-for-Purpose of Electronic Health Record Data: Qualitative Study on Current Practices and Pathway to an Automated Approach Within the Medical Informatics for Research and Care in University Medicine Consortium (2024) Wabo GK, Moorthy P, Siegel F, Seuchter SA, Ganslandt T Journal article Provenance Information for Biomedical Data and Workflows: Scoping Review (2024) Gierend K, Krüger F, Genehr S, Hartmann F, Siegel F, Waltemath D, Ganslandt T, Zeleke AA Journal article, Review article The Status of Data Management Practices Across German Medical Data Integration Centers: Mixed Methods Study (2023) Gierend K, Freiesleben S, Kadioglu D, Siegel F, Ganslandt T, Waltemath D Journal article Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study (2023) Kim HE, Maros ME, Miethke T, Kittel M, Siegel F, Ganslandt T Journal article Traceable Research Data Sharing in a German Medical Data Integration Center With FAIR (Findability, Accessibility, Interoperability, and Reusability)-Geared Provenance Implementation: Proof-of-Concept Study (2023) Gierend K, Waltemath D, Ganslandt T, Siegel F Journal article Data Quality– and Utility-Compliant Anonymization of Common Data Model–Harmonized Electronic Health Record Data: Protocol for a Scoping Review (2023) Wabo GK, Prasser F, Gierend K, Siegel F, Ganslandt T Journal article Rapid Convolutional Neural Networks for Gram-Stained Image Classification at Inference Time on Mobile Devices: Empirical Study from Transfer Learning to Optimization (2022) Kim HE, Maros ME, Siegel F, Ganslandt T Journal article Visualization Techniques of Time-Oriented Data for the Comparison of Single Patients With Multiple Patients or Cohorts: Scoping Review (2022) Scheer J, Volkert A, Brich N, Weinert L, Santhanam N, Krone M, Ganslandt T, et al. Journal article, Review article