Transfer learning for medical image classification: a literature review
2022 · BMC Medical Imaging · 825 citations
https://doi.org/10.1186/s12880-022-00793-7
T
Thomas Ganslandt
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Thomas Ganslandt is an academic researcher from Friedrich-Alexander-Universität Erlangen-Nürnberg. The author has contributed to research in topics: Electronic Health Records Systems & Biomedical Text Mining and Ontologies & Scientific Computing and Data Management. The author has an h-index of 31, co-authored 158 publications.
ORCID: 0000-0001-6864-8936Papers by this author
worksInternational electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
2020 · npj Digital Medicine · 212 citations
https://doi.org/10.1038/s41746-020-00308-0
Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence
2013 · BMC Medical Informatics and Decision Making · 105 citations
https://doi.org/10.1186/1472-6947-13-37
Leitfaden zum Datenschutz in medizinischen Forschungsprojekten: Generische Lösungen der TMF 2.0
2014 · Medizinisch Wissenschaftliche Verlagsgesellschaft eBooks · 47 citations
https://doi.org/10.32745/9783954662951
Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting
2016 · BMC Medical Research Methodology · 45 citations
https://doi.org/10.1186/s12874-016-0259-3
Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative
2020 · BMC Medical Informatics and Decision Making · 30 citations
https://doi.org/10.1186/s12911-020-01138-6
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