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A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

E. Williams, M. Kienast, E. Medawar, J. Reinelt, A. Merola, S. Klopfenstein, A. Flint, P. Heeren, A. Poncette, F. Balzer, J. Beimes, P. von Bünau, J. Chromik, B. Arnrich, N. Scherf, and S. Niehaus. JMIR Medical Informatics, (March 2023)
DOI: 10.2196/43847

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Domain-specific cues improve robustness of deep learning-based segmentation of CT volumesM. Kloenne, S. Niehaus, L. Lampe, A. Merola, J. Reinelt, I. Roeder, and N. Scherf. Sci. Rep., 10 (1): 10712 (July 2020)Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imagingL. Lampe, H. Huppertz, S. Anderl-Straub, F. Albrecht, T. Ballarini, S. Bisenius, K. Mueller, S. Niehaus, K. Fassbender, K. Fliessbach and 13 other author(s). NeuroImage Clin., 37 (103320): 103320 (January 2023)A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability StudyE. Williams, M. Kienast, E. Medawar, J. Reinelt, A. Merola, S. Klopfenstein, A. Flint, P. Heeren, A. Poncette, F. Balzer and 6 other author(s). JMIR Medical Informatics, (March 2023)How to predict relapse in leukemia using time series data: A comparative in silico studyH. Hoffmann, C. Baldow, T. Zerjatke, A. Gottschalk, S. Wagner, E. Karg, S. Niehaus, I. Roeder, I. Glauche, and N. Scherf. PLoS One, 16 (11): e0256585 (November 2021)Multi-stage reinforcement learning for object detectionJ. König, S. Malberg, M. Martens, S. Niehaus, A. Krohn-Grimberghe, and A. Ramaswamy. Advances in Intelligent Systems and Computing, Springer International Publishing, Cham, (2020)A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy dataN. Horlava, A. Mironenko, S. Niehaus, S. Wagner, I. Roeder, and N. Scherf. (2020)

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A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

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A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study