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Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes

M. Kloenne, S. Niehaus, L. Lampe, A. Merola, J. Reinelt, I. Roeder, and N. Scherf. Sci. Rep., 10 (1): 10712 (July 2020)

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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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Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes

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Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes