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February 15, 2020 article Open access Aachen paper

Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images

Computer Methods and Programs in Biomedicine, vol. 191, pp. 105387

DOI: 10.1016/j.cmpb.2020.105387 Full text (OA) OpenAlex

Authors 8

  1. Floris Heutink

    Radboud University Nijmegen · Radboud University Medical Center · Donders Institute for Brain, Cognition and Behaviour

    Affiliation as printed

    Department of Otorhinolaryngology and Donders Institute for Brain, Cognition and Behavior, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands

  2. Valentin Koch

    Radboud University Nijmegen · Radboud University Medical Center

    Affiliation as printed

    Department of Radiology and Nuclear Medicine, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands

  3. Berit M. Verbist Aachen Department of Radiology, Leiden University Medical Center

    Leiden University · Leiden University Medical Center

    Affiliation as printed

    Department of Radiology, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands

  4. Willem-Jan van der Woude

    Radboud University Nijmegen · Radboud University Medical Center

    Affiliation as printed

    Department of Radiology and Nuclear Medicine, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands

  5. Emmanuel A. M. Mylanus

    Radboud University Nijmegen · Radboud University Medical Center · Donders Institute for Brain, Cognition and Behaviour

    Affiliation as printed

    Department of Otorhinolaryngology and Donders Institute for Brain, Cognition and Behavior, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands

  6. Wendy J. Huinck

    Radboud University Nijmegen · Radboud University Medical Center · Donders Institute for Brain, Cognition and Behaviour

    Affiliation as printed

    Department of Otorhinolaryngology and Donders Institute for Brain, Cognition and Behavior, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands

  7. Ioannis Sechopoulos

    Radboud University Nijmegen · Radboud University Medical Center · Dutch Expert Centre for Screening

    Affiliation as printed

    Department of Radiology and Nuclear Medicine, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands; Dutch Expert Center for Screening (LRCB), Wijchenseweg 101, 6538 SW, Nijmegen, the Netherlands

    Department of Radiology and Nuclear Medicine, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands

    Dutch Expert Center for Screening (LRCB), Wijchenseweg 101, 6538 SW, Nijmegen, the Netherlands

  8. Marco Caballo corresponding

    Radboud University Nijmegen · Radboud University Medical Center

    Affiliation as printed

    Department of Radiology and Nuclear Medicine, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands. Electronic address: marco.caballo@radboudumc.nl

    Department of Radiology and Nuclear Medicine, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands

Cited by 75 stored of 78

References 58