Hasil Pencarian - Constantin Seibold

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  1. 1
    Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism

    Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism oleh Matthias A. Fink, Constantin Seibold, Hans-Ulrich Kauczor, Rainer Stiefelhagen, Jens Kleesiek

    Diterbitkan 2022-05-01
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  2. 2
    A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data

    A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data oleh Gabriel Alexander Salg, Maria-Katharina Ganten, Andreas Michael Bucher, Hannes Goetz Kenngott, Matthias Alexander Fink, Constantin Seibold, Ricarda Elisabeth Fischbach, Kai Schlamp, Carlos Alberto Velandia, Philipp Fervers, Felix Doellinger, Anna Luger, Saif Afat, Uta Merle, Markus K. Diener, Philippe L. Pereira, Tobias Penzkofer, Thorsten Persigehl, Ahmed Othman, Claus Peter Heußel, Matthias Baumhauer, Gerlig Widmann, Konstantinos Stathopoulos, Bernd Hamm, Thomas J. Vogl, Konstantin Nikolaou, Hans-Ulrich Kauczor, Jens Kleesiek

    Diterbitkan 2021-04-01
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