12 Einträge gefunden

1. Abstract: Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning

   1. Baltruschat, Ivo M.
   2. Szwargulski, Patryk
   3. Griese, Florian
   4. Grosser, Mirco
   5. Werner, René
   6. Knopp, Tobias

   2021 - TUHH Open Research
2. Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning

   1. Baltruschat, Ivo M.
   2. Szwargulski, Patryk
   3. Griese, Florian
   4. Grosser, Mirco
   5. Werner, René
   6. Knopp, Tobias

   2021 - TUHH Open Research
3. Combining Direct 3D Volume Rendering and Magnetic Particle Imaging to Advance Radiation-Free Real-Time 3D Guidance of Vascular Interventions

   1. Weller, Dominik
   2. Salamon, Johannes M
   3. Frölich, Andreas
   4. Möddel, Martin
   5. Knopp, Tobias
   6. Werner, René

   2020 - Forschungsinformationssystem des UKE
4. 3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning

   1. Baltruschat, Ivo-Matteo
   2. Szwargulski, Patryk
   3. Griese, Florian
   4. Grosser, Mirco
   5. Werner, René
   6. Knopp, Tobias

   2020 - TUHH Open Research
5. Combining Direct 3D Volume Rendering and Magnetic Particle Imaging to Advance Radiation-Free Real-Time 3D Guidance of Vascular Interventions

   1. Weller, Dominik
   2. Salamon, Johannes
   3. Frölich, Andreas M. J.
   4. Möddel, Martin
   5. Knopp, Tobias
   6. Werner, René

   2020 - TUHH Open Research
6. Toward employing the full potential of magnetic particle imaging: Exploring visualization techniques and clinical use cases for real-time 3D vascular imaging

   1. Werner, René
   2. Weller, Dominik
   3. Salamon, Johannes
   4. Möddel, Martin
   5. Knopp, Tobias

   2019 - TUHH Open Research
7. A new cerebral vessel benchmark dataset (CAPUT) for validation of image-based aneurysm deformation estimation algorithms

   1. Schetelig, Daniel
   2. Frölich, Andreas M. J.
   3. Knopp, Tobias
   4. Werner, René

   2018 - TUHH Open Research - frei zugänglich
8. Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom

   1. Schetelig, Daniel
   2. Sedlacik, Jan
   3. Fiehler, Jens
   4. Frölich, Andreas M. J.
   5. Knopp, Tobias
   6. Sothmann, Thilo
   7. Waschkewitz, Jonathan

   2018 - TUHH Open Research - frei zugänglich
9. Influence of deformable image registration on 4D dose simulation for extracranial SBRT: A multi-registration framework study

   1. Mogadas, Nik
   2. Sothmann, Thilo
   3. Knopp, Tobias
   4. Gauer, Tobias
   5. Petersen, Cordula
   6. Werner, René

   2018 - Forschungsinformationssystem des UKE
10. A new cerebral vessel benchmark dataset (CAPUT) for validation of image-based aneurysm deformation estimation algorithms

    1. Schetelig, Daniel
    2. Frölich, Andreas
    3. Knopp, Tobias
    4. Werner, René

    2018 - Forschungsinformationssystem des UKE - frei zugänglich
11. Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom

    1. Schetelig, Daniel
    2. Sedlacik, Jan
    3. Fiehler, Jens
    4. Frölich, Andreas
    5. Knopp, Tobias
    6. Sothmann, Thilo
    7. Waschkewitz, Jonathan

    2018 - Forschungsinformationssystem des UKE - frei zugänglich
12. Submillimeter-Accurate Marker Localization within Low Gradient Magnetic Particle Imaging Tomograms

    1. Griese, Florian
    2. Knopp, Tobias
    3. Werner, René
    4. Schlaefer, Alexander
    5. Möddel, Martin

    2017 - TUHH Open Research - frei zugänglich