18 Einträge gefunden

1. Cascaded learning in intravascular ultrasound: coronary stent delineation in manual pullbacks

   1. Wissel, Tobias
   2. Riedl, Katharina A
   3. Schaefers, Klaus
   4. Nickisch, Hannes
   5. Brunner, Fabian J
   6. Schnellbaecher, Nikolas D
   7. Blankenberg, Stefan

   2022 - Forschungsinformationssystem des UKE
2. Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation

   1. Baltruschat, Ivo
   2. Steinmeister, Leonhard
   3. Nickisch, Hannes
   4. Saalbach, Axel
   5. Grass, Michael
   6. Adam, Gerhard
   7. Knopp, Tobias

   2021 - Forschungsinformationssystem des UKE - frei zugänglich
3. Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets

   1. Holstein, Lennart
   2. Riedl, Katharina Alina
   3. Wissel, Tobias
   4. Brunner, Fabian J.
   5. Schaefers, Klaus
   6. Grass, Michael
   7. Blankenberg, Stefan

   2021 - TUHH Open Research
4. Tailored methods for segmentation of intravascular ultrasound images via convolutional neural networks

   1. Bargsten, Lennart
   2. Riedl, Katharina A.
   3. Wissel, Tobias
   4. Brunner, Fabian J.
   5. Schaefers, Klaus
   6. Sprenger, Johanna
   7. Grass, Michael

   2021 - TUHH Open Research
5. Deep learning for calcium segmentation in intravascular ultrasound images

   1. Bargsten, Lennart
   2. Riedl, Katharina A.
   3. Wissel, Tobias
   4. Brunner, Fabian J.
   5. Schaefers, Klaus
   6. Grass, Michael
   7. Blankenberg, Stefan

   2021 - Forschungsinformationssystem des UKE - frei zugänglich
6. Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation

   1. Baltruschat, Ivo-Matteo
   2. Steinmeister, Leonhard A.
   3. Nickisch, Hannes
   4. Saalbach, Axel
   5. Grass, Michael
   6. Adam, Gerhard
   7. Knopp, Tobias

   2020 - TUHH Open Research - frei zugänglich
7. Learning metal artifact reduction in cardiac CT images with moving pacemakers

   1. Lossau, Tanja
   2. Nickisch, Hannes
   3. Wissel, Tobias
   4. Morlock, Michael
   5. Grass, Michael

   2020 - TUHH Open Research
8. Abstract: Does bone suppression and lung detection improve chest disease classification?

   1. Baltruschat, Ivo M.
   2. Steinmeister, Leonhard A.
   3. Ittrich, Harald
   4. Adam, Gerhard
   5. Nickisch, Hannes
   6. Saalbach, Axel
   7. von Berg, Jens

   2019 - TUHH Open Research
9. Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification?

   1. Baltruschat, Ivo Matteo
   2. Steinmeister, Leonhard
   3. Ittrich, Harald
   4. Adam, Gerhard
   5. Nickisch, Hannes
   6. Saalbach, Axel
   7. von Berg, Jens

   2019 - Forschungsinformationssystem des UKE - frei zugänglich
10. Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks

    1. Lossau, Tanja
    2. Nickisch, Hannes
    3. Wissel, Tobias
    4. Bippus, Rolf
    5. Schmitt, Holger
    6. Morlock, Michael
    7. Grass, Michael

    2019 - TUHH Open Research
11. Comparison of deep learning approaches for multi-label chest X-ray classification

    1. Baltruschat, Ivo M.
    2. Nickisch, Hannes
    3. Grass, Michael
    4. Knopp, Tobias
    5. Saalbach, Axel

    2019 - TUHH Open Research - frei zugänglich
12. Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

    1. Baltruschat, Ivo M
    2. Nickisch, Hannes
    3. Grass, Michael
    4. Knopp, Tobias
    5. Saalbach, Axel

    2019 - Forschungsinformationssystem des UKE - frei zugänglich
13. Motion estimation and correction in cardiac CT angiography images using convolutional neural networks

    1. Lossau, Tanja
    2. Nickisch, Hannes
    3. Wissel, Tobias
    4. Bippus, Rolf
    5. Schmitt, Holger
    6. Morlock, Michael
    7. Grass, Michael

    2019 - TUHH Open Research
14. Motion compensated reconstruction of the aortic valve for computed tomography

    1. Elss, Tanja
    2. Bippus, R.
    3. Schmitt, H.
    4. Ivanc, T.
    5. Morlock, Michael
    6. Grass, Michael

    2018 - TUHH Open Research
15. Deep-learning-based CT motion artifact recognition in coronary arteries

    1. Elss, Tanja
    2. Nickisch, Hannes
    3. Wissel, T.
    4. Schmitt, H.
    5. Vembar, M.
    6. Morlock, Michael
    7. Grass, Michael

    2018 - TUHH Open Research
16. Filter calculation for X-ray tomosynthesis reconstruction

    1. Nielsen, Tim
    2. Hitziger, Sebastian
    3. Grass, Michael
    4. Iske, Armin

    2012 - Forschungsinformationssystem der UHH
17. Accelerating image acquisition in 64-MDCT: the influence of scan parameters on image resolution and quality in a phantom study.

    1. Klink, Thorsten
    2. Regier, Marc
    3. van Stevendaal, Udo
    4. Grass, Michael
    5. Adam, Gerhard
    6. Begemann, Philipp

    2012 - Forschungsinformationssystem des UKE
18. Evaluation of the influence of acquisition and reconstruction parameters for 16-row multidetector CT on coronary calcium scoring using a stationary and dynamic cardiac phantom.

    1. Begemann, Philipp
    2. van Stevendaal, Udo
    3. Köster, Ralf
    4. Mahnken, Andreas H
    5. Koops, Andreas
    6. Adam, Gerhard
    7. Grass, Michael

    2007 - Forschungsinformationssystem des UKE