7 Einträge gefunden

1. 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
2. Deep learning for guidewire detection in intravascular ultrasound images

   1. Bargsten, Lennart
   2. Klisch, Daniel
   3. Riedl, Katharina Alina
   4. Wissel, Tobias
   5. Brunner, Fabian J.
   6. Schaefers, Klaus
   7. Graß, Michael

   2021 - TUHH Open Research - frei zugänglich
3. 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
4. Deep learning for calcium segmentation in intravascular ultrasound images

   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 - frei zugänglich
5. 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
6. 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
7. 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