8 Einträge gefunden

1. 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
2. Capsule networks for segmentation of small intravascular ultrasound image datasets

   1. Bargsten, Lennart
   2. Raschka, Silas
   3. Schlaefer, Alexander

   2021 - TUHH Open Research - frei zugänglich
3. 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
4. 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
5. SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

   1. Bargsten, Lennart
   2. Schlaefer, Alexander

   2020 - TUHH Open Research - frei zugänglich
6. Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation

   1. Seemann, Malte
   2. Bargsten, Lennart
   3. Schlaefer, Alexander

   2020 - TUHH Open Research - frei zugänglich
7. IVUS-Simulation for Improving Segmentation Performance of Neural Networks via Data Augmentation

   1. Sommer, Franziska
   2. Bargsten, Lennart
   3. Schlaefer, Alexander

   2019 - TUHH Open Research
8. Data Representations for Segmentation of Vascular Structures Using Convolutional Neural Networks with U-Net Architecture

   1. Bargsten, Lennart
   2. Wendebourg, Mareike
   3. Schlaefer, Alexander

   2019 - TUHH Open Research