Data Representations for Segmentation of Vascular Structures Using Convolutional Neural Networks with U-Net Architecture. - Lennart Bargsten; Mareike Wendebourg; Alexander Schlaefer (EMBC, 2019)

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing. - Lennart Bargsten; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2020)

Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets. - Lennart Bargsten; Katharina A. Riedl; Tobias Wissel; Fabian J. Brunner; Klaus Schaefers; Michael Grass 001; Stefan Blankenberg; Moritz Seiffert; Alexander Schlaefer (MIDL, 2021)

Capsule networks for segmentation of small intravascular ultrasound image datasets. - Lennart Bargsten; Silas Raschka; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2021)

A novel optical needle probe for deep learning-based tissue elasticity characterization. - Robin Mieling; Johanna Sprenger; Sarah Latus; Lennart Bargsten; Alexander Schlaefer (CoRR, 2021)