Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset. - Jan Egger; Birgit Pfarrkirchner; Christina Gsaxner; Lydia Lindner; Dieter Schmalstieg; Jürgen Wallner (EMBC, 2018)

Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans. - Christina Gsaxner; Birgit Pfarrkirchner; Lydia Lindner; Norbert Jakse; Jürgen Wallner; Dieter Schmalstieg; Jan Egger (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Lower jawbone data generation for deep learning tools under MeVisLab. - Birgit Pfarrkirchner; Christina Gsaxner; Lydia Lindner; Norbert Jakse; Jürgen Wallner; Dieter Schmalstieg; Jan Egger (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Using Synthetic Training Data for Deep Learning-Based GBM Segmentation. - Lydia Lindner; Dominik Narnhofer; Maximilian Weber; Christina Gsaxner; Malgorzata Kolodziej; Jan Egger (EMBC, 2019)

Combining frequency and time-domain EEG features for classification of self-paced reach-and-grasp actions. - Andreas Schwarz; Joana Pereira; Lydia Lindner; Gernot R. Müller-Putz (EMBC, 2019)

Lightweight Video Denoising using Aggregated Shifted Window Attention. - Lydia Lindner; Alexander Effland; Filip Ilic; Thomas Pock; Erich Kobler (WACV, 2023)