Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning. - Linda Vorberg; Siri Pflueger; Robert Richer; Katharina M. Jäger; Arne Küderle; Nicolas Rohleder; Bjoern M. Eskofier (BHI, 2023)

Detection of Pulmonary Embolisms in NCCT Data Using nnDetection. - Linda Vorberg; Florian Thamm; Hendrik Ditt; Marius Horger; Florian Hagen; Andreas K. Maier (Bildverarbeitung für die Medizin, 2023)

Segmentation of Acute Ischemic Stroke in Native and Enhanced CT using Uncertainty-aware Labels. - Linda Vorberg; Oliver Taubmann; Hendrik Ditt; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Bayesian Uncertainty Estimation Improves nnU-Net Generalization to Unseen Sites for Stroke Lesion Segmentation. - Linda Vorberg; Hendrik Ditt; Michael Sühling; Andreas K. Maier; Nicolas Murray; Savvas Nicolaou; Oliver Taubmann (SWITCH/ISLES@MICCAI, 2024)

Usefulness of Monoenergetic Non-contrast CT and X-Map Images for Deep Learning-Based Stroke Lesion Segmentation. - Linda Vorberg; Hendrik Ditt; Michael Sühling; Andreas K. Maier; Nicolas Murray; Savvas Nicolaou; Oliver Taubmann (SWITCH/ISLES@MICCAI, 2024)

Neural Image Unfolding: Flattening Sparse Anatomical Structures using Neural Fields. - Leonhard Rist; Pluvio Stephan; Noah Maul; Linda Vorberg; Hendrik Ditt; Michael Sühling; Andreas K. Maier; Bernhard Egger 001; Oliver Taubmann (CoRR, 2024)