Linda Vorberg

Lehrstuhl für Informatik 5 (Mustererkennung) Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)

Stroke onset time estimation from NCCT with censoring-aware learning and robustness to infarct segmentation uncertainty (2026) Vorberg L, Rist L, Ditt H, Maier A, Taubmann O Journal article Comparing deep learning stroke segmentation in NCCT, CTA, and CTP: Accuracy, domain transfer, and temporal sampling effect (2026) Vorberg L, Ditt H, Maier A, Nicolaou S, Murray N, Taubmann O Journal article Hybrid Vessel Wall Segmentation for Assisted Annotation in CT Angiography (2026) Bracci J, Katzmann A, Rist L, Vorberg L, Sühling M, Maier A Conference contribution An LLM-Based Active Assistant and Smart Manual for CT Imaging Workflows (2026) Aliakbari Mamaghani Z, Vorberg L, Maier A, Katzmann A, Taubmann O Conference contribution Scan-Do Attitude: Towards Autonomous CT Protocol Management Using a Large Language Model Agent (2026) Kang X, Vorberg L, Maier A, Katzmann A, Taubmann O Conference contribution Leveraging Last-Known-Well Times for Radiomics-Based Stroke Onset Estimation from Non-contrast CT (2025) Vorberg L, Rist L, Ditt H, Maier A, Taubmann O Conference contribution, Conference Contribution Usefulness of Monoenergetic Non-contrast CT and X-Map Images for Deep Learning-Based Stroke Lesion Segmentation (2025) Vorberg L, Ditt H, Sühling M, Maier A, Murray N, Nicolaou S, Taubmann O Conference contribution Bayesian Uncertainty Estimation Improves nnU-Net Generalization to Unseen Sites for Stroke Lesion Segmentation (2025) Vorberg L, Ditt H, Sühling M, Maier A, Murray N, Nicolaou S, Taubmann O Conference contribution Segmentation of Acute Ischemic Stroke in Native and Enhanced CT using Uncertainty-aware Labels (2024) Vorberg L, Taubmann O, Ditt H, Maier A Conference contribution, Conference Contribution Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm – a single centre retrospective study (2024) Hagen F, Vorberg L, Thamm F, Ditt H, Maier A, Brendel JM, Ghibes P, et al. Journal article