Linda Vorberg

According to our database, Linda Vorberg authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Hybrid Vessel Wall Segmentation for Assisted Annotation in CT Angiography.

Jacopo Bracci, Alexander Katzmann, Leonhard Rist, Linda Vorberg, Michael Sühling, Andreas Maier

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

Automatic Patient Positioning Control and Correction on MRI Localizer Images.

Zeineb Azouzi, Linda Vorberg, Rainer Schneider, Andreas Maier, Fabian Wagner

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

2025

Leveraging Last-Known-Well Times for Radiomics-Based Stroke Onset Estimation from Non-contrast CT.

Linda Vorberg, Leonhard Rist, Hendrik Ditt, Andreas K. Maier, Oliver Taubmann

Proceedings of the Image Analysis in Stroke Diagnosis and Interventions, 2025

An LLM-Based Active Assistant and Smart Manual for CT Imaging Workflows.

Zeinab Aliakbari Mamaghani, Linda Vorberg, Andreas K. Maier, Alexander Katzmann, Oliver Taubmann

Proceedings of the Emerging LLM/LMM Applications in Medical Imaging, 2025

Scan-Do Attitude: Towards Autonomous CT Protocol Management Using a Large Language Model Agent.

Xingjian Kang, Linda Vorberg, Andreas K. Maier, Alexander Katzmann, Oliver Taubmann

Proceedings of the AI for Clinical Applications - First International Workshops, 2025

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, Oliver Taubmann

CoRR, 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

Proceedings of the Image Analysis in Stroke Diagnosis and Interventions, 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

Proceedings of the Image Analysis in Stroke Diagnosis and Interventions, 2024

Segmentation of Acute Ischemic Stroke in Native and Enhanced CT using Uncertainty-aware Labels.

Linda Vorberg, Oliver Taubmann, Hendrik Ditt, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Detection of Pulmonary Embolisms in NCCT Data Using nnDetection.

Linda Vorberg, Florian Thamm, Hendrik Ditt, Marius Horger, Florian Hagen, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

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

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023