Linda Vorberg
Linda Vorberg, M. Sc.
Academic CV
- Since 06/2023:
PhD candidate at the Pattern Recognition Lab, FAU Erlangen-NürnbergResearcher in cooperation with Siemens Healthineers CT Forchheim
Topic: Image Analysis for Stroke Diagnosis - 05/2020 – 08/2022:
Master’s Degree in Medical Engineering with Focus on Medical Imaging and Data Processing, FAU Erlangen-Nürnberg
Master’s Thesis: “Detection of Pulmonary Embolisms in NCCT Data using Deep Learning” - 10/2016 – 05/2020:
Bachelor’s Degree in Medical Engineering with Focus on Medical Imaging and Data Processing, FAU Erlangen-Nürnberg
Bachelor’s Thesis: “Clustering of Stress Responder Types based on Diurnal Cortisol Profiles”
Projects
No projects found.
Publications
2025
Conference Contributions
Bayesian Uncertainty Estimation Improves nnU-Net Generalization to Unseen Sites for Stroke Lesion Segmentation
4th International Workshop, SWITCH 2024, and 6th International Challenge, ISLES 2024 (Marrakesh, October 10, 2024 - October 10, 2024)
In: Image Analysis in Stroke Diagnosis and Interventions, Cham: 2025
DOI: 10.1007/978-3-031-81101-2_3
BibTeX: Download
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Usefulness of Monoenergetic Non-contrast CT and X-Map Images for Deep Learning-Based Stroke Lesion Segmentation
4th International Workshop, SWITCH 2024, and 6th International Challenge, ISLES 2024 (Marrakesh, October 10, 2024 - October 10, 2024)
In: Ruisheng Su, Ezequiel de la Rosa, Leonhard Rist, Ewout Heylen, Frank te Nijenhuis, Danny Ruijters, Markus D. Schirmer, Richard McKinley, Susanne Wegener, Roland Wiest, Theo van Walsum (ed.): Image Analysis in Stroke Diagnosis and Interventions, Cham: 2025
DOI: 10.1007/978-3-031-81101-2_4
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2024
Journal Articles
Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm – a single centre retrospective study
In: International Journal of Cardiovascular Imaging (2024)
ISSN: 1569-5794
DOI: 10.1007/s10554-024-03222-8
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Conference Contributions
Segmentation of Acute Ischemic Stroke in Native and Enhanced CT using Uncertainty-aware Labels
German Conference on Medical Image Computing, BVM 2024 (Erlangen, March 10, 2024 - March 12, 2024)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024. BVM 2024, Wiesbaden: 2024
DOI: 10.1007/978-3-658-44037-4_72
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2023
Conference Contributions
Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning
2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Pittsburgh, October 15, 2023 - October 18, 2023)
In: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023
DOI: 10.1109/BHI58575.2023.10313401
URL: https://www.mad.tf.fau.de/files/2023/12/vorberg_pflueger23_stress_coping_nightly_hr.pdf
BibTeX: Download
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Detection of Pulmonary Embolisms in NCCT Data Using nnDetection
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, July 2, 2023 - July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_28
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Lectures
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Students Theses
Student | Title | Type | Status |
---|---|---|---|
Xingjian Kang | Leveraging Large Language Models for Scanner-Compatible CT Protocol Generation | MA thesis | running |
Zeinab Aliakbari Mamaghani | Advanced LLM Prompting for Patient-Tailored CT Protocol Adjustment | MA thesis | running |
Jan Geier | ISLES Challenge 2024: Infarct segmentation from CT images | Project | running |