Linda Vorberg, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room 09.157
Martensstr. 3
91058 Erlangen

Phone number: +49 9131 85-27891
Fax number: +49 9131 85-27270
Email: linda.vorberg@fau.de
Website: https://lme.tf.fau.de/person/vorberg/

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”

No projects found.

2026

Conference Contributions

Kang X., Vorberg L., Maier A., Katzmann A., Taubmann O.:
Scan-Do Attitude: Towards Autonomous CT Protocol Management Using a Large Language Model Agent
1st International Workshop on Agentic AI for Medicine, Agentic AI 2025, 1st International Workshop on Clinical-Driven Robotics and Embodied AI Technology, CREATE 2025, and 1st International Workshop on Multimodal Large Language Models in Clinical Practice, CMLLMs 2025, Held in Conjunction with the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 (Daejeon, September 23, 2025 - September 27, 2025)
In: Jianing Qiu, Jinlin Wu, Curtis Langlotz, Baoru Huang, Zhen Lei, Honghan Wu, Hongbin Liu, Weidi Xie (ed.): Lecture Notes in Computer Science 2026
DOI: 10.1007/978-3-032-06004-4_5
BibTeX: Download

2025

Conference Contributions

Vorberg L., Rist L., Ditt H., Maier A., Taubmann O.:
Leveraging Last-Known-Well Times for Radiomics-Based Stroke Onset Estimation from Non-contrast CT
5th International Workshop SWITCH 2025 (Daejeon, September 23, 2025 - September 23, 2025)
In: Image Analysis in Stroke Diagnosis and Interventions, Cham: 2025
DOI: 10.1007/978-3-032-07945-9_6
BibTeX: Download
Vorberg L., Ditt H., Sühling M., Maier A., Murray N., Nicolaou S., Taubmann O.:
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
Vorberg L., Ditt H., Sühling M., Maier A., Murray N., Nicolaou S., Taubmann O.:
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
BibTeX: Download

2024

Journal Articles

Hagen F., Vorberg L., Thamm F., Ditt H., Maier A., Brendel JM., Ghibes P., Bongers MN., Krumm P., Nikolaou K., Horger M.:
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
BibTeX: Download

Conference Contributions

Vorberg L., Taubmann O., Ditt H., Maier A.:
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
BibTeX: Download

2023

Conference Contributions

Vorberg L., Pflüger S., Richer R., Jäger K., Küderle A., Rohleder N., Eskofier B.:
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
Vorberg L., Thamm F., Ditt H., Horger M., Hagen F., Maier A.:
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
BibTeX: Download

No matching records found.

Student	Title	Type	Status
	End-to-end DL-based Stroke Onset Time Estimation	MA thesis	running
Zeineb Azouzi	Automatic Patient Registration via DL–Based Landmark Detection On MRI Localizer Images	MA thesis	running
Zeineb Azouzi	Automated Patient Positioning (MRI) using nnUNet	Project	finished
Xingjian Kang	Leveraging Large Language Models for Scanner-Compatible CT Protocol Generation	MA thesis	finished
Zeinab Aliakbari Mamaghani	Advanced LLM Prompting for Patient-Tailored CT Protocol Adjustment	MA thesis	finished
Jan Geier	ISLES Challenge 2024: Infarct segmentation from CT images	Project	finished