Linda Vorberg - Pattern Recognition Lab

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Pattern Recognition Lab PRL

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/

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

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

Lectures

No matching records found.

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