Kai Packhäuser
Kai Packhäuser, M. Sc.
Researcher
Martensstr. 3
91058 Erlangen
Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)
Martensstr. 3
91058 Erlangen
- Phone number: +49 9131 85-20281
- Fax number: +49 9131 85-27270
- Email: kai.packhaeuser@fau.de
- Website: https://lme.tf.fau.de/person/packhaeuser/
Academic CV
- Since 01/2021:
Ph.D. Student at the Pattern Recognition Lab, Friedrich-Alexander Universität Erlangen-Nürnberg - 04/2018 – 12/2020:
M. Sc. in Medical Engineering, Friedrich-Alexander Universität Erlangen-Nürnberg - 02/2019 – 06/2019:
Erasmus semester, Universidad Politécnica de Madrid (ETSIT) - 10/2014 – 11/2017:
B. Sc. in Medical Engineering, Friedrich-Alexander Universität Erlangen-Nürnberg
Projects
No projects found.
Publications
2023
Conference Contributions
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Abstract: Is Medical Chest X-ray Data Anonymous?
German Workshop on Medical Image Computing (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_44
BibTeX: Download - , , , , :
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy
International Conference on Medical Image Computing and Computer-Assisted Intervention – MICCAI 2023 (Vancouver, October 8, 2023 - October 12, 2023)
In: Greenspan H, Madabhushi A, Mousavi P, Salcudean S, Duncan J, Syeda-Mahmood T, Taylor R (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Cham: 2023
DOI: 10.1007/978-3-031-43898-1_26
BibTeX: Download - , , , :
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (Cartagena, Colombia, April 18, 2023 - April 21, 2023)
In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) 2023
DOI: 10.1109/ISBI53787.2023.10230346
BibTeX: Download - , , , , :
Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (Cartagena, Colombia, April 18, 2023 - April 21, 2023)
In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) 2023
DOI: 10.1109/ISBI53787.2023.10230424
BibTeX: Download
2022
Journal Articles
- , , , , , :
Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data
In: Scientific Reports 12 (2022), Article No.: 14851
ISSN: 2045-2322
DOI: 10.1038/s41598-022-19045-3
BibTeX: Download
Lectures
No matching records found.
Student Theses
| Student | Title | Type | Status |
|---|---|---|---|
| Uttam Asodariya | Large Language Model for Generation of Structured Medical Report from X-ray Transcriptions | MA thesis | running |
| Elisabeth Gabler | Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning | Project | finished |
| Daniel Mosig | Analysis of Federated Learning Approaches for Training Thoracic Abnormality Classification Systems | MA thesis | finished |
| Elisabeth Gabler | Fetal Re-Identification: Deep Learning on Pregnancy Ultrasound Images | BA thesis | finished |
| Ankitha Rama Krishna Reddy | GAN-based Synthetic Chest X-ray Generation for Training Lung Disease Classification Systems | MA thesis | finished |
| Jia-Wei Wang | Transfer Learning for Re-identification on Chest Radiographs | Project | finished |