Lukas Buess
Lukas Buess, 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 85-27775
- Fax number: +49 9131 85-27270
- Email: lukas.buess@fau.de
- Website: https://lme.tf.fau.de/person/lubuess
Academic CV
- Since 03/2024:
Ph.D. Student at the Pattern Recognition Lab, Friedrich-Alexander Universität Erlangen-Nürnberg
Topic: “Multimodal Reporting in Radiology” - 10/2020-03/2024:
M.Sc. in Biomedical Computing, Technical University of Munich
Master’s Thesis: “Domain-specific Self-Supervised Pretraining for Vertebral Body Diagnosis” - 09/2016-10/2020:
B.Eng. in Medical Technologies, Pforzheim University
Bachelor’s Thesis: “Classification of Cells using Active Learning”
Projects
No projects found.
Publications
2024
Conference Contributions
- , , , , , , , :
Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis
International Conference on Medical Imaging with Deep Learning (MIDL) 2024 (Paris, July 3, 2024 - July 5, 2024)
In: Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupe, Hervé Delingette, Carole Lartizien, Diana Mateus (ed.): Proceedings of MIDL 2024 2024
Open Access: https://openreview.net/pdf?id=shuwpLaOJP
URL: https://proceedings.mlr.press/v250/
BibTeX: Download
Thesis Supervision
| Type | Title | Status |
|---|---|---|
| MA thesis | Master Thesis – Annotation by Speech in Radiology | running |
| MA thesis | Utilizing LLMs for medication data annotation in german medical texts | running |
| MA thesis | Deep-learning based Long-tailed multi label disease classification | running |