Leonhard Rist
Leonhard Rist, 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: leonhard.rist@fau.de
- Website: https://lme.tf.fau.de/person/rist/
- Since 02/2021:
PhD Student at the Pattern Recognition Lab, FAU Erlangen-Nürnberg in cooperation with Siemens Healthineers AG, Forchheim
Research Topic: Cerebral vasculature analysis for Computed Tomography - 04/2018 – 01/2021:
Master’s Degree in Medical Engineering with focus on Medical Imaging and Data Processing, FAU Erlangen-Nürnberg
Master’s Thesis: “Geometric Deep Learning for Multifocal Diseases” - 10/2014 – 03/2018:
Bachelor’s Degree in Medical Engineering with focus on Imaging Systems, FAU Erlangen-Nürnberg
Bachelor’s Thesis: “A Flexible Calibration Phantom for FD-CT using Cross-Ratios”
No projects found.
Collaboration with Siemens Healthineers for the analysis and visualization of brain vasculature in CTA scans
2022
Unpublished Publications
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An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes
(2022)
Open Access: https://arxiv.org/pdf/2204.12333.pdf
URL: https://arxiv.org/abs/2204.12333
BibTeX: Download - , , , , , , , :
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection (Conference contribution, accepted)
International Conference on Medical Image Computing and Computer Assisted Interventions (Singapore, September 18, 2022 - September 22, 2022)
URL: https://arxiv.org/pdf/2205.02848.pdf
BibTeX: Download
2021
Miscellaneous
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Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors
(2021)
BibTeX: Download
(Conference report)
2018
Conference Contributions
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Projective Invariants for Geometric Calibration in Flat-Panel Computed Tomography
Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Salt Lake City, UT, United States)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Aichert18-PIF.pdf
BibTeX: Download
Übung (UE)
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Deep Learning Exercises
This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again. Information regarding the online teaching will be added to the studon course
Vorlesung (VORL)
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Deep Learning
Information regarding the online teaching will be added to the studon course
The following lectures are recommended:
- Introduction to Pattern Recognition (IntroPR)
- Pattern Recognition (PR)
| Student | Title | Type | Status |
|---|---|---|---|
| Ibrahim Maniaa | Fully Automated Segmentation of Subcutaneous Fat in CT Images | MA thesis | running |
| Eduard Reger | Modeling of Randomized Cerebrovascular Trees for Artifical Data Generation using Blender | MA thesis | running |
| Antonia Popp | Thrombus detection using nnDetection | Project | finished |
| Tasnim Nova | Post-Processing of DTF-Skeletonizations | Project | running |
| Jad Kassam | Detection of Large Vessel Occlusions using Graph Deep Learning | MA thesis | finished |