Leonhard Rist
Leonhard Rist, M. Sc.
- 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Unpublished Publications
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
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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
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2021
Miscellaneous
Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors
(2021)
BibTeX: Download
(Conference report)
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2018
Conference Contributions
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
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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 |