Maximilian Rohleder
Maximilian Rohleder, 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 85-25246
- Fax number: +49 9131 85-27270
- Email: maxi.rohleder@fau.de
- Website: https://lme.tf.fau.de/person/rohleder/
Academic CV
- Since 12/2021 (PhD):
PhD Researcher in Cooperation with Siemens Healthineers, Mobile C-Arms Division, Forchheim- Specialisation: Metal Artefact Avoidance
- 10/2019 – 10/2021 (M.Sc.):
Master of Science, Medical Engineering, FAU, Erlangen- Track: Health- and Medical Data Analytics and Entrepreneurship
- 01/2020 – 10/2021: Working Student @ Siemens Healthineers, Forchheim
- Winter ’20: Erasmus Exchange to Instituto Superior Técnico, Lisbon, Portugal [Link]
- Thesis: Segmentation of Metal Volumes from Cone-Beam CT Projection Data for Metal Artefact Reduction
- Cooperation with Siemens Healthineers, Mobile C-Arms Division, Forchheim
- 10/2016 – 10/2019 (B.Sc.):
Bachelor of Science, Medical Engineering, FAU, Erlangen- Track: Medical Image Processing
- 01/2018 – 01/2019: Working Student @ Methodpark Engineering, Erlangen Tennenlohe
- Summer ’19: Research Visit to Stanford University, Stanford, California
- Thesis: A Deep Learning Approach to Material Decomposition on Dual Energy Computed Tomography Data
- Cooperation with Stanford University, Radiological Sciences Department, Wang Group, California [Link]
Student theses
| Type | Title | Status |
|---|---|---|
| MA thesis | End-to-end detection and 3D localization of implants from multi-view images for surgical CBCT metal artifact avoidance | running |
| MA thesis | Development of an Oriented Bone Detection Algorithm on X-Ray Images | finished |
| Project | Geometric Domain Adaptation for CBCT Segmentation | finished |
| Project | Realistic Simulation of Collimated X-Ray images for Collimator Edge Segmentation using Deep Learning | finished |
| Project | Deep Surgical Navigation | finished |
| BA thesis | Projection Domain Metal Segmentation with Epipolar Consistency using Known Operator Learning | finished |
| MA thesis | Novel X-Ray View Synthesis of Surgical Tools | running |
| MA thesis | Automatic Rotation of Spinal X-Ray Images | finished |
| BA thesis | Cone-Beam CT X-Ray Image Simulation for the Generation of Training Data | finished |