Joshua Scheuplein
Joshua Scheuplein
Research Topic: Metal Artifact Avoidance in Intraoperative CBCT Imaging
Research Group: Inverse Problems and Applications
Cooperation Partner: Siemens Healthineers AG, Forchheim
Academic CV
- Since 02/2025:
PhD candidate at the Pattern Recognition Lab in cooperation with Siemens Healthineers
Topic: “Metal Artifact Avoidance (MAA) in Intraoperative Cone-Beam CT (CBCT) Imaging” - 10/2022 – 01/2025:
Master of Science, Advanced Signal Processing and Communications Engineering (ASC)
Master’s Thesis: “Development of a Foundational Feature Extraction Model for Medical X-Ray Images” - 10/2018 – 09/2022:
Bachelor of Science, Elektrotechnik – Elektronik – Informationstechnik (EEI)
Bachelor’s Thesis: “Analysis of ECG-derived Respiration for Use in Transcutaneous Vagus Nerve Stimulation (tVNS) Device”
Student Theses
Open Projects:
Implant Object Detection in Intraoperative X-Ray Images
Student | Type | Title | Status |
---|---|---|---|
Maeen Alikarrar | Master Thesis | Towards Domain Adaptation of Foundational Models in Medical Imaging | running |
Anindya Banerjee | Master Thesis | Deep Learning-based Classification of Body Regions in Intraoperative X-Ray Images | running |
Shadi Khamseh | Master Thesis | Development of an AI-Based Algorithm for the Correction of Moiré Artifacts in Digital Radiography | running |
Anne Leipertz | Master Thesis | Deep Learning-based Orientation Estimation in Intraoperative X-Ray Images | running |
Publications
No publications found.