JS

Joshua Scheuplein

Chair of Computer Science 5 (Pattern Recognition)

Research associates

Address

Martensstraße 3 91058 Erlangen

Contact

Research Topic: Metal Artifact Avoidance in Intraoperative CBCT Imaging

Research Group: Inverse Problems and Applications

Cooperation Partner: Siemens Healthineers AG, Forchheim

  • 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 Type Title Status
Maeen
Alikarrar		 Master Thesis Towards Adaptation of Foundational Models for Prompt-Guided X-Ray Image Segmentation finished
Anindya
Banerjee		 Master Thesis Deep Learning-Based Classification of Body Regions in Intraoperative X-Ray Images finished
Shadi
Khamseh		 Master Thesis Gridline Suppression in X-Ray Imaging Using Global Feature-Augmented U-Nets finished
Anne
Leipertz		 Master Thesis Estimation of Patient and Mobile C-Arm Orientation in Intraoperative CBCT Imaging running
Arash
Mousavi		 Master Thesis Development of a Foundation Model for Real-Time Applications in Interventional X-Ray Imaging running
Tobias
Riß		 Master Thesis Prediction of CBCT Image Quality based on Fluoro Scout Images running
Maximilian
Rittler		 Master Thesis Investigating DETR Architectures as Implant Detection Model for Metal Artifact Avoidance Application running
Mersad
Taklimi		 Master Thesis Synthetic Data Generation and Deep Learning-Based Object Detection and Segmentation for Interventional Devices in Cardiac and Neurovascular Fluoroscopy running
Michael
Weig		 Master Thesis Deep Learning-Based Landmark Detection for Intraoperative Femoral Antetorsion Estimation running
Yang
Yuan		 Master Thesis Evaluation of One-Stage Object Detectors for Implant Detection in Intraoperative CBCT Projection Images running


2026

Conference Contributions