Farid Tasharofi
Chair of Computer Science 5 (Pattern Recognition)
PhD Student
Address
Martensstraße 3
91058 Erlangen
10.134
Contact
Since 02/2025: PhD candidate at the Pattern Recognition Lab, FAU Erlangen-Nürnberg, in collaboration with Siemens Healthineers, Forchheim
Topic: Photon-Counting X-Ray-Based AI Analysis of Atherosclerosis
04/2021 - 01/2025: M.Sc. in Medical Engineering with Focus on Medical Image and Data Processing, FAU Erlangen-Nürnberg
Master’s Thesis: Metal Artifact Reduction in Computed Tomography using Deep Learning Methods
02/2007 - 05/2012: B.Sc. in Electrical Engineering (Control Systems), Azad University
No projects found.
2026
Conference Contributions
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FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 (Daejeon, KOR, September 23, 2025 - September 27, 2025)
In: James C. Gee, Jaesung Hong, Carole H. Sudre, Polina Golland, Jinah Park, Daniel C. Alexander, Juan Eugenio Iglesias, Archana Venkataraman, Jong Hyo Kim (ed.): Lecture Notes in Computer Science 2026
DOI: 10.1007/978-3-032-05169-1_19
BibTeX: Download
2025
Conference Contributions
- , , :
Frequency-Aware Proximal Networks with Fourier Channel Attention for CT Metal Artifact Reduction
2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) (Yokohama, November 1, 2025 - November 8, 2025)
DOI: 10.1109/NSS/MIC/RTSD57106.2025.11287516
BibTeX: Download
Current Theses & Projects
| Title | Type | Student | Period | Status |
|---|---|---|---|---|
| Synthetic Data Generation and Deep Learning-Based Object Detection and Segmentation for Interventional Devices in Cardiac and Neurovascular Fluoroscopy | MA thesis | Mersad Shoaei Taklimi | Mar 2026 – Sep 2026 | running |
Completed Theses & Projects
| Title | Type | Student | Period | Status |
|---|---|---|---|---|
| Intracranial Aneurysm Detection Across Multiple Imaging Modalities Using Deep Learning | MA thesis | Helia Ahmadiasl | Dec 2025 – Jun 2026 | finished |