Fasil Gadjimuradov, 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 27826
- Fax number: +49 9131 85 27270
- Email: fasil.gadjimuradov@fau.de
- Website: https://lme.tf.fau.de/person/gadjimuradov/
- Since 06/2019:
PhD candidate, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg
“Deep learning-based reconstruction for abdominopelvic MRI“ - 04/2016 – 04/2019:
M.Sc. in Medical Engineering, Friedrich-Alexander University Erlangen-Nürnberg
Thesis: “Concept and realization of a flexible trajectory generator with data completeness analysis for medical C-arm robotic systems” - 09/2017 – 02/2018:
Research semester at Osaka University, Japan
“Visualizing real-world tennis ball trajectories in Virtual Reality (VR) and assessment of benefits for training” - 09/2012 – 03/2016:
B.Sc. in Medical Engineering, Koblenz University of Applied Sciences
Thesis: “Methodical comparison of MRI and Bioelectrical Impedance Analysis (BIA) with respect to in-vivo fat quantification”
No projects found.
2020
Conference Contributions
- , , , , , :
Deep Learning-based Partial Fourier Reconstruction for Improved Prostate DWI
International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition (Paris, August 8, 2020 - August 14, 2020)
URL: https://index.mirasmart.com/ISMRM2020/PDFfiles/4351.html
BibTeX: Download - , , , :
Deep Recurrent Partial Fourier Reconstruction in Diffusion MRI
3rd International Workshop on Machine Learning for Medical Image Reconstruction, MLMIR 2020, held in conjunction with the 23rd Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 (Lima, October 8, 2020 - October 8, 2020)
In: Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-61598-7_4
BibTeX: Download
| Type | Title | Status |
|---|---|---|
| MA thesis | Deep Learning-based motion correction of free-breathing diffusion-weighted imaging in the abdomen | running |