Fasil Gadjimuradov - Pattern Recognition Lab

Fasil Gadjimuradov, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room 09.158
Martensstr. 3
91058 Erlangen

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.

Gadjimuradov F., Benkert T., Nickel MD., Maier A.:
Partial Fourier Reconstruction in Liver DWI using a Recurrent Convolutional Network
ISMRM & SMRT Annual Conference & Exhibition (Virtual, May 15, 2021 - May 20, 2021)
BibTeX: Download
Gadjimuradov F., Benkert T., Nickel MD., Maier A.:
Deep Learning-based Adaptive Image Combination for Signal-Dropout Suppression in Liver DWI
ISMRM & SMRT Annual Conference & Exhibition (Virtual, May 15, 2021 - May 20, 2021)
BibTeX: Download

Gadjimuradov F., Yoon SS., Benkert T., Nickel MD., Engelhard K., Maier A.:
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
Gadjimuradov F., Benkert T., Nickel MD., Maier A.:
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 respiratory navigation for abdominal MRI	running
MA thesis	torchsense – a PyTorch-based Compressed Sensing reconstruction framework for dynamic MRI	finished
MA thesis	Deep Learning-based image correction for Diffusion Weighted Imaging sequences	finished
MA thesis	Deep Learning-based motion correction of free-breathing diffusion-weighted imaging in the abdomen	finished