Fasil Gadjimuradov
Fasil Gadjimuradov, M. Sc.
Academic CV
- 06/2019 – 12/2023:
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”
Projects
No projects found.
Publications
2023
Conference Contributions
Unsupervised denoising of prostate DWI
ISMRM
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2022
Journal Articles
Deep Learning-Guided Weighted Averaging for Signal Dropout Compensation in DWI of the Liver
In: Magnetic Resonance in Medicine (2022)
ISSN: 0740-3194
DOI: 10.1002/mrm.29380
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Book Contributions
Towards Super-resolution CEST MRI for Visualization of Small Structures
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, ThomasTolxdorff (ed.): Bildverarbeitung für die Medizin 2022, Wiesbaden: Springer Vieweg, 2022, p. 210-215 (Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26–28, 2022)
ISBN: 978-3-658-36932-3
DOI: 10.1007/978-3-658-36932-3_45
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Conference Contributions
Deep Learning-Based Respiratory Motion Correction in Free-Breathing Abodiminal Diffusion-Weighted Imaging
Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (London, May 7, 2022 - May 12, 2022)
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Efficient Exploitation of Image Repetitions in MR Reconstruction
Medical Imaging with Deep Learning (Zürich)
Open Access: https://openreview.net/forum?id=7CnEuy4_Iwv
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Fully automated Machine Learning-based selection of optimal bSSFP frequency offset for artifact reduction in cardiac MRI
Artificial Intelligence in Cardiovascular Magnetic Resonance Imaging - A Joint Summit of the EACVI and SCMR (London, May 5, 2022 - May 6, 2022)
DOI: 10.1093/ehjci/jeac141.016
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Super-Resolution for CEST MRI
Joint annual meeting ISMRM-ESMRMB ISMRT (London, England, May 7, 2022 - May 12, 2022)
URL: https://submissions.mirasmart.com/ISMRM2022/itinerary/PresentationDetail.aspx?evdid=3032
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2021
Journal Articles
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network
In: Magnetic Resonance in Medicine (2021)
ISSN: 0740-3194
DOI: 10.1002/mrm.29100
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Conference Contributions
Partial Fourier Reconstruction in Liver DWI using a Recurrent Convolutional Network
ISMRM & SMRT Annual Conference & Exhibition (Virtual, May 15, 2021 - May 20, 2021)
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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)
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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
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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
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Theses
Type | Title | Status |
---|---|---|
MA thesis | Deep Learning Reconstruction for Accelerated Water-Fat Magnetic Resonance Imaging | finished |
MA thesis | Deep learning-based respiratory navigation for abdominal MRI | finished |
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 |