Effects of Low-Rank Constraints, Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation (bibtex)
by V. Golkov, T. Sprenger, A. Menini, M.I. Menzel, D. Cremers and J.I. Sperl
Reference:
Effects of Low-Rank Constraints, Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation (V. Golkov, T. Sprenger, A. Menini, M.I. Menzel, D. Cremers and J.I. Sperl), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2013. 
Bibtex Entry:
@inproceedings{Golkov-et-al-esmrmb13-comparison,
 author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl},
 title = {Effects of Low-Rank Constraints, Line-Process Denoising, and {q}-Space Compressed Sensing on Diffusion {MR} Image Reconstruction and Kurtosis Tensor Estimation},
 booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
 year = {2013},
 keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
 award = {Oral Presentation},
}
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Effects of Low-Rank Constraints, Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation (bibtex)
Effects of Low-Rank Constraints, Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation (bibtex)
by V. Golkov, T. Sprenger, A. Menini, M.I. Menzel, D. Cremers and J.I. Sperl
Reference:
Effects of Low-Rank Constraints, Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation (V. Golkov, T. Sprenger, A. Menini, M.I. Menzel, D. Cremers and J.I. Sperl), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2013. 
Bibtex Entry:
@inproceedings{Golkov-et-al-esmrmb13-comparison,
 author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl},
 title = {Effects of Low-Rank Constraints, Line-Process Denoising, and {q}-Space Compressed Sensing on Diffusion {MR} Image Reconstruction and Kurtosis Tensor Estimation},
 booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
 year = {2013},
 keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
 award = {Oral Presentation},
}
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members:golkov

Dr. Vladimir Golkov

Postdoctoral ResearcherTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17777
Fax: +49-89-289-17757
Office: 02.09.061
Mail: vladimir.golkov@tum.de

Students who did projects under my supervision went on to become PhD students of Prof. Cremers, Prof. Navab, Prof. Rost, Prof. Nießner, Prof. Haddadin, Prof. Precup, Prof. Razansky, Prof. Ntziachristos (with Prof. van der Smagt), Prof. Griffin & Prof. Kleinberg, Prof. Van Gool, Prof. Schindler, Prof. Liò, Prof. Theis, and others.

Quick links: C++, Matlab (without password), Python, NumPy, best coding practices, software craftsmanship, student projects, mathematical image processing (free access through TUM), proximal algorithms, biology, literature network 1 2, research and scientific writing 1 2 3, thesis guide, soft skills manual for students, TUM Career Guide for International Students, TUM Career Manual, PhD scholarships 1 2 3 4 etc., conferences, Ten Simple Rules series

Grant support: Deutsche Telekom Foundation