q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis (bibtex)
by V. Golkov, A. Vasilev, F. Pasa, I. Lipp, W. Boubaker, E. Sgarlata, F. Pfeiffer, V. Tomassini, D. K. Jones and D. Cremers
Reference:
q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis (V. Golkov, A. Vasilev, F. Pasa, I. Lipp, W. Boubaker, E. Sgarlata, F. Pfeiffer, V. Tomassini, D. K. Jones and D. Cremers), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018. 
Bibtex Entry:
@inproceedings{Golkov-et-al-ismrm2018-novelty,
 author = {V. Golkov and A. Vasilev and F. Pasa and I. Lipp and W. Boubaker and E. Sgarlata and F. Pfeiffer and V. Tomassini and D. K. Jones and D. Cremers},
 title = {{q-Space} Novelty Detection in Short Diffusion {MRI} Scans of Multiple Sclerosis},
 year = {2018},
 booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
 keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation},
}
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q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis (bibtex)
q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis (bibtex)
by V. Golkov, A. Vasilev, F. Pasa, I. Lipp, W. Boubaker, E. Sgarlata, F. Pfeiffer, V. Tomassini, D. K. Jones and D. Cremers
Reference:
q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis (V. Golkov, A. Vasilev, F. Pasa, I. Lipp, W. Boubaker, E. Sgarlata, F. Pfeiffer, V. Tomassini, D. K. Jones and D. Cremers), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018. 
Bibtex Entry:
@inproceedings{Golkov-et-al-ismrm2018-novelty,
 author = {V. Golkov and A. Vasilev and F. Pasa and I. Lipp and W. Boubaker and E. Sgarlata and F. Pfeiffer and V. Tomassini and D. K. Jones and D. Cremers},
 title = {{q-Space} Novelty Detection in Short Diffusion {MRI} Scans of Multiple Sclerosis},
 year = {2018},
 booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
 keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation},
}
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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