Deep learning and variational analysis for high-dimensional and geometric biomedical data (bibtex)
by V. Golkov
Reference:
Deep learning and variational analysis for high-dimensional and geometric biomedical data (V. Golkov), PhD thesis, Department of Informatics, Technical University of Munich, Germany, 2021. 
Bibtex Entry:
@phdthesis{Golkov-PhDthesis,
 author = {V. Golkov},
 title = {Deep learning and variational analysis for high-dimensional and geometric biomedical data},
 school = {Department of Informatics, Technical University of Munich,
    Germany},
 year = {2021},
 topic = {deep learning, medical imaging, protein structure prediction, neural networks, machine learning, calculus of variations, diffusion MRI, magnetic resonance imaging},
 keywords = {deep learning, medical imaging, protein structure prediction, neural networks, machine learning, calculus of variations, diffusion MRI, magnetic resonance imaging},
}
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Deep learning and variational analysis for high-dimensional and geometric biomedical data (bibtex)
Deep learning and variational analysis for high-dimensional and geometric biomedical data (bibtex)
by V. Golkov
Reference:
Deep learning and variational analysis for high-dimensional and geometric biomedical data (V. Golkov), PhD thesis, Department of Informatics, Technical University of Munich, Germany, 2021. 
Bibtex Entry:
@phdthesis{Golkov-PhDthesis,
 author = {V. Golkov},
 title = {Deep learning and variational analysis for high-dimensional and geometric biomedical data},
 school = {Department of Informatics, Technical University of Munich,
    Germany},
 year = {2021},
 topic = {deep learning, medical imaging, protein structure prediction, neural networks, machine learning, calculus of variations, diffusion MRI, magnetic resonance imaging},
 keywords = {deep learning, medical imaging, protein structure prediction, neural networks, machine learning, calculus of variations, diffusion MRI, magnetic resonance imaging},
}
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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