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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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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group