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q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans (bibtex)
by V. Golkov, A. Dosovitskiy, P. Sämann, J. I. Sperl, T. Sprenger, M. Czisch, M. I. Menzel, P. A. Gómez, A. Haase, T. Brox and D. Cremers
Reference:
q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans (V. Golkov, A. Dosovitskiy, P. Sämann, J. I. Sperl, T. Sprenger, M. Czisch, M. I. Menzel, P. A. Gómez, A. Haase, T. Brox and D. Cremers), In Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015.
Bibtex Entry:
@string{miccai="Medical Image Computing and Computer Assisted Intervention (MICCAI)"}
@inproceedings{Golkov-et-al-miccai2015-qDL,
author = {V. Golkov and A. Dosovitskiy and P. Sämann and J. I. Sperl and T. Sprenger and M. Czisch and M. I. Menzel and P. A. Gómez and A. Haase and T. Brox and D. Cremers},
title = {{q-Space} Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion {MRI} Scans},
booktitle = {Medical Image Computing and Computer Assisted Intervention (MICCAI)},
month = {oct},
year = {2015},
address = {Munich, Germany},
keywords = {magnetic resonance imaging, diffusion MRI, deep learning, q-space deep learning, machine learning, model-free diffusion MRI, segmentation, medical imaging, deep learning},
}
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