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Jia Yi Lim et al.
ACTA ONCOLOGICA (2016)
Evaluation and optimization of the parameters used in multiple-atlas-based segmentation of prostate cancers in radiation therapy
Wicger K. H. Wong et al.
BRITISH JOURNAL OF RADIOLOGY (2016)
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Gregory Delpon et al.
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Abdel Aziz Taha et al.
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Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
Geert Litjens et al.
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Gregory Sharp et al.
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Floris F. Berendsen et al.
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The need for application-based adaptation of deformable image registration
Neil Kirby et al.
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Valerio Fortunati et al.
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David N. Teguh et al.
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Arish A. Qazi et al.
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A review of methods of analysis in contouring studies for radiation oncology
Michael G. Jameson et al.
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Evaluation of an intensity-based free-form deformable registration algorithm
J. Piper
MEDICAL PHYSICS (2007)