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Machine Learning Approaches for Deformable Image Registration

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Marc Niethammer (University of North Carolina )
Thursday 16 November 2017, 16:00-16:45
Seminar Room 1, Newton Institute.

If you have a question about this talk, please contact INI IT .

GFSW03 - Shape analysis and computational anatomy

Image registration is a key tool for medical image analysis. This talk will cover some recent machine learning approaches for deformable image registration.

This talk is part of the Isaac Newton Institute Seminar Series series.

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Abstract

Image registration is a key tool for medical image analysis. This talk will cover some recent machine learning approaches for deformable image registration.

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Machine Learning Approaches for Deformable Image Registration

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Machine Learning Approaches for Deformable Image Registration

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Machine Learning Approaches for Deformable Image Registration

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Machine Learning Approaches for Deformable Image Registration

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