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Registration of ultrasonic cardiac images
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005We describe an efficient approach to the registration problem of ultrasonic cardiac images using an affine transformation model, incorporating a mutual information based error minimisation. The affine motion model provides an analytic solution which has fast and stable convergence.
Tangwei, Liu +4 more
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Image Registration by “Super-Curves”
IEEE Transactions on Image Processing, 2004We solve the 2-D affine image registration problem by curve matching and alignment. Our approach starts with a super-curve, which is formed by superimposing two affine related curves in one coordinate system. We use B-spline fusion technique to find a single B-spline approximation of the super-curve and a registration between the two curves ...
Minghui, Xia, Bede, Liu
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Automated molecular-image cytometry and analysis in modern oncology
Nature Reviews Materials, 2020Ralph Weissleder, Hakho Lee
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nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Nature Methods, 2020Fabian Isensee +2 more
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Ultrafast machine vision with 2D material neural network image sensors
Nature, 2020Lukas Mennel +2 more
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