4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CV2019
A 1d convolutional network for leaf and time series classification
Dongyang Kuang
In this paper, a 1d convolutional neural network is designed for classification tasks of plant leaves. This network based classifier is analyzed in two directions. In the forward d…
cs.CV2019★ 4 cited
On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks
Dongyang Kuang
Image registration is a fundamental step in medical image analysis. Ideally, the transformation that registers one image to another should be a diffeomorphism that is both invertib…
cs.CV2018
FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration
Dongyang Kuang, Tanya Schmah
We present a new unsupervised learning algorithm, "FAIM", for 3D medical image registration. With a different architecture than the popular "U-net", the network takes a pair of ful…