Downsampling layers, including pooling and strided convolutions, are cru...
This project aimed to determine the grain size distribution of granular
...
We report on a significant discovery linking deep convolutional neural
n...
This paper proposes to extend local image features in 3D to include
inva...
This work details a highly efficient implementation of the 3D scale-inva...
Subject ID labels are unique, anonymized codes that can be used to group...
We propose a novel pairwise distance measure between variable-sized sets...
We introduce an approach for image segmentation based on sparse
correspo...
This paper proposes a principled information theoretic analysis of
class...