This study investigates barely-supervised medical image segmentation whe...
Sparse-view cone-beam CT (CBCT) reconstruction is an important direction...
Developing a deep learning method for medical segmentation tasks heavily...
Segmentation of 3D knee MR images is important for the assessment of
ost...
Federated semi-supervised learning (FSSL) aims to derive a global model ...
Point completion refers to completing the missing geometries of an objec...
Sampling, grouping, and aggregation are three important components in th...
Point completion refers to complete the missing geometries of objects fr...
We introduce FPConv, a novel surface-style convolution operator designed...