Accurate tissue segmentation of thick-slice fetal brain magnetic resonan...
Accurately localizing and identifying vertebrae from CT images is crucia...
Teeth localization, segmentation, and labeling from intra-oral 3D scans ...
The potential of integrating Computer-Assisted Diagnosis (CAD) with Larg...
Mammographic image analysis is a fundamental problem in the computer-aid...
Cone Beam Computed Tomography (CBCT) is the most widely used imaging met...
Cone beam computed tomography (CBCT) has been widely used in clinical
pr...
In orthodontic treatment, a full tooth model consisting of both the crow...
In clinical practice, a segmentation network is often required to contin...
The pursuit algorithms integrated in multi-layer convolutional sparse co...
Lesion detection is a fundamental problem in the computer-aided diagnosi...
Detecting 3D landmarks on cone-beam computed tomography (CBCT) is crucia...
Well-annotated medical images are costly and sometimes even impossible t...
We propose an unsupervised learning framework with the pretext task of
f...
Learning structures of 3D shapes is a fundamental problem in the field o...