Detectingandsegmentingobjectswithinwholeslideimagesis essential in
compu...
In document-level event extraction (DEE) task, event arguments always sc...
Virtual Reality (VR) technology has been shown to achieve remarkable res...
3D teeth reconstruction from X-ray is important for dental diagnosis and...
Deep learning models are notoriously data-hungry. Thus, there is an urgi...
Building a socially intelligent agent involves many challenges, one of w...
Convolutional networks (ConvNets) have achieved promising accuracy for
v...
Patient's understanding on forthcoming dental surgeries is required by
p...
The ability of deep learning to predict with uncertainty is recognized a...
Conversational Intelligence requires that a person engage on information...
Inducing a meaningful structural representation from one or a set of
dia...
Federated learning (FL) is a new machine learning paradigm, the goal of ...
Panoramic X-ray and Cone Beam Computed Tomography (CBCT) are two of the ...
Existing deep learning methods depend on an encoder-decoder structure to...
Due to a lack of medical resources or oral health awareness, oral diseas...
Due to a lack of medical resources or oral health awareness, oral diseas...
Label propagation is a popular technique for anatomical segmentation. In...
We investigate the problem of last-mile delivery, where a large pool of
...