Powered ankle prostheses effectively assist people with lower limb amput...
Self-supervised pretraining attempts to enhance model performance by
obt...
Multi-center positron emission tomography (PET) image synthesis aims at
...
Large-scale visual-language pre-trained models (VLPM) have proven their
...
Nuclei instance segmentation on histopathology images is of great clinic...
Potential radioactive hazards in full-dose positron emission tomography ...
Hispathological image segmentation algorithms play a critical role in
co...
Automatic methods to segment the vestibular schwannoma (VS) tumors and t...
Domain Adaptation (DA) has recently raised strong interests in the medic...
Automatic methods to segment the vestibular schwannoma (VS) tumors and t...
We propose an atlas-based method to segment the intracochlear anatomy (I...
The visual attributes of cells, such as the nuclear morphology and chrom...
We propose a registration algorithm for 2D CT/MRI medical images with a ...
This paper proposes a practical approach for automatic sleep stage
class...
This paper proposes a multi-level feature learning framework for human a...
Objective: A new image instance segmentation method is proposed to segme...