Integrating the brain structural and functional connectivity features is...
In minimally-invasive brain surgeries with indirect and narrow operating...
Brain network analysis is essential for diagnosing and intervention for
...
There are still many challenges of emotion recognition using physiologic...
Glaucoma is the second leading cause of blindness and is the leading cau...
Age-related macular degeneration (AMD) is the leading cause of visual
im...
The diagnosis of early stages of Alzheimer's disease (AD) is essential f...
Alzheimer's disease is characterized by alterations of the brain's struc...
One of the main reasons for Alzheimer's disease (AD) is the disorder of ...
3D shape reconstruction is essential in the navigation of minimally-inva...
Using multimodal neuroimaging data to characterize brain network is curr...
Multimodal neuroimage can provide complementary information about the
de...
Fusing medical images and the corresponding 3D shape representation can
...
In large studies involving multi protocol Magnetic Resonance Imaging (MR...
In this paper, we first present an arc based algorithm for fan-beam comp...
Magnetic resonance imaging plays an important role in computer-aided
dia...
Structural magnetic resonance imaging (MRI) has been widely utilized for...
Recently, the state-of-the-art deep learning methods have demonstrated
i...
In this paper, we first propose a variational model for the limited-angl...
Fusing multi-modality medical images, such as MR and PET, can provide va...
It is of great significance to apply deep learning for the early diagnos...
Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high ...
Magnetic resonance imaging (MRI) provides varying tissue contrast images...
Segmenting overlapping cytoplasm of cells in cervical smear images is a
...
Exploiting more information from ground truth (GT) images now is a new
r...
A CT image can be well reconstructed when the sampling rate of the sinog...
The accurate detection of lesion attributes is meaningful for both the
c...
The magnetic resonance (MR) analysis of brain tumors is widely used for
...
Automated facial expression analysis has a variety of applications in
hu...