Contrastive learning based vision-language joint pre-training has emerge...
Deep learning-based image segmentation and detection models have largely...
Medical image quality assessment (MIQA) is a vital prerequisite in vario...
Weakly-supervised learning (WSL) has been proposed to alleviate the conf...
Self-supervised learning (SSL) has been widely applied to learn image
re...
Convolutional neural networks have been widely applied to medical image
...
Contrast-enhanced T1 (T1ce) is one of the most essential magnetic resona...
Multi-modal magnetic resonance (MR) imaging provides great potential for...
Unsupervised domain adaptation has been proposed recently to tackle the
...
Various deep learning models have been developed to segment anatomical
s...
Although deep learning based diabetic retinopathy (DR) classification me...
We innovatively propose a flexible and consistent face alignment framewo...
Manually annotating medical images is extremely expensive, especially fo...
Optical coherence tomography angiography (OCTA) is a novel non-invasive
...