Self-supervised monocular depth estimation methods typically rely on the...
Recent text-to-image diffusion models have demonstrated an astonishing
c...
The problem of how to assess cross-modality medical image synthesis has ...
Federated learning enables multiple hospitals to cooperatively learn a s...
Click-based interactive segmentation (IS) aims to extract the target obj...
Efficient detectors for edge devices are often optimized for metrics lik...
Transformer has achieved impressive successes for various computer visio...
During X-ray computed tomography (CT) scanning, metallic implants carryi...
Reinforcement Learning (RL)-based control system has received considerab...
Accurate abnormality localization in chest X-rays (CXR) can benefit the
...
The existence of completely aligned and paired multi-modal neuroimaging ...
The existence of completely aligned and paired multi-modal neuroimaging ...
Utilizing the paired multi-modal neuroimaging data has been proved to be...
Semi-supervised learning is a challenging problem which aims to construc...
Semi-supervised learning is a challenging problem which aims to construc...
Recent advances in neuroscience have highlighted the effectiveness of
mu...
Cross-modal image synthesis is a topical problem in medical image comput...
Magnetic Resonance Imaging (MRI) offers high-resolution in vivo
imaging ...