Accurately measuring the evolution of Multiple Sclerosis (MS) with magne...
Training an image captioner without annotated image-sentence pairs has g...
The success of automated medical image analysis depends on large-scale a...
Accurate segmentation of pulmonary airways and vessels is crucial for th...
The adversarial methods showed advanced performance by producing synthet...
AI-enhanced segmentation of neuronal boundaries in electron microscopy (...
Diffusion Weighted Imaging (DWI) is an advanced imaging technique common...
Deep learning-based segmentation methods have been widely employed for
a...
Unsupervised domain adaptation (UDA) methods have been broadly utilized ...
Federated learning (FL) has been widely employed for medical image analy...
Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...
Instance segmentation is an important task for biomedical image analysis...