Recently proliferated semantic communications (SC) aim at effectively
tr...
Deployment of Deep Neural Networks in medical imaging is hindered by
dis...
Deep neural networks have shown impressive performance for image-based
d...
This paper presents an effective and general data augmentation framework...
The field of education has undergone a significant transformation due to...
Machine learning models fail to perform well on real-world applications ...
To date few studies have comprehensively compared medical image registra...
Class imbalance poses a challenge for developing unbiased, accurate
pred...
Overfitting in deep learning has been the focus of a number of recent wo...
Quantitative assessment of left ventricle (LV) function from cine MRI ha...