Out-of-distribution (OOD) generalization poses a serious challenge for m...
Parkinson's disease is the world's fastest growing neurological disorder...
Deep learning has achieved the state-of-the-art performance across medic...
Alzheimer's Disease (AD) is a progressive neurodegenerative disease and ...
Neural network pruning has been a well-established compression technique...
Model calibration measures the agreement between the predicted probabili...
The diversity of retinal imaging devices poses a significant challenge:
...
Observing retinal fundus images by an ophthalmologist is a major diagnos...
One popular strategy for image denoising is to design a generalized
regu...
While the depth of convolutional neural networks has attracted substanti...
With substantial public concerns on potential cancer risks and health ha...
Recently, deep neural networks have demonstrated comparable and even bet...
In this work, we explore an innovative strategy for image denoising by u...
We explore an innovative strategy for image denoising by using convoluti...