Whole slide image (WSI) classification is a fundamental task for the
dia...
For in-building networks, the potential of transparent antennas, which a...
Few-shot classification is a challenging problem that aims to learn a mo...
In this article, we discuss the potential of radio frequency (RF) lens f...
Few shot segmentation (FSS) aims to learn pixel-level classification of ...
Classification models trained on biased datasets usually perform poorly ...
Non-rigid registration is a necessary but challenging task in medical im...
Recently, Self-supervised learning methods able to perform image denoisi...
Following the pandemic outbreak, several works have proposed to diagnose...
Segmentation of organs of interest in 3D medical images is necessary for...
In fifth-generation (5G) communication, the RF lens antenna is introduce...
Brain-Computer Interfaces (BCI) based on Electroencephalography (EEG)
si...
Quantification of cerebral white matter hyperintensities (WMH) of presum...
Facial expressions are one of the most powerful, natural and immediate m...