Deep learning (DL) is widely used for MRI reconstruction and leverages significant
promotion. However, the existing DL-based methods still have some weaknesses. First, the …

Epilepsy is one of the common neurological disorders which can cause unprovoked
seizures. Currently, diagnosis and evaluation are carried out using electroencephalogram …

Synthetic Aperture Radar (SAR) is an imaging system based on the processing of radar
echoes. The produced images have a huge amount of data which will be stored onboard or …

Telemedicine technology as a solution to prevent the spread of Covid-19. Tele-radiology for
lung cancer images requires a large bandwidth when the image is transmitted, whereas the …

Introduction: A more modern, extremely applicable method for signal acquisition is
compression sensing. It permits effective data sampling at a rate that is significantly lower …

This work presents a novel unconventional method of signal reconstruction after
compressive sensing. Instead of usual matrices, continuous models are used to describe …

摘要從少量樣本進行重建時, 磁共振成像壓縮應用中的壓縮樣本需要高精度.
磁共振圖像中的稀疏性是壓縮採樣的基本要求. 在本文中, 我們通過在包含有意義信息的低通子 …

3D visualization plays an essential role in medical diagnosis and setting treatment plans
especially for brain cancer. There have been many attempts for brain tumor reconstruction …

Magnetic resonance imaging (MRI) in medical imaging plays a vital role in the clinical
diagnostic. The motivation behind reconstruction of MRI is to reduce the radiation exposure …

A sparse power matrix is a type of two-dimensional data that conveys the amount of electric
power each node, connected to an electric power meter sensor. The need for sensors …