research
∙
08/15/2023
CMISR: Circular Medical Image Super-Resolution
Classical methods of medical image super-resolution (MISR) utilize open-...
share
research
∙
01/20/2023
CSwin2SR: Circular Swin2SR for Compressed Image Super-Resolution
Closed-loop negative feedback mechanism is extensively utilized in autom...
research
∙
07/19/2022
ICRICS: Iterative Compensation Recovery for Image Compressive Sensing
Closed-loop architecture is widely utilized in automatic control systems...
research
∙
06/08/2022
Binary Single-dimensional Convolutional Neural Network for Seizure Prediction
Nowadays, several deep learning methods are proposed to tackle the chall...
research
∙
02/25/2022
Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge Distillation
Objective. Deep neural networks (DNN) have shown unprecedented success i...
research
∙
10/26/2021
C^2SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction
Recent development in brain-machine interface technology has made seizur...
research
∙
08/17/2021
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction
An accurate seizure prediction system enables early warnings before seiz...
research
∙
06/29/2021
Cascade Decoders-Based Autoencoders for Image Reconstruction
Autoencoders are composed of coding and decoding units, hence they hold ...
research
∙
05/05/2021
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction
Accurate prediction of epileptic seizures allows patients to take preven...
research
∙
02/25/2021
