2 papers
eess.SP2023
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse
Yan Pei, Jiahui Xu, Qianhao Chen +4
Electroencephalography (EEG) signals are easily corrupted by various artifacts, making artifact removal crucial for improving signal quality in scenarios such as disease diagnosis…
eess.IV2023
Streaming Lossless Volumetric Compression of Medical Images Using Gated Recurrent Convolutional Neural Network
Qianhao Chen, Jietao Chen
Deep learning-based lossless compression methods offer substantial advantages in compressing medical volumetric images. Nevertheless, many learning-based algorithms encounter a tra…