12 citations · 16 across the 2 of their papers we have counts for
2 papers
eess.SP2023★ 12 cited
ESTformer: Transformer utilising spatiotemporal dependencies for electroencephalogram super-resolution
Dongdong Li, Zhongliang Zeng, Zhe Wang +1
Towards practical applications of Electroencephalography (EEG), lightweight acquisition devices garner significant attention. However, EEG channel selection methods are commonly da…
cs.LG2022★ 4 cited
Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data
Hai Yang, Yuhang Sheng, Yi Jiang +4
Motivation: Cancer is heterogeneous, affecting the precise approach to personalized treatment. Accurate subtyping can lead to better survival rates for cancer patients. High-throug…