Author

Cai-Li Gong

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Open access Sep 2026

PADA: perturbation-aware differential Riemannian attention for robust motor imagery decoding

Introduction Riemannian geometry models have significantly improved the robustness and performance of EEG-based motor imagery decoding and are better suited to small sample sizes; however, their ability to extract nonlinear and spatiotemporal variability features often falls short of Euclidean-based deep learning metho...

Jian-Xiu Li, Lu-Ao Sha, Xiao-Kai Yan et al. · Frontiers in Neuroscience · 0 citations

Open access Jul 2026

Deep learning for preoperative MRI-based endometrial cancer staging prediction.

The proposed GCMF-UNet and MSFA-Net architectures effectively mitigate limitations of conventional diagnostic and deep learning approaches, offering more accurate lesion segmentation and classification.

Caili Gong, Yetong Qi, Ying Su et al. · Scientific Reports · 0 citations