A memristive dual-slope A/D converter. - Le Yang; Zhigang Zeng; Zhansong Ma; Wenqi Shan (Int. J. Circuit Theory Appl., 2020)

Improving the Quality of Sparse-view Cone-Beam Computed Tomography via Reconstruction-Friendly Interpolation Network. - Yanli Wang; Lianying Chao; Wenqi Shan; Haobo Zhang 003; Zhiwei Wang 002; Qiang Li 018 (ACCV (6), 2022)

Rethinking Low-Dose CT Synthesis: Degrading Normal-Dose CT from Origin for Pairwise Training of CT Denoiser. - Lianying Chao; Taotao Zhang; Yanli Wang; Wenqi Shan; Qiang Li 018; Zhiwei Wang 002 (BIBM, 2023)

Towards Learning-based Surgical Planning of Glioma Resection via a Contrastively Constrained Siamese Neural Network. - Wenqi Shan; Yingjie Guo; Lianying Chao; Haobo Zhang 003; Xudong Li; Xuan Wang; Qiang Li 018; Zhiwei Wang 002 (BIBM, 2023)

PSDP: Pseudo-supervised dual-processing for low-dose cone-beam computed tomography reconstruction. - Lianying Chao; Wenqi Shan; Yanli Wang; Wenting Xu; Haobo Zhang 003; Zhiwei Wang 002; Qiang Li 018 (Expert Syst. Appl., 2023)

Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation. - Kaixiang Yang; Wenqi Shan; Xudong Li; Xuan Wang; Xikai Yang; Xi Wang 013; Pheng-Ann Heng; Qiang Li 018; Zhiwei Wang 002 (BIBM, 2024)

Joint denoising and interpolating network for low-dose cone-beam CT reconstruction under hybrid dose-reduction strategy. - Lianying Chao; Yanli Wang; Taotao Zhang; Wenqi Shan; Haobo Zhang 003; Zhiwei Wang 002; Qiang Li 018 (Comput. Biol. Medicine, 2024)

SPNet: Sparse-mask Prompt-learning Network for Cerebrovascular Segmentation. - Wenqi Shan; Qiang Li 018; Zhiwei Wang 002 (ICASSP, 2025)