A MFC Scheme for Electromagnetic Scanning Micro-mirrors. - Xiaoqian Zhou; Ruili Dong; Yonghong Tan 001; Pengfei Zhao (RCAR, 2020)

Deep Neural Networks with Prior Evidence for Bladder Cancer Staging. - Xiaoqian Zhou; Xiaodong Yue; Zhikang Xu; Thierry Denoeux; Yufei Chen 002 (BIBM, 2021)

Purchasing Management System Based on Genetic Algorithm. - Xiaoqian Zhou (ICATCI (1), 2022)

HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection. - Xiaoqian Zhou; Zhen Huang 007; Heqin Zhu; Qingsong Yao; S. Kevin Zhou (CoRR, 2024)

Multiscale Complex-Valued Feature Attention Convolutional Neural Network for SAR Automatic Target Recognition. - Xiaoqian Zhou; Cai Luo; Peng Ren 001; Bin Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

The Influencing Mechanism of Robustness of Emergency Medical Logistics: Mediating Role of Knowledge Integration. - Jianhua Zhang 012; Ziao Cao; Xiaoqian Zhou; Jinyan Liu; Hongyu Jia (Syst., 2024)

A Unified Framework for Few-Shot Medical Image Classification via Multi-agent Description Generation and Refined Contrastive Learning. - Shenghao Chen; Zhen Huang 007; Xiaoqian Zhou; S. Kevin Zhou (ICIC (28), 2025)

Eliminating Ambiguities in One-Shot Medical Landmark Detection via Mask Drawing. - Xu He; Zhen Huang 007; Xiaoqian Zhou; S. Kevin Zhou (ICIC (5), 2025)

Mechanism of knowledge management system self-learning case and knowledge matching based on bidirectional dimension reduction. - Xiaoqian Zhou; Ziao Cao; Sajjad Alam; Longfei He (Eng. Appl. Artif. Intell., 2025)

CASEMark: A hybrid model for robust anatomical landmark detection in multi-structure X-rays. - Zhen Huang 007; Xiaoqian Zhou; Xu He; Yangbo Wei; Wenkai Yang; Suhua Wang; Xiaoxin Sun; Han Li (J. King Saud Univ. Comput. Inf. Sci., 2025)

H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical Imaging. - Zhen Huang 007; Ronghao Xu; Xiaoqian Zhou; Yangbo Wei; Suhua Wang; Xiaoxin Sun; Han Li; Qingsong Yao (CoRR, 2025)

Landmarks Are Alike Yet Distinct: Harnessing Similarity and Individuality for One-Shot Medical Landmark Detection. - Xu He; Zhen Huang 007; Qingsong Yao; Xiaoqian Zhou; S. Kevin Zhou (CoRR, 2025)