Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation. - Beiji Zou 001; Yulan Dai; Qi He; Chengzhang Zhu; Geng Liu; Yu Su; Rui Tang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A dynamic multi-modal fusion network for ovarian tumor differentiation. - Yang Li 111; Beiji Zou 001; Jing Wu; Yulan Dai; Harrison X. Bai; Zhicheng Jiao (BIBM, 2022)

Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation. - Yang Li 111; Beiji Zou 001; Yulan Dai; Chengzhang Zhu; Fan Yang 054; Xin Li 079; Harrison X. Bai; Zhicheng Jiao (MICCAI (4), 2022)

Improved PSP-Net Segmentation Network for Automatic Detection of Neovascularization in Color Fundus Images. - Qiuming Liu; Shen Wang; Yulan Dai; Jintao Zhang; Yichen Wang; Ruoxuan Zhou (VCIP, 2022)

OVS-Net: An effective feature extraction network for optical coherence tomography angiography vessel segmentation. - Chengzhang Zhu; Han Wang; Yalong Xiao; Yulan Dai; Zixi Liu; Beiji Zou 001 (Comput. Animat. Virtual Worlds, 2022)

Wavelet-aware Transformer Network for Multi-contrast Knee MRI Super-resolution. - Zexin Ji; Xiaoyan Kui; Shenghui Liao; Chengzhang Zhu; Yang Li 111; Yulan Dai; Beiji Zou 001 (BIBM, 2023)

Multi-scale deformable transformer for multi-contrast knee MRI super-resolution. - Beiji Zou 001; Zexin Ji; Chengzhang Zhu; Yulan Dai; Wensheng Zhang 002; Xiaoyan Kui (Biomed. Signal Process. Control., 2023)

Medical visual question answering with symmetric interaction attention and cross-modal gating. - Zhi Chen 015; Beiji Zou 001; Yulan Dai; Chengzhang Zhu; Guilan Kong; Wensheng Zhang 002 (Biomed. Signal Process. Control., 2023)

DE-JANet: A unified network based on dual encoder and joint attention for Alzheimer's disease classification using multi-modal data. - Yulan Dai; Beiji Zou 001; Chengzhang Zhu; Yang Li 111; Zhi Chen 015; Zexin Ji; Xiaoyan Kui; Wensheng Zhang 002 (Comput. Biol. Medicine, 2023)

Strong Multimodal Representation Learner through Cross-domain Distillation for Alzheimer's Disease Classification. - Yulan Dai; Beiji Zou 001; Xiaoyan Kui; Qinsong Li; Wei Zhao 040; Jun Liu 075; Miguel Bordallo López (BIBM, 2024)

Reconstruction-Guided Multi-Stage Network For MRI Super-Resolution. - Zexin Ji; Beiji Zou 001; Xiaoyan Kui; Yang Li 111; Jun Liu 075; Wei Zhao 040; Chengzhang Zhu; Yulan Dai (CVDL, 2024)

Deep learning-based magnetic resonance image super-resolution: a survey. - Zexin Ji; Beiji Zou 001; Xiaoyan Kui; Jun Liu 075; Wei Zhao 040; Chengzhang Zhu; Peishan Dai; Yulan Dai (Neural Comput. Appl., 2024)

Unsupervised meta-learning for few-shot medical image classification based on metric learning. - Ding Lv; Beiji Zou 001; Xiaoyan Kui; Yulan Dai; Zeming Chen; Liming Chen 002 (Biomed. Signal Process. Control., 2025)

Iterative Collaboration Network Guided by Reconstruction Prior for Medical Image Super-Resolution. - Xiaoyan Kui; Zexin Ji; Beiji Zou 001; Yang Li 111; Yulan Dai; Liming Chen 002; Pierre Vera; Su Ruan (IEEE Trans. Computational Imaging, 2025)