Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation. - Lipei Zhang; Aozhi Liu; Jing Xiao 006; Paul Taylor (ICPR, 2020)

Residual Recurrent CRNN for End-to-End Optical Music Recognition on Monophonic Scores. - Aozhi Liu; Lipei Zhang; Yaqi Mei; Sitong Lian; Maokun Han; Wen Cheng; Yuyu Liu; Zifeng Cai; Zhaohua Zhu; Baoqiang Han; Jing Xiao 006 (CoRR, 2020)

Metastatic Cancer Image Classification Based On Deep Learning Method. - Guanwen Qiu; Xiaobing Yu; Baolin Sun; Yunpeng Wang; Lipei Zhang (CoRR, 2020)

Residual Recurrent CRNN for End-to-End Optical Music Recognition on Monophonic Scores. - Aozhi Liu; Lipei Zhang; Yaqi Mei; Baoqiang Han; Zifeng Cai; Zhaohua Zhu; Jing Xiao 006 (MMPT@ICMR, 2021)

Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading. - Lipei Zhang; Yiran Wei 002; Ying Fu 001; Stephen J. Price; Carola-Bibiane Schönlieb; Chao Li 031 (BMVC, 2022)

Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading. - Lipei Zhang; Yiran Wei 002; Ying Fu 001; Stephen J. Price; Carola-Bibiane Schönlieb; Chao Li 031 (CoRR, 2022)

A joint CNN-GNN framework for early diagnosis of AD using multi-source multi-modal data. - Yanteng Zhang; Qingyan Cai; Xiaohai He; Xia Ren; Lipei Zhang; Yan Liu 078 (BIBM, 2023)

Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images. - Yanteng Zhang; Qizhi Teng; Xiaohai He; Tong Niu; Lipei Zhang; Yan Liu 078; Chao Ren 002 (EMBC, 2023)

Expectation-Maximization Regularised Deep Learning for Tumour Segmentation. - Chao Li 031; Wenjian Huang; Xi Chen 042; Yiran Wei 002; Lipei Zhang; Jianguo Zhang; Stephen J. Price; Carola-Bibiane Schönlieb (ISBI, 2023)

Beyond U: Making Diffusion Models Faster & Lighter. - Sergio Calvo-Ordoñez; Jiahao Huang; Lipei Zhang; Guang Yang 006; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2023)

Population-based GCN method for diagnosis of Alzheimer's disease using brain metabolic or volumetric features. - Yanteng Zhang; Linbo Qing; Xiaohai He; Lipei Zhang; Yan Liu 078; Qizhi Teng (Biomed. Signal Process. Control., 2023)

Multi-Modal Learning for Predicting the Genotype of Glioma. - Yiran Wei 002; Xi Chen 042; Lei Zhu 003; Lipei Zhang; Carola-Bibiane Schönlieb; Stephen J. Price; Chao Li 031 (IEEE Trans. Medical Imaging, 2023)

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. - Lipei Zhang; Yanqi Cheng; Lihao Liu; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (MICCAI (12), 2024)

The Missing U for Efficient Diffusion Models. - Sergio Calvo-Ordoñez; Chun-Wun Cheng; Jiahao Huang; Lipei Zhang; Guang Yang 006; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2024)

Single-Shot Plug-and-Play Methods for Inverse Problems. - Yanqi Cheng; Lipei Zhang; Zhenda Shen; Shujun Wang; Lequan Yu; Raymond H. Chan; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2024)

Transformer attention-based neural network for cognitive score estimation from sMRI data. - Songheng Li; Yanteng Zhang; Congyu Zou; Lipei Zhang; Fei Li; Qiang Liu 021 (Comput. Biol. Medicine, 2025)

Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey. - Amer Essakine; Yanqi Cheng; Chun-Wun Cheng; Lipei Zhang; Zhongying Deng; Lei Zhu 003; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2025)

Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis. - Zhongying Deng; Haoyu Wang; Ziyan Huang; Lipei Zhang; Angelica I. Avilés-Rivero; Chaoyu Liu; Junjun He; Zoe Kourtzi; Carola-Bibiane Schönlieb (CoRR, 2025)

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction. - Zhenxuan Zhang; Lipei Zhang; Yanqi Cheng; Zi Wang 005; Fanwen Wang; Haosen Zhang; Yue Yang; Yinzhe Wu 001; Jiahao Huang; Angelica I. Avilés-Rivero; Zhifan Gao; Guang Yang 006; et al. (CoRR, 2025)