Lipei Zhang

According to our database, Lipei Zhang authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Missing U for Efficient Diffusion Models.

Sergio Calvo-Ordoñez, Chun-Wun Cheng, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Trans. Mach. Learn. Res., 2024

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation.

Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2024

2023

Multi-Modal Learning for Predicting the Genotype of Glioma.

Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li

IEEE Trans. Medical Imaging, November, 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, Qizhi Teng

Biomed. Signal Process. Control., September, 2023

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

CoRR, 2023

Beyond U: Making Diffusion Models Faster & Lighter.

Sergio Calvo-Ordoñez, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2023

Expectation-Maximization Regularised Deep Learning for Tumour Segmentation.

Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Lipei Zhang, Jianguo Zhang, Stephen J. Price, Carola-Bibiane Schönlieb

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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, Chao Ren

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading.

Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li

CoRR, 2022

Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading.

Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

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

Proceedings of the MMPT@ICMR2021: Proceedings of the 2021 Workshop on Multi-Modal Pre-Training for Multimedia Understanding, 2021

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, Sitong Lian, Maokun Han, Wen Cheng, Yuyu Liu, Zifeng Cai, Zhaohua Zhu, Baoqiang Han, Jing Xiao

CoRR, 2020

Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation.

Lipei Zhang, Aozhi Liu, Jing Xiao, Paul Taylor

Proceedings of the 25th International Conference on Pattern Recognition, 2020