Lipei Zhang

According to our database, Lipei Zhang authored at least 22 papers between 2020 and 2026.

Collaborative distances:

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

2026

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction.

Zhenxuan Zhang, Lipei Zhang, Yanqi Cheng, Zi Wang, Fanwen Wang, Haosen Zhang, Yue Yang, Yinzhe Wu, Jiahao Huang, Angelica I. Avilés-Rivero, Zhifan Gao, Guang Yang, Peter J. Lally

IEEE Trans. Image Process., 2026

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

Pattern Recognit., 2026

Lost in Distortion: Uncovering the Domain Gap Between Computer Vision and Brain Imaging - a Study on Pretraining for Age Prediction.

Yanteng Zhang, Songheng Li, Zeyu Shen, Qizhen Lan, Lipei Zhang, Yang Liu, Vince D. Calhoun

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

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, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Trans. Mach. Learn. Res., 2025

Transformer attention-based neural network for cognitive score estimation from sMRI data.

Songheng Li, Yanteng Zhang, Congyu Zou, Lipei Zhang, Fei Li, Qiang Liu

Comput. Biol. Medicine, 2025

D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction.

Lipei Zhang, Rui Sun, Zhongying Deng, Yanqi Cheng, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Local Structural Features Analysis of Hemispheres for AD Diagnosis from Brain sMRI.

Yanteng Zhang, Zibo Zhao, Chuanyi Zhang, Lipei Zhang, Yuxiang Wei, Vince D. Calhoun

Proceedings of the 16th ACM International Conference on Bioinformatics, 2025

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

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