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Lipei Zhang
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2020 – today
- 2024
- [j3]Sergio Calvo-Ordoñez, Chun-Wun Cheng, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
The Missing U for Efficient Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024) - [c7]Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. MICCAI (12) 2024: 3-13 - [i9]Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. CoRR abs/2403.09136 (2024) - 2023
- [j2]Yanteng Zhang, Linbo Qing, Xiaohai He, Lipei Zhang, Yan Liu, Qizhi Teng:
Population-based GCN method for diagnosis of Alzheimer's disease using brain metabolic or volumetric features. Biomed. Signal Process. Control. 86(Part A): 105162 (2023) - [j1]Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li:
Multi-Modal Learning for Predicting the Genotype of Glioma. IEEE Trans. Medical Imaging 42(11): 3167-3178 (2023) - [c6]Yanteng Zhang, Qingyan Cai, Xiaohai He, Xia Ren, Lipei Zhang, Yan Liu:
A joint CNN-GNN framework for early diagnosis of AD using multi-source multi-modal data. BIBM 2023: 2407-2411 - [c5]Yanteng Zhang, Qizhi Teng, Xiaohai He, Tong Niu, Lipei Zhang, Yan Liu, Chao Ren:
Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images. EMBC 2023: 1-4 - [c4]Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Lipei Zhang, Jianguo Zhang, Stephen J. Price, Carola-Bibiane Schönlieb:
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation. ISBI 2023: 1-5 - [i8]Yanteng Zhang, Qizhi Teng, Xiaohai He, Tong Niu, Lipei Zhang, Yan Liu, Chao Ren:
Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images. CoRR abs/2308.05655 (2023) - [i7]Sergio Calvo-Ordoñez, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Beyond U: Making Diffusion Models Faster & Lighter. CoRR abs/2310.20092 (2023) - [i6]Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Single-Shot Plug-and-Play Methods for Inverse Problems. CoRR abs/2311.13682 (2023) - 2022
- [c3]Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li:
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading. BMVC 2022: 1071 - [i5]Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li:
Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading. CoRR abs/2203.04013 (2022) - [i4]Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li:
Multi-modal learning for predicting the genotype of glioma. CoRR abs/2203.10852 (2022) - 2021
- [c2]Aozhi Liu, Lipei Zhang, Yaqi Mei, Baoqiang Han, Zifeng Cai, Zhaohua Zhu, Jing Xiao:
Residual Recurrent CRNN for End-to-End Optical Music Recognition on Monophonic Scores. MMPT@ICMR 2021: 23-27 - 2020
- [c1]Lipei Zhang, Aozhi Liu, Jing Xiao, Paul Taylor:
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation. ICPR 2020: 9333-9339 - [i3]Lipei Zhang, Aozhi Liu, Jing Xiao, Paul Taylor:
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation. CoRR abs/2009.10608 (2020) - [i2]Aozhi Liu, Lipei Zhang, Yaqi Mei, Sitong Lian, Maokun Han, Wen Cheng, Yuyu Liu, Zifeng Cai, Zhaohua Zhu, Baoqiang Han, Jing Xiao:
Residual Recurrent CRNN for End-to-End Optical Music Recognition on Monophonic Scores. CoRR abs/2010.13418 (2020) - [i1]Guanwen Qiu, Xiaobing Yu, Baolin Sun, Yunpeng Wang, Lipei Zhang:
Metastatic Cancer Image Classification Based On Deep Learning Method. CoRR abs/2011.06984 (2020)
Coauthor Index
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last updated on 2024-10-31 20:18 CET by the dblp team
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