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ORCIDPei Liu 0008
Person information
- affiliation: University of Electronic Science and Technology of China, School of Computer Science and Engineering, Big Data Research Center, Chengdu, China
Other persons with the same name
- Pei Liu — disambiguation page
- Pei Liu 0001
![[0000-0001-6873-1553]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6873-1553")
— New York University Tandon School of Engineering, Department of Electrical and Computer Engineering, Brooklyn, NY, USA - Pei Liu 0002 — Tsinghua University, Department of Thermal Engineering, State Key Laboratory of Power Systems, Beijing, China (and 1 more)
- Pei Liu 0003 — KTH Royal Institute of Technology, School of ICT, Department of Electronic Systems, Stockholm, Sweden
- Pei Liu 0004 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Pei Liu 0005 — Henan Polytechnic University, Key Laboratory of Mine Spatial Information Technologies of SBSM / School of Surveying and Mapping Land Information Engineering, Jiaozuo, China (and 1 more)
- Pei Liu 0006 — Jinan University, School of Management, Guangzhou, China
- Pei Liu 0007 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China
- Pei Liu 0009 — Feng-Chia University, Department of Transportation Technology and Management, Taiwan
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2020 – today
- 2024
[j8]Rui Yang, Pei Liu, Luping Ji:
ProDiv: Prototype-driven consistent pseudo-bag division for whole-slide image classification. Comput. Methods Programs Biomed. 249: 108161 (2024)- [j7]Pei Liu, Luping Ji, Feng Ye, Bo Fu:
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images. Medical Image Anal. 91: 103020 (2024) - [j6]Pei Liu, Luping Ji, Xinyu Zhang, Feng Ye:
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification. IEEE Trans. Medical Imaging 43(5): 1841-1852 (2024) - [c2]Pei Liu, Luping Ji:
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation. ICML 2024 - [i6]Pei Liu, Luping Ji:
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation. CoRR abs/2405.04405 (2024) - [i5]Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye:
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology. CoRR abs/2409.09369 (2024) - 2023
- [j5]Pei Liu, Luping Ji, Feng Ye, Bo Fu:
GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide images. Comput. Methods Programs Biomed. 231: 107433 (2023) - [j4]Pei Liu, Bo Fu, Feng Ye, Rui Yang, Luping Ji:
DSCA: A dual-stream network with cross-attention on whole-slide image pyramids for cancer prognosis. Expert Syst. Appl. 227: 120280 (2023) - [i4]Rui Yang, Pei Liu, Luping Ji:
ProtoDiv: Prototype-guided Division of Consistent Pseudo-bags for Whole-slide Image Classification. CoRR abs/2304.06652 (2023) - [i3]Pei Liu, Luping Ji, Xinyu Zhang, Feng Ye:
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning Based Whole Slide Image Classification. CoRR abs/2306.16180 (2023) - 2022
- [c1]Fei Wu, Pei Liu, Bo Fu, Feng Ye:
DeepGCNMIL: Multi-head Attention Guided Multi-Instance Learning Approach for Whole-Slide Images Survival Analysis Using Graph Convolutional Networks. ICMLC 2022: 67-73 - [i2]Pei Liu, Bo Fu, Feng Ye, Rui Yang, Bin Xu, Luping Ji:
Dual-Stream Transformer with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis. CoRR abs/2206.05782 (2022) - [i1]Pei Liu, Luping Ji, Feng Ye, Bo Fu:
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images. CoRR abs/2212.06515 (2022) - 2021
- [j3]Pei Liu, Bo Fu, Simon X. Yang, Ling Deng, Xiaorong Zhong, Hong Zheng:
Optimizing Survival Analysis of XGBoost for Ties to Predict Disease Progression of Breast Cancer. IEEE Trans. Biomed. Eng. 68(1): 148-160 (2021)
2010 – 2019
- 2019
- [j2]Pei Liu, Bo Fu, Simon X. Yang:
HitBoost: Survival Analysis via a Multi-Output Gradient Boosting Decision Tree Method. IEEE Access 7: 56785-56795 (2019) - [j1]Bo Fu, Pei Liu, Jie Lin, Ling Deng, Kejia Hu, Hong Zheng:
Predicting Invasive Disease-Free Survival for Early Stage Breast Cancer Patients Using Follow-Up Clinical Data. IEEE Trans. Biomed. Eng. 66(7): 2053-2064 (2019)
Coauthor Index
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