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2020 – today
- 2024
[j2]Weibin Liao
, Qingzhong Wang, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou, Yanwu Xu, Haoyi Xiong:
MTPret: Improving X-Ray Image Analytics With Multitask Pretraining. IEEE Trans. Artif. Intell. 5(9): 4799-4812 (2024)- [i9]Weibin Liao, Yinghao Zhu, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma:
Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. CoRR abs/2401.16796 (2024) - [i8]Yinghao Zhu, Zixiang Wang, Junyi Gao, Yuning Tong, Jingkun An, Weibin Liao, Ewen M. Harrison, Liantao Ma, Chengwei Pan:
Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data. CoRR abs/2402.01713 (2024) - [i7]Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, Yasha Wang, Liantao Ma:
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation. CoRR abs/2403.05246 (2024) - [i6]Yinghao Zhu, Junyi Gao, Zixiang Wang, Weibin Liao, Xiaochen Zheng, Lifang Liang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Liantao Ma:
Is larger always better? Evaluating and prompting large language models for non-generative medical tasks. CoRR abs/2407.18525 (2024) - [i5]Weibin Liao, Yifan Zhu, Yanyan Li, Qi Zhang, Zhonghong Ou, Xuesong Li:
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation. CoRR abs/2407.20684 (2024) - [i4]Weibin Liao, Xu Chu, Yasha Wang:
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees. CoRR abs/2410.12854 (2024) - 2023
- [j1]Zhengliang Wu, Weibin Liao, Chao Yan, Mangsuo Zhao, Guowen Liu, Ning Ma, Xuesong Li:
Deep learning based MRI reconstruction with transformer. Comput. Methods Programs Biomed. 233: 107452 (2023) - [c7]Weibin Liao, Peirong Jiang, Yi Lv, Yunjing Xue, Zhensen Chen, Xuesong Li:
MCRLe: Multi-Modal Contrastive Representation Learning For Stroke Onset Time Diagnosis. ISBI 2023: 1-5 - [c6]Yi Lv, Weibin Liao, Zhensen Chen, Xuesong Li:
MFR-Net: Multi-Scale Feature Representation Module for 3D Cerebrovascular Segmentation. ISBI 2023: 1-5 - [c5]Yi Lv, Weibin Liao, Wenjin Liu, Zhensen Chen, Xuesong Li:
A Deep-Learning-Based Framework for Automatic Segmentation and Labelling of Intracranial Artery. ISBI 2023: 1-5 - [i3]Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou:
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts. CoRR abs/2310.02000 (2023) - [i2]Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong:
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation. CoRR abs/2310.03981 (2023) - 2022
- [c4]Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou:
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts. MICCAI (8) 2022: 151-161 - [i1]Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR abs/2204.09573 (2022) - 2020
- [c3]Yizhuan Jia, Weibin Liao, Yi Lv, Ziyu Su, Jiaqi Dou, Zhongwei Sun, Xuesong Li:
Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet. CADA@MICCAI 2020: 39-48 - [c2]Ziyu Su, Yizhuan Jia, Weibin Liao, Yi Lv, Jiaqi Dou, Zhongwei Sun, Xuesong Li:
3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge. CADA@MICCAI 2020: 58-67
2000 – 2009
- 2006
- [c1]Kin Fun Li, Louis Yu, Weibin Liao:
A Study of Chinese Web Characteristics and Their Implications on Web Search. IMSCCS (2) 2006: 468-474
Coauthor Index
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