Xiaohong Liu

According to our database, Xiaohong Liu authored at least 21 papers between 2019 and 2024.

Collaborative distances:

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

2024

Dense Contrastive-Based Federated Learning for Dense Prediction Tasks on Medical Images.

Yuning Yang, Xiaohong Liu, Tianrun Gao, Xiaodong Xu, Ping Zhang, Guangyu Wang

IEEE J. Biomed. Health Informatics, April, 2024

2023

Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames.

Yiming Xu, Bowen Zheng, Xiaohong Liu, Tao Wu, Jinxiu Ju, Shi-jie Wang, Yufan Lian, Hongjun Zhang, Tong Liang, Ye Sang, Rui Jiang, Guangyu Wang, Jie Ren, Ting Chen

Briefings Bioinform., January, 2023

Domain Knowledge Driven Semantic Communication for Image Transmission Over Wireless Channels.

Aini Li, Xiaohong Liu, Guangyu Wang, Ping Zhang

IEEE Wirel. Commun. Lett., 2023

MedKPL: A heterogeneous knowledge enhanced prompt learning framework for transferable diagnosis.

Yuxing Lu, Xiaohong Liu, Zongxin Du, Yuanxu Gao, Guangyu Wang

J. Biomed. Informatics, 2023

A Comprehensive Dataset and Automated Pipeline for Nailfold Capillary Analysis.

Linxi Zhao, Jiankai Tang, Dongyu Chen, Xiaohong Liu, Yong Zhou, Guangyu Wang, Yuntao Wang

CoRR, 2023

TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine.

Guoxing Yang, Jianyu Shi, Zan Wang, Xiaohong Liu, Guangyu Wang

CoRR, 2023

Self Adaptive Global-Local Feature Enhancement for Radiology Report Generation.

Yuhao Wang, Kai Wang, Xiaohong Liu, Tianrun Gao, Jingyue Zhang, Guangyu Wang

Proceedings of the IEEE International Conference on Image Processing, 2023

TAMM: A Task-Adaptive Multi-Modal Fusion Network for Facial-Related Health Assessments on 3D Facial Images.

Kai Wang, Xiaohong Liu, Zhengchao Luo, Fajin Feng, Guangyu Wang

Proceedings of the IEEE International Conference on Image Processing, 2023

FEDMBP: Multi-Branch Prototype Federated Learning on Heterogeneous Data.

Tianrun Gao, Xiaohong Liu, Yuning Yang, Guangyu Wang

Proceedings of the IEEE International Conference on Image Processing, 2023

Enhancing Medical Language Understanding: Adapting LLMs to the Medical Domain through Hybrid Granularity Mask Learning.

Longjun Fan, Xiaohong Liu, Yuhao Wang, Guoxing Yang, Zongxin Du, Guangyu Wang

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

2022

Explainable Dynamic Multimodal Variational Autoencoder for the Prediction of Patients With Suspected Central Precocious Puberty.

Yiming Xu, Xiaohong Liu, Liyan Pan, Xiaojian Mao, Huiying Liang, Guangyu Wang, Ting Chen

IEEE J. Biomed. Health Informatics, 2022

Yolo-SG: Salience-Guided Detection Of Small Objects In Medical Images.

Rong Han, Xiaohong Liu, Ting Chen

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

AIAT: Adaptive Iteration Adversarial Training for Robust Pulmonary Nodule Detection.

Guoxing Yang, Xiaohong Liu, Jianyu Shi, Xianchao Zhang, Guangyu Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Enhanced CT Image Generation by GAN for Improving Thyroid Anatomy Detection.

Jianyu Shi, Xiaohong Liu, Guoxing Yang, Guangyu Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

AMAT-Net: An Unbiased Network with High Performance for Metabolic Diseases Prediction Using Facial Images.

Fajin Feng, Kai Wang, Xiaohong Liu, Qifeng Gu, Guangyu Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Semantic Reasoning with NLI for Assertion Detection in Medical Text.

Zongxin Du, Xiaohong Liu, Jie Xu, Guoshun Nan, Guangyu Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Deep Active Learning For Fibrosis Segmentation Of Chest CT Scans From Covid-19 Patients.

Xiaohong Liu, Kai Wang, Ting Chen

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks.

Ke Wang, Xiaohong Liu, Kang Zhang, Ting Chen, Guangyu Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients.

Xiaohong Liu, Kai Wang, Ke Wang, Ting Chen, Kang Zhang, Guangyu Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

DeepTriager: A Neural Attention Model for Emergency Triage with Electronic Health Records.

Guangyu Wang, Xiaohong Liu, Ken Xie, Ning Chen, Ting Chen

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Bone Age Assessment by Deep Convolutional Neural Networks Combined with Clinical TW3-RUS.

Xiaohong Liu, Guangyu Wang, Yiming Xu, Ning Chen, Ting Chen

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019