Xiaohong Liu
Orcid: 0000-0002-0818-1059Affiliations:
- Tsinghua University, Beijing, China
According to our database1,
Xiaohong Liu
authored at least 23 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Dense Contrastive-Based Federated Learning for Dense Prediction Tasks on Medical Images.
IEEE J. Biomed. Health Informatics, April, 2024
Enhancing High-Resolution Image Compression Through Local-Global Joint Attention Mechanism.
IEEE Signal Process. Lett., 2024
SA-FedLora: Adaptive Parameter Allocation for Efficient Federated Learning with LoRA Tuning.
CoRR, 2024
2023
Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames.
Briefings Bioinform., January, 2023
Domain Knowledge Driven Semantic Communication for Image Transmission Over Wireless Channels.
IEEE Wirel. Commun. Lett., 2023
MedKPL: A heterogeneous knowledge enhanced prompt learning framework for transferable diagnosis.
J. Biomed. Informatics, 2023
CoRR, 2023
TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine.
CoRR, 2023
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.
Proceedings of the IEEE International Conference on Image Processing, 2023
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.
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.
IEEE J. Biomed. Health Informatics, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
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.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks.
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.
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.
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.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019