Jun Liu

Orcid: 0000-0002-7851-6782

Affiliations:
  • Central South University, Department of Radiology Quality Control Center, Second Xiangya Hospital, Changsha, China


According to our database1, Jun Liu authored at least 20 papers between 2020 and 2023.

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Timeline

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Bibliography

2023
Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder.
IEEE Trans. Biomed. Eng., December, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR, 2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023

Radiology-Llama2: Best-in-Class Large Language Model for Radiology.
CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.
CoRR, 2023

Radiology-GPT: A Large Language Model for Radiology.
CoRR, 2023

Artificial General Intelligence for Medical Imaging.
CoRR, 2023

2022
Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation.
IEEE Trans. Medical Imaging, 2022

Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading.
IEEE J. Biomed. Health Informatics, 2022

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021
SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images.
Pattern Recognit., 2021

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.
Pattern Recognit., 2021

Brain responses to drug cues predict craving changes in abstinent heroin users: A preliminary study.
NeuroImage, 2021

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.
Medical Image Anal., 2021

A deep-learning-based framework for severity assessment of COVID-19 with CT images.
Expert Syst. Appl., 2021

Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation.
CoRR, 2021

Computing infection distributions and longitudinal evolution patterns in lung CT images.
BMC Medical Imaging, 2021

2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
IEEE Trans. Medical Imaging, 2020

Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images.
CoRR, 2020

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images.
CoRR, 2020


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