Jun Liu
Orcid: 0000-0002-7851-6782Affiliations:
- Central South University, Department of Radiology Quality Control Center, Second Xiangya Hospital, Changsha, China
According to our database1,
Jun Liu
authored at least 22 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2024
GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
2023
IEEE Trans. Biomed. Eng., December, 2023
Anomaly detection for streaming data based on grid-clustering and Gaussian distribution.
Inf. Sci., August, 2023
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023
CoRR, 2023
2022
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
Differentiation between COVID-19 and bacterial pneumonia using radiomics of chest computed tomography and clinical features.
Int. J. Imaging Syst. Technol., 2021
Expert Syst. Appl., 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