Wei Zhao

Orcid: 0000-0002-8520-2087

Affiliations:
  • Central South University, Second Xiangya Hospital, Department of Radiology, Changsha, China
  • Central South University, Clinical Research Center for Medical Imaging in Hunan Province, Changsha, China
  • Fudan University, Shanghai, China (PhD 2019)


According to our database1, Wei Zhao authored at least 19 papers between 2020 and 2026.

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Timeline

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Bibliography

2026
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-Institution and Multi-System Data.
IEEE Trans. Biomed. Eng., March, 2026

2024
Deep learning-based magnetic resonance image super-resolution: a survey.
Neural Comput. Appl., July, 2024

GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Mask-aware transformer with structure invariant loss for CT translation.
Medical Image Anal., 2024

3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models.
CoRR, 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.
CoRR, 2024

Reconstruction-Guided Multi-Stage Network For MRI Super-Resolution.
Proceedings of the International Conference on Computer Vision and Deep Learning, 2024

Strong Multimodal Representation Learner through Cross-domain Distillation for Alzheimer's Disease Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder.
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

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

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

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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