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Medical Physics|June 30, 2022
A novel end-to-end deep learning solution for coronary artery segmentation from CCTACaixia Dong, Songhua Xu, Zongfang LiJournal of Applied Clinical Medical Physics|March 17, 2023
MS-Net: Learning to assess the malignant status of a lung nodule by a radiologist and her peersDuwei Dai, Caixia Dong, Zongfang Li, et al.Medical Image Analysis|January 11, 2023
A novel multi-attention, multi-scale 3D deep network for coronary artery segmentationCaixia Dong, Songhua Xu, Duwei Dai, et al.Journal of Medical Internet Research|December 8, 2021
The Evolution and Disparities of Online Attitudes Toward COVID-19 Vaccines: Year-long Longitudinal and Cross-sectional StudyChunyan Zhang, Songhua Xu, Zongfang Li, et al.Computers in Biology and Medicine|December 4, 2022
Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classificationCaixia Dong, Duwei Dai, Yizhi Zhang, et al.Medical Image Analysis|September 26, 2025
Improving the performance of medical image segmentation with instructive feature learningDuwei Dai, Caixia Dong, Haolin Huang, et al.Medical Image Analysis|November 20, 2021
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentationDuwei Dai, Caixia Dong, Songhua Xu, et al.Journal of Medical Internet Research|March 7, 2025
Exploring Psychological Trends in Populations With Chronic Obstructive Pulmonary Disease During COVID-19 and Beyond: Large-Scale Longitudinal Twitter Mining StudyChunyan Zhang, Ting Wang, Caixia Dong, et al.Medical Image Analysis|June 19, 2024
I2U-Net: A dual-path U-Net with rich information interaction for medical image segmentationDuwei Dai, Caixia Dong, Qingsen Yan, et al.Journal of Medical Internet Research|February 22, 2021
Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional StudyChunyan Zhang, Songhua Xu, Zongfang Li, et al.Pageof 32