Publications

2025

Collaborative artificial intelligence and clinical evaluation of interstitial lung diseases: a call for interdisciplinary partnerships.
Wang, H., Zhang, R., Guo, X., Kang, H., Liu, M., Costabel, U., Wang, C., & Dai, H.*
Science bulletin, 70(4),2025:437–440. https://doi.org/10.1016/j.scib.2024.12.035
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Construction and Validation of a General Medical Image Dataset for Pretraining.
Rongguo Zhang*, Chenhao Pei, Ji Shi, Shaokang Wang.
Journal of Imaging Informatics in Medicine (2025) 38:1051–1061. https://doi.org/10.1007/s10278-024-01226-3
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An Efficient Cross-Modal Segmentation Method for Vestibular Schwannoma and Cochlea on MRI Images.
Cancan Chen, Dawei Wang, Rongguo Zhang*.
In: Baid, U., et al. Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation. crossMoDA BraTS 2023. Lecture Notes in Computer Science, vol 14669, 355-363. Springer, Cham.
[PDF] [Code]
An Ensemble of 2.5D ResUnet Based Models for Segmentation of Kidney and Masses.
Chen, C., Zhang, R*.
International Challenge on Kidney and Kidney Tumor Segmentation. Cham: Springer Nature Switzerland, 2023: 47-53.
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Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method.
Wen Tang, Chenhao Pei, Pengxin Yu, Huan Zhang, Xiangde Min, Cancan Chen, Han Kang, Weixin Xu, Rongguo Zhang*.
International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2023: 79-88.
[PDF] [Code]
Coronary computed tomography angiography analysis using artificial intelligence for stenosis quantification and stent segmentation: a multicenter study.
Meng Q, Yu P, Yin S, Li X, Chang Y, Xu W, Wu C, Xu N, Zhang H, Wang Y, Shen H, Zhang R*, Zhang Q.
Quant Imaging Med Surg. 2023 Oct 1;13(10):6876-6886.
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Deep Learning Algorithm Enables Cerebral Venous Thrombosis Detection With Routine Brain Magnetic Resonance Imaging.
Xiaoxu Yang, Pengxin Yu, Haoyue Zhang, Rongguo Zhang, Yuehong Liu, Haoyuan Li, Penghui Sun, Xin Liu, Yu Wu, Xiuqin Jia, Jiangang Duan, Xunming Ji and Qi Yang*.
Stroke. 2023 May;54(5):1357-1366.
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Transformer Lesion Tracker.
Tang, W., Kang, H., Zhang, H., Yu, P., Arnold, C.W., Zhang, R.*.
Medical Image Computing and Computer Assisted Intervention 2022. LNCS, vol 13436, pp.196-206. Springer, Cham(MICCAI 2022).
[PDF] [Code]
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans.
Yu, P., Zhang, H., Kang, H., Tang, W., Arnold, C.W., Zhang, R.*.
Medical Image Computing and Computer Assisted Intervention 2022. LNCS, vol 13436, pp. 344-353. Springer, Cham.(MICCAI 2022).
[PDF] [Code]

M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19.
Tang W, Kang H, Cao Ying, Yu P, Han H, Zhang R* and Chen K.
International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2021: 262-272.
[PDF] [Code]
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation.
Yu-Huan Wu, Shang-Hua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rong-Guo Zhang, Ming-Ming Cheng*.
IEEE Transactions on Image Processing (TIP), 2021.
[PDF] [Code]

Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation.
Wang M, Xia C, Huang L, Xu S, Qin C, Liu J, Cao Y, Yu P, Zhu T, Zhu H, Wu C, Zhang R, Chen X, Wang J, Du G, Zhang C, Wang S, Chen K, Liu Z, Xia L, Wang W.
Lancet Digital Health. 2020 Oct;2(10):e506-e515. [PDF]]

Machine Learning for Pretest Probability of Obstructive Coronary Stenosis in Symptomatic Patients.
Hou ZH, Lu B, Li ZN, An YQ, Gao Y, Yin WH, Liang S, Zhang RG.
JACC Cardiovasc Imaging. 2019 Dec;12(12):2584-2586.
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