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2020 – today
- 2025
[j14]Chi Dong, Yujiao Wu, Bo Sun, Jiayi Bo, Yufei Huang, Yikang Geng, Qianhui Zhang, Ruixiang Liu, Wei Guo, Xingling Wang, Xiran Jiang:
A multi-view contrastive learning and semi-supervised self-distillation framework for early recurrence prediction in ovarian cancer. Comput. Medical Imaging Graph. 119: 102477 (2025)- 2024
- [j13]Wei Guo, Xiaomin Li
, Zhaoxuan Gong, Guodong Zhang, Xiran Jiang:
Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis. Int. J. Imaging Syst. Technol. 34(1) (2024) - 2023
- [j12]Tao Jiang, Xinyan Sun, Yue Dong, Wei Guo, Hongbo Wang, Zhibin Yue, Yahong Luo, Xiran Jiang:
Deep learning for preoperative prediction of the EGFR mutation and subtypes based on the MRI image of spinal metastasis from primary NSCLC. Biomed. Signal Process. Control. 79(Part): 104084 (2023) - [j11]Wei Guo, Shijie Liu, Zhaoxuan Gong, Guodong Zhang, Xiran Jiang:
Effective use of prior information for high-performance embryo grading. Biomed. Signal Process. Control. 85: 104943 (2023) - [j10]Wei Guo, Shijie Liu, Zhaoxuan Gong, Guodong Zhang, Xiran Jiang:
Cascaded networks for the embryo classification on microscopic images using the residual external-attention. Int. J. Imaging Syst. Technol. 33(1): 312-322 (2023) - 2022
- [j9]Jiaxin Shi, Linpeng Cui, Hongbo Wang, Yue Dong, Tao Yu, Huazhe Yang, Xingling Wang, Guanyu Liu, Wenyan Jiang, Yahong Luo, Zhiguang Yang, Xiran Jiang:
MRI-based intratumoral and peritumoral radiomics on prediction of lymph-vascular space invasion in cervical cancer: A multi-center study. Biomed. Signal Process. Control. 72(Part): 103373 (2022) - [j8]Chongwei Wu, Langyuan Fu, Zhiying Tian, Jiao Liu, Jiangdian Song, Wei Guo, Yu Zhao, Duo Zheng, Ying Jin, Dongxu Yi, Xiran Jiang:
LWMA-Net: Light-weighted morphology attention learning for human embryo grading. Comput. Biol. Medicine 151(Part): 106242 (2022) - [j7]Jiaxin Shi, Zilong Zhao, Tao Jiang, Hua Ai, Jiani Liu, Xinpu Chen, Yahong Luo, Huijie Fan, Xiran Jiang:
A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor. Frontiers Neuroinformatics 16 (2022) - 2021
- [j6]Shengjie Shang, Jing Sun, Zhibin Yue, Yingni Wang, Xiaoyu Wang, Yahong Luo, Dazhe Zhao, Tao Yu, Xiran Jiang:
Multi-parametric MRI based radiomics with tumor subregion partitioning for differentiating benign and malignant soft-tissue tumors. Biomed. Signal Process. Control. 67: 102522 (2021) - [j5]Chongwei Wu, Wei Yan, Hongtu Li, Jiaxin Li, Hongkai Wang, Shijie Chang, Tao Yu, Ying Jin, Chao Ma, Yahong Luo, Dongxu Yi, Xiran Jiang:
A classification system of day 3 human embryos using deep learning. Biomed. Signal Process. Control. 70: 102943 (2021) - [j4]Xiran Jiang, Jiaxin Li, Yangyang Kan, Tao Yu, Shijie Chang, Xianzheng Sha, Hairong Zheng, Yahong Luo, Shanshan Wang:
MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 995-1002 (2021) - 2020
- [j3]Siqi Zhang, Lei Wang, Jie Zhang, Ling Gu, Xiran Jiang, Xiaoyue Zhai, Xianzheng Sha, Shijie Chang:
Consecutive Context Perceive Generative Adversarial Networks for Serial Sections Inpainting. IEEE Access 8: 190417-190430 (2020) - [j2]Wenqing Hua, Taohui Xiao, Xiran Jiang, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI. Biomed. Signal Process. Control. 58: 101869 (2020)
2010 – 2019
- 2016
- [j1]Xiran Jiang, Yingchao Liu, Qi Liu, Wenwen Jing, Kai-Rong Qin, Guodong Sui:
Rapid Capture and Analysis of Airborne Staphylococcus aureus in the Hospital Using a Microfluidic Chip. Micromachines 7(9): 169 (2016)
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