Rapid Capture and Analysis of Airborne Staphylococcus aureus in the Hospital Using a Microfluidic Chip. - Xiran Jiang; Yingchao Liu; Qi Liu; Wenwen Jing; Kai-Rong Qin; Guodong Sui (Micromachines, 2016)

Consecutive Context Perceive Generative Adversarial Networks for Serial Sections Inpainting. - Siqi Zhang; Lei Wang 158; Jie Zhang; Ling Gu; Xiran Jiang; Xiaoyue Zhai; Xianzheng Sha; Shijie Chang (IEEE Access, 2020)

Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI. - Wenqing Hua; Taohui Xiao; Xiran Jiang; Zaiyi Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (Biomed. Signal Process. Control., 2020)

Multi-parametric MRI based radiomics with tumor subregion partitioning for differentiating benign and malignant soft-tissue tumors. - Shengjie Shang; Jing Sun; Zhibin Yue; Yingni Wang; Xiaoyu Wang; Yahong Luo; Dazhe Zhao; Tao Yu; Xiran Jiang (Biomed. Signal Process. Control., 2021)

A classification system of day 3 human embryos using deep learning. - Chongwei Wu; Wei Yan; Hongtu Li; Jiaxin Li; Hongkai Wang; Shijie Chang; Tao Yu; Ying Jin; Chao Ma; Yahong Luo; Dongxu Yi; Xiran Jiang (Biomed. Signal Process. Control., 2021)

MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer. - Xiran Jiang; Jiaxin Li; Yangyang Kan; Tao Yu; Shijie Chang; Xianzheng Sha; Hairong Zheng; Yahong Luo; Shanshan Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

MRI-based intratumoral and peritumoral radiomics on prediction of lymph-vascular space invasion in cervical cancer: A multi-center study. - Jiaxin Shi; Linpeng Cui; Hongbo Wang; Yue Dong; Tao Yu; Huazhe Yang; Xingling Wang; Guanyu Liu; Wenyan Jiang; Yahong Luo; Zhiguang Yang; Xiran Jiang (Biomed. Signal Process. Control., 2022)

LWMA-Net: Light-weighted morphology attention learning for human embryo grading. - Chongwei Wu; Langyuan Fu; Zhiying Tian; Jiao Liu; Jiangdian Song; Wei Guo 016; Yu Zhao; Duo Zheng; Ying Jin; Dongxu Yi; Xiran Jiang (Comput. Biol. Medicine, 2022)

A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor. - Jiaxin Shi; Zilong Zhao; Tao Jiang; Hua Ai; Jiani Liu 008; Xinpu Chen; Yahong Luo; Huijie Fan; Xiran Jiang (Frontiers Neuroinformatics, 2022)

Deep learning for preoperative prediction of the EGFR mutation and subtypes based on the MRI image of spinal metastasis from primary NSCLC. - Tao Jiang; Xinyan Sun; Yue Dong; Wei Guo 016; Hongbo Wang; Zhibin Yue; Yahong Luo; Xiran Jiang (Biomed. Signal Process. Control., 2023)

Cascaded networks for the embryo classification on microscopic images using the residual external-attention. - Wei Guo 016; Shijie Liu; Zhaoxuan Gong; Guodong Zhang 005; Xiran Jiang (Int. J. Imaging Syst. Technol., 2023)

Effective use of prior information for high-performance embryo grading. - Wei Guo 016; Shijie Liu; Zhaoxuan Gong; Guodong Zhang 005; Xiran Jiang (Biomed. Signal Process. Control., 2023)

Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis. - Wei Guo 016; Xiaomin Li; Zhaoxuan Gong; Guodong Zhang 005; Xiran Jiang (Int. J. Imaging Syst. Technol., 2024)

A multi-view contrastive learning and semi-supervised self-distillation framework for early recurrence prediction in ovarian cancer. - Chi Dong; Yujiao Wu; Bo Sun; Jiayi Bo; Yufei Huang 018; Yikang Geng; Qianhui Zhang; Ruixiang Liu; Wei Guo; Xingling Wang; Xiran Jiang (Comput. Medical Imaging Graph., 2025)

Visual-language foundation models in medical imaging: A systematic review and meta-analysis of diagnostic and analytical applications. - Yiyao Sun; Xinran Wen; Yan Zhang; Lijun Jin; Chunna Yang; Qianhui Zhang; Mingchen Jiang; Zhaoyang Xu; Wei Guo; Juan Su; Xiran Jiang (Comput. Methods Programs Biomed., 2025)