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杨鸿玺，高安康, 王一达, 白洁, 张勇, 程敬亮, 杨光,“基于影像组学和多序列 MRI 的胶质瘤相关癫痫预测”，《中国医学物理学杂志》，1005-202X（2023）卷40，期11, 1350-1355, 2023年11月, DOI:10.3969/j.issn.1005-202X.2023.11.006
Jie Bai; Mengyang He; Eryuan Gao; Guang Yang; Chengxiu Zhang; Hongxi Yang; Jie Dong; Xiaoyue Ma; Yufei Gao; Huiting Zhang; Yang Song; Xu Yan; Yong Zhang; Jingliang Cheng; Guohua Zhao, “Radiomic texture analysis based on neurite orientation dispersion and density imaging to differentiate glioblastoma from solitary brain metastasis”, BMC Cancer (2023) 23:1231，https://doi.org/10.1186/s12885-023-11718-0
Chenglong Wang, Yun Liu, Fen Wang, Chengxiu Zhang, Yida Wang Mei Yuan, Guang Yang*, “Towards reliable and explainable AI model for pulmonary nodule diagnosis”, Biomedical Signal Processing and Control 88 (2024) 105646 (IF2022=5.076)
Mingxi Jiang, Zihao Yang, Ting Lu, Jiabao Li*, Chenglong Wang*, Guang Yang, Likun Pan*, “Machine learning accelerated study for predicting the lattice constant and substitution energy of metal doped titanium dioxide”, Ceramics International (2023), accepted, (IF2002=5.532)
Guangsheng Xu, Yajuan Zhang, Mingxi Jiang, Jinliang Li*, Hengchao Sun, Jiabao Li, Ting Lu, Chenglong Wang*, Guang Yang, Likun Pan*, “A Machine learning assisted study on organic solvents in electrolytes for expanding the electrochemical stable window of Zinc-ion batteries”, Chemical Engineering Journal (2023), DOI: 10.1016/j.cej.2023.146676 (IF2022=16.744)
Xiumei Li#, Chengxiu Zhang#, Tingting Li, Xiuqiang Lin, Dongmei Wu, Guang Yang*, and Dairong Cao*, “Early acquired resistance to EGFR-TKIs in lung adenocarcinomas before radiographic advanced identified by CT radiomic delta model based on two central studies, Scientific Reports (2023)13:15586, DOI:10.1038/s41598-023-42916-2 (IF2022=4.996)
Mingxi Jiang, Yajuan Zhang, Zihao Yang, Haibo Li, Jinliang Li, Jiabao Li, Ting Lu, Chenglong Wang*, Guang Yang*, Likun Pan*, “A Data-driven Interpretable Method to Predict Capacities of Metal ion Doped TiO2 Anode Materials for Lithium-ion Batteries Using Machine Learning Classifiers”, Inorg. Chem. Front., 2023, DOI:10.1039/D3QI01705B. (IF2022=7.779)
Eryuan Gao; Peipei Wang; Jie Bai; Xiaoyue Ma; Yufei Gao; Jinbo Qi; Kai Zhao; Huiting Zhang; Xu Yan; Guang Yang; Jingliang Cheng; Zhao Guohua, Radiomic analysis of diffusion kurtosis imaging: Distinguishing between glioblastoma multiforme and single brain metastasis, Academic Radiology (2023), https://doi.org/10.1016/j.acra.2023.07.023 (IF2022=5.483)
Shuang Lu#, Chenglong Wang#, Yun Liu, Funing Chu, Zhengyan Jia, Hongkai Zhang, Zhaoqi Wang, Yanan Lu, Shuting Wang, Guang Yang*, Jinrong Qu*, “The MRI radiomics signature can predict the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma”, European Radiology (2023). https://doi.org/10.1007/s00330-023-10040-4 (IF2022=7.034)
Feng Wang, Cheng-Long Wang, Yin-Qiao Yi, Teng Zhang, Yan Zhong, Jia-Jia Zhu, Hai Li, Guang Yang, Tong-Fu Yu, Mei Yuan. “Comparison and fusion prediction model for lung adenocarcinoma with micropapillary and solid pattern using clinicoradiographic, radiomics and deep learning features”, Scientific Reports 13, 9302 (2023). DOI: 10.1038/s41598-023-36409-5 (IF2022=4.996)
Yida Wang, Naying He, Chunyan Zhang, Youmin Zhang, Chenglong Wang, Pei Huang, Zhijia Jin, Yan Li, Zenghui Cheng, Yu Liu, Xinhui Wang, Chen Chen, Jingliang Cheng*, Fangtao Liu, Ewart Mark Haacke, Shengdi Chen, Guang Yang*, Fuhua Yan*, “An automatic interpretable deep learning pipeline for accurate Parkinson’s disease diagnosis using quantitative susceptibility mapping and T1-weighted images”, Human Brain Mapping 2023, 10.1002/hbm.26399 (IF2022=5.399) 19 June 2023 Volume44, Issue12, 4426-4438, 15 August 2023
Haijie Wang, Yida Wang, He Zhang, Xuan Yin, Chenglong Wang, Yuanyuan Lu, Yang Song, Hao Zhu*, Guang Yang*, “A deep learning pipeline using prior knowledge for automatic evaluation of placenta accreta spectrum disorders with MRI”, Journal of Magnetic Resonance Imaging (IF2022=5.119), 2023, April, DOI: 10.1002/jmri.28770
Xie J, Li C, Chen Y, Zhang H, Lin H, Yang G, Long L, “Potential Value of the Stretched Exponential and Fractional Order Calculus Model in Discriminating Between Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma: An Animal Experiment of Orthotopic Xenograft Nude Mice”, Current Medical Imaging, 22 Mar 2023, DOI: 10.2174/1573405619666230322123117 (IF2022=1.315)
Yida Wang, He Zhang, Tianping Wang, Liangqing Yao, Guofu Zhang, Xuefen Liu, Guang Yang*, and Lei Yuan*, “Deep learning for the ovarian lesion localization and discrimination between borderline and malignant ovarian tumors based on routine MR imaging”, Scientific Reports (2023), 13:2770, DOI: 10.1038/s41598-023-29814-3 (IF2022=4.996)
Jia-Xiang Xin, Guang Yang, Huojun Zhang, Jianqi Li, Caixia Fu, Jiachen Wang, Rui Tong, Yan Ren*, Da-Xiu Wei*, Yefeng Yao*, Optimal Control of Spin Singlet Order - Towards Accurately Targeting Molecular Signal in Magnetic Resonance Imaging and Spectroscopy, Scientific Reports (2023), 13:2212, DOI: 10.1038/s41598-023-28425-2 (IF2022=4.996)
Ziyu Le, Dongmei Wu, Xuming Chen, Lei Wang, Yi Xu, Guoqi Zhao, Chengxiu Zhang, Ying Chen, Ye Hu, Shengyu Yao, Tingfeng Chen, Jianping Ren*, Guang Yang*, Yong Liu*, “A radiomics approach for predicting acute hematologic toxicity in patients with cervical or endometrial cancer undergoing external-beam radiotherapy”, Radiotherapy and Oncology, 2023, Jan. 182, 109489, DOI: 10.1016/j.radonc.2023.109489 (IF2022=6.901)
Jing Zhang, Chenao Zhan, Chenxiu Zhang, Yang Song, Xu Yan, Yihao Guo, Tao Ai, and Guang Yang*, “Fully automatic classification of breast lesions on multi-parameter MRI using a radiomics model with minimal number of stable, interpretable features”, La Radiologia Medica (2023), DOI: 10.1007/s11547-023-01594-w (IF2022=6.313)
Sihong Huang, Xianglin Zhou, Wei Zhao, Yanyao Du, Danhui Yang, Yijie Huang, Yanjing Chen, Huiting Zhang, Guang Yang, Jun Liu*, and Hong Luo*, “Dynamic white matter changes in recovered COVID-19 patients: a two-year follow-up study”, Theranostics 2023; 13(2): 724-735. doi: 10.7150/thno.79902 (IF2022=11.6)
Long Cui, Yang Song, Yida Wang, Rui Wang, Dongmei Wu, Haibin Xie, Jianqi Li, Guang Yang*, “Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis”, PLoS One (2023), 18(1):e0278668, DOI: 10.1371/journal.pone.0278668 (IF2022=3.752)
Ruiqi Yu, Ke-wen Jiang, Jie Bao, Ying Hou, Yinqiao Yi, Dongmei Wu, Yang Song, Chun-Hong Hu*, Guang Yang* & Yu-Dong Zhang*, PI-RADSAI: introducing a new human-in-the-loop AI model for prostate cancer diagnosis based on MRI. British Journal of Cancer (2023) 128, 1019–1029 https://doi.org/10.1038/s41416-022-02137-2 (IF2022=9.075)
刘雲，王一达，张成秀，杨光，王成龙*，“基于深度学习结合解剖学注意力机制的肺结节良恶性分类”，《中国医学物理学杂志》，2022年第11期1441-1447
Jia-Xiang Xin, Da-Xiu Wei, Yan Ren, Jun-Long Wang, Guang Yang, Huojun Zhang, Jianqi Li, Caixia Fu, Ye-Feng Yao. Distinguishing glutamate and glutamine in in vivo 1H MRS based on nuclear spin singlet order filtering. Magnetic Resonance in Medicine. 2022; 89(5), 1728-1740, doi:10.1002/mrm.29562 (IF2022=3.737)
汤伟，徐倩，高婷婷，董辽，杨光，杜小霞*，陈伟*，“额颞叶和小脑及感觉运动区局部的度中心度值异常与帕金森患者冻结步态有关”，《磁共振成像》, 2022,13(7) : 84-89. DOI: 10.12015/issn.1674-8034.2022.07.015
王颖珊; 邓奥琦; 毛瑾玲; 朱中旗; 石洁*; 杨光; 马伟伟; 路青*; 汪红志*，“基于3D VNetTrans的膝关节滑膜磁共振图像自动分割”，《波谱学杂志》, 2022, 39(03): 303-315.
谢金桓; 龙莉玲*; 李晨晖; 张会婷; 杨光，“非高斯扩散加权成像：拉伸指数模型与分数阶微积分模型对术前预测肝细胞癌微血管侵犯的价值”，《临床放射学杂志》, 2022, 41(12): 2250-2256.
Hongyue Tao; Yibo Dan; Yiwen Hu; Yuxue Xie; Rong Lu; Xiangwen Li; Qianru Li; Chenglong Wang; Chengxiu Zhang; Guang Yang*; Shuang Chen*, Using radiomics to detect subtle architecture changes of cartilage and subchondral bone in hindfoot joints in chronic lateral ankle instability patients based on MRI PD-FS images，Academic Radiology (2022) 30(8), 1667-1677, DOI：10.1016/j.acra.2022.11.014 (IF2022=5.482) 2022.8
常晓; 蔡昕; 杨光; 聂生东*，“生成对抗网络在医学图像转换领域的应用”，《波谱学杂志》, 2022, 39(03): 366-380
Ke-Wen Jiang, Yang Song, Ying Hou, Rui Zhi, Jing Zhang, Mei-Ling Bao, Hai Li, Xu Yan, Wei Xi, Cheng-Xiu Zhang, Ye-Feng Yao, Guang Yang*, Yu-Dong Zhang*, “Performance of artificial intelligence-aided diagnosis system for clinically significant prostate cancer with MRI: a diagnostic comparison study”, Journal of Magnetic Resonance Imaging, 57(5), 1352-1364, (IF2022=5.119), DOI: 10.1002/jmri.28427
Jinbo Qi, Peipei Wang, Guohua Zhao, Eryuan Gao, Kai Zhao, Ankang Gao, Jie Bai, Huiting Zhang, Guang Yang, Yong Zhang, Xiaoyue Ma* and Jingliang Cheng*, Histogram Analysis Based on Neurite Orientation Dispersion and Density MR Imaging for Differentiation Between Glioblastoma Multiforme and Solitary Brain Metastasis and Comparison of the Diagnostic Performance of Two ROI Placements, Journal of Magnetic Resonance Imaging (2022, IF=5.119), DOI: 10.1002/jmri.28419
Teng Zhang, Chengxiu Zhang, Yan Zhong, Yingli Sun, Haijie Wang, Hai Li, Guang Yang, Quan Zhu and Mei Yuan, A Radiomics nomogram for invasiveness prediction in lung adenocarcinoma manifesting as part-solid nodules with solid components smaller than 6 mm”, Frontiers in Oncology (2022), 12:900049. DOI: 10.3389/fonc.2022.900049
Peipei Wang, Eryuan Gao, Jinbo Qi, Xiaoyue Ma, Kai Zhao, Jie Bai, Yong Zhang, Huiting Zhang, Guang Yang, Jingliang Cheng, Guohua Zhao, “Quantitative analysis of mean apparent propagator-magnetic resonance imaging for distinguishing glioblastoma from solitary brain metastasis”, European Journal of Radiology 154 (2022), 110430, (IF2022=4.531), DOI: 10.1016/j.ejrad.2022.110430
董辽; 梁怀彬; 杨光; 刘建仁*; 杜小霞*，“基于概率性纤维追踪的躯体症状障碍患者脑网络初步探究”，《磁共振成像》, 2022, 13(07): 80-83+130
高婷婷，王梦星，汤伟，董辽，杨光，杜小霞，马骏,“夜间遗尿症儿童静息态脑功能磁共振成像研究”，《磁共振成像》，2022, 13(6):71-75
Xiao Chang, Xin Cai, Guang Yang*, Shengdong Nie*, “Self-supervised learning for multi-center magnetic resonance imaging harmonization without traveling phantoms”, Physics in Medicine and Biology (2022), (2022 IF=4.174), DOI:10.1088/1361-6560/ac7b66
Hao Zhu, Xuan Yin, Haijie Wang, Yida Wang, Xuefen Liu, Chenglong Wang, Xiaotian Li, Yuanyuan Lu, Guang Yang*, and He Zhang*, “A computerized diagnostic model for automatically evaluating placenta accrete spectrum disorders based on the combined MR radiomics-clinical signatures”, Scientific Reports (2022)12:10130, (IF2022=4.996), DOI: 10.1038/s41598-022-14454-w
Qiong Ma; Yinqiao Yi; Tiejun Liu; Xinnian Wen; Fei Shan; Feng Feng; Qinqin Yan; Jie Shen; Guang Yang*; Yuxin Shi*, MRI-based radiomics signature for identification of invisible basal cisterns changes in tuberculosis meningitis: a multicenter study, European Radiology (2022), 32(12), 8659-?8669 (IF2022=7.034), 10.1007/s00330-022-08911-3, 2022.6
Hu Guo, Jun Liu, Junjiao Hu, Huiting Zhang, Wei Zhao, Min Gao, Yi Zhang, Guang Yang, and Yan Cui, Diagnostic performance of gliomas grading and IDH status decoding: A comparison between 3D amide proton transfer APT and four diffusion-weighted MRI models, Journal of Magnetic Resonance Imaging (2022) 56:1834–1844, (IF2022=5.119), DOI:10.1002/jmri.28211
刘绅，淡一波，王昭琦，鲁亚南，曲金荣，杨光*，“基于影像组学与深度学习的食管癌磁共振成像的T分期”，信息技术，（2022）4, 35-42
淡一波，陶虹月，王一达，王成龙，陈爽，杨光*，“基于预建模的影像组学特征选择方法”，信息技术，（2022）4,1-6
Funing Chu#, Yun Liu#, Qiuping Liu, Weijia Li, Zhengyan Jia, Chenglong Wang, Zhaoqi Wang, Shuang Lu, Ping Li, Yuanli Zhang, Yubo Liao, Mingzhe Xu, Xiaoqiang Yao, Shuting Wang, Cuicui Liu, Hongkai Zhang, Shaoyu Wang, Xu Yan, Ihab R. Kamel, Haibo Sun, Guang Yang, Yudong Zhang, Jinrong Qu*, Development and validation of MRI-based radiomics signatures models for prediction of disease-free survival and overall survival in esophageal squamous cell carcinoma, European Radiology (2022), (IF2022=7.034), DOI: 10.1007/s00330-022-08776-6
Xue Yang, Kai-Rui Hua, Jia-Xiang Xin, Yu-Xiao Li, Guang Yang, Da-Xiu Wei, Ye-Feng Yao, “Multiple-targeting NMR Signal Selection by Optimal Control of Nuclear Spin Singlet”, Journal of Magnetic Resonance (2022), (2022 IF=2.734), DOI:10.1016/j.jmr.2022.107188
Jingyu Zhong, Chengxiu Zhang, Yangfan Hu, Jing Zhang, Yun Liu, Liping Si, Yue Xing, Defang Ding, Jia Geng, Qiong Jiao, Huizhen Zhang, Guang Yang*, Weiwu Yao*, “Automated Prediction of the Chemotherapy Response in Osteosarcoma with Deep Learning and an MRI-Based Radiomics nomogram”, European Radiology (2022), (2022 IF=7.034), DOI: 10.1007/s00330-022-08735-1
Jie Bai, Hongxi Yang, Ankang Gao, Yida Wang, Guohua Zhao, Xiaoyue Ma, Chenglong Wang, Haijie Wang, Xiaonan Zhang, Guang Yang, Yong Zhang, Jingliang Cheng, “Radiomics nomogram improve the prediction of epilepsy in patients with cerebral gliomas”, Frontiers in Oncology (2022), (2022 IF=5.738), 12:856359
Weiwei Zhao; Yida Wang; Fangfang Zhou; Gaiying Li; Zhichao Wang; Haodong Zhong; Yang Song; Kelly M. Gillen; Yi Wang; Guang Yang*，Jianqi Li*,“Automated Segmentation of Midbrain Structures in Quantitative Susceptibility Maps Based on Deeply-Supervised Convolutional Neural Network and Transfer Learning”，Frontiers in Neuroscience (2022), (2022 IF=5.152), 16, 801618, DOI: 10.3389/fnins.2022.801618
Ruiqi Yu, Wei Liu, Yang Song, Jing Zhang, Xiao-hang Liu, Liangping Zhou, Guang Yang, “Identification of ISUP Grade of Clear Cell Renal Cell Carcinoma by Radiomics on Multi-phase CT Images”, Chinese Journal of Academic Radiology (2022), https://doi.org/10.1007/s42058-022-00087-5
Tianping Wang, Haijie Wang, Yida Wang, Xuefen Liu, Lei Ling, Guofu Zhang, Guang Yang, He Zhang, “MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols”, Journal of Ovarian Research (2022), 15, 6. (2022 IF=5.506), DOI: 10.1186/s13048-021-00941-7 (复旦大学附属妇产科医院)
Shuyi Yang, Yida Wang, Yuxin Shi, Guang Yang, Qinqin Yan, Jie Shen, Qingle Wang, Haoling Zhang, Shan Yang, Fei Shan*, Zhiyong Zhang*, “Radiomics nomogram analysis of T2-fBLADE-TSE in pulmonary nodules evaluation”, Magnetic Resonance Imaging (2022), 85, 80-86, 10.1016/j.mri.2021.10.010, 2022 IF=3.13
吴洁，张师天，谢海滨，杨光*, “基于多影像中心磁共振数据的半监督膝盖异常分类”, 《计算机应用》2022, 42(1) :316-324
Li, Qiong; Feng, Qiu-Xia; Qi, Liang; Liu, Chang; Zhang, Jing ; Yang, Guang ; Ge, Ying-Qian ; Zhang, Yu-Dong; Liu, Xi-sheng, “Prognostic Aspects of Lymphovascular Invasion in Localized Gastric Cancer: New Insights into the Radiomics and Deep Transfer Learning from Contrast-Enhanced CT Imaging, Abdominal Radiology (2022), 47, 496-507，DOI: https://doi.org/10.1007/s00261-021-03309-z, 2022 IF=2.886
周敏雄，张会婷，王一达，杨光，姚旭峰，高安康，程敬亮，白洁，严序，“数据采集方案对神经扩散模型影响的评估”，《波谱学杂志》, 2022, 39(2): 220-229. DOI: 10.11938/cjmr20202870
Qi Wan, Yuze Wang, Jianfeng Hu, Peng Wang, Yu Peng, Tianjing Zhang, Jianqing Sun, Yang Song, Guang Yang, Xinchun Li, Changhong Liang, Diagnostic performance of 2D and 3D T2WI-based radiomics features with machine learning approaches in patients with solid solitary pulmonary lesion, Front. Oncol. (2021), DOI: 10.3389/fonc.2021.683587
张一鸿,侯莹,包婕,王成龙，宋阳，张玉东，杨光，“基于注意力区域不同组分特征的磁共振成像前列腺癌包膜侵犯诊断研究”，《磁共振成像》2021, 12(12) : 39-43, 66. DOI:10.12015/issn.1674-8034.2021.12.008
Ankang Gao, Hongxi Yang, Yida Wang, Guohua Zhao, Chenglong Wang, Haijie Wang, Xiaonan Zhang, Yong Zhang, Jingliang Cheng*, Guang Yang* and Jie Bai*, “Radiomics for prediction of epilepsy in patients with frontal glioma”, Frontiers in Oncology: Neuro-Oncology and Neurosurgical Oncology (2021), Vol.11, Article 725926, DOI: 10.3389/fonc.2021.725926
Qinqin Yan, Yinqiao Yi, Jie Shen, Fei Shan, Zhiyong Zhang, Guang Yang*, Yuxin Shi*, Preliminary study of 3T-MRI native T1-mapping radiomics in differential diagnosis of non-calcified solid pulmonary nodules/masses, Cancer Cell International, (2021) 21:539 https://doi.org/10.1186/s12935-021-02195-1
Yuxue Xie, Yibo Dan, Hongyue Tao, Chenglong Wang, Chengxiu Zhang, Yida Wang, Jiayu Yang, Guang Yang*, and Shuang Chen*, “Radiomics feature analysis of cartilage and subchondral bone in differentiating knees predisposed to posttraumatic osteoarthritis after anterior cruciate ligament reconstruction from healthy knees”, BioMed Research International, Volume 2021, 4351499, https://doi.org/10.1155/2021/4351499
Ying Hou, Jie Bao, Yang Song, Mei-Ling Bao, Ke-Wen Jiang, Jing Zhang, Guang Yang, Chun-hong Hu, Hai-Bin Shi, Xi-Ming Wang, and Yu-Dong Zhang, Integration of Clinicopathologic Identification and Deep Transferrable Image Feature Representation Improves Predictions of Lymph Node Metastasis in Prostate Cancer, EBioMedicine 68 (2021) 103395
易音巧，王一达，宋阳，杨永贵，汪劭川，郭岗*，杨光，“基于深度学习的胸部数字X线质量控制方法”，《计算机应用》2021, 41(S1):237-242
Y Hou, YH Zhang, J Bao, ML Bao, G Yang, HB Shi, Y Song, “Artificial Intelligence Is a Promising Prospect for the Detection of Prostate Cancer Extracapsular Extension with mp-MRI: A Two-center Comparative Study”, Eur J Nucl Med Mol Imaging (2021). https://doi.org/10.1007/s00259-021-05381-5
陈静, 黄浦江, 杨光*, 刘志远，“个体前额叶与丘脑之间的功能连接与其对网游渴求程度的关系：一项静息态 fMRI研究，[J]. 磁共振成像, 2021, 12(4): 45-50
Zhicong Li; Jing Zhang; Yang Song; Xiaorui Yin; An Chen; Na Tang; Martin R Prince; Han Wang, Guang Yang, “Utilization of Radiomics to Predict Long Term Outcome of Magnetic Resonance Guided Focused Ultrasound Ablation Therapy in Adenomyosis Corresponding”, European Radiology (2021), https://doi.org/10.1007/s00330-020-07076-1. 31(1):392-402
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