Publications  📖  [ link ]

2023

Integrative Nomogram of Computed Tomography Radiomics, Clinical, and Tumor Immune Features for Analysis of Disease-Free Survival of NSCLC Patients with Surgery[J]. 2023. Xiu D, Mo Y, Liu C, et al.  【paper】

2022

基于术前MRI深度学习影像组学机器学习模型预测软组织肉瘤组织病理学分级的研究[J]. 中华放射学杂志,2022,56(7):792-799. 王鹤翔,杨世锋,王童语,郭宏玮,梁皓昱,段丽莎,黄陈翠,莫琰,侯峰,郝大鹏.  DOI:10.3760/cma.j.cn112149-20220323-00269.【paper】

Different CT slice thickness and contrast-enhancement phase in radiomics models on the differential performance of lung adenocarcinoma. Thorac Cancer. 2022 Jun;13(12):1806-1813.  Wang Y, Liu F, Mo Y, Huang C, et al. 【paper】

Artificial Intelligence-Assisted Bone Age Assessment to Improve the Accuracy and Consistency of Physicians With Different Levels of Experience. Front Pediatr. 2022;10:818061. Wang X, Zhou B, Gong P, Zhang T, Mo Y, et al. 【paper】

Radiomics for differentiating minimally invasive adenocarcinoma from precursor lesions in pure ground-glass opacities on chest computed tomography. Br J Radiol. 2022 Jun 1;95(1134):20210768.  Zhu YQ, Liu C, Mo Y , et al. 【paper】

Machine Learning Based Non-Enhanced CT Radiomics for the Identificatio no fOrbita lCavernou sVenou sMalformations :A nInnovativ eTool [J] .Th Journal of craniofacial surgery, 2022. ( Q4, IF=1.046 ) Han Q, Du L, Mo Y, et al. 【paper】

Radiomics for differentiatin gminimall yinvasiv eadeno carcinoma from precursor lesions in pure ground-glass opacities on chest computed to-mography. Br J Radiol. 2022 Mar 9:20210768. doi: 10.1259/bjr.20210768. PubMed PMID:35262392. ( Q4, IF=3.039 )  Zhu YQ, Liu C, Mo Y, et al. 【paper】

Artificia lIntelligence–Assisted Bone Ag Assessment to Improve the Accuracy and Consistency of Physicians With Different Level of Experience[J]. Frontiers in pediatrics, 2022, 10. ( Q3, IF=3.418 )  Wang X, Zhou B, Gong P,Ting Z,Yan M, et al. 【paper】

2021

Distinguishing nontuberculous mycobacteria from My-cobacterium tuberculosis lung disease from CT images using a deep learning framework [J].European journal of nuclear medicine and molecular imaging, 2021, 48(13): 4293-4306. (Co-first author, Q1, IF=9.229 )  Wang L, Ding W, Mo Y, et al. 【paper】

A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features. Front Oncol. 2021;11:752158. doi: 10.3389/fonc.2021.752158. ( Co-first author,Q2, IF=6.244 ) Li N, Mo Y, Huang C,et al. 【paper】

 An MSCT-based radiomics nomogram combined with clinical factors can identify Crohn’s disease and ulcerative colitis. Ann Transl Med. 2021 Apr;9(7):572. pii: atm-09-07-572. doi: 10.21037/atm-21-1023. PubMed PMID: 33987270. (Second author, Q2, IF=3.297 )  Li H, Mo Y, Huang C, et al. 【paper】

Detection efficien cyanalys is ofautomat intracranial aneurysm measurement model based on 3D ResUNet [J]. Chinese Journal of Geriatric Cardio-Cerebrovascular Diseases,2021,23(05):459-462. ( Second author, Chinese Core Journals) Guisheng Wang, Yan Mo, Ting Liu , et al. 【paper】

      2018

 Yan Mo, Xiaoming Hu, Jixia Zhang "Simulation of the dose control for vascular targeted photodynamic therapy", Proc. SPIE 10820, Optics in Health Care and Biomedical Optics VIII, 108202H (23 October 2018); https://doi.org/10.1117/12.2501023 ( First author,EI )  【paper】

 Jixia Zhang, Xiaoming Hu, Yan Mo, Qin Li Sr. "The approach for quantification assessment for port-wine stains in three-dimensional and color space ", Proc. SPIE 10820, Optics in Health Care and Biomedical Optics VIII, 108202I (23 October 2018);https://doi.org/10.1117/12.2501025 【paper】

Patent （Chinese）

Qin Li, Xiaoming Hu, Yan Mo, A Microfluidi cchi pinjectio nan dbondin technology,2017/9, Patent No. 201710822626.4