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| 1 | A prospective comparative study on neovascular glaucoma and non- neovascular refractory glaucoma following Ahmed glaucoma valve implantation显示文摘 | Li Zheng Zhou Minwen Wang Wei Huang Wenbin Chen Shida Li Xingyi Gao Xinbo Zhang Xiulan | 2014 | Chinese Medical Journal2014，，8： | 18 |
| 2 | Neovascular glaucoma: challenges we have to face显示文摘Neovascular glaucoma (NVG) is a blinding,intractable disease,which is difficult to manage.It is referred to as an 'end-stage' ocular disease.Conventional treatments for extremely uncontrolled NVG cases include retinal cryotherapy or enucleation.Major advancements in the diagnosis and the treatment of NVG,such as glaucoma drainage implant surgery and anti-vascular endothelial growth factor (anti-VEGF) treatment,have led to a new era in the management of this condition.However,many challenges still remain to be overcome. | Zhang Xiulan Zhou Minwen | 2014 | Chinese Medical Journal2014，，8： | 14 |
| 3 | DEVELOPMENT OF A GIS DATA MODEL WITH SPATIAL,TEMPORAL AND ATTRIBUTE COMPONENTS BASED ON OBJECT-ORIENTED APPROACH显示文摘This paper presents a conceptual data model, the STA-model, for handling spatial, temporal and attribute aspects of objects in GIS. The model is developed on the basis of object-oriented modeling approach. This model includes two major parts: (a) modeling the signal objects by STA-object elements, and (b) modeling relationships between STA-objects. As an example, the STA-model is applied for modeling land cover change data with spatial, temporal and attribute components. | SHI Wenzhong ZHANG Minwen | 2000 | Geo-Spatial Information Science2000，3，1： | 2 |
| 4 | Coronary artery disease in Chinese adults with type 2 diabetes mellitus estimated by electron beam computed tomography and electron beam computed tomography angiography显示文摘Objective To assess the prevalence and risk of coronary artery disease(CAD) in Chinese adults with type 2 diabetes mellitus(T2DM) using electron beam computed tomography(EBCT) and EBCT angiography(EBCTA) . Methods:Ninety-four cases were enrolled in this study including diabetes(n=28) ,impaired glucose tolerance(IGT,n=30) ,coronary heart disease(CHD,n=11) ,and control(n=25) . Cardiac EBCT plain scanning and EBCTA were performed on all of these subjects to evaluate coronary artery calcifica-tion(CAC) scores,and number of segments of stenosed coronary arteries. Both CAC and/or coronary artery stenosis were defined as patients with coronary artery lesions(CAL) . Results CAC scores were not different with the control,diabetes,IGT,or CHD(P>0.05) groups. Compared to control(0.520±1.295) ,more stenosed coronary arteries segments(P<0.05) were detected in diabetes(2.964± 1.915) ,IGT(2.200±2.024) ,and CHD(2.273±1.679) . Number of stenosed artery segments were correlated with age(r=0.215,P=0.019) ,postprandial glucose(r=0.224,P=0.015) ,total cholesterol(r=0.323,P=0.000) ,and duration of diabetes(r=0.208,P=0.004) . The incidences of CAL in diabetes(96.43%) ,IGT(93.33%) ,and CHD(90.91%) was substantially higher than that in normal control(56.00%,P<0.01) . The odds ratio of CAL associated with having diabetes was estimated to be 7.514(95% CI:1.885-63.778) . Conclusions Coronary artery lesions are prevalent in Chinese adults with type 2 diabetes,implying a high CAD risk. EBCTA holds potential in depicting the details of CAL and can be used to track the progression of CAD in diabetes patients. | Chen Huang Minwen Zheng Xiaoming Wang Jianyuan Gao Hua Meng Liping Wu Rong Li Hui Su Hua Zhang Ronghuai Zhang | 2007 | Journal of Geriatric Cardiology2007，4，3： | 1 |
| 5 | CDCP:a visualization and analyzing platform for single-cell datasets显示文摘Recently,the rapid advances of single-cell sequencing technologies,including sequencing of single-cell genomics,transcriptomes,epigenetics,and spatial transcriptomes,have empowered researchers to scrutinize cellular heterogeneity,gene expression,epigenetic modifications. | Yuejiao Li Tao Yang Tingting Lai Lijin You Fan Yang Jiaying Qiu Lina Wang Wensi Du Cong Hua Zhicheng Xu Jia Cai Zhiyong Li Yiqun Liu Ling Li Minwen Zhang Jing Chen Lei Zhang Dongsheng Chen Weiwen Wang Shiping Liu Liang Wu Wenjun Zeng Bo Wang Xiaofeng Wei Longqi Liu Fengzhen Chen | 2022 | Journal of Genetics and Genomics2022，49，7： | 0 |
| 6 | Study design of deep learning based automatic detection of cerebrovascular diseases on medical imaging: a position paper from Chinese Association of Radiologists显示文摘In recent years,with the development of artificial intelligence,especially deep learning technology,researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and these models are gradually entering into clinical practice.However,because of the complexity and flexibility of the deep learning algorithms,these researches have great variability on model building,validation process,performance description and results interpretation.The lack of a reliable,consistent,standardized design protocol has,to a certain extent,affected the progress of clinical translation and technology development of computer aided detection systems.After reviewing a large number of literatures and extensive discussion with domestic experts,this position paper put forward recommendations of standardized design on the key steps of deep learning-based automatic image detection models for cerebrovascular diseases.With further research and application expansion,this position paper would continue to be updated and gradually extended to evaluate the generalizability and clinical application efficacy of such tools. | Longjiang Zhang Zhao Shi Min Chen Yingmin Chen Jingliang Cheng Li Fan Nan Hong Wenxiao Jia Guihua Jiang Shenghong Ju Xiaogang Li Xiuli Li Changhong Liang Weihua Liao Shiyuan Liu Zaiming Lu Lin Ma Ke Ren Pengfei Rong Bin Song Gang Sun Rongpin Wang Zhibo Wen Haibo Xu Kai Xu Fuhua Yan Yizhou Yu Yunfei Zha Fandong Zhang Minwen Zheng Zhen Zhou Wenzhen Zhu Guangming Lu Zhengyu Jin on behalf of Chinese Association of Radiologists | 2022 | Intelligent Medicine2022，2，4： | 0 |
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