Demin Yao
Fudan University
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Publication
Featured researches published by Demin Yao.
Scientific Reports | 2016
Haosu Zhang; Yonghong Shi; Chengjun Yao; Weijun Tang; Demin Yao; Chenxi Zhang; Manning Wang; Jinsong Wu; Zhijian Song
Patients with frontal lobe gliomas often experience neurocognitive dysfunctions before surgery, which affects the default mode network (DMN) to different degrees. This study quantitatively analyzed this effect from the perspective of cerebral hemispheric functional connectivity (FC). We collected resting-state fMRI data from 20 frontal lobe glioma patients before treatment and 20 healthy controls. All of the patients and controls were right-handed. After pre-processing the images, FC maps were built from the seed defined in the left or right posterior cingulate cortex (PCC) to the target regions determined in the left or right temporal-parietal junction (TPJ), respectively. The intra- and cross-group statistical calculations of FC strength were compared. The conclusions were as follows: (1) the intra-hemisphere FC strength values between the PCC and TPJ on the left and right were decreased in patients compared with controls; and (2) the correlation coefficients between the FC pairs in the patients were increased compared with the corresponding controls. When all of the patients were grouped by their tumor’s hemispheric location, (3) the FC of the subgroups showed that the dominant hemisphere was vulnerable to glioma, and (4) the FC in the dominant hemisphere showed a significant correlation with WHO grade.
Biomedical Engineering Online | 2018
Chunli Qin; Demin Yao; Yonghong Shi; Zhijian Song
As the most common examination tool in medical practice, chest radiography has important clinical value in the diagnosis of disease. Thus, the automatic detection of chest disease based on chest radiography has become one of the hot topics in medical imaging research. Based on the clinical applications, the study conducts a comprehensive survey on computer-aided detection (CAD) systems, and especially focuses on the artificial intelligence technology applied in chest radiography. The paper presents several common chest X-ray datasets and briefly introduces general image preprocessing procedures, such as contrast enhancement and segmentation, and bone suppression techniques that are applied to chest radiography. Then, the CAD system in the detection of specific disease (pulmonary nodules, tuberculosis, and interstitial lung diseases) and multiple diseases is described, focusing on the basic principles of the algorithm, the data used in the study, the evaluation measures, and the results. Finally, the paper summarizes the CAD system in chest radiography based on artificial intelligence and discusses the existing problems and trends.
Archive | 2011
Zhijian Song; Wensheng Li; Demin Yao; Manning Wang; Yi Zhang
computer assisted radiology and surgery | 2016
Dongsheng Jiang; Yonghong Shi; Demin Yao; Manning Wang; Zhijian Song
Archive | 2012
Zhijian Song; Manning Wang; Demin Yao; Wensheng Li; Wenjian Du; Liang Hu
Archive | 2010
Zhijian Song; Manning Wang; Chenxi Zhang; Wensheng Li; Demin Yao
computer assisted radiology and surgery | 2017
Dongsheng Jiang; Yonghong Shi; Demin Yao; Yifeng Fan; Manning Wang; Zhijian Song
Archive | 2014
宋志坚; Zhijian Song; 邓薇薇; Weiwei Deng; 李舫; Fang Li; 王满宁; Manning Wang; 姚德民; Demin Yao
Archive | 2010
Shufang Gao; Wensheng Li; Zhijian Song; Manning Wang; Demin Yao
Archive | 2010
Zhijian Song; Manning Wang; Shufang Gao; Demin Yao; Wensheng Li