Overview
What is Radiomics?
Radiomics is a new research direction based on image emerging after 2014. By high-throughput extraction of mass image connotation information, feature extraction and model construction, radiomics can achieve a deeper level of data mining beyond image, which is used for accurate diagnosis of diseases, efficacy assessment and prognosis prediction. The applicant took the lead in nasopharyngeal carcinoma MRI radiomics study, and proposed innovative process designs including multi-parameter MRI radiomics image data processing and prediction model building, which provides methods and techniques for solving the problem of resistance of tumor heterogeneity basing on quantitative MRI image data mining, and lays an important foundation for the clinical application of accurate image quantitative research in the field of MRI images.
Dr.Zhang
Jinan University
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- Preview | 13 April 2019
Background: Intravenous chemotherapy (IVC) and intra-arterial chemotherapy (IAC) have become the primary treatments for retinoblastoma; however, some controversy remains over which method is more effective. We conducted a meta-analysis to compare the clinical efficacy of IVC and IAC.
Qiuying Chen 1,2†,Bin Zhang 1†,Yuhao Dong 3,4,Xiaokai Mo 3,4,Lu Zhang 3,4,Wenhui Huang 3,5,Hua Jiang 6,Jiejun Xia 6 and Shuixing Zhang 1* -
- Preview | 13 April 2019
Hand-foot-mouth disease (HFMD) is a common infectious disease caused by a group of enteroviruses, with enterovirus 71 (EV-71) and Coxsackie virus A16 (CA-V16) being the most prevalent in China
Bin Zhang1,2,Xiang Wan3,Fu-sheng Ouyang4,Yu-hao Dong1,De-hui Luo5,Jing Liu1,2,Long Liang1,2,Wen-bo Chen6,Xiao-ning Luo1,2,Xiao-kai Mo1,Lu Zhang1,2,Wen-hui Huang1,Shu-fang Pei1,2,Bao-liang Guo1,2,Chang-hong Liang1,Zhou-yang Lian1 & Shui-xing Zhang1 -
- Preview | 11 April 2019
The aim of the present study was to analyze the differences in imaging and clinical features between primary pulmonary lymphoma (PPL) and secondary pulmonary lymphoma (SPL) to provide insight into pulmonary lymphoma for an improved clinical diagnosis.
YUHAO DONG 1,2*,MIAOYU ZENG 3*,BIN ZHANG 1,3,LUJUN HAN 4,ENTAO LIU 5 ，ZHOUYANG LIAN 1,3,JING LIU 1,3,CHANGHONG LIANG 1 and SHUIXING ZHANG 1 -
- Preview | 08 April 2019
Prediction and Understanding of AIE Effect by Quantum Mechanics-aided Machine-Learning Algorithm
Jia Qiu a,b,c#,Kun Wang c,d #,Zhouyang Lian b#,Xing Yang e,Wenhui Huang a,b,Anjun Qin f,Qian Wang g,Jie Tian* c,d,Benzhong Tang* f,h,Shuixing Zhang* b -
- Preview | 08 April 2019
Squamous cell carcinoma (SCC) accounts for 5% of all malignant tumors over the world [1]. It is the most common malignancy in the head and neck region. A multitude of metastatic LNs is often associated with a poor prognosis [2].
Long Liang a,b,Xiaoning Luo a,b,Zhouyang Lian a,b,Wenbo Chen a,b,Bin Zhang a,b,Yuhao Dong a,b,Changhong Liang a,b,Shuixing Zhang a,b,∗ -
- Preview | 08 April 2019
Significant effort has been devoted to the research of aggregation- induced emission (AIE); however, the discovery of new AIE materials is driven mainly by laborious trial-and-error.
Jia Qiu,‡abc Kun Wang,‡cd Zhouyang Lian,‡b Xing Yang,e Wenhui Huang,ab Anjun Qin,f Qian Wang,g Jie Tian,*cd Benzhong Tang*fh and Shuixing Zhang *b -
- Preview | 08 April 2019
Background: Iodine-based contrast agents such as iopromide play a central role in improving the diagnostic quality of imaging modalities using ionizing radiation. Purpose: To investigate the safety and diagnostic image quality of iopromide in the routine clinical setting.
Petra Palkowitsch1,Philipp Lengsfeld1,Kathrin Stauch2,Christian Heinsohn3,Soon Tae Kwon4,Shui-xing Zhang5 and Chang-hong Liang5 -
- Preview | 08 April 2019
To investigate whether low-dose contrast-enhanced MRI at 3.0T using a high-relaxivity contrast agent (Gd-BOPTA) can achieve a comparable or improved contrast-to-noise ratio (CNR)
B IAO H UANG,C HANG -H ONG L IANG,H ONG -J UN L IU,G UANG -Y I W ANG & S HUI -X ING Z HANG -
- Preview | 08 April 2019
Objectives: To obtain perfusion as well as diffusion information in normal breast tissues and breast lesions from intravoxel incoherent motion (IVIM) imaging with biexponential analysis of multiple b-value
Chunling Liu a,b,1,Changhong Liang a,∗,Zaiyi Liu a,1,Shuixing Zhang a,1,Biao Huang a,1
Comparison between intravenous chemotherapy and intra-arterial chemotherapy for retinoblastoma: a meta- analysis
Machine Learning Algorithms for Risk Prediction of Severe Hand- Foot-Mouth Disease in Children
Significance of imaging and clinical features in the differentiation between primary and secondary pulmonary lymphoma
Supporting Information
Lymph node metastasis in head and neck squamous carcinoma:Efficacy of intravoxel incoherent motion magnetic resonance imaging for the differential diagnosis
Prediction and understanding of AIE effect by quantum mechanics-aided machine-learning algorithm†
Safety and diagnostic image quality of iopromide: results of a large non-interventional observational study of European and Asian patients (IMAGE)
Low-dose contrast-enhanced magnetic resonance imaging of brain metastases at 3.0T using high-relaxivity contrast agents
Intravoxel incoherent motion (IVIM) in evaluation of breast lesions: Comparison with conventional DWI