A5031711695- Pituitary Gland Disorders and Treatments
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Glioma Diagnosis and Treatment
- Mechanical Engineering and Vibrations Research
- Health Systems, Economic Evaluations, Quality of Life
- Radiation Dose and Imaging
- Health Promotion and Cardiovascular Prevention
- Cancer Risks and Factors
- Climate Change and Health Impacts
- Structural Health Monitoring Techniques
- Hydraulic and Pneumatic Systems
- Medical Imaging and Analysis
- Global Cancer Incidence and Screening
University of Shanghai for Science and Technology
2023
Peking Union Medical College Hospital
2009-2023
Chinese Academy of Medical Sciences & Peking Union Medical College
2019-2023
Tianjin Medical University Cancer Institute and Hospital
2012
The non-cancer disease mortality (1950-1995) among 27 011 medical diagnostic X-ray workers was compared to that of 25 782 other specialists employed between 1950 and 1980 provide evidence human death produced by protracted fractionated exposure ionising radiation assess the resultant risk. total significantly higher than in control group (RR = 1.2, 95% CI: 1.1-1.3). Significantly elevated risks were found for blood-forming system diseases (mainly from aplastic anaemia), circulatory coronary...
Aiming at the problem that current isotropic virtual material-based modeling method for dynamic of sliding joints can hardly reflect difference between normal and tangential mechanical properties, which restricts quality, a transversely material model is introduced to comprehensively describe properties joints. Firstly, based on Deep Neural Network (DNN) constructed relationship parameters [Formula: see text] natural frequencies. Then, using cuckoo search algorithm, are determined....
Abstract BACKGROUND The preoperative prediction of transsphenoidal surgical (TSS) response is important for determining individual treatment strategies acromegaly. Therefore, this study aimed to predict TSS in a non-invasive way based on radiomic analysis. MATERIAL AND METHODS 273 patients with acromegaly were enrolled and divided into primary (n=180) validation cohorts (n=93) according time point. Radiomic features extracted from the MR images determined using ‘Elastic Net’ feature...