A5101463225- Radiomics and Machine Learning in Medical Imaging
- Prostate Cancer Diagnosis and Treatment
- MRI in cancer diagnosis
- Remote Sensing and LiDAR Applications
- Lymphoma Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- CNS Lymphoma Diagnosis and Treatment
- Land Use and Ecosystem Services
- Smart Agriculture and AI
- Remote Sensing in Agriculture
- Urologic and reproductive health conditions
- Cardiomyopathy and Myosin Studies
- Soil Geostatistics and Mapping
- Pregnancy and preeclampsia studies
- Remote Sensing and Land Use
- Analytical chemistry methods development
- Impact of Light on Environment and Health
- Glioma Diagnosis and Treatment
- Cardiac Structural Anomalies and Repair
- Cardiovascular Function and Risk Factors
- Renal cell carcinoma treatment
- Analytical Chemistry and Chromatography
- Inflammatory Myopathies and Dermatomyositis
- Error Correcting Code Techniques
- Marine and fisheries research
Hainan Medical University
2024-2025
Beijing Children’s Hospital
2022-2025
Capital Medical University
2022-2025
Fudan University Shanghai Cancer Center
2011-2025
Hainan General Hospital
2024-2025
Gansu Institute of Political Science and Law
2024
Peking Union Medical College Hospital
2018-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2018-2024
University of Hong Kong
2023-2024
Shanghai Medical College of Fudan University
2011-2024
The arrival of new-generation, high-spatial-resolution satellite imagery (e.g., Ikonos) has opened up new opportunities for detailed mapping and analysis urban land use. Drawing on the traditional approach used in aerial photointerpretation, this study investigates an “object-oriented” method to classify a large area into land-use categories. Spatial metrics texture measures are describe spatial characteristics land-cover objects within each region as derived from interpreted photographs. In...
A novel transition-metal-free three-component reaction for the construction of imidazo[1,2-a]pyridines has been developed. It represents a facile approach formation C–N, C–O, and C–S bonds from ynals, pyridin-2-amines, alcohols or thiols.
<h3>Importance</h3> Some studies based on proportions of patients with perforated appendicitis (PA) among all acute (AA) have found an association between socioeconomic status (SES) and risk perforation. A potential limitation is their use proportions, which assumes that incidence AA evenly distributed across populations at risk. This assumption may be invalid, SES a more complex both PA. <h3>Objective</h3> To generate population-based incidences PA to examine geographic patterns alongside...
B10 and B10pro cells suppress immune responses via secreting interleukin (IL)-10. However, their regulators underlying mechanisms, especially in human autoimmune diseases, are elusive. This study aimed to address these questions rheumatoid arthritis (RA), one of the most common highly disabling diseases.
The aim of this study was to assess combining location, acceleration and machine learning technologies detect estrus in dairy cows. Data were obtained from 12 cows, which monitored continuously for days. A neck mounted device collected 25,684 records location acceleration. Four machine-learning approaches tested (K-nearest neighbor (KNN), back-propagation neural network (BPNN), linear discriminant analysis (LDA), classification regression tree (CART)) automatically identify cows indicators...
Inspired by commercially established fluxapyroxad as the lead compound of novel efficient antifungal ingredients, pyrazole carboxylate derivatives containing a flexible thiazole backbone were successfully designed, synthesized, and detected for their in vitro vivo biological activities against eight agricultural fungi. The bioassay results showed that 24 revealed excellent bioactivities Botrytis cinerea Sclerotinia sclerotiorum, with median effective concentrations (EC50) 0.40 3.54 mg/L,...
Background To compare stretched‐exponential and monoexponential model diffusion‐weighted imaging (DWI) in prostate cancer normal tissues. Methods Twenty‐seven patients with underwent DWI exam using b‐values of 0, 500, 1000, 2000 s/mm 2 . The distributed diffusion coefficients (DDC) α values tissues were obtained apparent coefficient (ADC) model. ADC, DDC (both 10 −3 mm /s), (range, 0–1) compared among different ADC also correlated each tissue, the standardized differences between Results...
Acute kidney injury (AKI) is common in hospitalized children. A post-AKI outcomes prediction model important for the early detection of clinical associated with AKI so that management pediatric patients can be initiated. Three retrospective cohorts were set up based on two hospitals China, which 8205 children suffered during hospitalization. Two evaluated, i.e. hospital mortality and dialysis within 28 days after occurrence. Genetic Algorithm was used feature selection, a Random Forest built...
<title>Abstract</title> Background Prostate cancer (PCa) is the second most common male cancer. Despite undergoing radical prostatectomy (RP), 20–30% of patients experience recurrence within 5 years. Unsupervised learning method based on radiomics features has proved its efficiency for predicting in with breast and lung In this study, we sought to identify subgroups PCa after RP using an unsupervised clustering clinical MRI features, further evaluate prognostic value 5-year progression-free...
Face animation is a challenging task. Existing model-based methods (utilizing 3DMMs or landmarks) often result in model-like reconstruction effect, which doesn't effectively preserve identity. Conversely, model-free approaches face challenges attaining decoupled and semantically rich feature space, thereby making accurate motion transfer difficult to achieve. We introduce the semantic facial descriptors learnable disentangled vector space address dilemma. The approach involves decoupling...
How to assess the importance of predictors in systematic reviews (SR) prediction models remains largely unknown. The commonly used indicators for individual include parameter estimates, information entropy, etc., but they cannot be quantitatively synthesized through meta-analysis. We explored synthesis method a simulation study, which mainly solved following four methodological issues: (1) whether synthesize original values or ranks; (2) normalize ranks same dimension; (3) and how impute...
The correlation between census population density and Ikonos image texture was explored. spatial unit for the analysis blocks with homogenous land-use. described using three methods: gray-level co-occurrence matrix (GLCM), semi-variance, metrics. Linear regression conducted to explore density. It found that although exists, its degree varies depending on method used describe texture. highest is given by metrics method. This result suggests not strong enough predict or forecast residential...
Empirical research in DEM accuracy assessment has observed that errors are correlated with terrain morphology, sampling density, and interpolation method. However, theoretical reasons for these correlations have not been accounted for. This paper introduces approximation theory adapted from computational science as a new framework to assess the of DEMs interpolated topographic maps. By perceiving generation piecewise polynomial simulation unknown terrain, overall is described by maximum...