A5042820576- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
- Mechanical Behavior of Composites
- Cerebrovascular and Carotid Artery Diseases
- Functional Brain Connectivity Studies
- Dementia and Cognitive Impairment Research
- MRI in cancer diagnosis
- Advanced X-ray and CT Imaging
- Liver Disease and Transplantation
- Textile materials and evaluations
- Additive Manufacturing and 3D Printing Technologies
- Frailty in Older Adults
- Colorectal and Anal Carcinomas
- Forensic Entomology and Diptera Studies
- Berberine and alkaloids research
- Mental Health Research Topics
- Helminth infection and control
- Bird parasitology and diseases
- Voice and Speech Disorders
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare and Education
- Flavonoids in Medical Research
- Spondyloarthritis Studies and Treatments
Chongqing Medical University
2020-2025
Second Affiliated Hospital of Chongqing Medical University
2020-2025
Dalian Medical University
2020-2025
Lund University
2024-2025
Jiaxing University
2024
Tiangong University
2024
Shantou University
2022
First Affiliated Hospital of Shantou University Medical College
2022
Guangzhou Medical University
2020
First Hospital of Lanzhou University
2020
The aim of this study was to investigate the chest computed tomography (CT) findings in patients with confirmed coronavirus disease 2019 (COVID-19) and evaluate its relationship clinical features.Study sample consisted 80 diagnosed as COVID-19 from January February 2020. CT images data were reviewed, between them analyzed.Totally, included. With regards manifestations, 58 (73%) had cough, 61 (76%) high temperature levels. most frequent abnormalities observed ground glass opacity (73/80...
Background Accurately predicting whether and when mild cognitive impairment (MCI) will progress to Alzheimer's disease (AD) is of vital importance help developing individualized treatment plans defer the occurrence irreversible dementia. Purpose To develop validate radiomics models multipredictor nomogram for time progression (TTP) from MCI AD. Study Type Retrospective. Population One hundred sixty‐two patients (96 men 66 women [median age, 72; age range, 56–88 years]) were included Disease...
Background Accurately predicting the progression of mild cognitive impairment (MCI) to Alzheimer’s disease (AD) is a challenging task, which crucial for helping develop personalized treatment plans improve prognosis. Purpose To new technology early prediction AD using artificial intelligence and cortical features on MRI. Methods A total 162 MCI patients were included from Disease Neuroimaging Initiative (ADNI) database. By 3D-MPRAGE sequence, T1W images each patient acquired. All randomly...
Abstract Songbird migration involves frequent migratory flights interrupted by several days of stopover to refuel. For first‐year birds, this entails stopping in unfamiliar locations exploit local resources and maximise fuelling rates. However, stopovers also pose mortality risks due predator presence. We aimed determine whether auditory cues from avian predators with differing hunting strategies elicit distinct anti‐predator responses European robins ( Erithacus rubecula ) during autumn...
Different machine learning algorithms have different characteristics and applicability. This study aims to predict ruptured intracranial aneurysms by radiomics models based on evaluate their differences in the same data condition. A total of 576 patients with (192 384 unruptured aneurysms) from two institutions are included randomly divided into training validation cohorts a ratio 7:3. Of 107 features extracted computed tomography angiography images, seven stood out. Then, 12 common...
Pre-eclampsia (PE), a major cause of perinatal morbidity and mortality, accounts for up to 14 % mortality maternal 18 fetal or infant mortalities. However, the pathogenesis process PE remains unclear. The aim this study was identify differentially expressed microRNAs (miRNAs) in peripheral blood exosomes early-onset patients versus healthy pregnant women using high-throughput sequencing, find candidate miRNAs as molecular markers. Methods: Peripheral samples were collected from five...
To improve the N biomarker in amyloid/tau/neurodegeneration system by radiomics and study its value for predicting cognitive progression individuals with mild impairment (MCI). A group of 147 healthy controls (HCs) (72 male; mean age ± standard deviation, 73.7 6.3 years), 197 patients MCI (114 72.2 7.1 128 Alzheimer's disease (AD) (74 8.4 years) were included. Optimal A, T, biomarkers discriminating HC AD selected using receiver operating characteristic (ROC) curve analysis. model containing...
Endangered Przewalski's horses have faced severe infections from
To investigate whether the combination of radiomics derived from brain high-resolution T1-weighted imaging and automatic machine learning could diagnose subcortical ischemic vascular cognitive impairment with no dementia (SIVCIND) accurately. A total 116 right-handed participants involving 40 SIVCIND patients 76 gender-, age-, educational experience-matched normal controls (NM) were recruited. 7,106 quantitative features bilateral thalamus, hippocampus, globus pallidus, amygdala, nucleus...
The aim of our study was to explore the dynamic functional alterations in brain patients with subjective cognitive decline (SCD) and their relationship apolipoprotein E (APOE) €4 alleles. In total, 95 SCD 49 healthy controls (HC) underwent resting-state magnetic resonance imaging (rs-fMRI). Then, mean time series 90 cortical or subcortical regions were extracted based on anatomical automatic labeling (AAL) atlas from preprocessed rs-fMRI data. static connectome (SFC) (DFC) constructed...
Purpose We aimed to investigate the multilevel impairments of brain structural network in patients with minimal hepatic encephalopathy (MHE). Methods Twenty-two MHE and 22 well-matched healthy controls (HC) underwent magnetic resonance imaging (MRI) scans neuropsychological evaluations. Individual networks were constructed using diffusion tensor imaging. Comparing HC, we investigated possible MHE, by applying graph-theory approaches analyze topological organization at global, modular, local...
Abstract Introduction The significant abnormalities of precuneus (PC), which are associated with brain dysfunction, have been identified in cirrhotic patients covert hepatic encephalopathy (CHE). present study aimed to apply radiomics analysis identify the radiomic features PC and their subregions, combine clinical risk factors, then build evaluate classification models for CHE diagnosis. Methods 106 HBV‐related (54 had current 52 non‐CHE) underwent three‐dimensional T1‐weighted imaging. For...
Although overt hepatic encephalopathy (OHE) patients were shown to have bilaterally symmetrical structural and functional abnormalities in the whole brain, few studies focused on bilateral cerebral hemisphere commissural fibers measured coordination between hemispheres. This study aimed investigate changes of corpus callosum (CC) interhemispheric with OHE test hypothesis that abnormal CC induced by impairs cirrhosis patients.The microstructural integrity volumes each subregion analyzed...
Abstract Three‐dimensional layer‐to‐layer interlock woven composites (3D LTLIWCs) have been widely used in various aero‐engine blade models because of their excellent near‐net forming capabilities for complex components, as well significant advantages structural design flexibility and high damage tolerance. In this paper, a typical two new 3D LTLIWCs, specifically including 1/3 twill (S‐I), modified satin (S‐II), stuffer (S‐III), were manufactured by methods: varying interweaving frequency...
Abstract Background To compare changes in the composition of paraspinal muscles patients with ankylosing spondylitis (AS) and matched healthy controls using T2 mapping IDEAL correlate quantitative magnetic resonance imaging (qMRI) results clinical assessments AS patients. Method In total, 37 were enrolled case control study. without fat saturation used to assess multifidus (MF) erector spinae (ES) at levels L3/L4 L4/L5 for all subjects. Mean non-fatsat , fatsat cross-sectional area (CSA),...