A5033604355- Advanced MRI Techniques and Applications
- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- Osteoarthritis Treatment and Mechanisms
- SARS-CoV-2 and COVID-19 Research
- Lower Extremity Biomechanics and Pathologies
- Fetal and Pediatric Neurological Disorders
- Cerebrospinal fluid and hydrocephalus
- Knee injuries and reconstruction techniques
- Radiomics and Machine Learning in Medical Imaging
- Advanced Image Processing Techniques
- Cerebrovascular and Carotid Artery Diseases
- Ferroptosis and cancer prognosis
- Technology and Security Systems
- Teratomas and Epidermoid Cysts
- Bone health and osteoporosis research
- Neural dynamics and brain function
- Bone health and treatments
- Hearing Loss and Rehabilitation
- Gastrointestinal Tumor Research and Treatment
- Immune cells in cancer
- Advanced Neuroimaging Techniques and Applications
- COVID-19 and healthcare impacts
- Image and Signal Denoising Methods
- Wireless Sensor Networks and IoT
Army Medical University
2019-2025
Southwest Hospital
2019-2025
The Affiliated Yongchuan Hospital of Chongqing Medical University
2022
Chongqing Medical University
2022
Gannan Normal University
2021
State Council of the People's Republic of China
2020
Abstract Spinocerebellar ataxia type 3 (SCA3) is an uncommon inherited (autosomal dominant) neurodegenerative disorder caused by abnormal accumulation of ataxin-3 protein. The perivascular space (PVS) burden reflects protein clearance and may worsen in SCA3 disease. This study aimed to quantify the PVS investigate relationship between clinical characteristics individuals with SCA3. enrolled 43 patients age- sex-matched healthy controls (HCs). cross-sectional assessed severity using Scale for...
Introduction Glioma is the most common primary tumor in brain.Integrin beta 2(ITGB2) a member of leukocyte integrin family (leukocyte integrin), participating lymphocyte recycling and homing, cell adhesion, surface-mediated signal transduction. However, few studies on ITGB2 gliomas have been reported yet.This study first discussed relationship between expression clinical characterization glioma prognostic significance its methylation low-grade glioma. Methods We collected Clinical data...
In this paper, we propose an efficient self-supervised arbitrary-scale super-resolution (SR) framework to reconstruct isotropic magnetic resonance (MR) images from anisotropic MRI inputs without involving external training data. The proposed builds a dataset using "in-the-wild" MR volumes with arbitrary image resolution. We then formulate the 3D volume SR task as problem for 2D slices. volume's high-resolution (HR) plane is used build HR-LR pairs model training. further adapt implicit neural...
Background: Endoscopic ultrasonography (EUS) is widely used as a staging modality for gastric cancer. However, the results of studies on use EUS N in cancer vary. This study aimed at studying overall diagnostic accuracy Methods: Published were identified through searching MEDLINE, Web Science, EMBASE, SpringerLink and ScienceDirect databases. A bivariate random effect model was to estimate sensitivity, specificity, positive likelihood ratio (PLR), negative (NLR), odds (DOR). hierarchical...
Objective Acoustic neuroma (AN) is a clinically common benign tumor. There are few neuropsychological investigations for AN, especially cognitive neuropsychology. Herein, the study probed into function changes in AN patients and expounded possible mechanisms through structural functional magnetic resonance imaging (fMRI). Materials methods Neuropsychological tests were performed between 64 with 67 healthy controls. Then, using resting-state fMRI, of decline further explored by calculating...
Background The differential effects of various exercises on knee joint injury have not been well documented. Improper physical training can cause irreversible damage to the joint. MRI is generally used precisely analyze morphological and biochemical changes in cartilage. We compared long-walking regular daily acute chronic injuries as cartilage structure freshmen students. Methods A total 23 young male college were recruited participate an 8-day 240 km long distance walk a one-year training....
The study is designed to explore the chest CT features of different clinical types coronavirus disease 2019 (COVID-19) pneumonia based on a Chinese multicenter dataset using an artificial intelligence (AI) system.A total 164 patients confirmed COVID-19 were retrospectively enrolled from 6 hospitals. All divided into mild type (136 cases) and severe (28 according their manifestations. severity score quantitative calculated by AI detection evaluation system with correction radiologists....
Motivation: The core components mediating the Papez circuit are important targets or localization indicators for clinical development of deep brain stimulation (DBS) in treating Alzheimer's disease (AD), refractory epilepsy, and other diseases. Goal(s): Exploring learning model segmentation 7T-MRIApproach: Fifty-five healthy volunteers were enrolled, SegResVAE Net was used to segment components. Results: exhibited best Dice scores mammillary body, mammillothalamic tract, average all Impact:...
The choroid plexus (CP) may play a crucial role in brain degeneration. We aim to assess whether CP cysts (CPCs), defined using ultra-high field magnetic resonance imaging (MRI), relate aging and neurodegeneration. used multi-sequence 7T MRI observe CPCs, characterizing their presence characteristics healthy younger controls, older controls (OCs), patients with Alzheimer's disease (AD), Parkinson's (PD), uremic encephalopathy. volume (CPV) CPC were compared across groups, associations between...
Background: We aimed to explore the chest CT features of different clinical types COVID-19 pneumonia based on a Chinese multicenter dataset using an artificial intelligence (AI) system. Methods: A total 164 patients confirmed were retrospectively enrolled from 6 hospitals. All divided into mild type (136 cases) and severe (28 according their manifestations. The severity score quantitative calculated by AI detection evaluation system with correction radiologists. imaging analyzed. Findings:...
In this paper, we propose an efficient self-supervised arbitrary-scale super-resolution (SR) framework to reconstruct isotropic magnetic resonance (MR) images from anisotropic MRI inputs without involving external training data. The proposed builds a dataset using in-the-wild MR volumes with arbitrary image resolution. We then formulate the 3D volume SR task as problem for 2D slices. volume's high-resolution (HR) plane is used build HR-LR pairs model training. further adapt implicit neural...
Magnetic resonance imaging (MRI) is the preferred choice for evaluating knee joint injury, which commonly occurs during physical training. In this study, we compared effects of long-walking and regular daily training on injuries cartilage microstructure in 23 young freshmen by analyzing 3D-DESSWE T2 mapping images using automatic segmentation prototype software. Our results demonstrated that strengthens joints protects against injury increasing volume cartilage. Moreover, caused short-term...