A5088864000- Retinal Diseases and Treatments
- Retinal Imaging and Analysis
- Functional Brain Connectivity Studies
- Glaucoma and retinal disorders
- Multiple Sclerosis Research Studies
- Ocular Surface and Contact Lens
- Corneal surgery and disorders
- Head and Neck Cancer Studies
- Ophthalmology and Visual Impairment Studies
- Neurogenesis and neuroplasticity mechanisms
- Retinal Development and Disorders
- Advanced Neuroimaging Techniques and Applications
- Corneal Surgery and Treatments
- Tea Polyphenols and Effects
- Remote-Sensing Image Classification
- Nerve injury and regeneration
- Remote Sensing and Land Use
- Mental Health Research Topics
- Alzheimer's disease research and treatments
- Bipolar Disorder and Treatment
- Neuroinflammation and Neurodegeneration Mechanisms
- Retinal and Optic Conditions
- Retinoids in leukemia and cellular processes
- Nuclear Receptors and Signaling
- Atomic and Subatomic Physics Research
Shanghai Eye Disease Prevention & Treatment Center
2024-2025
Shanghai Jiao Tong University
2014-2025
Shanghai First People's Hospital
2022-2025
The University of Sydney
2017-2025
Macquarie University
2017-2025
Zhejiang Shuren University
2023-2025
Second Affiliated Hospital of Zhejiang University
2018-2024
Central China Normal University
2024
Sun Yat-sen University
2014-2024
Central South University
2022-2024
The spread of neurodegeneration through the human brain network is reported as underlying progression neurodegenerative disorders. However, exact mechanisms remain unknown. visual pathway characterized by its unique hierarchical architecture and, therefore, represents an ideal model to study trans-synaptic degeneration, in contrast complexity neural connectivity whole brain. Here we show two specifically selected patient cohorts, including (i) glaucoma patients with symmetrical bilateral...
Objectives: To investigate the effects of polyvinylpyrrolidone (i.e., povidone) iodine (PVP-I) in different concentrations on rabbit's cornea. Methods: PVP-I various was instilled into conjunctival sac and injected anterior chamber independently. The toxicity to cornea assessed by fluorescence dye, specular microscopy, corneal pachymetry. Results: After instillation, severe epithelial damage observed at 5.0% 2.5%. injection, significant edema 2.0% 1.5%. Conclusions: It can be safe feasible...
(−)-Epigallocatechin-3-gallate (EGCG) is the most extensive studied tea polyphenol for its anti-cancer function. In this study, we report a novel mechanism of action EGCG-mediated cell death by identifying critical role lysosomal membrane permeabilization (LMP). First, EGCG-induced in human cancer cells (both HepG2 and HeLa) was found to be caspase-independent accompanied evident cytosolic vacuolization, only observable when were treated serum-free medium. The vacuolization observed...
Major depressive disorder (MDD) is accompanied by atypical brain structure. This study first presents the alterations in cortical surface of patients with MDD using multidimensional structural patterns that reflect different neurodevelopment. Sixteen first-episode, untreated and 16 matched healthy controls underwent a magnetic resonance imaging (MRI) scan. The maps thickness, area, gyrification were examined surface-based morphometry (SBM) approach. Increase thickness was observed right...
Background: Corneal stromal cells (CSCs) are components of the corneal endothelial microenvironment that can be induced to form a functional tissue-engineered endothelium. Adipose-derived mesenchymal stem (ADSCs) have been reported as an important component regenerative medicine and cell therapy for damage. We demonstrated treatment with ADSCs leads phenotypic changes in CSCs vitro. However, underlying mechanisms such ADSC-induced remain unclear. Methods: were isolated from New Zealand white...
Target detection aims to locate targets of interest within a specific scene. The traditional model-driven detectors based on signal processing have proved be very effective. However, the performance such methods relies heavily model assumption, which is limited by discrepancy with real hyperspectral images (HSIs) data. In this article, target method through tree-structured encoding (TD-TSE) for HSIs proposed. Instead modeling and background extract valid features, we construct binary tree...
To compare functional and structural changes in the retina patients with aquaporin-4 immunoglobulin G (AQP4-IgG)-positive neuromyelitis optica spectrum disorder (NMOSD) multiple sclerosis (MS).Cross-sectional study; biochemical study of human retinas.A total 181 participants, including 22 consecutive (44 eyes) NMOSD, 131 (262 (MS), 28 normal subjects (56 eyes). In addition, 8 eyeballs from healthy donors were used for analysis.Full-field electroretinography (ERG) spectral-domain OCT...
Andrographolide (AG) is an abundant component of plants the genus Andrographis and has a number beneficial properties including neuroprotective, anticancer, anti-inflammatory, antidiabetic effects. Despite numerous pharmacological studies, precise mechanism AG still ambiguous. Thus, in present study, we investigated molecular mechanisms its target proteins as they pertain to anti-inflammatory responses. suppressed production nitric oxide (NO) prostaglandin E 2 (PGE ), well mRNA abundance...
Objective Evidence of the brain network involved in cognitive dysfunction has been inconsistent for major depressive disorder (MDD), especially during early stage MDD. This study seeks to examine abnormal cognition connectivity (CCN) MDD within whole brain. Methods Sixteen patients with and 16 health controls were scanned resting-state using 3.0 T functional magnetic resonance imaging (fMRI). All first episode without any history antidepressant treatment. Both left right dorsolateral...
Given the prior information of target, hyperspectral target detection focuses on exploiting spectral differences to separate objects interest from background, which can be treated as retrieval (IR) task in machine learning (ML). Most traditional methods work original feature space and rely heavily specific assumptions, cannot guarantee effective extraction features for background images (HSIs). Mass estimation (ME) is a base modeling mechanism that has been proven effectively solve problems...
Automated detection of retinal structures, such as vessels (RV), the foveal avascular zone (FAZ), and vascular junctions (RVJ), are great importance for understanding diseases eye clinical decision-making. In this paper, we propose a novel Voting-based Adaptive Feature Fusion multi-task network (VAFF-Net) joint segmentation, detection, classification RV, FAZ, RVJ in optical coherence tomography angiography (OCTA). A task-specific voting gate module is proposed to adaptively extract fuse...
Purpose To estimate the influence of prolonged radiation treatment time (RTT) on survival outcomes in nasopharyngeal carcinoma after continuous intensity-modulated therapy. Methods and Materials Retrospectively review 321 patients with NPC treated between October 2009 December 2010 all them underwent simultaneous accelerated The fractionated dose was 2–2.47 Gy/F (median 2.27 Gy), total for region 64–74 Gy/ 28–33 fractions. association RTT interruption PFS, LRFS DFFS were assessed by...
Objective: Accurate diagnosis of early Alzheimer disease (AD) plays a critical role in preventing the progression memory impairment. We aimed to develop new deep belief network (DBN) framework using 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) metabolic imaging identify patients at mild cognitive impairment (MCI) stage with presymptomatic AD and discriminate them from other MCI. Methods: 18F-fluorodeoxyglucose-PET images 109 recruited ongoing longitudinal Alzheimer’s...
Abstract Background Severe acute respiratory syndrome (SARS) has been initiating pandemics since the beginning of century. In December 2019, world was hit again by a devastating SARS episode that so far infected almost four million individuals worldwide, with over 200,000 fatalities having already occurred mid-April 2020, and infection rate continues to grow exponentially. coronavirus 2 (SARS-CoV-2) is single stranded RNA pathogen which characterised high mutation rate. It vital explore...
Aquaculture has important economic and environmental benefits. With the development of remote sensing deep learning technology, coastline aquaculture extraction achieved rapid, automated, high-precision production. However, some problems still exist in extracting large-scale based on high-resolution images: (1) generalization models caused by diversity breeding areas; (2) confusion target identification complex background interference land sea; (3) boundary area is difficult to extract...
Alzheimer's disease (AD) is a global healthcare challenge lacking simple and affordable detection method. We propose novel deep learning framework, Eye-AD, to detect Early-onset Disease (EOAD) Mild Cognitive Impairment (MCI) using OCTA images of retinal microvasculature choriocapillaris. Eye-AD employs multilevel graph representation analyze intra- inter-instance relationships in layers. Using 5751 from 1671 participants multi-center study, our model demonstrated superior performance EOAD...