A5046241827- Glaucoma and retinal disorders
- Dementia and Cognitive Impairment Research
- Corneal surgery and disorders
- Alzheimer's disease research and treatments
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neurological Disease Mechanisms and Treatments
- Endometrial and Cervical Cancer Treatments
- EEG and Brain-Computer Interfaces
- Intraocular Surgery and Lenses
- Retinal Diseases and Treatments
- Retinal Imaging and Analysis
- Brain Tumor Detection and Classification
- Cerebrovascular and Carotid Artery Diseases
- Retinal Development and Disorders
- Endometriosis Research and Treatment
- Ocular and Laser Science Research
- Cervical Cancer and HPV Research
- Reproductive System and Pregnancy
- Optical Imaging and Spectroscopy Techniques
- Cancer Risks and Factors
- Radiomics and Machine Learning in Medical Imaging
- Ocular Surface and Contact Lens
- MRI in cancer diagnosis
- Hedgehog Signaling Pathway Studies
Peking University Shenzhen Hospital
2023-2025
Peking University
2015-2025
Peking University Third Hospital
2010-2025
Nanjing Surveying and Mapping Research Institute (China)
2025
Chinese University of Hong Kong
2020-2024
Prince of Wales Hospital
2023-2024
Nanjing Medical University
2022-2023
Zhejiang Chinese Medical University
2021
Capital Medical University
2017-2018
University of Michigan
2013
Glaucoma is one of the leading causes irreversible vision loss. Many approaches have recently been proposed for automatic glaucoma detection based on fundus images. However, none existing can efficiently remove high redundancy in images detection, which may reduce reliability and accuracy detection. To avoid this disadvantage, paper proposes an attention-based convolutional neural network (CNN) called AG-CNN. Specifically, we first establish a large-scale (LAG) database, includes 11 760...
Extracting fragmented cropland is essential for effective management and sustainable agricultural development. However, extracting presents significant challenges due to its irregular blurred boundaries, as well the diversity in crop types distribution. Deep learning methods are widely used land cover classification. This paper proposes ConvNeXt-U, a lightweight deep network that efficiently extracts while reducing computational requirements saving costs. ConvNeXt-U retains U-shaped...
Abstract INTRODUCTION Novel fluid biomarkers for tracking neurodegeneration specific to Alzheimer's disease (AD) are greatly needed. METHODS Using two independent well‐characterized cohorts ( n = 881 in total), we investigated the group differences plasma N‐terminal tau (NT1‐tau) fragments across different AD stages and their association with cross‐sectional longitudinal amyloid beta (Aβ) plaques, tangles, brain atrophy, cognitive decline. RESULTS Plasma NT1‐tau significantly increased...
This study evaluates the effectiveness and safety of intravitreal aflibercept injections in Chinese patients with neovascular glaucoma (NVG). We conducted a single-center, retrospective, observational that identified adult diagnosed NVG who received between January 1, 2018, June 30, 2022, by reviewing medical records. The were followed-up for month. Changes intraocular pressure (IOP) levels improvements neovascularization iris (NVI) grades at weeks 1 4 compared to baseline main outcomes...
Background: Cholinergic dysfunction plays an important role in mild cognitive impairment (MCI). The basal nucleus of Meynert (BNM) provides the main source cortical cholinergic innervation. Previous studies have characterized structural changes forebrain individuals at risk developing Alzheimer's disease (AD). However, whether and how functional connectivity BNM (BNM-FC) is altered MCI remains unknown. Objective: aim this study was to identify alterations BNM-FC with as compared healthy...
Abstract Aims Temporal lobe epilepsy (TLE), often associated with cognitive impairment, is one of the most common types medically refractory epilepsy. Deep brain stimulation (DBS) shows considerable promise for treatment TLE. However, optimal targets and parameters DBS to control seizures related impairment are still not fully illustrated. Methods In present study, we evaluated therapeutic potential in medial septum (MS) on function mouse acute chronic models. Results We found that MS...
Abstract Introduction We compared the machine learning‐derived, MRI‐based Alzheimer's disease (AD) resemblance atrophy index (AD‐RAI) with plasma neurofilament light chain (NfL) level in predicting conversion of early AD among cognitively unimpaired (CU) and mild cognitive impairment (MCI) subjects. Methods recruited participants from Disease Neuroimaging Initiative (ADNI) who had following data: clinical features (age, gender, education, Montreal Cognitive Assessment [MoCA]), structural...
Purpose: To compare the ciliary body morphology between Caucasians and Chinese, to determine associated anterior segment parameters.
Background: The cornu ammonis (CA), as part of the hippocampal formation, represents a primary target region neural degeneration in amnestic mild cognitive impairment (aMCI). Previous studies have revealed subtle structural deficits CA subregions (CA1-CA3, bilateral) aMCI; however, how network function is impacted by aMCI not clear. present study examined longitudinal changes resting state functional connectivity (FC) each subregion and these relate to neuropsychological profiles aMCI....
Alzheimer's Disease-resemblance atrophy index (AD-RAI) is an MRI-based machine learning derived biomarker that was developed to reflect the characteristic brain associated with AD. Recent study showed AD-RAI (≥0.5) had best performance in predicting conversion from mild cognitive impairment (MCI) dementia and cognitively unimpaired (CU) MCI. We aimed validate of detecting preclinical prodromal recruited 128 subjects (MCI=50, CU=78) two cohorts: CU-SEEDS ADNI. Amyloid (A+) tau (T+) status...
AIM: To compare the surgical outcomes of glaucoma drainage device implantation (GDI) and trans-scleral neodymium:YAG cyclophotocoagulation (CPC) in management refractory after Descemet-stripping automated endothelial keratoplasty (DSAEK). METHODS: This retrospective study on observational case series enrolled 29 patients who underwent DSAEK posterior anti-glaucoma surgery (15 with GDI 14 CPC). The main outcome measures were intraocular pressure (IOP), success rate (defined as IOP 6–21 mm Hg...
Standard automated perimetry does not sufficiently detect early open-angle glaucoma (OAG) in the clinic. New visual function tests for damage are therefore needed. The present study evaluated whether an isolated-check evoked potential (icVEP) could be used to abnormalities early-stage OAG and explore related factors.This was a cross-sectional study. Thirty-seven patients with field loss (mean deviation ≥ -6.00 dB) detected by Humphrey Field Analyzer (30-2 SITA program) 26 controls were...
Background: To investigate the factors associated with postoperative recurrence in patients ovariantype endometriosis (EMS) who were treated conservative surgery and to provide ideas for preventing disease advance of treatment. Methods:The study included data from 289 inpatients ovarian-type EMS underwent laparoscopic Department Gynecology, Changzhou Maternal Child Health Care Hospital, Nanjing Medical University, 2018 2020.We collected general clinical data, recurrence, drug treatment,...
Cervical cancer (CC) is one of the most common gynaecologic malignancies. The prognosis stage IIIC1p cervical patients treated by surgery heterogeneous. Therefore, aim this study was to analyse factors influencing in such patients.From January 2012 December 2017, 102 with who underwent surgical treatment Department Gynaecology and Tumours, Changzhou Maternal Child Health Hospital, had pelvic lymph node metastasis confirmed pathology were analysed retrospectively. All radical hysterectomy...
Abstract Medulloblastoma is one of the most frequent and aggressive tumors childhood. The Sonic hedgehog (Shh) pathway, related to human development, altered in medulloblastomas: genes like Ptch, Smo, or Sufu suffer mutations 15% 25% these tumors. We tested Shh inhibition Daoy medulloblastoma cell line by two methods: a molecular (direct Gli1 siRNA inhibition); pharmacological upstream Gli1, cyclopamine. Afterwards, comparison cellular responses was done. proved that MTT viability, migration...
To compare the ciliary body thickness between eyes with primary angle closure (PAC) and angle-closure glaucoma (PACG) normal eyes, to investigate association processes situation.In this cross-sectional study, 57 patients PAC/PACG were matched subjects after propensity score matching (PSM) adjusting for age gender. All underwent conventional ocular examinations ultrasound biomicroscopy (UBM) examination, among which performed one month laser peripheral iridotomy (LPI). Quantitative parameters...
Pilot study showed that Alzheimer's disease resemblance atrophy index (AD-RAI), a machine learning-derived MRI-based neurodegeneration biomarker of AD, achieved excellent diagnostic performance in diagnosing AD with moderate to severe dementia.
Abstract Background Mild cognitive impairment (MCI) refers to a transitional stage between the cognitively unimpaired (CU) and dementia, which is probable in Alzheimer's disease (AD) continuum. Neuropsychological assessments structural MRI are primary clinical examinations applied for diagnosing MCI. Hippocampal volume (HV) medial temporal lobe atrophy (MTA) as recognized AD biomarkers most frequently used imaging markers application. However, HV or MTA not sensitive enough early of AD....
Abstract Background Alzheimer’s disease (AD) resemblance atrophy index (AD‐RAI) is a novel MRI‐based machine‐learning derived biomarker for AD that valid in the detection of early AD. We aimed to investigate association between serial change AD‐RAI and cognitive progression overtime among cognitively unimpaired (CU) mild impairment (MCI) subjects with without A+T+ (i.e., Aβ+ Tau+) compare it other conventional MRI biomarkers hippocampal volume (HV), fraction (HF), brain parenchymal (BPV)...
Abstract Background Alzheimer’s disease (AD) resemblance atrophy index (AD‐RAI) is a novel MRI‐based machine‐learning derived biomarker for AD that valid in the detection of early AD. We aimed to investigate association between serial change AD‐RAI and cognitive progression overtime among cognitively unimpaired (CU) mild impairment (MCI) subjects with without A+T+ (i.e., Aß+ Tau+) compare it other conventional MRI biomarkers hippocampal volume (HV), fraction (HF), brain parenchymal (BPV)...
Abstract Background Mild cognitive impairment (MCI) refers to a transitional stage between the cognitively unimpaired (CU) and dementia, which is probable in Alzheimer’s disease (AD) continuum. Neuropsychological assessments structural MRI are primary clinical examinations applied for diagnosing MCI. Hippocampal volume (HV) medial temporal lobe atrophy (MTA) as recognized AD biomarkers most frequently used imaging markers application. However, HV or MTA not sensitive enough early of AD....