Xiaoting Wang

ORCID: 0000-0003-4575-0932
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About
Contact & Profiles
Research Areas
  • Retinal Imaging and Analysis
  • Ultrasound in Clinical Applications
  • Hemodynamic Monitoring and Therapy
  • Retinal and Optic Conditions
  • Glaucoma and retinal disorders
  • Digital Image Processing Techniques
  • Ocular Diseases and Behçet’s Syndrome
  • Cell Image Analysis Techniques
  • Medical Image Segmentation Techniques
  • Private Equity and Venture Capital
  • Topological and Geometric Data Analysis
  • Radiology practices and education
  • Medical Imaging Techniques and Applications
  • Ophthalmology and Visual Impairment Studies
  • Cardiac Imaging and Diagnostics
  • Nerve injury and regeneration
  • Gene expression and cancer classification
  • Machine Learning in Bioinformatics
  • Face and Expression Recognition
  • Multimedia Communication and Technology
  • Visual and Cognitive Learning Processes
  • Genomics and Phylogenetic Studies
  • Retinal Diseases and Treatments
  • Corneal Surgery and Treatments
  • Subtitles and Audiovisual Media

He University
2020-2024

Dalian Medical University
2023

Chongqing Medical University
2023

Second Affiliated Hospital of Chongqing Medical University
2023

Inner Mongolia University
2022

Renmin University of China
2005-2020

Peking Union Medical College Hospital
2014-2018

Chinese Academy of Medical Sciences & Peking Union Medical College
2014-2018

East China Normal University
2016

First Affiliated Hospital of Fujian Medical University
2013

Cataract constitutes half of the blindness cases worldwide; hence, detecting and treating cataracts in a timely manner are effective strategies for prevention. Recently, methods through deep learning flourishing; however, task improving grading mechanism is still priority research field. This study evaluates classification capability automated nuclear cataract detection algorithm using ocular images captured by smartphone-based slit-lamp. The to automatically detect severity terms...

10.1109/access.2020.3025346 article EN cc-by IEEE Access 2020-01-01

As part of plans to provide help people in remote and poor areas who have no medical resources, a portable slit-lamp based on smartphone was proposed. This would early screening cataract diseases.This means microlens is designed that work with phone's camera. The photo taking function used capturing the image eyes lens replace observation system desktop slit-lamp. A simplified slit light band designed. In order for source meet requirements slit-lamp, adjustable diffused functions ligaments...

10.1155/2020/1037689 article EN cc-by Journal of Ophthalmology 2020-08-03

Video-based learning has gained popularity in higher education recent years. Danmaku video is a kind of where the screen overlaid with user comments. In this study, comments consist ideas and explanations about important concepts video, thus providing domain-specific knowledge reducing cognitive load for comprehension. This study tries to understand effect danmaku compared normal video. Two groups sophomore students (N= 20) were exposed digital videos or without danmaku. Both took part...

10.1109/icalt.2016.155 article EN 2016-07-01

Abstract Purpose A real-time automatic cataract-grading algorithm based on cataract video is proposed. Materials and methods In this retrospective study, we set the of eye lens section as research target. method proposed to use YOLOv3 assist in positioning, automatically identify position classify after color space conversion. The data a file 38 people's 76 eyes collected by slit lamp. Data were using five random manner, aims reduce influence collection accuracy. length within 10 s,...

10.1186/s12938-021-00906-3 article EN cc-by BioMedical Engineering OnLine 2021-08-05

PURPOSE: To investigate neurotrophins expression and neurotrophic effect change in mesenchymal stem cells (MSCs) under different types of stimulation. METHODS: Rats were exposed 10,000 lux white light to develop light-induced retinal injury. Supernatants homogenized retina (SHR), either from normal or light-injured retina, used stimulate MSCs. Quantitative real time for polymerase chain reaction (RT-PCR) enzyme-linked immunosorbent assay (ELISA) conducted analysis the basic fibroblast growth...

10.1590/s0004-27492013000200010 article EN Arquivos Brasileiros de Oftalmologia 2013-04-01

The purpose of this research was to develop protocols for evaluating the bifurcation parameters retinal arteriole and establish a reference range normal values. In retrospective study, we measured total 1314 arteriolar bifurcations from 100 fundus photographs. We selected 200 these testing inter-measurer inter-method agreement. Additionally, calculated analyzed effects gender, age, anatomical features on bifurcation. measurement method proposed in study has demonstrated nearly perfect...

10.1007/s40123-023-00881-z article EN cc-by-nc Ophthalmology and Therapy 2024-01-31

Ultrasound measurement of the inferior vena cava (IVC) is widely implemented in clinic. However, process time consuming and labor intensive, because IVC diameter continuously changing with respiration. In addition, artificial errors intra-operator variations are always considerable, making inconsistent. Research efforts were recently devoted to developing semiautomated methods. But most required an initial identification manually. As a first step toward fully automated measurement, this...

10.1177/0161734618777262 article EN Ultrasonic Imaging 2018-06-04

The online feature selection with streaming features has become more and important in recent years. In contrast to standard method, method can select dynamically without exploring full space. some applications, when the information of all is unknown advance, methods cannot perform well this setting. Moreover, ultrahigh dimensional data analysis, especially considering interaction effects between features, enjoy computational feasibility. paper, we proposed a Bayesian penalized for problem....

10.1109/access.2019.2930346 article EN cc-by IEEE Access 2019-01-01

Critical care ultrasound (CCUS) has been widely used as a useful tool to assist clinical judgement. The utilization should be integrated into scenario and interact with other tests. No publication reported this. We present CCUS based “7-step approach” workflow—the PIEPEAR Workflow—which we had summarized our experience in practice into, then two cases which have applied the workflow examples. Step one is “problems emerged?” classifying signs of deterioration aspects: acute circulatory...

10.1155/2018/4687346 article EN BioMed Research International 2018-06-11

Abstract Purpose: A real-time automatic cataract grading algorithm based on video is proposed. Materials and Methods: In this retrospective study, we set the of eye lens section as research target. method proposed to use YOLO-V3 assist in positioning, automatically identify position classify after color space conversion. The data a file 38 people's 76 eyes collected by slit lamp. Data using five random manner, aims reduce influence collection accuracy. length within 10s, classified picture...

10.21203/rs.3.rs-453053/v1 preprint EN cc-by Research Square (Research Square) 2021-05-05

The study of the microstructure in cancellous bone is important osteoporosis research. In this paper, we focus extraction rod-like trabeculae bone, whose topological and geometrical properties are known to be strongly related strength. Three dimensional (3D) volume data obtained from micro computed tomography (micro-CT) scans used our analysis. Because complexity microstructure, mere use existing 3D digital topology methods unable yield satisfactory results for extraction. We devise several...

10.1109/cad-cg.2005.74 article EN 2006-03-22

Mitochondria are subcellular organelles existing in most eukaryotic organisms. They have a pivotal role lots of bio-chemical processes for cells. Proteins different compartments mitochondria their transport routes. Locating proteins can provide solid foundation mitochondrial pathologies. So far, there been several computational methods solving the issue. However, accuracy is so low that they do not identify localization precisely. We develop an unsupervised learning model to represent as...

10.1109/bibm55620.2022.9995316 article EN 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022-12-06
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