Heying Wang

ORCID: 0000-0003-3479-7487
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Research Areas
  • Acute Ischemic Stroke Management
  • Industrial Vision Systems and Defect Detection
  • Cerebrovascular and Carotid Artery Diseases
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Advanced Neural Network Applications
  • Image and Object Detection Techniques
  • Esophageal and GI Pathology
  • Image Processing Techniques and Applications
  • Tracheal and airway disorders
  • Tryptophan and brain disorders
  • Medical Image Segmentation Techniques
  • Acute Kidney Injury Research
  • Venous Thromboembolism Diagnosis and Management
  • Folate and B Vitamins Research
  • Ferroptosis and cancer prognosis
  • Surface Roughness and Optical Measurements
  • Dysphagia Assessment and Management
  • MicroRNA in disease regulation
  • Metabolomics and Mass Spectrometry Studies
  • Spinal Cord Injury Research
  • Inflammatory Biomarkers in Disease Prognosis
  • Electromagnetic Compatibility and Measurements
  • Thermography and Photoacoustic Techniques
  • Redox biology and oxidative stress
  • Barrier Structure and Function Studies

Second Affiliated Hospital of Xi'an Jiaotong University
2017-2024

Xi'an Polytechnic University
2023-2024

Harbin Institute of Technology
2020-2024

China Medical University
2022-2023

Orient Capital (China)
2023

Sensors (United States)
2021

Kunming Medical University
2019

Second Affiliated Hospital of Kunming Medical College
2019

Sinovac Biotech
2018

Hebei University of Technology
2017-2018

Automatic defect detection on the steel surface is a challenging task in computer vision, owing to miscellaneous patterns of defects, low contrast between and background, existence pseudo so on. In this paper, new Haar-Weibull-variance (HWV) model proposed for an unsupervised manner. First, anisotropic diffusion utilized eliminate influence pseudodefects. Second, HWV established characterize texture distribution each local patch image. The can project into low-dimensional space with only two...

10.1109/tim.2017.2712838 article EN IEEE Transactions on Instrumentation and Measurement 2017-07-18

Automatic defect detection on strip steel surfaces is a challenging task in computer vision, owing to miscellaneous patterns of defects, disturbance pseudodefects, and random arrangement gray-level background. In this paper, novel template establishment presented. Further, simple guidance template-based algorithm for surface proposed. First, large number defect-free images are collected obtain the statistical characteristic normal textures. Second, each given test image, initial built...

10.1109/tii.2018.2887145 article EN IEEE Transactions on Industrial Informatics 2018-12-18

Defect detection holds significant importance in improving the overall quality of fabric manufacturing. To improve effectiveness and accuracy defect detection, we propose PRC-Light YOLO model for establish a system. Firstly, have improved YOLOv7 by integrating new convolution operators into Extended-Efficient Layer Aggregation Network optimized feature extraction, reducing computations while capturing spatial features effectively. Secondly, to enhance performance fusion network, use...

10.3390/app14020938 article EN cc-by Applied Sciences 2024-01-22

Abstract Ischemic stroke is a neurological disorder caused by vascular stenosis or occlusion, accounting for approximately 87% of strokes. Clinically, the most effective therapy ischemic recanalization, which aims to rescue neurons undergoing insults. Although reperfusion treatment stroke, it still has limited benefits many patients, and ischemia-reperfusion (I/R) injury widely recognized cause poor prognosis. Here, we aim investigate mechanism protein phosphatase Mg 2+ /Mn dependent 1 K...

10.1038/s41419-023-06135-x article EN cc-by Cell Death and Disease 2023-09-26

During the drilling process, rock mechanics parameters (RMP) are an important basis for optimizing fluid density, drill bit selection, and wellbore stability. However, during actual drilling, traditional methods cannot obtain RMP of arbitrary sections. To solve problem RMP, a novel data-driven method predicting is proposed. Initially, Pearson correlation coefficient used to analyze between data well label obtained by logging. And major influence factors (e.g., pressure, speed) chosen...

10.1080/10916466.2023.2298998 article EN Petroleum Science and Technology 2024-01-05

Despite the extensive utilization of deep learning in medical image segmentation, achieved accuracy remains inadequate for clinical requirements due to scarcity annotated data, which constrains acquisition anatomical knowledge. Leveraging information is particularly advantageous especially multi-modal and cross-domain tasks. To better capture represent structures, we propose a Swin Transformer-based structure-aware network, AnatSwin, adopts unique approach by utilizing label images as...

10.1016/j.neucom.2024.127379 article EN cc-by-nc-nd Neurocomputing 2024-02-06

The time window from stroke onset is critical for the treatment decision. However, in unknown stroke, it often difficult to determine exact because of lack assessment methods, which can result controversial and random decisions. Previous studies have shown that serum biomarkers, addition imaging assessment, are useful determining time. as yet there no specific biomarkers or corresponding methodologies accurate effective stroke. Herein, we describe our novel advanced metabolites-based machine...

10.1016/j.biopha.2022.113641 article EN cc-by-nc-nd Biomedicine & Pharmacotherapy 2022-09-08

Although epidemiological evidence implies a link between exposure to particulate matter (PM) and Alzheimer's disease (AD), establishing causality remains complex endeavor. In the present study, we used Mendelian randomization (MR) as robust analytical approach explore potential causal relationship PM AD risk. We also explored associations other neurodegenerative diseases.

10.3389/fpubh.2024.1343915 article EN cc-by Frontiers in Public Health 2024-05-30

Background Contrast-induced encephalopathy (CIE) is a rare disease, whose etiology and risk factors remain unclear need investigation. Methods We collected 7 CIE cases from 2646 patients injected with ioversol 5 526 iopromide, all of whom underwent neurointervention surgery in our regional centers. The incidence CIE, its characteristics, risks were analyzed both groups. Results overall was 0.38%, specifically 0.95% 0.26% the iopromide groups, respectively; former significantly higher than...

10.1097/wnf.0000000000000374 article EN Clinical Neuropharmacology 2019-12-31

Iodide mumps is an uncommon condition, induced by iodide-containing contrast, and characterized a rapid, painless enlargement of the bilateral or unilateral salivary gland. At present, pathogenesis iodide not yet clear. It may be related to idiosyncratic reaction, toxic accumulation iodine in gland duct, renal function damage leading excretion disorder. This paper reports clinical manifestations magnetic resonance imaging results one case mumps, which occurred after digital subtraction...

10.1097/md.0000000000008881 article EN cc-by-nc Medicine 2017-11-01

Limited comparative studies have reported the safety and efficacy of tirofiban in acute ischemic stroke (AIS) patients after mechanical thrombectomy (MT). Additionally, available are inconsistent with each other, which makes application unclear neuro-intervention. Here, we performed a retrospective study to investigate whether combined MT improves short- long-term prognosis AIS its use is associated complications. Retrospective data were collected for admitted between January 2013 2019 at...

10.1155/2020/5656173 article EN cc-by Biochemistry Research International 2020-05-01

Abstract Background Following acute ischemic stroke (AIS), approximately half of patients do not achieve recanalization after intravenous administration tissue plasminogen activator (rt-PA). Thrombolysis resistance is a possible reason for failure. likely related to the ultrastructure and composition thrombus. However, there paucity published information on relationship between thrombus thrombolysis resistance. Case presentation Two who underwent mechanical thrombectomy were observed within...

10.1186/s12883-020-01706-3 article EN cc-by BMC Neurology 2020-04-14

Contrast-enhanced high-resolution magnetic resonance imaging (CE-HR-MRI) is a useful modality to assess vulnerable plaques in intracranial atherosclerotic stenosis (ICAS) patients. We studied the relationship between fibrinogen-to-albumin ratio (FAR) and plaque enhancement patients with ICAS.We retrospectively enrolled consecutive ICAS who had undergone CE-HR-MRI. The degree of on CE-HR-MRI was evaluated both qualitatively quantitatively. Enrolled were classified into no enhancement, mild...

10.3389/fneur.2023.1153171 article EN cc-by Frontiers in Neurology 2023-05-24
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