Jiawei Liang

ORCID: 0000-0003-0748-3183
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About
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Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Neuroblastoma Research and Treatments
  • Advanced Neural Network Applications
  • Quantum Computing Algorithms and Architecture
  • Coronary Artery Anomalies
  • Congenital Heart Disease Studies
  • Neurosurgical Procedures and Complications
  • Glioma Diagnosis and Treatment
  • Vascular anomalies and interventions
  • Gastric Cancer Management and Outcomes
  • Underwater Vehicles and Communication Systems
  • Spine and Intervertebral Disc Pathology
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Image and Video Quality Assessment
  • Adversarial Robustness in Machine Learning
  • Virus-based gene therapy research
  • Meningioma and schwannoma management
  • Advanced Vision and Imaging
  • Atomic and Subatomic Physics Research
  • Congenital heart defects research
  • Helicobacter pylori-related gastroenterology studies
  • Energy Efficient Wireless Sensor Networks
  • Animal Virus Infections Studies
  • Image Enhancement Techniques
  • Quantum Information and Cryptography

Children's Hospital of Zhejiang University
2019-2025

Tianjin University
2023-2025

Second Affiliated Hospital of Nanchang University
2023-2024

Nanchang University
2021-2024

Guangxi Medical University
2024

Wenzhou Medical University
2023-2024

Southeast University
2022-2024

Chinese Academy of Sciences
2022-2024

Shanghai Institute of Technology
2024

Shenyang University of Technology
2024

Object detection based on the deep learning has achieved very good performances. However, there are many problems with images in real-world shooting such as noise, blurring and rotating jitter, etc. These have an important impact object detection. Using traffic signs example, we established image degradation models which YOLO network combined traditional processing methods to simulate existing shooting. After establishing different models, compared effects of We used train a robust model...

10.1109/itoec.2018.8740604 article EN 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC) 2018-12-01

Introduction: The triglyceride glucose index (TyG) is associated with cardiovascular diseases; however, its association stroke remains unclear. This study aimed to elucidate this relationship by examining two extensive cohort studies using two-sample Mendelian randomization (MR). Methods: Using data from the 1999–2018 National Health and Nutrition Examination Survey (NHANES) Medical Information Mart for Intensive Care (MIMIC)-IV, correlation between TyG (continuous quartile) was examined...

10.1097/js9.0000000000001795 article EN cc-by-nc-nd International Journal of Surgery 2024-06-19

Abstract Background Triglyceride glucose (TyG) is associated with stroke, atherosclerosis, and adverse clinical outcomes. However, its correlation cerebrovascular disease (CVD) mortality remains unclear. This study aimed to investigate the relationship between TyG index in patients CVD. Methods Patient data sourced from Medical Information Mart for Intensive Care -IV database were categorized based on quartiles. Kaplan–Meier survival analysis was used estimate disparities among subgroups....

10.1186/s13098-023-01243-2 article EN cc-by Diabetology & Metabolic Syndrome 2024-01-03

This study aimed to investigate the feasibility of predicting oxygen 6-methylguanine-DNA methyltransferase (MGMT) promoter methylation in diffuse gliomas by developing a deep learning approach using MRI radiomics. A total 111 patients with participated retrospective (56 MGMT and 55 unmethylation). The radiomics features two regions interest (ROI) (the whole tumor area core area) for four sequences, including T1 weighted image (T1WI), T2 (T2WI), apparent diffusion coefficient (ADC) maps,...

10.3390/jcm11123445 article EN Journal of Clinical Medicine 2022-06-15

Abstract BRD4 is a member of the BET protein family involved in chromatin remodeling and transcriptional regulation. Several inhibitors (BETi) have entered clinical trials, demonstrating potential inducing cancer cell apoptosis tumor regression. However, resistance to BETi common solid tumors. In pancreatic cancer, it found that cancer‐associated fibroblasts (CAFs) microenvironment reduce inhibitor JQ1 sensitivity by expression. Moreover, CAFs play crucial role formation dense stromal...

10.1002/advs.202305279 article EN cc-by Advanced Science 2023-11-15

BackgroundConsiderable research has shown brain injury during surgery for patients with cyanotic congenital heart disease (CHD), but the preoperative neurodevelopment and in children non-cyanotic CHD are not well understood. The aim of this study is to investigate changes global local grey matter (GM) volumes pediatric before catheter-based procedure using voxel-based morphometry (VBM).MethodsOne- three-year-old toddlers acyanotic (n = 54) hospitalized treatment were prospectively enrolled....

10.1016/j.pedneo.2024.03.014 article EN cc-by-nc-nd Pediatrics & Neonatology 2025-03-01

This paper critiques research methods used in current studies of syntax World Englishes. In order to do so, we draw from the literature on China English exemplify these issues. By critically reviewing that documents syntactic features English, show described as those fail index variety itself. is, argue, partly a consequence limitations were adopted studies. The identifies six main issues with methodology Englishes: (1) uniqueness; (2) register variation; (3) using norms writing for...

10.1080/13488678.2014.915625 article EN Asian Englishes 2014-05-04

Deep learning techniques have attracted much attention in the radar automatic target recognition. In this paper, we investigate an acceleration method of convolutional neural network (CNN) on field-programmable gate array (FPGA) for embedded application millimeter-wave (mmW) radar-based human activity classification. Considering micro-Doppler effect caused by a person's body movements, spectrogram mmW echoes is adopted as CNN input. After that, according to architecture and properties FPGA...

10.1109/access.2019.2926381 article EN cc-by IEEE Access 2019-01-01

The intermediate dc bus voltage in modern data center backend power supply is evolving from conventional 12 V to 48 V. It still requires the regulator modules (VRM) feed terminal loads such as memory and computing units operating with very high current (> 100 A/module) low logic (0.8 V-1.8 V). This makes it challenging optimize design of load-side VRMs quadrupled input voltage. paper comprehensively reviews state-of-the-art categorizes them according passive component utilization. first...

10.24295/cpsstpea.2022.00026 article EN CPSS Transactions on Power Electronics and Applications 2022-09-29

To develop and validate a machine learning-based CT radiomics method for preoperatively predicting the stages (stage I non-stage I) of Wilms tumor (WT) in pediatric patients. A total 118 patients with WT, who underwent contrast-enhanced computed tomography (CT) scans our center between 2014 2021, were studied retrospectively divided into two groups: stage disease. Patients randomly training cohorts (n = 94) test 24). 1,781 radiomic features from seven feature classes extracted preoperative...

10.3389/fped.2022.873035 article EN cc-by Frontiers in Pediatrics 2022-05-23

Given the metastasis-promoting effect of pancreatic ductal adenocarcinoma (PDAC)-derived exosomes through activation fibrotic premetastatic niches, targeting and intervening in organs to inhibit distant metastasis have challenged researchers clinicians. Herein, a self-biomimetic drug delivery system based on derived from PDAC (PF@PCCEs) was constructed precisely deliver an antifibrotic (pirfenidone, PF) organs. First, PDAC-derived were confirmed remarkably promote liver fibrosis. Then...

10.1039/d2bm00770c article EN Biomaterials Science 2022-01-01

Solute carrier family 1 member 5 (SLC1A5) is a of the solute (SLC) superfamily transporters and plays an important role in tumors as key transporter glutamine into cells. However, relationship between SLC1A5, which involved immune regulation, cell infiltration tumor microenvironment has not been elucidated, SLC1A5 ferroptosis rarely reported. Therefore, we comprehensively analyzed expression level across cancers compared it with that normal tissues. Then, was by single-cell analysis, gene...

10.18632/aging.204911 article EN cc-by Aging 2023-08-10

Theoretical modeling calculations and experimental measurements were adopted to investigate the oxygen activation effect of carbon nanofibers (CNFs) interacting with polypyrrole (PPY). The CNF undergoes a hydrothermal oxidation process form epoxy hydroxyl groups containing (CNF-O). on electronic electrochemical properties was investigated through interfacial interaction between CNF-O PPY. calculation discloses that CNF-O/PPY exhibits lower bandgaps (0.64 eV), higher density states (10.039...

10.3390/fib12010004 article EN cc-by Fibers 2023-12-27

The co-aromatization of methane and organic compounds using metal-modified zeolite catalysts represents a promising approach for the direct conversion natural gas into valuable aromatics. In this work, we employ solid-state nuclear magnetic resonance (NMR) spectroscopy to systematically examine reaction mechanism evaluate impact co-feeding furan on aromatization over Mo/ZSM-5 zeolite. results reveal dual role in promoting aromatics stabilizing catalyst co-aromatization. It is found that...

10.1021/acscatal.4c01827 article EN ACS Catalysis 2024-05-11

There has been no research investigating susceptibility-weighted imaging (SWI) radiomics features in evaluating molecular makers gliomas. The aim of this study was to assess the predictive value extracted from structural magnetic resonance (MRI), apparent diffusion coefficient (ADC), and SWI determining World Health Organization (WHO) Grade, isocitrate dehydrogenase (

10.21037/qims-24-1110 article EN Quantitative Imaging in Medicine and Surgery 2024-12-01

Deep neural networks have shown great potential in many practical applications, yet their knowledge is at the risk of being stolen via exposed services (\eg APIs). In contrast to commonly-studied classification model extraction, there exist no studies on more challenging object detection task due sufficiency and efficiency problem domain data collection. this paper, we for first time reveal that black-box victim detectors can be easily replicated without knowing structure training data....

10.1145/3503161.3548416 article EN Proceedings of the 30th ACM International Conference on Multimedia 2022-10-10

A partition multi-effect precision-care gel facial mask conforming to skin characteristics was prepared using three-dimensional (3D) printing technology.

10.1111/ics.12925 article EN International Journal of Cosmetic Science 2023-10-26

Influences of a vermicompost application on the phosphorus transformation and microbial activity in paddy soil | Feng Zhang, Rongping Wang, Weimin Yu, Jiawei Liang, Xinrong Liao Agricultural Journals

10.17221/91/2019-swr article EN cc-by-nc Soil and Water Research 2020-02-05
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