Wenjie Huang

ORCID: 0000-0003-3238-0573
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About
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Research Areas
  • Head and Neck Cancer Studies
  • Salivary Gland Tumors Diagnosis and Treatment
  • Head and Neck Surgical Oncology
  • Mineral Processing and Grinding
  • Radiomics and Machine Learning in Medical Imaging
  • Fault Detection and Control Systems
  • Lung Cancer Research Studies
  • Robotics and Automated Systems
  • Spectroscopy and Chemometric Analyses
  • Cancer-related molecular mechanisms research
  • EEG and Brain-Computer Interfaces
  • Lung Cancer Treatments and Mutations
  • Domain Adaptation and Few-Shot Learning
  • Medical Imaging and Analysis
  • Advanced Graph Neural Networks
  • Color perception and design
  • MicroRNA in disease regulation
  • Medical Image Segmentation Techniques
  • Viral-associated cancers and disorders
  • Brain Metastases and Treatment
  • Cognitive Computing and Networks
  • Video Surveillance and Tracking Methods
  • Traffic Prediction and Management Techniques
  • Risk and Safety Analysis
  • Machine Fault Diagnosis Techniques

Huazhong University of Science and Technology
2022-2025

Tongji Hospital
2022-2025

Liuzhou Maternal and Child Health Hospital
2025

Nanjing University of Chinese Medicine
2025

Sun Yat-sen University Cancer Center
2021-2024

Sun Yat-sen University
2021-2024

Zhejiang University
2024

Xi'an University of Architecture and Technology
2024

South China Agricultural University
2024

Beijing Academy of Artificial Intelligence
2023

Abstract Objectives Prognoses for nasopharyngeal carcinoma (NPC) between categories T2 and T3 in the Eighth American Joint Committee on Cancer (AJCC) staging system were overlapped. We explored value of skull base invasion (SBI) subclassification prognostic stratification use induction chemotherapy (IC) to optimize T2/T3 categorization NPC patients. Methods retrospectively reviewed 1752 patients from two hospitals. Eight bone structures evaluated. Survival differences compared slight SBI (T3...

10.1007/s00330-022-08864-7 article EN cc-by European Radiology 2022-05-31

Breast cancer is a leading malignancy in women, with mortality disparities between developed and underdeveloped regions. Accumulating evidence suggests that the competitive endogenous RNA (ceRNA) regulatory networks play paramount roles various human cancers. However, complexity behavior characteristics of ceRNA network breast progression have not been fully elucidated. The expression profiles three RNAs (long non-coding [lncRNAs], microRNAs [miRNAs], mRNAs) were extracted from adjacent...

10.1007/s12672-025-02080-7 article EN cc-by-nc-nd Discover Oncology 2025-03-16

Importance Hepatitis B surface antigen (HBsAg) reportedly increases the risk of distant metastasis among patients with nasopharyngeal carcinoma (NPC). However, associated potential interaction and changes in hazard ratios (HRs) between HBsAg different plasma Epstein-Barr (EBV) DNA levels are unknown. Moreover, HBsAg-positive–associated NPC metastatic mechanism remains unclear. Objective To investigate prognostic value biological associations EBV on NPC. Design, Setting, Participants...

10.1001/jamanetworkopen.2022.53832 article EN cc-by-nc-nd JAMA Network Open 2023-02-09

Accurate prediction of the prognosis nasopharyngeal carcinoma (NPC) is important for treatment. Lymph nodes metastasis an predictor distant failure and regional recurrence in patients with NPC. Traditionally, subjective radiological evaluation increases concerns regarding accuracy consistency predictions. Radiomics objective quantitative algorithm medical images. This retrospective analysis was conducted based on data 729 newly diagnosed NPC without metastases to evaluate performance...

10.1016/j.heliyon.2024.e31557 article EN cc-by-nc Heliyon 2024-05-01

To optimize rice yield and enhance quality through targeted field management at each growth stage, rapid accurate identification of stages is crucial. This study presents the Mobilenetv3-YOLOv8 growth-stage recognition model, designed for high efficiency accuracy using Unmanned Aerial Vehicle (UAV) imagery. A UAV captured images fields across five distinct from two altitudes (3 m 20 m) independent experiments. These were processed to create training, validation, test datasets model...

10.3390/agronomy14122751 article EN cc-by Agronomy 2024-11-21

Purpose: Traditional prognostic studies utilized different cut-off values, without evaluating potential information contained in inflammation-related hematological indicators. Using the interpretable machine-learning algorithm RuleFit, this study aimed to explore valuable inflammatory rules reflecting prognosis nasopharyngeal carcinoma (NPC) patients. Patients and Methods: In total, 1706 biopsy-proven NPC patients treated two independent hospitals (1320 386) between January 2010 March 2014...

10.2147/jir.s366922 article EN cc-by-nc Journal of Inflammation Research 2022-08-01

Abstract Background Image registration technology has become an important medical image preprocessing step with the wide application of computer‐aided diagnosis in various analysis tasks. Purpose We propose a multiscale feature fusion based on deep learning to achieve accurate and head magnetic resonance imaging (MRI) solve problem that general methods cannot handle complex spatial information position MRI. Methods Our proposed network consists three sequentially trained modules. The first...

10.1002/mp.16387 article EN Medical Physics 2023-03-27

Background: Lymph node necrosis (LNN), including retropharyngeal nodal and cervical necrosis, which is related to radiotherapy/ chemotherapy resistance, a common phenomenon in nasopharyngeal carcinoma (NPC). This study was assess the prognostic value of LNN at different N stages NPC patients. Materials Methods: In total, 1,665 newly diagnosed patients stage TxN1-3M0 from two centers were enrolled. Univariate multivariate models constructed association between long-term survival outcomes. The...

10.7150/jca.84854 article EN cc-by-nc Journal of Cancer 2023-01-01

Alarm trippoints are crucial parameters of alarm systems in industrial processes. Poorly designed will probably bring about overloading which is detrimental to the performance systems. In particular, design recent mostly static and isolated from other related variables, resulting occurrence nuisance alarms, including false alarms missed alarms. A remedy multivariate by taking intricate correlation into account. This work proposes a novel framework based on causal model. First, basis our...

10.1021/acs.iecr.1c00867 article EN Industrial & Engineering Chemistry Research 2021-06-18

Abstract Background Soft tissue involvement (STI) indicates poor prognosis in nasopharyngeal carcinoma (NPC). However, only a few studies have systematically assessed this extension using network analysis. Purpose To investigate the prognostic value of STI and to propose an improved grading system for NPC therapy. Study Type Retrospective study. Population A total 1225 consecutive patients with pathologically confirmed treated intensive‐modulated radiotherapy from January 2010 March 2014...

10.1002/jmri.27515 article EN Journal of Magnetic Resonance Imaging 2021-02-17

The carotid space is an integral part of the parapharyngeal space, with ambiguous prognostic value for patients nasopharyngeal carcinoma (NPC). This study aimed to investigate significance involvement (CSI) and propose a treatment strategy.This retrospective enrolled 792 biopsy-confirmed, non-distant metastatic NPC staged by magnetic resonance imaging before treatment. We used multivariable Cox regression models Kaplan-Meier methods assess association between variables survival outcomes. A...

10.1016/j.oraloncology.2022.106230 article EN cc-by-nc-nd Oral Oncology 2022-11-03
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