Chengyu Wu

ORCID: 0009-0009-0450-8649
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About
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Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Cancer Research and Treatments
  • Esophageal Cancer Research and Treatment
  • Retinal Imaging and Analysis
  • Dental Radiography and Imaging
  • AI in cancer detection
  • Cancer, Lipids, and Metabolism
  • Lung Cancer Research Studies
  • Cancer Cells and Metastasis
  • Nanoplatforms for cancer theranostics
  • Neuroendocrine Tumor Research Advances
  • Digital Imaging for Blood Diseases
  • Cardiovascular, Neuropeptides, and Oxidative Stress Research
  • Optical and Acousto-Optic Technologies
  • Advanced Image Fusion Techniques
  • Cardiac, Anesthesia and Surgical Outcomes
  • Nutrition, Genetics, and Disease
  • Medical Imaging and Analysis
  • Advanced Computing and Algorithms
  • Apelin-related biomedical research
  • Immunotherapy and Immune Responses
  • Celiac Disease Research and Management
  • Nutritional Studies and Diet
  • Gastric Cancer Management and Outcomes
  • Chronic Obstructive Pulmonary Disease (COPD) Research

Shandong University
2023-2025

Xinjiang Medical University
2025

Nanjing University of Chinese Medicine
2009-2024

GTx (United States)
2024

National Chin-Yi University of Technology
2024

In-Q-Tel
2023

Harbin Medical University
2019

Southern Taiwan University of Science and Technology
2010

National Cheng Kung University
2006

Sepsis is a severe infectious disease with high mortality. However, the indicators used to evaluate its severity and prognosis are relatively complicated. The systemic inflammatory response index (SIRI), new indicator, has shown good predictive value in chronic infection, stroke, cancer. purpose of this study was investigate connection between sepsis SIRI usefulness. A total 401 patients were included study. Multiple linear regression logistic analyses performed relationship sepsis....

10.1038/s41598-024-81860-7 article EN cc-by-nc-nd Scientific Reports 2025-01-14

10.1109/icassp49660.2025.10890297 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

Unlike Western medicine that generally uses purified compounds and aims to target a single molecule or pathway, traditional Chinese (TCM) compositions usually comprise multiple herbs components are necessary for efficacy. Despite the very long-time wide-spread use of TCM, there few direct comparisons TCM standard cytotoxic chemotherapy. In present report, we compared efficacy herbal mixture LQ against lung cancer in mouse models with doxorubicin (DOX) cyclophosphamide (CTX). inhibited tumor...

10.1371/journal.pone.0109814 article EN cc-by PLoS ONE 2014-10-06

Pancreatic cancer is highly treatment-resistant and has one of the highest fatality rates all cancers fourth killer worldwide. Novel, more effective strategies are needed to treat this disease. We report here on use patient-like orthotopic nude-mouse models human metastatic pancreatic compare traditional Chinese medicine (TCM) herbal mixture LQ gemcitabine, which first-line therapy for disease, anti-metastatic anti-tumor activity as well safety. The cell line, MiaPaCa-2, labeled with red...

10.1002/jcb.24561 article EN Journal of Cellular Biochemistry 2013-04-03

Abstract Background This study was to establish and validate prediction models predict the cancer-specific survival (CSS) overall (OS) of small-cell lung cancer (SCLC) patients with liver metastasis. Methods In retrospective cohort study, SCLC metastasis between 2010 2015 were retrospectively retrieved from Surveillance, Epidemiology, End Results (SEER) database. Patients randomly divided into training group testing (3: 1 ratio). The Cox proportional hazards model used determine predictive...

10.1186/s12890-023-02832-7 article EN cc-by BMC Pulmonary Medicine 2024-01-04

The thickness of the choroid is considered to be an important indicator clinical diagnosis. Therefore, accurate segmentation in retinal OCT images crucial for monitoring various ophthalmic diseases. However, this still challenging due blurry boundaries and interference from other lesions. To address these issues, we propose a novel prior-guided knowledge diffusive network (PGKD-Net) fully utilize structural information highlight choroidal region features boost performance. Specifically, it...

10.1016/j.artmed.2024.102837 article EN cc-by-nc Artificial Intelligence in Medicine 2024-03-11

Prognostic risk prediction is pivotal for clinicians to appraise the patient's esophageal squamous cell cancer (ESCC) progression status precisely and tailor individualized therapy treatment plans. Currently, CT-based multi-modal prognostic methods have gradually attracted attention of researchers their universality, which also able be applied in scenarios preoperative assessment early stages cancer. However, much current work focuses only on CT images primary tumor, ignoring important role...

10.1109/jbhi.2024.3410543 article EN IEEE Journal of Biomedical and Health Informatics 2024-01-01

Objective The association between omega-3 fatty acids (O3FA) and celiac disease lacks sufficient investigation. Methods Utilizing data gleaned from the 2009 to 2014 National Health Nutrition Examination Survey (NHANES), this research comprises a sample of 13 403 adults, each aged 20 years above. We conducted multivariable logistic regression analysis assess dietary intake O3FA disease. Subsequently, two-sample Mendelian randomization was performed estimate unconfounded causal relationship...

10.1097/meg.0000000000002814 article EN European Journal of Gastroenterology & Hepatology 2024-07-08

The present study explored the main active ingredients and underlying mechanism of Spatholobi Caulisin treatment ovarian cancer(OC) by network pharmacology, molecular docking, in vitro cell experiments. their predicted targets(AITs) were first acquired online with Traditional Chinese Medicine Systems Pharmacology Database Analysis Platform(TCMSP). Theoretical disease targets(DTs) obtained through professional databases including GeneCards, OMIM, PharmGkb, TTD, DrugBank. common targets...

10.19540/j.cnki.cjcmm.20211103.703 article EN PubMed 2022-02-01

Survival prediction for esophageal squamous cell cancer (ESCC) is crucial doctors to assess a patient's condition and tailor treatment plans. The application development of multi-modal deep learning in this field have attracted attention recent years. However, the prognostically relevant features between cross-modalities not been further explored previous studies, which could hinder performance model. Furthermore, inherent semantic gap different modal feature representations also ignored. In...

10.48550/arxiv.2408.13290 preprint EN arXiv (Cornell University) 2024-08-23

Esophageal cancer is one of the most common types worldwide and ranks sixth in cancer-related mortality. Accurate computer-assisted diagnosis progression can help physicians effectively customize personalized treatment plans. Currently, CT-based methods have received much attention for their comprehensive ability to examine patients' conditions. However, multi-modal based may likely introduce information redundancy, leading underperformance. In addition, efficient effective interactions...

10.48550/arxiv.2405.09539 preprint EN arXiv (Cornell University) 2024-05-15

Precise Tooth Cone Beam Computed Tomography (CBCT) image segmentation is crucial for orthodontic treatment planning.In this paper, we propose FDNet, a Feature Decoupled Segmentation Network, to excel in the face of variable dental conditions encountered CBCT scans, such as complex artifacts and indistinct tooth boundaries.The Low-Frequency Wavelet Transform (LF-Wavelet) employed enrich semantic content by emphasizing global structural integrity teeth, while SAM encoder leveraged refine...

10.1109/isbi56570.2024.10635263 article EN 2024-05-27

10.1109/icecet61485.2024.10698169 article EN 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) 2024-07-25

Layer segmentation of Optical Coherence Tomography (OCT) images is an important step in diagnosing retinal diseases. However, the presence some artifacts and noise OCT often leads to unsatisfactory layer results. Especially when number layers be segmented particularly large, boundaries between are indistinguishable, which poses a great challenge automatic accurate segmentation. To solve these problems, we propose novel multi-task dual boundary-aware network improve performance images....

10.1109/access.2023.3330493 article EN cc-by-nc-nd IEEE Access 2023-01-01

This study aims at inventing a low-price but high-precision 3D touch trigger probe (or CMM probe). The tip ball of the stylus, with diameter smaller than 100 μm, is made by micro electro discharge machine and wire grinding. stylus mounted centre stiff cross-form frame, which in turn suspended on four beams. As proven several experiments, this structure restricts degrees freedom three directions. displacement sensor 2D angle performed using modified commercial DVD pickup heads to measure...

10.1117/12.885593 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2010-08-24

Abstract Cyclophosphamide (CTX) can enhance metastasis (Cancer Res. 66, 303-306, 2006; Cancer 68, 516-520, 2008) and has toxic side effects such as immune-suppression, weight loss, hair loss. In the present study, traditional Chinese medicine (TCM) herbal mixture LQ (J. Cell. Biochem. 114, 2131-2137, 2013) was tested to determine if it could CTX efficacy reduce effects. HT1080 human fibrosarcoma cells, labeled with GFP in nucleus RFP cytoplasm, were injected into epigastric cranialis vein of...

10.1158/1538-7445.am2014-4027 article EN Cancer Research 2014-10-01
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