Ruilin Wang

ORCID: 0000-0003-4459-4659
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About
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Research Areas
  • Infrastructure Maintenance and Monitoring
  • 3D Surveying and Cultural Heritage
  • Industrial Vision Systems and Defect Detection
  • Cancer Mechanisms and Therapy
  • Traditional Chinese Medicine Studies
  • Lung Cancer Treatments and Mutations
  • Concrete Corrosion and Durability
  • Facial Nerve Paralysis Treatment and Research
  • Phytase and its Applications
  • Image Processing and 3D Reconstruction
  • Drug Transport and Resistance Mechanisms
  • Respiratory and Cough-Related Research
  • Liver Disease Diagnosis and Treatment
  • Drug-Induced Hepatotoxicity and Protection
  • Remote-Sensing Image Classification
  • Cancer Diagnosis and Treatment
  • Medical Imaging and Pathology Studies
  • Lymphoma Diagnosis and Treatment
  • Salivary Gland Tumors Diagnosis and Treatment
  • Structural Health Monitoring Techniques
  • Breast Lesions and Carcinomas
  • Conservation Techniques and Studies
  • Cancer Treatment and Pharmacology
  • Corrosion Behavior and Inhibition
  • Breast Cancer Treatment Studies

Tongji University
2020-2025

Shanghai Pulmonary Hospital
2021-2025

Chinese PLA General Hospital
2024

Chinese People's Liberation Army
2020

<sec> <title>UNSTRUCTURED</title> Background: Tongue characteristics, widely utilized in traditional Chinese medicine for health assessment, have been shown to correlate with specific respiratory infections. With the ongoing global spread of Human adenoviruses (HAdVs), COVID-19, and other seasonal viruses, this study aims enhance convenience cost-effectiveness infection diagnoses by developing prediction models based on tongue characteristics. Method: This deep learning extract features from...

10.2196/preprints.74102 preprint EN cc-by 2025-03-18

Objective: To investigate the effects of sampling methods on pathological assessment resected non-small cell lung cancer (NSCLC) specimen with tumor maximum diameter >3 cm after neoadjuvant therapy. Methods: NSCLC patients a large (diameter cm) that were therapy from June 2020 to July 2023 retrospectively collected in Department Pathology, Shanghai Pulmonary Hospital, Shanghai, China. Sampling bed performed accordance international and Chinese experts recommendations for resection specimens...

10.3760/cma.j.cn112151-20240816-00526 article EN PubMed 2025-05-08

Deep learning has made remarkable progress in the field of crack segmentation, particularly handling large-scale datasets and complex images, owing to substantial computational power currently available. However, existing methods still face significant challenges when processing images with low contrast, fine cracks, or strong noise interference. This paper introduces a novel semantic diffusion model capable generating synthetic from segmentation masks. The proposed outperforms...

10.3390/buildings15111872 article EN cc-by Buildings 2025-05-29

Computer vision-based methods have been successfully applied to the crack detection of concrete structures. However, presence mortar joints between masonry blocks introduces considerable noise in images compared images, resulting less efficiency and accuracy. This study aims incorporate deep learning network into computer vision achieve rapid accurate Firstly, low-cycle reversed loading experiments were conducted on walls collect which further labelled create a comprehensive dataset cracks...

10.2139/ssrn.4812249 preprint EN 2024-01-01

To establish patient-derived organoid models of pleomorphic adenomas (PA) the parotid gland and preliminarily characterize their histology, related biomarkers functions.

10.3760/cma.j.cn112144-20231222-00303 article EN PubMed 2024-06-09

This study aims to improve the accuracy of Traditional Chinese Medicine (TCM) diagnosis for adenovirus and COVID-19 patients using multidimensional image analysis technology analyze tongue characteristics. These features were extracted by a deep neural network based on SSD framework. In images, key include color, tooth marks, moisture levels, texture properties, such as roughness, direction, contrast. Fuzzy K-Means cluster was used categorize differentiate between viral infections....

10.1109/smartcloud62736.2024.00022 article EN 2024-05-10

系统评价六味五灵片联合核苷(酸)类药物治疗慢性乙型肝炎肝纤维化有效性及安全性。计算机检索Pubmed、Embase、Cochrane Library(2015年第9期)、中国生物医学数据库(CBM)、中国期刊全文数据库(CNKI)、中文科技期刊全文数据库(VIP)、万方数据在线知识服务平台,全面收集有关六味五灵片联合核苷(酸)类药物治疗慢性乙型肝炎肝纤维化的随机对照试验(RCT),检索时限均从建库至2015年10月29日。由2位评价员按照纳入与排除标准独立筛选文献、提取资料和评价纳入研究的方法学质量后,采用RevMan5.3软件进行Meta分析。最终纳入7个RCTs,共1 021例慢性乙型肝炎肝纤维化患者,其中治疗组529例,对照组492例。分析结果显示:与单用核苷(酸)类药物相比,六味五灵片联合核苷(酸)类药物不仅可降低慢性乙型肝炎肝纤维化患者血清肝纤维化指标:HA[SMD=-1.26,95% CI(-1.92,-0.59),P=0.000 2]、LN[SMD=-1.55,95% CI(-2.27,-0.83),P < 0.000 1]、PC-ⅡI[SMD=-1.39,95%...

10.7501/j.issn.0253-2670.2016.17.029 article ZH-CN 中草药 2016-09-05

Historic buildings combining functional, historic, scientific, art and social values, deserve scientific conservation.Thus, it is of significance to establish the information archiving.This paper mainly focuses on 3D reverse modeling building historic buildings, laying a foundation for digital archiving life-cycle maintenance management.According conservation requirements data characteristics different parts three-dimensional laser scanning, UAV aerial photography close-range are selected...

10.46421/2706-6568.37.2020.paper019 article EN CIB W78 conference series 2020-08-04
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