Search Results - "Chai, Ruimei"

  • Showing 1 - 13 results of 13
Refine Results
  1. 1

    Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Radiomics Features of DCE-MRI by Cui, Xiaoyu, Wang, Nian, Zhao, Yue, Chen, Shuo, Li, Songbai, Xu, Mingjie, Chai, Ruimei

    Published in Scientific reports (19-02-2019)
    “…The accurate and noninvasive preoperative prediction of the state of the axillary lymph nodes is significant for breast cancer staging, therapy and the…”
    Get full text
    Journal Article
  2. 2

    Machine learning prediction of axillary lymph node metastasis in breast cancer: 2D versus 3D radiomic features by Arefan, Dooman, Chai, Ruimei, Sun, Min, Zuley, Margarita L., Wu, Shandong

    Published in Medical physics (Lancaster) (01-12-2020)
    “…Purpose The purpose of this study was to distinguish axillary lymph node (ALN) status using preoperative breast DCE‐MRI radiomics and compare the effects of…”
    Get full text
    Journal Article
  3. 3

    Diffusion-weighted imaging or dynamic contrast-enhanced curve: a retrospective analysis of contrast-enhanced magnetic resonance imaging–based differential diagnoses of benign and malignant breast lesions by Yang, Xiaoping, Dong, Mengshi, Li, Shu, Chai, Ruimei, Zhang, Zheng, Li, Nan, Zhang, Lina

    Published in European radiology (01-09-2020)
    “…Objective To compare the diagnostic performance of models based on a combination of contrast-enhanced (CE) magnetic resonance imaging (MRI) with…”
    Get full text
    Journal Article
  4. 4

    Automated deep learning method for whole‐breast segmentation in diffusion‐weighted breast MRI by Zhang, Lei, Mohamed, Aly A., Chai, Ruimei, Guo, Yuan, Zheng, Bingjie, Wu, Shandong

    Published in Journal of magnetic resonance imaging (01-02-2020)
    “…Background Diffusion‐weighted imaging (DWI) in MRI plays an increasingly important role in diagnostic applications and developing imaging biomarkers. Automated…”
    Get full text
    Journal Article
  5. 5

    Utility of radiomics based on contrast-enhanced CT and clinical data in the differentiation of benign and malignant gallbladder polypoid lesions by Yang, Xiaodong, Liu, Yi, Guo, Yan, Chai, Ruimei, Niu, Meng, Xu, Ke

    Published in Abdominal radiology (New York) (01-08-2020)
    “…Purpose To develop and validate a novel method based on radiomics for the preoperative differentiation of benign and malignant gallbladder polypoid lesions…”
    Get full text
    Journal Article
  6. 6

    MRI-based tumor shrinkage patterns after early neoadjuvant therapy in breast cancer: correlation with molecular subtypes and pathological response after therapy by Wang, Mengfan, Du, Siyao, Gao, Si, Zhao, Ruimeng, Liu, Shasha, Jiang, Wenhong, Peng, Can, Chai, Ruimei, Zhang, Lina

    Published in Breast cancer research : BCR (12-02-2024)
    “…MRI-based tumor shrinkage patterns (TSP) after neoadjuvant therapy (NAT) have been associated with pathological response. However, the understanding of TSP…”
    Get full text
    Journal Article
  7. 7

    Deep Learning Based Analysis of Breast Cancer Using Advanced Ensemble Classifier and Linear Discriminant Analysis by Zhang, Xinfeng, He, Dianning, Zheng, Yue, Huo, Huaibi, Li, Simiao, Chai, Ruimei, Liu, Ting

    Published in IEEE access (2020)
    “…In the recent past, the Classifiers are based on genetic signatures in which many microarray studies are analyzed to predict medical results for cancer…”
    Get full text
    Journal Article
  8. 8

    A radiomic nomogram based on an apparent diffusion coefficient map for differential diagnosis of suspicious breast findings by Hu, Bin, Xu, Ke, Zhang, Zheng, Chai, Ruimei, Li, Shu, Zhang, Lina

    Published in Chinese journal of cancer research (01-08-2018)
    “…To develop and validate a radiomic nomogram based on an apparent diffusion coefficient (ADC) map for differentiating benign and malignant lesions in suspicious…”
    Get full text
    Journal Article
  9. 9

    Differentiating axillary lymph node metastasis in invasive breast cancer patients: A comparison of radiomic signatures from multiparametric breast MR sequences by Chai, Ruimei, Ma, He, Xu, Mingjie, Arefan, Dooman, Cui, Xiaoyu, Liu, Yi, Zhang, Lina, Wu, Shandong, Xu, Ke

    Published in Journal of magnetic resonance imaging (01-10-2019)
    “…Background The axillary lymph node status is critical for breast cancer staging and individualized treatment planning. Purpose To assess the effect of…”
    Get full text
    Journal Article
  10. 10

    A two-stage CNN method for MRI image segmentation of prostate with lesion by Wang, Zixuan, Wu, Ruofan, Xu, Yanran, Liu, Yi, Chai, Ruimei, Ma, He

    Published in Biomedical signal processing and control (01-04-2023)
    “…Prostate magnetic resonance imaging (MRI) is widely used in the diagnosis of prostate cancer and other prostate diseases. The automatic segmentation of images…”
    Get full text
    Journal Article
  11. 11

    Pre-operative prediction of histopathological growth patterns of colorectal cancer liver metastasis using MRI-based radiomic models by Song, Chunlin, Li, Wenhui, Cui, Jingjing, Miao, Qi, Liu, Yi, Zhang, Zitian, Nie, Siru, Zhou, Meihong, Chai, Ruimei

    Published in Abdominal radiology (New York) (01-12-2024)
    “…Purpose Histopathological growth patterns (HGPs) of colorectal liver metastases (CRLMs) have prognostic value. However, the differentiation of HGPs relies on…”
    Get full text
    Journal Article
  12. 12

    Artificial intelligence to predict T4 stage of pancreatic ductal adenocarcinoma using CT imaging by Miao, Qi, Wang, Xuechun, Cui, Jingjing, Zheng, Haoxin, Xie, Yan, Zhu, Kexin, Chai, Ruimei, Jiang, Yuanxi, Feng, Dongli, Zhang, Xin, Shi, Feng, Tan, Xiaodong, Fan, Guoguang, Liang, Keke

    Published in Computers in biology and medicine (01-03-2024)
    “…The accurate assessment of T4 stage of pancreatic ductal adenocarcinoma (PDAC) has consistently presented a considerable difficulty for radiologists. This…”
    Get full text
    Journal Article
  13. 13

    The primary study of low-dose pancreas perfusion by 640- slice helical CT: a whole-organ perfusion by Tan, Zhengwu, Miao, Qi, Li, Xiaoling, Ren, Ke, Zhao, Yu, Zhao, Li, Li, Xuedan, Liu, Yi, Chai, Ruimei, Xu, Ke

    Published in SpringerPlus (21-04-2015)
    “…To discuss the feasibility of low-dose whole-pancreas imaging utilizing 640-slice dynamic volume CT.80 patients (40 cases of normal pancreas and 40 patients…”
    Get full text
    Journal Article