日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Preoperative Differentiation of HER2-Zero and HER2-Low from HER2-Positive Invasive Ductal Breast Cancers Using BI-RADS MRI Features and Machine Learning Modeling

利用BI-RADS MRI特征和机器学习模型对HER2-零型和HER2-低型浸润性导管乳腺癌进行术前鉴别诊断

Zhou, Jiejie; Zhang, Yang; Miao, Haiwei; Yoon, Ga Young; Wang, Jinhao; Lin, Yezhi; Wang, Hailing; Liu, Yan-Lin; Chen, Jeon-Hor; Pan, Zhifang; Su, Min-Ying; Wang, Meihao

MR T2* Map to Predict Worsening Hypertension Control: A Preliminary Study

利用磁共振T2*图预测高血压控制恶化:一项初步研究

Liu, Chun-Hung; Chen, Jeon-Hor; Westphalen, Antonio Carlos; Chen, Chun-Ming; Chang, Chih-Ping; Lin, Wei-Ching

Malignancy rate of lesions presenting as architectural distortion on DBT related to accompanied features, ultrasound findings, and BI-RADS density

在数字乳腺断层合成(DBT)中表现为结构扭曲的病变的恶性率与伴随特征、超声检查结果和BI-RADS密度相关。

Zhou, Jiejie; Chen, Xiao; Li, Qiao; Li, Rui; Wen, Sijia; Pan, Yong; Liu, Yan-Lin; Zhang, Yang; Chen, Jeon-Hor; Cao, Guo Quan; Wang, Meihao; Su, Min-Ying

MRI-Based Machine Learning for Prediction of Clinical Outcomes in Primary Central Nervous System Lymphoma

基于磁共振成像的机器学习在预测原发性中枢神经系统淋巴瘤临床结局中的应用

Ko, Ching-Chung; Liu, Yan-Lin; Hung, Kuo-Chuan; Yang, Cheng-Chun; Lim, Sher-Wei; Yeh, Lee-Ren; Chen, Jeon-Hor; Su, Min-Ying

Magnetic Resonance Imaging Features Associated with a High and Low Expression of Tumor-Infiltrating Lymphocytes: A Stratified Analysis According to Molecular Subtypes

磁共振成像特征与肿瘤浸润淋巴细胞高表达和低表达相关的特征:基于分子亚型的分层分析

Zhou, Jiejie; Jin, Yi; Miao, Haiwei; Lu, Shanshan; Liu, Xinmiao; He, Yun; Liu, Huiru; Zhao, Youfan; Zhang, Yang; Liu, Yan-Lin; Pan, Zhifang; Chen, Jeon-Hor; Wang, Meihao; Su, Min-Ying

Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification

基于深度学习的乳腺癌MRI自动诊断:采用Mask R-CNN进行检测,ResNet50进行分类

Zhang, Yang; Liu, Yan-Lin; Nie, Ke; Zhou, Jiejie; Chen, Zhongwei; Chen, Jeon-Hor; Wang, Xiao; Kim, Bomi; Parajuli, Ritesh; Mehta, Rita S; Wang, Meihao; Su, Min-Ying

Pretreatment diffusion-weighted imaging for prediction of relapsed and refractory primary central nervous system lymphoma

治疗前弥散加权成像用于预测复发和难治性原发性中枢神经系统淋巴瘤

Chien, Hsi-Cheng; Yeh, Lee-Ren; Hung, Kuo-Chuan; Lim, Sher-Wei; Cheng, Chung-Yu; Lee, Yu-Chang; Chen, Jeon-Hor; Ko, Ching-Chung

Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non-Fat-Sat Images and Tested on Fat-Sat Images

基于Mask R-CNN的MRI乳腺癌自动检测与分割:模型在非脂肪饱和图像上训练,在脂肪饱和图像上测试。

Zhang, Yang; Chan, Siwa; Park, Vivian Youngjean; Chang, Kai-Ting; Mehta, Siddharth; Kim, Min Jung; Combs, Freddie J; Chang, Peter; Chow, Daniel; Parajuli, Ritesh; Mehta, Rita S; Lin, Chin-Yao; Chien, Sou-Hsin; Chen, Jeon-Hor; Su, Min-Ying

Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features

利用深度学习预测无功能性垂体大腺瘤的进展和复发:结合临床和MRI特征

Chen, Yan-Jen; Hsieh, Hsun-Ping; Hung, Kuo-Chuan; Shih, Yun-Ju; Lim, Sher-Wei; Kuo, Yu-Ting; Chen, Jeon-Hor; Ko, Ching-Chung

Prediction of Intraparenchymal Hemorrhage Progression and Neurologic Outcome in Traumatic Brain Injury Patients Using Radiomics Score and Clinical Parameters

利用放射组学评分和临床参数预测创伤性脑损伤患者的脑实质内出血进展和神经系统预后

Shih, Yun-Ju; Liu, Yan-Lin; Chen, Jeon-Hor; Ho, Chung-Han; Yang, Cheng-Chun; Chen, Tai-Yuan; Wu, Te-Chang; Ko, Ching-Chung; Zhou, Jonathan T; Zhang, Yang; Su, Min-Ying