A citation-based method for searching scientific literature

Ji Hyun Youk, Eun Ju Son, Jin Chung, Jeong-Ah Kim, Eun-Kyung Kim. Eur Radiol 2012
Times Cited: 144







List of shared articles



Times cited

Magnetic Resonance Imaging Phenotypes of Breast Cancer Molecular Subtypes: A Systematic Review.
Nazimah Ab Mumin, Marlina Tanty Ramli Hamid, Jeannie Hsiu Ding Wong, Kartini Rahmat, Kwan Hoong Ng. Acad Radiol 2022
3


Breast Cancer Subtypes and Quantitative Magnetic Resonance Imaging: A Systemic Review.
Toshiki Kazama, Taro Takahara, Jun Hashimoto. Life (Basel) 2022
2


Radiomic analysis on magnetic resonance diffusion weighted image in distinguishing triple-negative breast cancer from other subtypes: a feasibility study.
Qinglin Wang, Ning Mao, Meijie Liu, Yinghong Shi, Heng Ma, Jianjun Dong, Xuexi Zhang, Shaofeng Duan, Bin Wang, Haizhu Xie. Clin Imaging 2021
7

Intravoxel incoherent motion magnetic resonance imaging for breast cancer: A comparison with molecular subtypes and histological grades.
Hande Uslu, Tugay Önal, Mesude Tosun, Arzu S Arslan, Ercument Ciftci, Nihat Zafer Utkan. Magn Reson Imaging 2021
3

Histogram analysis of quantitative parameters from synthetic MRI: Correlations with prognostic factors and molecular subtypes in invasive ductal breast cancer.
Qin Li, Qin Xiao, Meng Yang, Qinghuan Chai, Yan Huang, Pu-Yeh Wu, Qingliang Niu, Yajia Gu. Eur J Radiol 2021
6

Triple-negative breast cancer on contrast-enhanced MRI and synthetic MRI: A comparison with non-triple-negative breast carcinoma.
Megumi Matsuda, Takaharu Tsuda, Rui Ebihara, Wataru Toshimori, Kanako Okada, Shiori Takeda, Aya Okumura, Yasuhiro Shiraishi, Hiroshi Suekuni, Yoshiaki Kamei,[...]. Eur J Radiol 2021
1

Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.
Yuhong Huang, Lihong Wei, Yalan Hu, Nan Shao, Yingyu Lin, Shaofu He, Huijuan Shi, Xiaoling Zhang, Ying Lin. Front Oncol 2021
10

Evaluation of Background Parenchymal Enhancement and Histogram-Based Diffusion-Weighted Image in Determining the Molecular Subtype of Breast Cancer.
Chao You, Yunyan Zhang, Yanqiong Chen, Xiaoxin Hu, Danting Hu, Jiong Wu, Yajia Gu, Weijun Peng. J Comput Assist Tomogr 2021
1

Diffusion MRI of the breast: Current status and future directions.
Mami Iima, Maya Honda, Eric E Sigmund, Ayami Ohno Kishimoto, Masako Kataoka, Kaori Togashi. J Magn Reson Imaging 2020
50

The Impact of Normalization Approaches to Automatically Detect Radiogenomic Phenotypes Characterizing Breast Cancer Receptors Status.
Rossana Castaldo, Katia Pane, Emanuele Nicolai, Marco Salvatore, Monica Franzese. Cancers (Basel) 2020
18

Differentiation of triple-negative breast cancer from other subtypes through whole-tumor histogram analysis on multiparametric MR imaging.
Tianwen Xie, Qiufeng Zhao, Caixia Fu, Qianming Bai, Xiaoyan Zhou, Lihua Li, Robert Grimm, Li Liu, Yajia Gu, Weijun Peng. Eur Radiol 2019
44

Machine Learning-Based Analysis of MR Multiparametric Radiomics for the Subtype Classification of Breast Cancer.
Tianwen Xie, Zhe Wang, Qiufeng Zhao, Qianming Bai, Xiaoyan Zhou, Yajia Gu, Weijun Peng, He Wang. Front Oncol 2019
36

Added value of histogram analysis of apparent diffusion coefficient maps for differentiating triple-negative breast cancer from other subtypes of breast cancer on standard MRI.
Hong-Li Liu, Min Zong, Han Wei, Cong Wang, Jian-Juan Lou, Si-Qi Wang, Qi-Gui Zou, Yan-Ni Jiang. Cancer Manag Res 2019
6


Relationship between functional imaging and immunohistochemical markers and prediction of breast cancer subtype: a PET/MRI study.
Mariarosaria Incoronato, Anna Maria Grimaldi, Carlo Cavaliere, Marianna Inglese, Peppino Mirabelli, Serena Monti, Umberto Ferbo, Emanuele Nicolai, Andrea Soricelli, Onofrio Antonio Catalano,[...]. Eur J Nucl Med Mol Imaging 2018
24