A citation-based method for searching scientific literature

Tianwen Xie, Qiufeng Zhao, Caixia Fu, Qianming Bai, Xiaoyan Zhou, Lihua Li, Robert Grimm, Li Liu, Yajia Gu, Weijun Peng. Eur Radiol 2019
Times Cited: 46







List of co-cited articles
402 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity



Is there a correlation between 3T multiparametric MRI and molecular subtypes of breast cancer?
Stefania Montemezzi, Lucia Camera, Maria Grazia Giri, Alice Pozzetto, Anna Caliò, Gabriele Meliadò, Francesca Caumo, Carlo Cavedon. Eur J Radiol 2018
26
38

Radiomics: Images Are More than Pictures, They Are Data.
Robert J Gillies, Paul E Kinahan, Hedvig Hricak. Radiology 2016
19

Whole-lesion histogram and texture analyses of breast lesions on inline quantitative DCE mapping with CAIPIRINHA-Dixon-TWIST-VIBE.
Kun Sun, Hong Zhu, Weimin Chai, Ying Zhan, Dominik Nickel, Robert Grimm, Caixia Fu, Fuhua Yan. Eur Radiol 2020
20
45

Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI.
Yuhao Dong, Qianjin Feng, Wei Yang, Zixiao Lu, Chunyan Deng, Lu Zhang, Zhouyang Lian, Jing Liu, Xiaoning Luo, Shufang Pei,[...]. Eur Radiol 2018
139
17

Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography.
Sebastian Bickelhaupt, Daniel Paech, Philipp Kickingereder, Franziska Steudle, Wolfgang Lederer, Heidi Daniel, Michael Götz, Nils Gählert, Diana Tichy, Manuel Wiesenfarth,[...]. J Magn Reson Imaging 2017
82
17

Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer.
Ming Fan, Hui Li, Shijian Wang, Bin Zheng, Juan Zhang, Lihua Li. PLoS One 2017
80
15

MRI texture analysis in differentiating luminal A and luminal B breast cancer molecular subtypes - a feasibility study.
Kirsi Holli-Helenius, Annukka Salminen, Irina Rinta-Kiikka, Ilkka Koskivuo, Nina Brück, Pia Boström, Riitta Parkkola. BMC Med Imaging 2017
59
15



Radiomic Signatures Derived from Diffusion-Weighted Imaging for the Assessment of Breast Cancer Receptor Status and Molecular Subtypes.
Doris Leithner, Blanca Bernard-Davila, Danny F Martinez, Joao V Horvat, Maxine S Jochelson, Maria Adele Marino, Daly Avendano, R Elena Ochoa-Albiztegui, Elizabeth J Sutton, Elizabeth A Morris,[...]. Mol Imaging Biol 2020
38
18

Correlations between diffusion-weighted imaging and breast cancer biomarkers.
Laura Martincich, Veronica Deantoni, Ilaria Bertotto, Stefania Redana, Franziska Kubatzki, Ivana Sarotto, Valentina Rossi, Michele Liotti, Riccardo Ponzone, Massimo Aglietta,[...]. Eur Radiol 2012
165
15

Histogram analysis of apparent diffusion coefficient at 3.0t: Correlation with prognostic factors and subtypes of invasive ductal carcinoma.
Eun Jeong Kim, Sung Hun Kim, Ga Eun Park, Bong Joo Kang, Byung Joo Song, Yun Ju Kim, Dongeon Lee, Hyunsoo Ahn, Inah Kim, Yo Han Son,[...]. J Magn Reson Imaging 2015
69
15

Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study.
Zhenyu Liu, Zhuolin Li, Jinrong Qu, Renzhi Zhang, Xuezhi Zhou, Longfei Li, Kai Sun, Zhenchao Tang, Hui Jiang, Hailiang Li,[...]. Clin Cancer Res 2019
177
15

Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.
Joao V Horvat, Blanca Bernard-Davila, Thomas H Helbich, Michelle Zhang, Elizabeth A Morris, Sunitha B Thakur, R Elena Ochoa-Albiztegui, Doris Leithner, Maria A Marino, Pascal A Baltzer,[...]. J Magn Reson Imaging 2019
40
17

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
38
18

Radiogenomic analysis of breast cancer: luminal B molecular subtype is associated with enhancement dynamics at MR imaging.
Maciej A Mazurowski, Jing Zhang, Lars J Grimm, Sora C Yoon, James I Silber. Radiology 2014
148
13

Magnetic resonance imaging texture analysis classification of primary breast cancer.
S A Waugh, C A Purdie, L B Jordan, S Vinnicombe, R A Lerski, P Martin, A M Thompson. Eur Radiol 2016
119
13

Breast cancer molecular subtype classifier that incorporates MRI features.
Elizabeth J Sutton, Brittany Z Dashevsky, Jung Hun Oh, Harini Veeraraghavan, Aditya P Apte, Sunitha B Thakur, Elizabeth A Morris, Joseph O Deasy. J Magn Reson Imaging 2016
81
13

Breast Cancer Heterogeneity: MR Imaging Texture Analysis and Survival Outcomes.
Jae-Hun Kim, Eun Sook Ko, Yaeji Lim, Kyung Soo Lee, Boo-Kyung Han, Eun Young Ko, Soo Yeon Hahn, Seok Jin Nam. Radiology 2017
139
13

Evaluation of breast cancer using intravoxel incoherent motion (IVIM) histogram analysis: comparison with malignant status, histological subtype, and molecular prognostic factors.
Gene Young Cho, Linda Moy, Sungheon G Kim, Steven H Baete, Melanie Moccaldi, James S Babb, Daniel K Sodickson, Eric E Sigmund. Eur Radiol 2016
94
13


Multiparametric diffusion-weighted imaging in breast lesions: Association with pathologic diagnosis and prognostic factors.
Shiteng Suo, Fang Cheng, Mengqiu Cao, Jiwen Kang, Mingyao Wang, Jia Hua, Xiaolan Hua, Lan Li, Qing Lu, Jialin Liu,[...]. J Magn Reson Imaging 2017
60
13


Triple-negative breast cancer: correlation between MR imaging and pathologic findings.
Takayoshi Uematsu, Masako Kasami, Sachiko Yuen. Radiology 2009
220
13

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach.
Hugo J W L Aerts, Emmanuel Rios Velazquez, Ralph T H Leijenaar, Chintan Parmar, Patrick Grossmann, Sara Carvalho, Johan Bussink, René Monshouwer, Benjamin Haibe-Kains, Derek Rietveld,[...]. Nat Commun 2014
13

Radiomics Based on Adapted Diffusion Kurtosis Imaging Helps to Clarify Most Mammographic Findings Suspicious for Cancer.
Sebastian Bickelhaupt, Paul Ferdinand Jaeger, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Lorenz Wuesthof, Daniel Paech, David Bonekamp, Alexander Radbruch,[...]. Radiology 2018
62
10


Diffusion-Weighted Imaging in 3.0 Tesla Breast MRI: Diagnostic Performance and Tumor Characterization Using Small Subregions vs. Whole Tumor Regions of Interest.
Otso Arponen, Mazen Sudah, Amro Masarwah, Mikko Taina, Suvi Rautiainen, Mervi Könönen, Reijo Sironen, Veli-Matti Kosma, Anna Sutela, Juhana Hakumäki,[...]. PLoS One 2015
47
10



Diffusion-weighted breast MRI: Clinical applications and emerging techniques.
Savannah C Partridge, Noam Nissan, Habib Rahbar, Averi E Kitsch, Eric E Sigmund. J Magn Reson Imaging 2017
165
10

Breast Cancer Treatment: A Review.
Adrienne G Waks, Eric P Winer. JAMA 2019
10

Molecular portraits of human breast tumours.
C M Perou, T Sørlie, M B Eisen, M van de Rijn, S S Jeffrey, C A Rees, J R Pollack, D T Ross, H Johnsen, L A Akslen,[...]. Nature 2000
10

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Radiomics Features of DCE-MRI.
Xiaoyu Cui, Nian Wang, Yue Zhao, Shuo Chen, Songbai Li, Mingjie Xu, Ruimei Chai. Sci Rep 2019
46
10


Preliminary Study on Molecular Subtypes of Breast Cancer Based on Magnetic Resonance Imaging Texture Analysis.
Xinru Sun, Bing He, Xin Luo, Yuhua Li, Jinfeng Cao, Jinlan Wang, Jun Dong, Xiaoyu Sun, Guangxia Zhang. J Comput Assist Tomogr 2018
17
29


MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.
Hui Li, Yitan Zhu, Elizabeth S Burnside, Karen Drukker, Katherine A Hoadley, Cheng Fan, Suzanne D Conzen, Gary J Whitman, Elizabeth J Sutton, Jose M Net,[...]. Radiology 2016
282
8

Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.
Hui Li, Yitan Zhu, Elizabeth S Burnside, Erich Huang, Karen Drukker, Katherine A Hoadley, Cheng Fan, Suzanne D Conzen, Margarita Zuley, Jose M Net,[...]. NPJ Breast Cancer 2016
199
8


Magnetic resonance imaging features in triple-negative breast cancer: comparison with luminal and HER2-overexpressing tumors.
Melania Costantini, Paolo Belli, Daniela Distefano, Enida Bufi, Marialuisa Di Matteo, Pierluigi Rinaldi, Michela Giuliani, Gianluigi Petrone, Stefano Magno, Lorenzo Bonomo. Clin Breast Cancer 2012
47
8

Potential of Diffusion-Weighted Imaging in the Characterization of Malignant, Benign, and Healthy Breast Tissues and Molecular Subtypes of Breast Cancer.
Uma Sharma, Rani G Sah, Khushbu Agarwal, Rajinder Parshad, Vurthaluru Seenu, Sandeep R Mathur, Smriti Hari, Naranamangalam R Jagannathan. Front Oncol 2016
31
12


Correlation of the apparent diffusion coefficient value and dynamic magnetic resonance imaging findings with prognostic factors in invasive ductal carcinoma.
Su Kyung Jeh, Sung Hun Kim, Hyeon Sook Kim, Bong Joo Kang, Seung Hee Jeong, Hyeon Woo Yim, Byung Joo Song. J Magn Reson Imaging 2011
111
8

Diffusion Kurtosis at 3.0T as an in vivo Imaging Marker for Breast Cancer Characterization: Correlation With Prognostic Factors.
Yao Huang, Yan Lin, Wei Hu, Changchun Ma, Weixun Lin, Zhening Wang, Jiahao Liang, Wei Ye, Jiayun Zhao, Renhua Wu. J Magn Reson Imaging 2019
39
10

Differentiation Between Luminal-A and Luminal-B Breast Cancer Using Intravoxel Incoherent Motion and Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
Hiroko Kawashima, Tosiaki Miyati, Naoki Ohno, Masako Ohno, Masafumi Inokuchi, Hiroko Ikeda, Toshifumi Gabata. Acad Radiol 2017
17
23

Can diffusion-weighted imaging predict tumor grade and expression of Ki-67 in breast cancer? A multicenter analysis.
Alexey Surov, Paola Clauser, Yun-Woo Chang, Lihua Li, Laura Martincich, Savannah C Partridge, Jin You Kim, Hans Jonas Meyer, Andreas Wienke. Breast Cancer Res 2018
30
13


Diffusion-weighted imaging in assessing pathological response of tumor in breast cancer subtype to neoadjuvant chemotherapy.
Shangang Liu, Ruimei Ren, Zhaoqiu Chen, Yongsheng Wang, Tingyong Fan, Chengli Li, Pinliang Zhang. J Magn Reson Imaging 2015
41
9


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.