A citation-based method for searching scientific literature

Roberto Lo Gullo, Isaac Daimiel, Carolina Rossi Saccarelli, Almir Bitencourt, Peter Gibbs, Michael J Fox, Sunitha B Thakur, Danny F Martinez, Maxine S Jochelson, Elizabeth A Morris, Katja Pinker. Eur Radiol 2020
Times Cited: 15







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



Times Cited
  Times     Co-cited
Similarity


Radiomics: the bridge between medical imaging and personalized medicine.
Philippe Lambin, Ralph T H Leijenaar, Timo M Deist, Jurgen Peerlings, Evelyn E C de Jong, Janita van Timmeren, Sebastian Sanduleanu, Ruben T H M Larue, Aniek J G Even, Arthur Jochems,[...]. Nat Rev Clin Oncol 2017
46

Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI.
Daniel Truhn, Simone Schrading, Christoph Haarburger, Hannah Schneider, Dorit Merhof, Christiane Kuhl. Radiology 2019
81
46

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
79
46

Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions.
Qian Zhang, Yunsong Peng, Wei Liu, Jiayuan Bai, Jian Zheng, Xiaodong Yang, Lijuan Zhou. J Magn Reson Imaging 2020
29
40

Characterization of Sub-1 cm Breast Lesions Using Radiomics Analysis.
Peter Gibbs, Natsuko Onishi, Meredith Sadinski, Katherine M Gallagher, Mary Hughes, Danny F Martinez, Elizabeth A Morris, Elizabeth J Sutton. J Magn Reson Imaging 2019
22
40

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
139
40

Changes in primary breast cancer heterogeneity may augment midtreatment MR imaging assessment of response to neoadjuvant chemotherapy.
Jyoti Parikh, Mariyah Selmi, Geoff Charles-Edwards, Jennifer Glendenning, Balaji Ganeshan, Hema Verma, Janine Mansi, Mark Harries, Andrew Tutt, Vicky Goh. Radiology 2014
85
33

Machine learning in breast MRI.
Beatriu Reig, Laura Heacock, Krzysztof J Geras, Linda Moy. J Magn Reson Imaging 2020
42
33

Radiomics: Images Are More than Pictures, They Are Data.
Robert J Gillies, Paul E Kinahan, Hedvig Hricak. Radiology 2016
33

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
124
33

Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue.
Jiejie Zhou, Yang Zhang, Kai-Ting Chang, Kyoung Eun Lee, Ouchen Wang, Jiance Li, Yezhi Lin, Zhifang Pan, Peter Chang, Daniel Chow,[...]. J Magn Reson Imaging 2020
40
33

Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer.
Hyunjin Park, Yaeji Lim, Eun Sook Ko, Hwan-Ho Cho, Jeong Eon Lee, Boo-Kyung Han, Eun Young Ko, Ji Soo Choi, Ko Woon Park. Clin Cancer Res 2018
106
26


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
75
26

Breast MRI: State of the Art.
Ritse M Mann, Nariya Cho, Linda Moy. Radiology 2019
152
26

Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
Nathaniel M Braman, Maryam Etesami, Prateek Prasanna, Christina Dubchuk, Hannah Gilmore, Pallavi Tiwari, Donna Plecha, Anant Madabhushi. Breast Cancer Res 2017
247
26

Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.
Yu Ji, Hui Li, Alexandra V Edwards, John Papaioannou, Wenjuan Ma, Peifang Liu, Maryellen L Giger. Cancer Imaging 2019
18
26

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.
Alex Zwanenburg, Martin Vallières, Mahmoud A Abdalah, Hugo J W L Aerts, Vincent Andrearczyk, Aditya Apte, Saeed Ashrafinia, Spyridon Bakas, Roelof J Beukinga, Ronald Boellaard,[...]. Radiology 2020
766
26

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
32
26

Radiomics in Breast Imaging from Techniques to Clinical Applications: A Review.
Seung Hak Lee, Hyunjin Park, Eun Sook Ko. Korean J Radiol 2020
27
26

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
57
26

Mammography-based radiomic analysis for predicting benign BI-RADS category 4 calcifications.
Chuqian Lei, Wei Wei, Zhenyu Liu, Qianqian Xiong, Ciqiu Yang, Mei Yang, Liulu Zhang, Teng Zhu, Xiaosheng Zhuang, Chunling Liu,[...]. Eur J Radiol 2019
17
20


An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer.
Cuishan Liang, Zixuan Cheng, Yanqi Huang, Lan He, Xin Chen, Zelan Ma, Xiaomei Huang, Changhong Liang, Zaiyi Liu. Acad Radiol 2018
45
20


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
132
20

Radiomic features of Pk-DCE MRI parameters based on the extensive Tofts model in application of breast cancer.
Xiaoyu Zhou, Feng Gao, Shaofeng Duan, Lianmei Zhang, Yan Liu, Junyi Zhou, Genji Bai, Weijing Tao. Phys Eng Sci Med 2020
4
75

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
264
20

Artificial intelligence in radiology.
Ahmed Hosny, Chintan Parmar, John Quackenbush, Lawrence H Schwartz, Hugo J W L Aerts. Nat Rev Cancer 2018
703
20

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.
Thomas Schaffter, Diana S M Buist, Christoph I Lee, Yaroslav Nikulin, Dezso Ribli, Yuanfang Guan, William Lotter, Zequn Jie, Hao Du, Sijia Wang,[...]. JAMA Netw Open 2020
90
20

Overview of radiomics in breast cancer diagnosis and prognostication.
Alberto Stefano Tagliafico, Michele Piana, Daniela Schenone, Rita Lai, Anna Maria Massone, Nehmat Houssami. Breast 2020
59
20

Diffusion-weighted imaging of the breast-a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group.
Pascal Baltzer, Ritse M Mann, Mami Iima, Eric E Sigmund, Paola Clauser, Fiona J Gilbert, Laura Martincich, Savannah C Partridge, Andrew Patterson, Katja Pinker,[...]. Eur Radiol 2020
95
20

Adjusting batch effects in microarray expression data using empirical Bayes methods.
W Evan Johnson, Cheng Li, Ariel Rabinovic. Biostatistics 2007
20

Radiomics: from qualitative to quantitative imaging.
William Rogers, Sithin Thulasi Seetha, Turkey A G Refaee, Relinde I Y Lieverse, Renée W Y Granzier, Abdalla Ibrahim, Simon A Keek, Sebastian Sanduleanu, Sergey P Primakov, Manon P L Beuque,[...]. Br J Radiol 2020
63
20

Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research.
Aditya P Apte, Aditi Iyer, Mireia Crispin-Ortuzar, Rutu Pandya, Lisanne V van Dijk, Emiliano Spezi, Maria Thor, Hyemin Um, Harini Veeraraghavan, Jung Hun Oh,[...]. Med Phys 2018
60
20

Breast MRI: EUSOBI recommendations for women's information.
Ritse M Mann, Corinne Balleyguier, Pascal A Baltzer, Ulrich Bick, Catherine Colin, Eleanor Cornford, Andrew Evans, Eva Fallenberg, Gabor Forrai, Michael H Fuchsjäger,[...]. Eur Radiol 2015
199
20

Precision Medicine and Radiogenomics in Breast Cancer: New Approaches toward Diagnosis and Treatment.
Katja Pinker, Joanne Chin, Amy N Melsaether, Elizabeth A Morris, Linda Moy. Radiology 2018
108
20

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
38
20

Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
Chunling Liu, Jie Ding, Karl Spuhler, Yi Gao, Mario Serrano Sosa, Meghan Moriarty, Shahid Hussain, Xiang He, Changhong Liang, Chuan Huang. J Magn Reson Imaging 2019
82
20

AI-Enhanced Diagnosis of Challenging Lesions in Breast MRI: A Methodology and Application Primer.
Anke Meyer-Base, Lia Morra, Amirhessam Tahmassebi, Marc Lobbes, Uwe Meyer-Base, Katja Pinker. J Magn Reson Imaging 2021
9
33

Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
Amirhessam Tahmassebi, Georg J Wengert, Thomas H Helbich, Zsuzsanna Bago-Horvath, Sousan Alaei, Rupert Bartsch, Peter Dubsky, Pascal Baltzer, Paola Clauser, Panagiotis Kapetas,[...]. Invest Radiol 2019
85
20

Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI.
Mehmet U Dalmiş, Albert Gubern-Mérida, Suzan Vreemann, Peter Bult, Nico Karssemeijer, Ritse Mann, Jonas Teuwen. Invest Radiol 2019
48
20

Features from Computerized Texture Analysis of Breast Cancers at Pretreatment MR Imaging Are Associated with Response to Neoadjuvant Chemotherapy.
Foucauld Chamming's, Yoshiko Ueno, Romuald Ferré, Ellen Kao, Anne-Sophie Jannot, Jaron Chong, Atilla Omeroglu, Benoît Mesurolle, Caroline Reinhold, Benoit Gallix. Radiology 2018
64
20

Robust Radiomics feature quantification using semiautomatic volumetric segmentation.
Chintan Parmar, Emmanuel Rios Velazquez, Ralph Leijenaar, Mohammed Jermoumi, Sara Carvalho, Raymond H Mak, Sushmita Mitra, B Uma Shankar, Ron Kikinis, Benjamin Haibe-Kains,[...]. PLoS One 2014
330
13

Added Value of Radiomics on Mammography for Breast Cancer Diagnosis: A Feasibility Study.
Ning Mao, Ping Yin, Qinglin Wang, Meijie Liu, Jianjun Dong, Xuexi Zhang, Haizhu Xie, Nan Hong. J Am Coll Radiol 2019
24
13

Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study.
Ning Mao, Ping Yin, Qin Li, Qinglin Wang, Meijie Liu, Heng Ma, Jianjun Dong, Kaili Che, Zhongyi Wang, Shaofeng Duan,[...]. Eur Radiol 2020
16
13

Radiomics: the process and the challenges.
Virendra Kumar, Yuhua Gu, Satrajit Basu, Anders Berglund, Steven A Eschrich, Matthew B Schabath, Kenneth Forster, Hugo J W L Aerts, Andre Dekker, David Fenstermacher,[...]. Magn Reson Imaging 2012
13

A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI.
Natascha C D'Amico, Enzo Grossi, Giovanni Valbusa, Francesca Rigiroli, Bernardo Colombo, Massimo Buscema, Deborah Fazzini, Marco Ali, Ala Malasevschi, Gianpaolo Cornalba,[...]. Eur Radiol Exp 2020
7
28

Texture analysis in assessment and prediction of chemotherapy response in breast cancer.
Arfan Ahmed, Peter Gibbs, Martin Pickles, Lindsay Turnbull. J Magn Reson Imaging 2013
140
13

Computational Radiomics System to Decode the Radiographic Phenotype.
Joost J M van Griethuysen, Andriy Fedorov, Chintan Parmar, Ahmed Hosny, Nicole Aucoin, Vivek Narayan, Regina G H Beets-Tan, Jean-Christophe Fillion-Robin, Steve Pieper, Hugo J W L Aerts. Cancer Res 2017
13


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.