A citation-based method for searching scientific literature

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, Yvonka van Wijk, Henry Woodruff, Johan van Soest, Tim Lustberg, Erik Roelofs, Wouter van Elmpt, Andre Dekker, Felix M Mottaghy, Joachim E Wildberger, Sean Walsh. Nat Rev Clin Oncol 2017
Times Cited: 1801







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



Times Cited
  Times     Co-cited
Similarity


Radiomics: Images Are More than Pictures, They Are Data.
Robert J Gillies, Paul E Kinahan, Hedvig Hricak. Radiology 2016
50

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
33

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
929
32

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
25

Radiomics: extracting more information from medical images using advanced feature analysis.
Philippe Lambin, Emmanuel Rios-Velazquez, Ralph Leijenaar, Sara Carvalho, Ruud G P M van Stiphout, Patrick Granton, Catharina M L Zegers, Robert Gillies, Ronald Boellard, André Dekker,[...]. Eur J Cancer 2012
24

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.
Freddie Bray, Jacques Ferlay, Isabelle Soerjomataram, Rebecca L Siegel, Lindsey A Torre, Ahmedin Jemal. CA Cancer J Clin 2018
10

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
10

Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer.
Yan-Qi Huang, Chang-Hong Liang, Lan He, Jie Tian, Cui-Shan Liang, Xin Chen, Ze-Lan Ma, Zai-Yi Liu. J Clin Oncol 2016
940
10

Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters.
Roberto Berenguer, María Del Rosario Pastor-Juan, Jesús Canales-Vázquez, Miguel Castro-García, María Victoria Villas, Francisco Mansilla Legorburo, Sebastià Sabater. Radiology 2018
295
9

Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?
Fergus Davnall, Connie S P Yip, Gunnar Ljungqvist, Mariyah Selmi, Francesca Ng, Bal Sanghera, Balaji Ganeshan, Kenneth A Miles, Gary J Cook, Vicky Goh. Insights Imaging 2012
570
8

Repeatability and Reproducibility of Radiomic Features: A Systematic Review.
Alberto Traverso, Leonard Wee, Andre Dekker, Robert Gillies. Int J Radiat Oncol Biol Phys 2018
357
8

Radiomics: the facts and the challenges of image analysis.
Stefania Rizzo, Francesca Botta, Sara Raimondi, Daniela Origgi, Cristiana Fanciullo, Alessio Giuseppe Morganti, Massimo Bellomi. Eur Radiol Exp 2018
371
7

Radiomics of computed tomography and magnetic resonance imaging in renal cell carcinoma-a systematic review and meta-analysis.
Stephan Ursprung, Lucian Beer, Annemarie Bruining, Ramona Woitek, Grant D Stewart, Ferdia A Gallagher, Evis Sala. Eur Radiol 2020
54
12

Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology.
E J Limkin, R Sun, L Dercle, E I Zacharaki, C Robert, S Reuzé, A Schernberg, N Paragios, E Deutsch, C Ferté. Ann Oncol 2017
344
7


Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.
Hyuna Sung, Jacques Ferlay, Rebecca L Siegel, Mathieu Laversanne, Isabelle Soerjomataram, Ahmedin Jemal, Freddie Bray. CA Cancer J Clin 2021
7

The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.
David N Louis, Arie Perry, Guido Reifenberger, Andreas von Deimling, Dominique Figarella-Branger, Webster K Cavenee, Hiroko Ohgaki, Otmar D Wiestler, Paul Kleihues, David W Ellison. Acta Neuropathol 2016
6

Robustness of radiomic features in magnetic resonance imaging: review and a phantom study.
Renee Cattell, Shenglan Chen, Chuan Huang. Vis Comput Ind Biomed Art 2019
43
13

Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform.
Isabella Fornacon-Wood, Hitesh Mistry, Christoph J Ackermann, Fiona Blackhall, Andrew McPartlin, Corinne Faivre-Finn, Gareth J Price, James P B O'Connor. Eur Radiol 2020
59
10

Radiomics in medical imaging-"how-to" guide and critical reflection.
Janita E van Timmeren, Davide Cester, Stephanie Tanadini-Lang, Hatem Alkadhi, Bettina Baessler. Insights Imaging 2020
219
6

Robustness and Reproducibility of Radiomics in Magnetic Resonance Imaging: A Phantom Study.
Bettina Baeßler, Kilian Weiss, Daniel Pinto Dos Santos. Invest Radiol 2019
114
6

Measuring Computed Tomography Scanner Variability of Radiomics Features.
Dennis Mackin, Xenia Fave, Lifei Zhang, David Fried, Jinzhong Yang, Brian Taylor, Edgardo Rodriguez-Rivera, Cristina Dodge, Aaron Kyle Jones, Laurence Court. Invest Radiol 2015
375
6

Machine Learning methods for Quantitative Radiomic Biomarkers.
Chintan Parmar, Patrick Grossmann, Johan Bussink, Philippe Lambin, Hugo J W L Aerts. Sci Rep 2015
500
6

Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma.
Bin Zhang, Jie Tian, Di Dong, Dongsheng Gu, Yuhao Dong, Lu Zhang, Zhouyang Lian, Jing Liu, Xiaoning Luo, Shufang Pei,[...]. Clin Cancer Res 2017
300
6

The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges.
Zhenyu Liu, Shuo Wang, Di Dong, Jingwei Wei, Cheng Fang, Xuezhi Zhou, Kai Sun, Longfei Li, Bo Li, Meiyun Wang,[...]. Theranostics 2019
282
5

QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.
Penny F Whiting, Anne W S Rutjes, Marie E Westwood, Susan Mallett, Jonathan J Deeks, Johannes B Reitsma, Mariska M G Leeflang, Jonathan A C Sterne, Patrick M M Bossuyt. Ann Intern Med 2011
5

Radiomics in breast cancer classification and prediction.
Allegra Conti, Andrea Duggento, Iole Indovina, Maria Guerrisi, Nicola Toschi. Semin Cancer Biol 2021
48
10

Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancer.
Yuming Jiang, Chuanli Chen, Jingjing Xie, Wei Wang, Xuefan Zha, Wenbing Lv, Hao Chen, Yanfeng Hu, Tuanjie Li, Jiang Yu,[...]. EBioMedicine 2018
94
5

Prostate MRI radiomics: A systematic review and radiomic quality score assessment.
Arnaldo Stanzione, Michele Gambardella, Renato Cuocolo, Andrea Ponsiglione, Valeria Romeo, Massimo Imbriaco. Eur J Radiol 2020
53
9

Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement.
Ji Eun Park, Donghyun Kim, Ho Sung Kim, Seo Young Park, Jung Youn Kim, Se Jin Cho, Jae Ho Shin, Jeong Hoon Kim. Eur Radiol 2020
115
5


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
71
7

Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings.
Mathias Meyer, James Ronald, Federica Vernuccio, Rendon C Nelson, Juan Carlos Ramirez-Giraldo, Justin Solomon, Bhavik N Patel, Ehsan Samei, Daniele Marin. Radiology 2019
110
5


Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.
Jooae Choe, Sang Min Lee, Kyung-Hyun Do, Gaeun Lee, June-Goo Lee, Sang Min Lee, Joon Beom Seo. Radiology 2019
120
5

Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics.
Martina Sollini, Lidija Antunovic, Arturo Chiti, Margarita Kirienko. Eur J Nucl Med Mol Imaging 2019
106
5


Imaging biomarker roadmap for cancer studies.
James P B O'Connor, Eric O Aboagye, Judith E Adams, Hugo J W L Aerts, Sally F Barrington, Ambros J Beer, Ronald Boellaard, Sarah E Bohndiek, Michael Brady, Gina Brown,[...]. Nat Rev Clin Oncol 2017
549
5

Introduction to Radiomics.
Marius E Mayerhoefer, Andrzej Materka, Georg Langs, Ida Häggström, Piotr Szczypiński, Peter Gibbs, Gary Cook. J Nucl Med 2020
213
5

Responsible Radiomics Research for Faster Clinical Translation.
Martin Vallières, Alex Zwanenburg, Bodgan Badic, Catherine Cheze Le Rest, Dimitris Visvikis, Mathieu Hatt. J Nucl Med 2018
112
5

Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type.
Helge C Kniep, Frederic Madesta, Tanja Schneider, Uta Hanning, Michael H Schönfeld, Gerhard Schön, Jens Fiehler, Tobias Gauer, René Werner, Susanne Gellissen. Radiology 2019
95
4

Radiomic phenotype features predict pathological response in non-small cell lung cancer.
Thibaud P Coroller, Vishesh Agrawal, Vivek Narayan, Ying Hou, Patrick Grossmann, Stephanie W Lee, Raymond H Mak, Hugo J W L Aerts. Radiother Oncol 2016
197
4

Machine Learning for Medical Imaging.
Bradley J Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy L Kline. Radiographics 2017
468
4

CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges.
Meghan G Lubner, Andrew D Smith, Kumar Sandrasegaran, Dushyant V Sahani, Perry J Pickhardt. Radiographics 2017
422
4

Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging.
Yae Won Park, Jongmin Oh, Seng Chan You, Kyunghwa Han, Sung Soo Ahn, Yoon Seong Choi, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee. Eur Radiol 2019
90
4

CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2012-2016.
Quinn T Ostrom, Gino Cioffi, Haley Gittleman, Nirav Patil, Kristin Waite, Carol Kruchko, Jill S Barnholtz-Sloan. Neuro Oncol 2019
4

Radiomic signature of 18F fluorodeoxyglucose PET/CT for prediction of gastric cancer survival and chemotherapeutic benefits.
Yuming Jiang, Qingyu Yuan, Wenbing Lv, Sujuan Xi, Weicai Huang, Zepang Sun, Hao Chen, Liying Zhao, Wei Liu, Yanfeng Hu,[...]. Theranostics 2018
75
5

MR Imaging of Rectal Cancer: Radiomics Analysis to Assess Treatment Response after Neoadjuvant Therapy.
Natally Horvat, Harini Veeraraghavan, Monika Khan, Ivana Blazic, Junting Zheng, Marinela Capanu, Evis Sala, Julio Garcia-Aguilar, Marc J Gollub, Iva Petkovska. Radiology 2018
171
4

Repeatability of Multiparametric Prostate MRI Radiomics Features.
Michael Schwier, Joost van Griethuysen, Mark G Vangel, Steve Pieper, Sharon Peled, Clare Tempany, Hugo J W L Aerts, Ron Kikinis, Fiona M Fennessy, Andriy Fedorov. Sci Rep 2019
121
4

Repeatability and reproducibility of MRI-based radiomic features in cervical cancer.
Sandra Fiset, Mattea L Welch, Jessica Weiss, Melania Pintilie, Jessica L Conway, Michael Milosevic, Anthony Fyles, Alberto Traverso, David Jaffray, Ur Metser,[...]. Radiother Oncol 2019
77
5


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.