A citation-based method for searching scientific literature

Robert A Gatenby, Olya Grove, Robert J Gillies. Radiology 2013
Times Cited: 241







List of co-cited articles
665 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
37

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
30

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
21

Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome.
James P B O'Connor, Chris J Rose, John C Waterton, Richard A D Carano, Geoff J M Parker, Alan Jackson. Clin Cancer Res 2015
349
19

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
17

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
16

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
14

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma.
Thibaud P Coroller, Patrick Grossmann, Ying Hou, Emmanuel Rios Velazquez, Ralph T H Leijenaar, Gretchen Hermann, Philippe Lambin, Benjamin Haibe-Kains, Raymond H Mak, Hugo J W L Aerts. Radiother Oncol 2015
429
10

Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.
Marco Gerlinger, Andrew J Rowan, Stuart Horswell, M Math, James Larkin, David Endesfelder, Eva Gronroos, Pierre Martinez, Nicholas Matthews, Aengus Stewart,[...]. N Engl J Med 2012
9

Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study.
Jia Wu, Michael F Gensheimer, Xinzhe Dong, Daniel L Rubin, Sandy Napel, Maximilian Diehn, Billy W Loo, Ruijiang Li. Int J Radiat Oncol Biol Phys 2016
50
18

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
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
9

Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma.
Olya Grove, Anders E Berglund, Matthew B Schabath, Hugo J W L Aerts, Andre Dekker, Hua Wang, Emmanuel Rios Velazquez, Philippe Lambin, Yuhua Gu, Yoganand Balagurunathan,[...]. PLoS One 2015
137
9

Applications and limitations of radiomics.
Stephen S F Yip, Hugo J W L Aerts. Phys Med Biol 2016
524
9

Machine Learning methods for Quantitative Radiomic Biomarkers.
Chintan Parmar, Patrick Grossmann, Johan Bussink, Philippe Lambin, Hugo J W L Aerts. Sci Rep 2015
500
9

Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction.
Mu Zhou, Baishali Chaudhury, Lawrence O Hall, Dmitry B Goldgof, Robert J Gillies, Robert A Gatenby. J Magn Reson Imaging 2017
43
18

DCE-MRI texture analysis with tumor subregion partitioning for predicting Ki-67 status of estrogen receptor-positive breast cancers.
Ming Fan, Hu Cheng, Peng Zhang, Xin Gao, Juan Zhang, Guoliang Shao, Lihua Li. J Magn Reson Imaging 2018
44
18

Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels.
Muhammad Shafiq-Ul-Hassan, Geoffrey G Zhang, Kujtim Latifi, Ghanim Ullah, Dylan C Hunt, Yoganand Balagurunathan, Mahmoud Abrahem Abdalah, Matthew B Schabath, Dmitry G Goldgof, Dennis Mackin,[...]. Med Phys 2017
312
8

Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival.
Balaji Ganeshan, Elleny Panayiotou, Kate Burnand, Sabina Dizdarevic, Ken Miles. Eur Radiol 2012
350
8

New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).
E A Eisenhauer, P Therasse, J Bogaerts, L H Schwartz, D Sargent, R Ford, J Dancey, S Arbuck, S Gwyther, M Mooney,[...]. Eur J Cancer 2009
8


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
7

3D Slicer as an image computing platform for the Quantitative Imaging Network.
Andriy Fedorov, Reinhard Beichel, Jayashree Kalpathy-Cramer, Julien Finet, Jean-Christophe Fillion-Robin, Sonia Pujol, Christian Bauer, Dominique Jennings, Fiona Fennessy, Milan Sonka,[...]. Magn Reson Imaging 2012
7

Texture analysis of medical images.
G Castellano, L Bonilha, L M Li, F Cendes. Clin Radiol 2004
544
7

Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging.
E Sala, E Mema, Y Himoto, H Veeraraghavan, J D Brenton, A Snyder, B Weigelt, H A Vargas. Clin Radiol 2017
161
7

Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy.
Jia Wu, Guohong Cao, Xiaoli Sun, Juheon Lee, Daniel L Rubin, Sandy Napel, Allison W Kurian, Bruce L Daniel, Ruijiang Li. Radiology 2018
60
10

Prognostic Imaging Biomarkers in Glioblastoma: Development and Independent Validation on the Basis of Multiregion and Quantitative Analysis of MR Images.
Yi Cui, Khin Khin Tha, Shunsuke Terasaka, Shigeru Yamaguchi, Jeff Wang, Kohsuke Kudo, Lei Xing, Hiroki Shirato, Ruijiang Li. Radiology 2016
64
9

Characterization of active and infiltrative tumorous subregions from normal tissue in brain gliomas using multiparametric MRI.
Anahita Fathi Kazerooni, Mahnaz Nabil, Mehdi Zeinali Zadeh, Kavous Firouznia, Farid Azmoudeh-Ardalan, Alejandro F Frangi, Christos Davatzikos, Hamidreza Saligheh Rad. J Magn Reson Imaging 2018
26
23

The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.
Kenneth Clark, Bruce Vendt, Kirk Smith, John Freymann, Justin Kirby, Paul Koppel, Stephen Moore, Stanley Phillips, David Maffitt, Michael Pringle,[...]. J Digit Imaging 2013
6

Sub-region based radiomics analysis for survival prediction in oesophageal tumours treated by definitive concurrent chemoradiotherapy.
Congying Xie, Pengfei Yang, Xuebang Zhang, Lei Xu, Xiaoju Wang, Xiadong Li, Luhan Zhang, Ruifei Xie, Ling Yang, Zhao Jing,[...]. EBioMedicine 2019
30
20


Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches.
M Zhou, J Scott, B Chaudhury, L Hall, D Goldgof, K W Yeom, M Iv, Y Ou, J Kalpathy-Cramer, S Napel,[...]. AJNR Am J Neuroradiol 2018
148
6

Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI.
Yu-Cherng Channing Chang, Ellen Ackerstaff, Yohann Tschudi, Bryan Jimenez, Warren Foltz, Carl Fisher, Lothar Lilge, HyungJoon Cho, Sean Carlin, Robert J Gillies,[...]. Sci Rep 2017
34
17

Reproducibility and Prognosis of Quantitative Features Extracted from CT Images.
Yoganand Balagurunathan, Yuhua Gu, Hua Wang, Virendra Kumar, Olya Grove, Sam Hawkins, Jongphil Kim, Dmitry B Goldgof, Lawrence O Hall, Robert A Gatenby,[...]. Transl Oncol 2014
200
6

A collaborative enterprise for multi-stakeholder participation in the advancement of quantitative imaging.
Andrew J Buckler, Linda Bresolin, N Reed Dunnick, Daniel C Sullivan. Radiology 2011
113
6

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
6

Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features.
Olivier Gevaert, Lex A Mitchell, Achal S Achrol, Jiajing Xu, Sebastian Echegaray, Gary K Steinberg, Samuel H Cheshier, Sandy Napel, Greg Zaharchuk, Sylvia K Plevritis. Radiology 2014
193
5

Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques.
Luke Macyszyn, Hamed Akbari, Jared M Pisapia, Xiao Da, Mark Attiah, Vadim Pigrish, Yingtao Bi, Sharmistha Pal, Ramana V Davuluri, Laura Roccograndi,[...]. Neuro Oncol 2016
159
5

Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities.
Haruka Itakura, Achal S Achrol, Lex A Mitchell, Joshua J Loya, Tiffany Liu, Erick M Westbroek, Abdullah H Feroze, Scott Rodriguez, Sebastian Echegaray, Tej D Azad,[...]. Sci Transl Med 2015
163
5

Spatial habitats from multiparametric MR imaging are associated with signaling pathway activities and survival in glioblastoma.
Katherine Dextraze, Abhijoy Saha, Donnie Kim, Shivali Narang, Michael Lehrer, Anita Rao, Saphal Narang, Dinesh Rao, Salmaan Ahmed, Venkatesh Madhugiri,[...]. Oncotarget 2017
14
35

Identification of noninvasive imaging surrogates for brain tumor gene-expression modules.
Maximilian Diehn, Christine Nardini, David S Wang, Susan McGovern, Mahesh Jayaraman, Yu Liang, Kenneth Aldape, Soonmee Cha, Michael D Kuo. Proc Natl Acad Sci U S A 2008
312
5

Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models.
Philipp Kickingereder, Sina Burth, Antje Wick, Michael Götz, Oliver Eidel, Heinz-Peter Schlemmer, Klaus H Maier-Hein, Wolfgang Wick, Martin Bendszus, Alexander Radbruch,[...]. Radiology 2016
226
5

A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme.
Jiangwei Lao, Yinsheng Chen, Zhi-Cheng Li, Qihua Li, Ji Zhang, Jing Liu, Guangtao Zhai. Sci Rep 2017
238
5

Heterogeneity in intratumoral regions with rapid gadolinium washout correlates with estrogen receptor status and nodal metastasis.
Baishali Chaudhury, Mu Zhou, Dmitry B Goldgof, Lawrence O Hall, Robert A Gatenby, Robert J Gillies, Bhavika K Patel, Robert J Weinfurtner, Jennifer S Drukteinis. J Magn Reson Imaging 2015
36
13

Hallmarks of cancer: the next generation.
Douglas Hanahan, Robert A Weinberg. Cell 2011
5

Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: preliminary results.
Mu Zhou, Lawrence Hall, Dmitry Goldgof, Robin Russo, Yoganand Balagurunathan, Robert Gillies, Robert Gatenby. Transl Oncol 2014
58
8

Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics.
Andrea Sottoriva, Inmaculada Spiteri, Sara G M Piccirillo, Anestis Touloumis, V Peter Collins, John C Marioni, Christina Curtis, Colin Watts, Simon Tavaré. Proc Natl Acad Sci U S A 2013
5

Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma.
Roger Stupp, Warren P Mason, Martin J van den Bent, Michael Weller, Barbara Fisher, Martin J B Taphoorn, Karl Belanger, Alba A Brandes, Christine Marosi, Ulrich Bogdahn,[...]. N Engl J Med 2005
5

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
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.