A citation-based method for searching scientific literature

Stephen S F Yip, Hugo J W L Aerts. Phys Med Biol 2016
Times Cited: 524

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

Times Cited
  Times     Co-cited

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity.
Christophe Nioche, Fanny Orlhac, Sarah Boughdad, Sylvain Reuzé, Jessica Goya-Outi, Charlotte Robert, Claire Pellot-Barakat, Michael Soussan, Frédérique Frouin, Irène Buvat. Cancer Res 2018

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

Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processing.
Alberto Traverso, Michal Kazmierski, Zhenwei Shi, Petros Kalendralis, Mattea Welch, Henrik Dahl Nissen, David Jaffray, Andre Dekker, Leonard Wee. Phys Med 2019

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

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

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

Reproducibility of radiomics for deciphering tumor phenotype with imaging.
Binsheng Zhao, Yongqiang Tan, Wei-Yann Tsai, Jing Qi, Chuanmiao Xie, Lin Lu, Lawrence H Schwartz. Sci Rep 2016

Harmonization strategies for multicenter radiomics investigations.
R Da-Ano, D Visvikis, M Hatt. Phys Med Biol 2020

Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies.
R Da-Ano, I Masson, F Lucia, M Doré, P Robin, J Alfieri, C Rousseau, A Mervoyer, C Reinhold, J Castelli,[...]. Sci Rep 2020

The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis.
Ralph T H Leijenaar, Georgi Nalbantov, Sara Carvalho, Wouter J C van Elmpt, Esther G C Troost, Ronald Boellaard, Hugo J W L Aerts, Robert J Gillies, Philippe Lambin. Sci Rep 2015

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

Voxel size and gray level normalization of CT radiomic features in lung cancer.
Muhammad Shafiq-Ul-Hassan, Kujtim Latifi, Geoffrey Zhang, Ghanim Ullah, Robert Gillies, Eduardo Moros. Sci Rep 2018

Radiomics and radiogenomics in lung cancer: A review for the clinician.
Rajat Thawani, Michael McLane, Niha Beig, Soumya Ghose, Prateek Prasanna, Vamsidhar Velcheti, Anant Madabhushi. Lung Cancer 2018

Impact of Image Reconstruction Settings on Texture Features in 18F-FDG PET.
Jianhua Yan, Jason Lim Chu-Shern, Hoi Yin Loi, Lih Kin Khor, Arvind K Sinha, Swee Tian Quek, Ivan W K Tham, David Townsend. J Nucl Med 2015

Assessing robustness of radiomic features by image perturbation.
Alex Zwanenburg, Stefan Leger, Linda Agolli, Karoline Pilz, Esther G C Troost, Christian Richter, Steffen Löck. Sci Rep 2019

IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics.
Lifei Zhang, David V Fried, Xenia J Fave, Luke A Hunter, Jinzhong Yang, Laurence E Court. Med Phys 2015

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

Gray-level discretization impacts reproducible MRI radiomics texture features.
Loïc Duron, Daniel Balvay, Saskia Vande Perre, Afef Bouchouicha, Julien Savatovsky, Jean-Claude Sadik, Isabelle Thomassin-Naggara, Laure Fournier, Augustin Lecler. PLoS One 2019

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

False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review.
Anastasia Chalkidou, Michael J O'Doherty, Paul K Marsden. PLoS One 2015

Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer.
Florent Tixier, Catherine Cheze Le Rest, Mathieu Hatt, Nidal Albarghach, Olivier Pradier, Jean-Philippe Metges, Laurent Corcos, Dimitris Visvikis. J Nucl Med 2011

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015

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

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

The Biological Meaning of Radiomic Features.
Michal R Tomaszewski, Robert J Gillies. Radiology 2021

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

Deep learning and radiomics in precision medicine.
Vishwa S Parekh, Michael A Jacobs. Expert Rev Precis Med Drug Dev 2019

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.