A citation-based method for searching scientific literature

Peng Lin, Yu-Ting Peng, Rui-Zhi Gao, Yan Wei, Xiao-Jiao Li, Su-Ning Huang, Ye-Ying Fang, Zhu-Xin Wei, Zhi-Guang Huang, Hong Yang, Gang Chen. J Cancer Res Clin Oncol 2020
Times Cited: 6







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



Times Cited
  Times     Co-cited
Similarity


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
479
50

In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature.
Hamed Akbari, Spyridon Bakas, Jared M Pisapia, MacLean P Nasrallah, Martin Rozycki, Maria Martinez-Lage, Jennifer J D Morrissette, Nadia Dahmane, Donald M O'Rourke, Christos Davatzikos. Neuro Oncol 2018
50
50

A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study.
Roger Sun, Elaine Johanna Limkin, Maria Vakalopoulou, Laurent Dercle, Stéphane Champiat, Shan Rong Han, Loïc Verlingue, David Brandao, Andrea Lancia, Samy Ammari,[...]. Lancet Oncol 2018
362
33


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
33

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
147
33

Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review.
Anahita Fathi Kazerooni, Spyridon Bakas, Hamidreza Saligheh Rad, Christos Davatzikos. J Magn Reson Imaging 2020
20
33

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
800
33

MGMT gene silencing and benefit from temozolomide in glioblastoma.
Monika E Hegi, Annie-Claire Diserens, Thierry Gorlia, Marie-France Hamou, Nicolas de Tribolet, Michael Weller, Johan M Kros, Johannes A Hainfellner, Warren Mason, Luigi Mariani,[...]. N Engl J Med 2005
33

Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics.
Yoon Seong Choi, Sohi Bae, Jong Hee Chang, Seok-Gu Kang, Se Hoon Kim, Jinna Kim, Tyler Hyungtaek Rim, Seung Hong Choi, Rajan Jain, Seung-Koo Lee. Neuro Oncol 2021
12
33


Distinct Radiomic Phenotypes Define Glioblastoma TP53-PTEN-EGFR Mutational Landscape.
Pascal O Zinn, Sanjay K Singh, Aikaterini Kotrotsou, Srishti Abrol, Ginu Thomas, Jennifer Mosley, Ahmed Elakkad, Islam Hassan, Ashok Kumar, Rivka R Colen. Neurosurgery 2017
14
33

Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab.
Patrick Grossmann, Vivek Narayan, Ken Chang, Rifaquat Rahman, Lauren Abrey, David A Reardon, Lawrence H Schwartz, Patrick Y Wen, Brian M Alexander, Raymond Huang,[...]. Neuro Oncol 2017
58
33

Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma.
Yi-Bin Xi, Fan Guo, Zi-Liang Xu, Chen Li, Wei Wei, Ping Tian, Ting-Ting Liu, Lin Liu, Gang Chen, Jing Ye,[...]. J Magn Reson Imaging 2018
65
33

Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas.
P Chang, J Grinband, B D Weinberg, M Bardis, M Khy, G Cadena, M-Y Su, S Cha, C G Filippi, D Bota,[...]. AJNR Am J Neuroradiol 2018
139
33

Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development.
Zev A Binder, Amy Haseley Thorne, Spyridon Bakas, E Paul Wileyto, Michel Bilello, Hamed Akbari, Saima Rathore, Sung Min Ha, Logan Zhang, Cole J Ferguson,[...]. Cancer Cell 2018
68
33

The somatic genomic landscape of glioblastoma.
Cameron W Brennan, Roel G W Verhaak, Aaron McKenna, Benito Campos, Houtan Noushmehr, Sofie R Salama, Siyuan Zheng, Debyani Chakravarty, J Zachary Sanborn, Samuel H Berman,[...]. Cell 2013
33

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
33

Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
Leland S Hu, Shuluo Ning, Jennifer M Eschbacher, Leslie C Baxter, Nathan Gaw, Sara Ranjbar, Jonathan Plasencia, Amylou C Dueck, Sen Peng, Kris A Smith,[...]. Neuro Oncol 2017
99
33

Radiomics and MGMT promoter methylation for prognostication of newly diagnosed glioblastoma.
Takahiro Sasaki, Manabu Kinoshita, Koji Fujita, Junya Fukai, Nobuhide Hayashi, Yuji Uematsu, Yoshiko Okita, Masahiro Nonaka, Shusuke Moriuchi, Takehiro Uda,[...]. Sci Rep 2019
19
33

Prediction of Core Signaling Pathway by Using Diffusion- and Perfusion-based MRI Radiomics and Next-generation Sequencing in Isocitrate Dehydrogenase Wild-type Glioblastoma.
Ji Eun Park, Ho Sung Kim, Seo Young Park, Soo Jung Nam, Sung-Min Chun, Youngheun Jo, Jeong Hoon Kim. Radiology 2020
14
33

Radiomics in neuro-oncology: Basics, workflow, and applications.
Philipp Lohmann, Norbert Galldiks, Martin Kocher, Alexander Heinzel, Christian P Filss, Carina Stegmayr, Felix M Mottaghy, Gereon R Fink, N Jon Shah, Karl-Josef Langen. Methods 2021
25
33

MGMT promoter methylation status testing to guide therapy for glioblastoma: refining the approach based on emerging evidence and current challenges.
Alireza Mansouri, Laureen D Hachem, Sheila Mansouri, Farshad Nassiri, Normand J Laperriere, Daniel Xia, Neal I Lindeman, Patrick Y Wen, Arnab Chakravarti, Minesh P Mehta,[...]. Neuro Oncol 2019
68
33

A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models.
Pascal O Zinn, Sanjay K Singh, Aikaterini Kotrotsou, Islam Hassan, Ginu Thomas, Markus M Luedi, Ahmed Elakkad, Nabil Elshafeey, Tagwa Idris, Jennifer Mosley,[...]. Clin Cancer Res 2018
46
33

Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma.
Niha Beig, Kaustav Bera, Prateek Prasanna, Jacob Antunes, Ramon Correa, Salendra Singh, Anas Saeed Bamashmos, Marwa Ismail, Nathaniel Braman, Ruchika Verma,[...]. Clin Cancer Res 2020
26
33

A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas.
Chandan Ganesh Bangalore Yogananda, Bhavya R Shah, Maryam Vejdani-Jahromi, Sahil S Nalawade, Gowtham K Murugesan, Frank F Yu, Marco C Pinho, Benjamin C Wagner, Bruce Mickey, Toral R Patel,[...]. Neuro Oncol 2020
31
33

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.
Biqi Zhang, Ken Chang, Shakti Ramkissoon, Shyam Tanguturi, Wenya Linda Bi, David A Reardon, Keith L Ligon, Brian M Alexander, Patrick Y Wen, Raymond Y Huang. Neuro Oncol 2017
122
33

Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1.
Saima Rathore, Hamed Akbari, Martin Rozycki, Kalil G Abdullah, MacLean P Nasrallah, Zev A Binder, Ramana V Davuluri, Robert A Lustig, Nadia Dahmane, Michel Bilello,[...]. Sci Rep 2018
60
33

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
116
33

Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma.
Nabil Elshafeey, Aikaterini Kotrotsou, Ahmed Hassan, Nancy Elshafei, Islam Hassan, Sara Ahmed, Srishti Abrol, Anand Agarwal, Kamel El Salek, Samuel Bergamaschi,[...]. Nat Commun 2019
47
33

MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set.
David A Gutman, Lee A D Cooper, Scott N Hwang, Chad A Holder, Jingjing Gao, Tarun D Aurora, William D Dunn, Lisa Scarpace, Tom Mikkelsen, Rajan Jain,[...]. Radiology 2013
255
33

Radiogenomics of Glioblastoma: Machine Learning-based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features.
Philipp Kickingereder, David Bonekamp, Martha Nowosielski, Annekathrin Kratz, Martin Sill, Sina Burth, Antje Wick, Oliver Eidel, Heinz-Peter Schlemmer, Alexander Radbruch,[...]. Radiology 2016
141
33

Radiogenomic mapping of edema/cellular invasion MRI-phenotypes in glioblastoma multiforme.
Pascal O Zinn, Bhanu Mahajan, Pratheesh Sathyan, Sanjay K Singh, Sadhan Majumder, Ferenc A Jolesz, Rivka R Colen. PLoS One 2011
185
33


Subsequent experience in hybrid PET-MRI for evaluation of refractory focal onset epilepsy.
Jorge Daniel Oldan, Hae Won Shin, Amir Hossein Khandani, Carlos Zamora, Thad Benefield, Valerie Jewells. Seizure 2018
17
16

Glioblastoma: Overview of Disease and Treatment.
Mary Elizabeth Davis. Clin J Oncol Nurs 2016
364
16

A systematic review on the applications of resting-state fMRI in Parkinson's disease: Does dopamine replacement therapy play a role?
Masoud Tahmasian, Lisa M Bettray, Thilo van Eimeren, Alexander Drzezga, Lars Timmermann, Claudia R Eickhoff, Simon B Eickhoff, Carsten Eggers. Cortex 2015
105
16

Utility of Absolute Quantification in Non-lesional Extratemporal Lobe Epilepsy Using FDG PET/MR Imaging.
Tatjana Traub-Weidinger, Otto Muzik, Lalith Kumar Shiyam Sundar, Susanne Aull-Watschinger, Thomas Beyer, Marcus Hacker, Andreas Hahn, Gregor Kasprian, Eva-Maria Klebermass, Rupert Lanzenberger,[...]. Front Neurol 2020
9
16

18F-Fluciclovine (18F-FACBC) PET/CT or PET/MRI in gliomas/glioblastomas.
Domenico Albano, Davide Tomasini, Marco Bonù, Raffaele Giubbini, Francesco Bertagna. Ann Nucl Med 2020
6
16

The role of high-field magnetic resonance imaging in parkinsonian disorders: Pushing the boundaries forward.
Stéphane Lehericy, David E Vaillancourt, Klaus Seppi, Oury Monchi, Irena Rektorova, Angelo Antonini, Martin J McKeown, Mario Masellis, Daniela Berg, James B Rowe,[...]. Mov Disord 2017
59
16

Subcortical 18 F-AV-1451 binding patterns in progressive supranuclear palsy.
Hanna Cho, Jae Yong Choi, Mi Song Hwang, Seung Ha Lee, Young Hoon Ryu, Myung Sik Lee, Chul Hyoung Lyoo. Mov Disord 2017
79
16

PET/MRI in Infection and Inflammation.
Martina Sollini, Raffaella Berchiolli, Margarita Kirienko, Alexia Rossi, A W J M Glaudemans, Riemer Slart, Paola Anna Erba. Semin Nucl Med 2018
18
16

Simultaneous 18F- FDG PET/MRI in Autoimmune Limbic Encephalitis.
Sangeeta Taneja, Vinit Suri, Aashim Ahuja, Amarnath Jena. Indian J Nucl Med 2018
3
33

Towards quantitative [18F]FDG-PET/MRI of the brain: Automated MR-driven calculation of an image-derived input function for the non-invasive determination of cerebral glucose metabolic rates.
Lalith Ks Sundar, Otto Muzik, Lucas Rischka, Andreas Hahn, Ivo Rausch, Rupert Lanzenberger, Marius Hienert, Eva-Maria Klebermass, Frank-Günther Füchsel, Marcus Hacker,[...]. J Cereb Blood Flow Metab 2019
14
16

Combined PET/MRI in brain glioma imaging.
Karar O Almansory, Francesco Fraioli. Br J Hosp Med (Lond) 2019
3
33

Non-invasive tumor decoding and phenotyping of cerebral gliomas utilizing multiparametric 18F-FET PET-MRI and MR Fingerprinting.
Johannes Haubold, Aydin Demircioglu, Marcel Gratz, Martin Glas, Karsten Wrede, Ulrich Sure, Gerald Antoch, Kathy Keyvani, Mathias Nittka, Stephan Kannengiesser,[...]. Eur J Nucl Med Mol Imaging 2020
32
16

Differentiation of treatment-related changes from tumour progression: a direct comparison between dynamic FET PET and ADC values obtained from DWI MRI.
Jan-Michael Werner, Gabriele Stoffels, Thorsten Lichtenstein, Jan Borggrefe, Philipp Lohmann, Garry Ceccon, Nadim J Shah, Gereon R Fink, Karl-Josef Langen, Christoph Kabbasch,[...]. Eur J Nucl Med Mol Imaging 2019
20
16

Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume.
Yoon Seong Choi, Sung Soo Ahn, Seung-Koo Lee, Jong Hee Chang, Seok-Gu Kang, Se Hoon Kim, Jinyuan Zhou. Eur Radiol 2017
50
16

Relationship between simultaneously acquired resting-state regional cerebral glucose metabolism and functional MRI: a PET/MR hybrid scanner study.
Marco Aiello, Elena Salvatore, Arnaud Cachia, Sabina Pappatà, Carlo Cavaliere, Anna Prinster, Emanuele Nicolai, Marco Salvatore, Jean-Claude Baron, Mario Quarantelli. Neuroimage 2015
98
16

All-in-one interictal presurgical imaging in patients with epilepsy: single-session EEG/PET/(f)MRI.
Frédéric Grouiller, Bénédicte M A Delattre, Francesca Pittau, Susanne Heinzer, François Lazeyras, Laurent Spinelli, Giannina R Iannotti, Margitta Seeck, Osman Ratib, Maria I Vargas,[...]. Eur J Nucl Med Mol Imaging 2015
15
16


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.