A citation-based method for searching scientific literature

Kenneth Clark, Bruce Vendt, Kirk Smith, John Freymann, Justin Kirby, Paul Koppel, Stephen Moore, Stanley Phillips, David Maffitt, Michael Pringle, Lawrence Tarbox, Fred Prior. J Digit Imaging 2013
Times Cited: 1194







List of co-cited articles
343 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
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
11

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
10

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
10

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest,[...]. IEEE Trans Med Imaging 2015
993
9

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.
Samuel G Armato, Geoffrey McLennan, Luc Bidaut, Michael F McNitt-Gray, Charles R Meyer, Anthony P Reeves, Binsheng Zhao, Denise R Aberle, Claudia I Henschke, Eric A Hoffman,[...]. Med Phys 2011
574
8

A survey on deep learning in medical image analysis.
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A W M van der Laak, Bram van Ginneken, Clara I Sánchez. Med Image Anal 2017
8

Artificial intelligence in cancer imaging: Clinical challenges and applications.
Wenya Linda Bi, Ahmed Hosny, Matthew B Schabath, Maryellen L Giger, Nicolai J Birkbak, Alireza Mehrtash, Tavis Allison, Omar Arnaout, Christopher Abbosh, Ian F Dunn,[...]. CA Cancer J Clin 2019
481
7

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
7

Dermatologist-level classification of skin cancer with deep neural networks.
Andre Esteva, Brett Kuprel, Roberto A Novoa, Justin Ko, Susan M Swetter, Helen M Blau, Sebastian Thrun. Nature 2017
6

International evaluation of an AI system for breast cancer screening.
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, Jonathan Godwin, Natasha Antropova, Hutan Ashrafian, Trevor Back, Mary Chesus, Greg S Corrado, Ara Darzi,[...]. Nature 2020
598
6

The FAIR Guiding Principles for scientific data management and stewardship.
Mark D Wilkinson, Michel Dumontier, I Jsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E Bourne,[...]. Sci Data 2016
6

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation.
Fabian Isensee, Paul F Jaeger, Simon A A Kohl, Jens Petersen, Klaus H Maier-Hein. Nat Methods 2021
499
6

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

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
Babak Ehteshami Bejnordi, Mitko Veta, Paul Johannes van Diest, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen A W M van der Laak, Meyke Hermsen, Quirine F Manson, Maschenka Balkenhol,[...]. JAMA 2017
964
5

QuPath: Open source software for digital pathology image analysis.
Peter Bankhead, Maurice B Loughrey, José A Fernández, Yvonne Dombrowski, Darragh G McArt, Philip D Dunne, Stephen McQuaid, Ronan T Gray, Liam J Murray, Helen G Coleman,[...]. Sci Rep 2017
5

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
318
5

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
5


Machine Learning methods for Quantitative Radiomic Biomarkers.
Chintan Parmar, Patrick Grossmann, Johan Bussink, Philippe Lambin, Hugo J W L Aerts. Sci Rep 2015
516
5

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
5

Image quality assessment: from error visibility to structural similarity.
Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh, Eero P Simoncelli. IEEE Trans Image Process 2004
5

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S N Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts,[...]. Med Image Anal 2017
249
4

The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.
Katarzyna Tomczak, Patrycja Czerwińska, Maciej Wiznerowicz. Contemp Oncol (Pozn) 2015
4

User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability.
Paul A Yushkevich, Joseph Piven, Heather Cody Hazlett, Rachel Gimpel Smith, Sean Ho, James C Gee, Guido Gerig. Neuroimage 2006
4

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
Hoo-Chang Shin, Holger R Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel Mollura, Ronald M Summers. IEEE Trans Med Imaging 2016
4

A deep learning approach for the analysis of masses in mammograms with minimal user intervention.
Neeraj Dhungel, Gustavo Carneiro, Andrew P Bradley. Med Image Anal 2017
89
4

Why rankings of biomedical image analysis competitions should be interpreted with care.
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P Bradley, Aaron Carass,[...]. Nat Commun 2018
105
4

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017.
Jinzhong Yang, Harini Veeraraghavan, Samuel G Armato, Keyvan Farahani, Justin S Kirby, Jayashree Kalpathy-Kramer, Wouter van Elmpt, Andre Dekker, Xiao Han, Xue Feng,[...]. Med Phys 2018
91
4

A radiogenomic dataset of non-small cell lung cancer.
Shaimaa Bakr, Olivier Gevaert, Sebastian Echegaray, Kelsey Ayers, Mu Zhou, Majid Shafiq, Hong Zheng, Jalen Anthony Benson, Weiruo Zhang, Ann N C Leung,[...]. Sci Data 2018
76
5

Deep Learning in Medical Imaging: General Overview.
June-Goo Lee, Sanghoon Jun, Young-Won Cho, Hyunna Lee, Guk Bae Kim, Joon Beom Seo, Namkug Kim. Korean J Radiol 2017
352
4

Repeatability and Reproducibility of Radiomic Features: A Systematic Review.
Alberto Traverso, Leonard Wee, Andre Dekker, Robert Gillies. Int J Radiat Oncol Biol Phys 2018
370
4

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features.
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin S Kirby, John B Freymann, Keyvan Farahani, Christos Davatzikos. Sci Data 2017
399
4

N4ITK: improved N3 bias correction.
Nicholas J Tustison, Brian B Avants, Philip A Cook, Yuanjie Zheng, Alexander Egan, Paul A Yushkevich, James C Gee. IEEE Trans Med Imaging 2010
4

Management of glioblastoma: State of the art and future directions.
Aaron C Tan, David M Ashley, Giselle Y López, Michael Malinzak, Henry S Friedman, Mustafa Khasraw. CA Cancer J Clin 2020
469
4

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
4

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
4

Computed tomography--an increasing source of radiation exposure.
David J Brenner, Eric J Hall. N Engl J Med 2007
4

Deep learning in head & neck cancer outcome prediction.
André Diamant, Avishek Chatterjee, Martin Vallières, George Shenouda, Jan Seuntjens. Sci Rep 2019
69
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
4

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Varun Gulshan, Lily Peng, Marc Coram, Martin C Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros,[...]. JAMA 2016
3

Artificial intelligence in radiology.
Ahmed Hosny, Chintan Parmar, John Quackenbush, Lawrence H Schwartz, Hugo J W L Aerts. Nat Rev Cancer 2018
869
3

Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent.
Angel Cruz-Roa, Hannah Gilmore, Ajay Basavanhally, Michael Feldman, Shridar Ganesan, Natalie N C Shih, John Tomaszewski, Fabio A González, Anant Madabhushi. Sci Rep 2017
170
3


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
99
3

Annotated high-throughput microscopy image sets for validation.
Vebjorn Ljosa, Katherine L Sokolnicki, Anne E Carpenter. Nat Methods 2012
151
3

Proteomics. Tissue-based map of the human proteome.
Mathias Uhlén, Linn Fagerberg, Björn M Hallström, Cecilia Lindskog, Per Oksvold, Adil Mardinoglu, Åsa Sivertsson, Caroline Kampf, Evelina Sjöstedt, Anna Asplund,[...]. Science 2015
3

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.
Daniel S Kermany, Michael Goldbaum, Wenjia Cai, Carolina C S Valentim, Huiying Liang, Sally L Baxter, Alex McKeown, Ge Yang, Xiaokang Wu, Fangbing Yan,[...]. Cell 2018
3

Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.
Nicolas Coudray, Paolo Santiago Ocampo, Theodore Sakellaropoulos, Navneet Narula, Matija Snuderl, David Fenyö, Andre L Moreira, Narges Razavian, Aristotelis Tsirigos. Nat Med 2018
864
3

Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers.
S Trebeschi, S G Drago, N J Birkbak, I Kurilova, A M Cǎlin, A Delli Pizzi, F Lalezari, D M J Lambregts, M W Rohaan, C Parmar,[...]. Ann Oncol 2019
222
3


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.