A citation-based method for searching scientific literature

Ahmed Hosny, Chintan Parmar, John Quackenbush, Lawrence H Schwartz, Hugo J W L Aerts. Nat Rev Cancer 2018
Times Cited: 805







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



Times Cited
  Times     Co-cited
Similarity


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
19

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
17


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
10

Deep Learning in Medical Image Analysis.
Dinggang Shen, Guorong Wu, Heung-Il Suk. Annu Rev Biomed Eng 2017
8

A guide to deep learning in healthcare.
Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, Volodymyr Kuleshov, Mark DePristo, Katherine Chou, Claire Cui, Greg Corrado, Sebastian Thrun, Jeff Dean. Nat Med 2019
637
6

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
6

Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology.
An Tang, Roger Tam, Alexandre Cadrin-Chênevert, Will Guest, Jaron Chong, Joseph Barfett, Leonid Chepelev, Robyn Cairns, J Ross Mitchell, Mark D Cicero,[...]. Can Assoc Radiol J 2018
177
5

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.
Xiaoxuan Liu, Livia Faes, Aditya U Kale, Siegfried K Wagner, Dun Jack Fu, Alice Bruynseels, Thushika Mahendiran, Gabriella Moraes, Mohith Shamdas, Christoph Kern,[...]. Lancet Digit Health 2019
382
5

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success.
James H Thrall, Xiang Li, Quanzheng Li, Cinthia Cruz, Synho Do, Keith Dreyer, James Brink. J Am Coll Radiol 2018
181
5

Radiomics: Images Are More than Pictures, They Are Data.
Robert J Gillies, Paul E Kinahan, Hedvig Hricak. Radiology 2016
5


Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.
Pranav Rajpurkar, Jeremy Irvin, Robyn L Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis P Langlotz,[...]. PLoS Med 2018
358
4

Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
4

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.
Maciej A Mazurowski, Mateusz Buda, Ashirbani Saha, Mustafa R Bashir. J Magn Reson Imaging 2019
127
4

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
555
4

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
917
4

Dissecting racial bias in an algorithm used to manage the health of populations.
Ziad Obermeyer, Brian Powers, Christine Vogeli, Sendhil Mullainathan. Science 2019
704
4

Machine Learning in Medicine.
Rahul C Deo. Circulation 2015
952
4

Machine Learning in Medical Imaging.
Maryellen L Giger. J Am Coll Radiol 2018
171
4

Deep Learning: A Primer for Radiologists.
Gabriel Chartrand, Phillip M Cheng, Eugene Vorontsov, Michal Drozdzal, Simon Turcotte, Christopher J Pal, Samuel Kadoury, An Tang. Radiographics 2017
425
4

Current Applications and Future Impact of Machine Learning in Radiology.
Garry Choy, Omid Khalilzadeh, Mark Michalski, Synho Do, Anthony E Samir, Oleg S Pianykh, J Raymond Geis, Pari V Pandharipande, James A Brink, Keith J Dreyer. Radiology 2018
297
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

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.
Diego Ardila, Atilla P Kiraly, Sujeeth Bharadwaj, Bokyung Choi, Joshua J Reicher, Lily Peng, Daniel Tse, Mozziyar Etemadi, Wenxing Ye, Greg Corrado,[...]. Nat Med 2019
524
4

Artificial Intelligence in Medicine: Where Are We Now?
Sagar Kulkarni, Nuran Seneviratne, Mirza Shaheer Baig, Ameer Hamid Ahmed Khan. Acad Radiol 2020
61
4

Artificial Intelligence in Pathology.
Hye Yoon Chang, Chan Kwon Jung, Junwoo Isaac Woo, Sanghun Lee, Joonyoung Cho, Sun Woo Kim, Tae-Yeong Kwak. J Pathol Transl Med 2019
64
4

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study.
Pu Wang, Tyler M Berzin, Jeremy Romek Glissen Brown, Shishira Bharadwaj, Aymeric Becq, Xun Xiao, Peixi Liu, Liangping Li, Yan Song, Di Zhang,[...]. Gut 2019
308
3

Artificial Intelligence-assisted System Improves Endoscopic Identification of Colorectal Neoplasms.
Shin-Ei Kudo, Masashi Misawa, Yuichi Mori, Kinichi Hotta, Kazuo Ohtsuka, Hiroaki Ikematsu, Yutaka Saito, Kenichi Takeda, Hiroki Nakamura, Katsuro Ichimasa,[...]. Clin Gastroenterol Hepatol 2020
83
3

Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks.
Benjamin H Kann, Sanjay Aneja, Gokoulakrichenane V Loganadane, Jacqueline R Kelly, Stephen M Smith, Roy H Decker, James B Yu, Henry S Park, Wendell G Yarbrough, Ajay Malhotra,[...]. Sci Rep 2018
72
4

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
3

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
443
3


Deep Learning in Radiology.
Morgan P McBee, Omer A Awan, Andrew T Colucci, Comeron W Ghobadi, Nadja Kadom, Akash P Kansagra, Srini Tridandapani, William F Auffermann. Acad Radiol 2018
142
3

Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study.
Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G Campeau, Vasantha Kumar Venugopal, Vidur Mahajan, Pooja Rao, Prashant Warier. Lancet 2018
288
3


Digital pathology and artificial intelligence.
Muhammad Khalid Khan Niazi, Anil V Parwani, Metin N Gurcan. Lancet Oncol 2019
236
3

Artificial intelligence in healthcare.
Kun-Hsing Yu, Andrew L Beam, Isaac S Kohane. Nat Biomed Eng 2018
460
3

Convolutional neural networks: an overview and application in radiology.
Rikiya Yamashita, Mizuho Nishio, Richard Kinh Gian Do, Kaori Togashi. Insights Imaging 2018
464
3

Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images.
Toshiaki Hirasawa, Kazuharu Aoyama, Tetsuya Tanimoto, Soichiro Ishihara, Satoki Shichijo, Tsuyoshi Ozawa, Tatsuya Ohnishi, Mitsuhiro Fujishiro, Keigo Matsuo, Junko Fujisaki,[...]. Gastric Cancer 2018
267
3

Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study.
Bo Gong, James P Nugent, William Guest, William Parker, Paul J Chang, Faisal Khosa, Savvas Nicolaou. Acad Radiol 2019
81
3


Opportunities and obstacles for deep learning in biology and medicine.
Travers Ching, Daniel S Himmelstein, Brett K Beaulieu-Jones, Alexandr A Kalinin, Brian T Do, Gregory P Way, Enrico Ferrero, Paul-Michael Agapow, Michael Zietz, Michael M Hoffman,[...]. J R Soc Interface 2018
586
3


Deep Learning in Medical Image Analysis.
Heang-Ping Chan, Ravi K Samala, Lubomir M Hadjiiski, Chuan Zhou. Adv Exp Med Biol 2020
82
3

Artificial Intelligence in Cardiology.
Kipp W Johnson, Jessica Torres Soto, Benjamin S Glicksberg, Khader Shameer, Riccardo Miotto, Mohsin Ali, Euan Ashley, Joel T Dudley. J Am Coll Cardiol 2018
316
3

Machine Learning in Medicine.
Alvin Rajkomar, Jeffrey Dean, Isaac Kohane. N Engl J Med 2019
777
3


The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload.
Robert J McDonald, Kara M Schwartz, Laurence J Eckel, Felix E Diehn, Christopher H Hunt, Brian J Bartholmai, Bradley J Erickson, David F Kallmes. Acad Radiol 2015
135
3

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Laure Wynants, Ben Van Calster, Gary S Collins, Richard D Riley, Georg Heinze, Ewoud Schuit, Marc M J Bonten, Darren L Dahly, Johanna A A Damen, Thomas P A Debray,[...]. BMJ 2020
3

Machine learning: Trends, perspectives, and prospects.
M I Jordan, T M Mitchell. Science 2015
834
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.