A citation-based method for searching scientific literature

Francesco Ciompi, Kaman Chung, Sarah J van Riel, Arnaud Arindra Adiyoso Setio, Paul K Gerke, Colin Jacobs, Ernst Th Scholten, Cornelia Schaefer-Prokop, Mathilde M W Wille, Alfonso Marchianò, Ugo Pastorino, Mathias Prokop, Bram van Ginneken. Sci Rep 2017
Times Cited: 138







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



Times Cited
  Times     Co-cited
Similarity


Reduced lung-cancer mortality with low-dose computed tomographic screening.
Denise R Aberle, Amanda M Adams, Christine D Berg, William C Black, Jonathan D Clapp, Richard M Fagerstrom, Ilana F Gareen, Constantine Gatsonis, Pamela M Marcus, JoRean D Sicks. N Engl J Med 2011
43

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
486
33

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
30

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
507
23

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
22

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.
Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Geert Litjens, Paul Gerke, Colin Jacobs, Sarah J van Riel, Mathilde Marie Winkler Wille, Matiullah Naqibullah, Clara I Sanchez, Bram van Ginneken. IEEE Trans Med Imaging 2016
326
19

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
210
19

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
17


Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial.
Harry J de Koning, Carlijn M van der Aalst, Pim A de Jong, Ernst T Scholten, Kristiaan Nackaerts, Marjolein A Heuvelmans, Jan-Willem J Lammers, Carla Weenink, Uraujh Yousaf-Khan, Nanda Horeweg,[...]. N Engl J Med 2020
846
16

European position statement on lung cancer screening.
Matthijs Oudkerk, Anand Devaraj, Rozemarijn Vliegenthart, Thomas Henzler, Helmut Prosch, Claus P Heussel, Gorka Bastarrika, Nicola Sverzellati, Mario Mascalchi, Stefan Delorme,[...]. Lancet Oncol 2017
290
15

Computer-aided classification of lung nodules on computed tomography images via deep learning technique.
Kai-Lung Hua, Che-Hao Hsu, Shintami Chusnul Hidayati, Wen-Huang Cheng, Yu-Jen Chen. Onco Targets Ther 2015
136
15

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
15

Probability of cancer in pulmonary nodules detected on first screening CT.
Annette McWilliams, Martin C Tammemagi, John R Mayo, Heidi Roberts, Geoffrey Liu, Kam Soghrati, Kazuhiro Yasufuku, Simon Martel, Francis Laberge, Michel Gingras,[...]. N Engl J Med 2013
664
15

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
14

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation.
Shuo Wang, Mu Zhou, Zaiyi Liu, Zhenyu Liu, Dongsheng Gu, Yali Zang, Di Dong, Olivier Gevaert, Jie Tian. Med Image Anal 2017
128
14

Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.
Ju Gang Nam, Sunggyun Park, Eui Jin Hwang, Jong Hyuk Lee, Kwang-Nam Jin, Kun Young Lim, Thienkai Huy Vu, Jae Ho Sohn, Sangheum Hwang, Jin Mo Goo,[...]. Radiology 2019
182
14

Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.
Ahmed Hosny, Chintan Parmar, Thibaud P Coroller, Patrick Grossmann, Roman Zeleznik, Avnish Kumar, Johan Bussink, Robert J Gillies, Raymond H Mak, Hugo J W L Aerts. PLoS Med 2018
198
14

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.
Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Pheng-Ann Heng. IEEE Trans Biomed Eng 2017
145
13

Predicting Malignant Nodules from Screening CT Scans.
Samuel Hawkins, Hua Wang, Ying Liu, Alberto Garcia, Olya Stringfield, Henry Krewer, Qian Li, Dmitry Cherezov, Robert A Gatenby, Yoganand Balagurunathan,[...]. J Thorac Oncol 2016
142
12

Highly accurate model for prediction of lung nodule malignancy with CT scans.
Jason L Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake A Qualls, David G Politte, Fred Prior, Shuzhong Zhang, Xiuzhen Huang. Sci Rep 2018
64
18

Pulmonary nodule classification with deep residual networks.
Aiden Nibali, Zhen He, Dennis Wollersheim. Int J Comput Assist Radiol Surg 2017
82
13

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
851
11

Low-Dose CT Screening for Lung Cancer: Computer-aided Detection of Missed Lung Cancers.
Mingzhu Liang, Wei Tang, Dong Ming Xu, Artit C Jirapatnakul, Anthony P Reeves, Claudia I Henschke, David Yankelevitz. Radiology 2016
66
15

Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017.
Heber MacMahon, David P Naidich, Jin Mo Goo, Kyung Soo Lee, Ann N C Leung, John R Mayo, Atul C Mehta, Yoshiharu Ohno, Charles A Powell, Mathias Prokop,[...]. Radiology 2017
952
10

External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.
David R Baldwin, Jennifer Gustafson, Lyndsey Pickup, Carlos Arteta, Petr Novotny, Jerome Declerck, Timor Kadir, Catarina Figueiras, Albert Sterba, Alan Exell,[...]. Thorax 2020
61
16

Lung cancer mortality reduction by LDCT screening-Results from the randomized German LUSI trial.
Nikolaus Becker, Erna Motsch, Anke Trotter, Claus P Heussel, Hendrik Dienemann, Philipp A Schnabel, Hans-Ulrich Kauczor, Sandra González Maldonado, Anthony B Miller, Rudolf Kaaks,[...]. Int J Cancer 2020
129
10

Detection of lung cancer through low-dose CT screening (NELSON): a prespecified analysis of screening test performance and interval cancers.
Nanda Horeweg, Ernst Th Scholten, Pim A de Jong, Carlijn M van der Aalst, Carla Weenink, Jan-Willem J Lammers, Kristiaan Nackaerts, Rozemarijn Vliegenthart, Kevin ten Haaf, Uraujh A Yousaf-Khan,[...]. Lancet Oncol 2014
208
9

Radiomics: Images Are More than Pictures, They Are Data.
Robert J Gillies, Paul E Kinahan, Hedvig Hricak. Radiology 2016
9

Cancer statistics, 2018.
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal. CA Cancer J Clin 2018
9

Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening.
Nanda Horeweg, Joost van Rosmalen, Marjolein A Heuvelmans, Carlijn M van der Aalst, Rozemarijn Vliegenthart, Ernst Th Scholten, Kevin ten Haaf, Kristiaan Nackaerts, Jan-Willem J Lammers, Carla Weenink,[...]. Lancet Oncol 2014
297
9

Are two-dimensional CT measurements of small noncalcified pulmonary nodules reliable?
Marie-Pierre Revel, Alvine Bissery, Marie Bienvenu, Laetitia Aycard, Catherine Lefort, Guy Frija. Radiology 2004
252
9

Final screening round of the NELSON lung cancer screening trial: the effect of a 2.5-year screening interval.
Uraujh Yousaf-Khan, Carlijn van der Aalst, Pim A de Jong, Marjolein Heuvelmans, Ernst Scholten, Jan-Willem Lammers, Peter van Ooijen, Kristiaan Nackaerts, Carla Weenink, Harry Groen,[...]. Thorax 2017
154
8

Management of lung nodules detected by volume CT scanning.
Rob J van Klaveren, Matthijs Oudkerk, Mathias Prokop, Ernst T Scholten, Kristiaan Nackaerts, Rene Vernhout, Carola A van Iersel, Karien A M van den Bergh, Susan van 't Westeinde, Carlijn van der Aalst,[...]. N Engl J Med 2009
581
8


Performance of Lung-RADS in the National Lung Screening Trial: a retrospective assessment.
Paul F Pinsky, David S Gierada, William Black, Reginald Munden, Hrudaya Nath, Denise Aberle, Ella Kazerooni. Ann Intern Med 2015
275
8

3D multi-view convolutional neural networks for lung nodule classification.
Guixia Kang, Kui Liu, Beibei Hou, Ningbo Zhang. PLoS One 2017
46
17

Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.
Germán González, Samuel Y Ash, Gonzalo Vegas-Sánchez-Ferrero, Jorge Onieva Onieva, Farbod N Rahaghi, James C Ross, Alejandro Díaz, Raúl San José Estépar, George R Washko. Am J Respir Crit Care Med 2018
103
8

Artificial intelligence in radiology.
Ahmed Hosny, Chintan Parmar, John Quackenbush, Lawrence H Schwartz, Hugo J W L Aerts. Nat Rev Cancer 2018
724
8

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
8

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.
Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song. IEEE Trans Neural Netw Learn Syst 2019
87
9

Corrigendum: Towards automatic pulmonary nodule management in lung cancer screening with deep learning.
F Ciompi, K Chung, S J van Riel, A A A Setio, P K Gerke, C Jacobs, E T Scholten, C Schaefer-Prokop, M M W Wille, A Marchianò,[...]. Sci Rep 2017
13
61


Cancer statistics, 2019.
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal. CA Cancer J Clin 2019
8

A fast learning algorithm for deep belief nets.
Geoffrey E Hinton, Simon Osindero, Yee-Whye Teh. Neural Comput 2006
7

Long-Term Follow-up Results of the DANTE Trial, a Randomized Study of Lung Cancer Screening with Spiral Computed Tomography.
Maurizio Infante, Silvio Cavuto, Fabio Romano Lutman, Eliseo Passera, Maurizio Chiarenza, Giuseppe Chiesa, Giorgio Brambilla, Enzo Angeli, Giuseppe Aranzulla, Arturo Chiti,[...]. Am J Respir Crit Care Med 2015
214
7

Overdiagnosis in low-dose computed tomography screening for lung cancer.
Edward F Patz, Paul Pinsky, Constantine Gatsonis, Jorean D Sicks, Barnett S Kramer, Martin C Tammemägi, Caroline Chiles, William C Black, Denise R Aberle. JAMA Intern Med 2014
482
7

Mortality, survival and incidence rates in the ITALUNG randomised lung cancer screening trial.
Eugenio Paci, Donella Puliti, Andrea Lopes Pegna, Laura Carrozzi, Giulia Picozzi, Fabio Falaschi, Francesco Pistelli, Ferruccio Aquilini, Cristina Ocello, Marco Zappa,[...]. Thorax 2017
132
7

A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification.
K Murphy, B van Ginneken, A M R Schilham, B J de Hoop, H A Gietema, M Prokop. Med Image Anal 2009
104
7

An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network.
Hongyang Jiang, He Ma, Wei Qian, Mengdi Gao, Yan Li, Hongyang Jiang, He Ma, Wei Qian, Mengdi Gao, Yan Li. IEEE J Biomed Health Inform 2018
54
12


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.