A citation-based method for searching scientific literature

Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
Times Cited: 6751







List of co-cited articles
143 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
10

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
9

Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
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
5

Mastering the game of Go with deep neural networks and tree search.
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot,[...]. Nature 2016
884
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
4

Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
4

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh, Jae Y Shin, Suryakanth R Gurudu, R Todd Hurst, Christopher B Kendall, Michael B Gotway, Jianming Liang. IEEE Trans Med Imaging 2016
437
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
759
4

Representation learning: a review and new perspectives.
Yoshua Bengio, Aaron Courville, Pascal Vincent. IEEE Trans Pattern Anal Mach Intell 2013
820
4

Mastering the game of Go without human knowledge.
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton,[...]. Nature 2017
414
3

Extended-connectivity fingerprints.
David Rogers, Mathew Hahn. J Chem Inf Model 2010
3

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.
Rafael Gómez-Bombarelli, Jennifer N Wei, David Duvenaud, José Miguel Hernández-Lobato, Benjamín Sánchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D Hirzel, Ryan P Adams, Alán Aspuru-Guzik. ACS Cent Sci 2018
442
3

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.
Daniel Shu Wei Ting, Carol Yim-Lui Cheung, Gilbert Lim, Gavin Siew Wei Tan, Nguyen D Quang, Alfred Gan, Haslina Hamzah, Renata Garcia-Franco, Ian Yew San Yeo, Shu Yen Lee,[...]. JAMA 2017
535
3

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
611
3

Deep learning in bioinformatics.
Seonwoo Min, Byunghan Lee, Sungroh Yoon. Brief Bioinform 2017
323
3

SciPy 1.0: fundamental algorithms for scientific computing in Python.
Pauli Virtanen, Ralf Gommers, Travis E Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright,[...]. Nat Methods 2020
3

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR.
Yicheng Fang, Huangqi Zhang, Jicheng Xie, Minjie Lin, Lingjun Ying, Peipei Pang, Wenbin Ji. Radiology 2020
3

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.
Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. IEEE Trans Pattern Anal Mach Intell 2017
884
3

Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics.
Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E. Phys Rev Lett 2018
165
3

Fast and accurate modeling of molecular atomization energies with machine learning.
Matthias Rupp, Alexandre Tkatchenko, Klaus-Robert Müller, O Anatole von Lilienfeld. Phys Rev Lett 2012
513
3


Convolutional neural networks: an overview and application in radiology.
Rikiya Yamashita, Mizuho Nishio, Richard Kinh Gian Do, Kaori Togashi. Insights Imaging 2018
211
3

Predicting cancer outcomes from histology and genomics using convolutional networks.
Pooya Mobadersany, Safoora Yousefi, Mohamed Amgad, David A Gutman, Jill S Barnholtz-Sloan, José E Velázquez Vega, Daniel J Brat, Lee A D Cooper. Proc Natl Acad Sci U S A 2018
200
3

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
377
2

Applications of Deep Learning in Biomedicine.
Polina Mamoshina, Armando Vieira, Evgeny Putin, Alex Zhavoronkov. Mol Pharm 2016
195
2


Statistics versus machine learning.
Danilo Bzdok, Naomi Altman, Martin Krzywinski. Nat Methods 2018
159
2


A fast learning algorithm for deep belief nets.
Geoffrey E Hinton, Simon Osindero, Yee-Whye Teh. Neural Comput 2006
2

Reconciling modern machine-learning practice and the classical bias-variance trade-off.
Mikhail Belkin, Daniel Hsu, Siyuan Ma, Soumik Mandal. Proc Natl Acad Sci U S A 2019
43
4

Scalable and accurate deep learning with electronic health records.
Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M Dai, Nissan Hajaj, Michaela Hardt, Peter J Liu, Xiaobing Liu, Jake Marcus, Mimi Sun,[...]. NPJ Digit Med 2018
467
2

Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia.
Sergey M Plis, Md Faijul Amin, Adam Chekroud, Devon Hjelm, Eswar Damaraju, Hyo Jong Lee, Juan R Bustillo, KyungHyun Cho, Godfrey D Pearlson, Vince D Calhoun. Neuroimage 2018
18
11

Natural language processing: an introduction.
Prakash M Nadkarni, Lucila Ohno-Machado, Wendy W Chapman. J Am Med Inform Assoc 2011
249
2






Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.
Alexandru Korotcov, Valery Tkachenko, Daniel P Russo, Sean Ekins. Mol Pharm 2017
92
2

Is Multitask Deep Learning Practical for Pharma?
Bharath Ramsundar, Bowen Liu, Zhenqin Wu, Andreas Verras, Matthew Tudor, Robert P Sheridan, Vijay Pande. J Chem Inf Model 2017
90
2

Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships.
Yuting Xu, Junshui Ma, Andy Liaw, Robert P Sheridan, Vladimir Svetnik. J Chem Inf Model 2017
73
2

ZINC 15--Ligand Discovery for Everyone.
Teague Sterling, John J Irwin. J Chem Inf Model 2015
811
2

ChEMBL: a large-scale bioactivity database for drug discovery.
Anna Gaulton, Louisa J Bellis, A Patricia Bento, Jon Chambers, Mark Davies, Anne Hersey, Yvonne Light, Shaun McGlinchey, David Michalovich, Bissan Al-Lazikani,[...]. Nucleic Acids Res 2012
2

Generative Recurrent Networks for De Novo Drug Design.
Anvita Gupta, Alex T Müller, Berend J H Huisman, Jens A Fuchs, Petra Schneider, Gisbert Schneider. Mol Inform 2018
109
2

Shape-Based Generative Modeling for de Novo Drug Design.
Miha Skalic, José Jiménez, Davide Sabbadin, Gianni De Fabritiis. J Chem Inf Model 2019
35
5

Reinforced Adversarial Neural Computer for de Novo Molecular Design.
Evgeny Putin, Arip Asadulaev, Yan Ivanenkov, Vladimir Aladinskiy, Benjamin Sanchez-Lengeling, Alán Aspuru-Guzik, Alex Zhavoronkov. J Chem Inf Model 2018
81
2

De Novo Design of Bioactive Small Molecules by Artificial Intelligence.
Daniel Merk, Lukas Friedrich, Francesca Grisoni, Gisbert Schneider. Mol Inform 2018
92
2

Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.
Marwin H S Segler, Thierry Kogej, Christian Tyrchan, Mark P Waller. ACS Cent Sci 2018
273
2

Computer-based de novo design of drug-like molecules.
Gisbert Schneider, Uli Fechner. Nat Rev Drug Discov 2005
435
2


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.