A citation-based method for searching scientific literature

Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
Times Cited: 6178







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



Times Cited
  Times     Co-cited
Similarity


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

Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
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
7

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
6

Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
5

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
406
4

Deep Learning in Medical Image Analysis.
Dinggang Shen, Guorong Wu, Heung-Il Suk. Annu Rev Biomed Eng 2017
637
4

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
486
3

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

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
384
3

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

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
824
3

Deep learning in bioinformatics.
Seonwoo Min, Byunghan Lee, Sungroh Yoon. Brief Bioinform 2017
302
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

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
701
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
145
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
476
3


Convolutional neural networks: an overview and application in radiology.
Rikiya Yamashita, Mizuho Nishio, Richard Kinh Gian Do, Kaori Togashi. Insights Imaging 2018
167
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
181
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
319
2


Statistics versus machine learning.
Danilo Bzdok, Naomi Altman, Martin Krzywinski. Nat Methods 2018
140
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
38
5

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
434
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
15
13

Deep Learning for Health Informatics.
Daniele Ravi, Charence Wong, Fani Deligianni, Melissa Berthelot, Javier Andreu-Perez, Benny Lo, Guang-Zhong Yang. IEEE J Biomed Health Inform 2017
218
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
84
2

A comparison of MCC and CEN error measures in multi-class prediction.
Giuseppe Jurman, Samantha Riccadonna, Cesare Furlanello. PLoS One 2012
71
2

ZINC 15--Ligand Discovery for Everyone.
Teague Sterling, John J Irwin. J Chem Inf Model 2015
723
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
96
2

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
74
2

De Novo Design of Bioactive Small Molecules by Artificial Intelligence.
Daniel Merk, Lukas Friedrich, Francesca Grisoni, Gisbert Schneider. Mol Inform 2018
86
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
245
2

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
401
2

The Sleep Heart Health Study: design, rationale, and methods.
S F Quan, B V Howard, C Iber, J P Kiley, F J Nieto, G T O'Connor, D M Rapoport, S Redline, J Robbins, J M Samet,[...]. Sleep 1997
506
2

A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series.
Stanislas Chambon, Mathieu N Galtier, Pierrick J Arnal, Gilles Wainrib, Alexandre Gramfort. IEEE Trans Neural Syst Rehabil Eng 2018
49
4

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y Chen, Maarten De Vos. IEEE Trans Neural Syst Rehabil Eng 2019
21
9

Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks.
Fernando Andreotti, Huy Phan, Navin Cooray, Christine Lo, Michele T M Hu, Maarten De Vos. Annu Int Conf IEEE Eng Med Biol Soc 2018
11
18

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks.
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y Chen, Maarten De Vos. Annu Int Conf IEEE Eng Med Biol Soc 2018
8
25

PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.
A L Goldberger, L A Amaral, L Glass, J M Hausdorff, P C Ivanov, R G Mark, J E Mietus, G B Moody, C K Peng, H E Stanley. Circulation 2000
2

Expert-level sleep scoring with deep neural networks.
Siddharth Biswal, Haoqi Sun, Balaji Goparaju, M Brandon Westover, Jimeng Sun, Matt T Bianchi. J Am Med Inform Assoc 2018
35
5

Learning long-term dependencies with gradient descent is difficult.
Y Bengio, P Simard, P Frasconi. IEEE Trans Neural Netw 1994
403
2

Diagnosis of Alzheimer's Disease via Multi-Modality 3D Convolutional Neural Network.
Yechong Huang, Jiahang Xu, Yuncheng Zhou, Tong Tong, Xiahai Zhuang. Front Neurosci 2019
13
15

Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network.
Xiangming Zhao, Laquan Li, Wei Lu, Shan Tan. Phys Med Biol 2018
21
9




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.