A citation-based method for searching scientific literature

Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
Times Cited: 9534







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



Times Cited
  Times     Co-cited
Similarity


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

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
6

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


Image reconstruction by domain-transform manifold learning.
Bo Zhu, Jeremiah Z Liu, Stephen F Cauley, Bruce R Rosen, Matthew S Rosen. Nature 2018
432
4

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

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
4


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

Learning a variational network for reconstruction of accelerated MRI data.
Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P Recht, Daniel K Sodickson, Thomas Pock, Florian Knoll. Magn Reson Med 2018
387
3

Learning hierarchical features for scene labeling.
Clément Farabet, Camille Couprie, Laurent Najman, Yann Lecun. IEEE Trans Pattern Anal Mach Intell 2013
253
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
609
3

High-throughput, label-free, single-cell, microalgal lipid screening by machine-learning-equipped optofluidic time-stretch quantitative phase microscopy.
Baoshan Guo, Cheng Lei, Hirofumi Kobayashi, Takuro Ito, Yaxiaer Yalikun, Yiyue Jiang, Yo Tanaka, Yasuyuki Ozeki, Keisuke Goda. Cytometry A 2017
30
10

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning.
Babak Alipanahi, Andrew Delong, Matthew T Weirauch, Brendan J Frey. Nat Biotechnol 2015
955
3

Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.
Tao Ai, Zhenlu Yang, Hongyan Hou, Chenao Zhan, Chong Chen, Wenzhi Lv, Qian Tao, Ziyong Sun, Liming Xia. Radiology 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

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia.
Xiaowei Xu, Xiangao Jiang, Chunlian Ma, Peng Du, Xukun Li, Shuangzhi Lv, Liang Yu, Qin Ni, Yanfei Chen, Junwei Su,[...]. Engineering (Beijing) 2020
322
3

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios.
Rodolfo M Pereira, Diego Bertolini, Lucas O Teixeira, Carlos N Silla, Yandre M G Costa. Comput Methods Programs Biomed 2020
138
3

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.
Asif Iqbal Khan, Junaid Latief Shah, Mohammad Mudasir Bhat. Comput Methods Programs Biomed 2020
298
3

MoleculeNet: a benchmark for molecular machine learning.
Zhenqin Wu, Bharath Ramsundar, Evan N Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S Pappu, Karl Leswing, Vijay Pande. Chem Sci 2017
453
3

Deep learning for healthcare: review, opportunities and challenges.
Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T Dudley. Brief Bioinform 2018
469
3


Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
Awni Y Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H Tison, Codie Bourn, Mintu P Turakhia, Andrew Y Ng. Nat Med 2019
553
3

A systematic study of the class imbalance problem in convolutional neural networks.
Mateusz Buda, Atsuto Maki, Maciej A Mazurowski. Neural Netw 2018
222
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
2

Learning long-term dependencies with gradient descent is difficult.
Y Bengio, P Simard, P Frasconi. IEEE Trans Neural Netw 1994
601
2

Representation learning: a review and new perspectives.
Yoshua Bengio, Aaron Courville, Pascal Vincent. IEEE Trans Pattern Anal Mach Intell 2013
2

Fiji: an open-source platform for biological-image analysis.
Johannes Schindelin, Ignacio Arganda-Carreras, Erwin Frise, Verena Kaynig, Mark Longair, Tobias Pietzsch, Stephan Preibisch, Curtis Rueden, Stephan Saalfeld, Benjamin Schmid,[...]. Nat Methods 2012
2

Content-aware image restoration: pushing the limits of fluorescence microscopy.
Martin Weigert, Uwe Schmidt, Tobias Boothe, Andreas Müller, Alexandr Dibrov, Akanksha Jain, Benjamin Wilhelm, Deborah Schmidt, Coleman Broaddus, Siân Culley,[...]. Nat Methods 2018
262
2

scikit-image: image processing in Python.
Stéfan van der Walt, Johannes L Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu. PeerJ 2014
939
2

Deep Learning for Computer Vision: A Brief Review.
Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis, Eftychios Protopapadakis. Comput Intell Neurosci 2018
287
2

Convolutional neural networks for dental image diagnostics: A scoping review.
Falk Schwendicke, Tatiana Golla, Martin Dreher, Joachim Krois. J Dent 2019
82
2

Artificial Intelligence in Dentistry: Chances and Challenges.
F Schwendicke, W Samek, J Krois. J Dent Res 2020
91
2

Deep Visual-Semantic Alignments for Generating Image Descriptions.
Andrej Karpathy, Li Fei-Fei. IEEE Trans Pattern Anal Mach Intell 2017
64
3

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
407
2

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.
Nicholas Bien, Pranav Rajpurkar, Robyn L Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N Patel, Kristen W Yeom, Katie Shpanskaya,[...]. PLoS Med 2018
170
2

Sparse MRI: The application of compressed sensing for rapid MR imaging.
Michael Lustig, David Donoho, John M Pauly. Magn Reson Med 2007
2

Dynamic programming.
R Bellman. Science 1966
85
2


Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
Sergio Pereira, Adriano Pinto, Victor Alves, Carlos A Silva. IEEE Trans Med Imaging 2016
519
2

Overcoming catastrophic forgetting in neural networks.
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska,[...]. Proc Natl Acad Sci U S A 2017
220
2


Backpropagation and the brain.
Timothy P Lillicrap, Adam Santoro, Luke Marris, Colin J Akerman, Geoffrey Hinton. Nat Rev Neurosci 2020
101
2

Theories of Error Back-Propagation in the Brain.
James C R Whittington, Rafal Bogacz. Trends Cogn Sci 2019
70
2

DeepCEST 3T: Robust MRI parameter determination and uncertainty quantification with neural networks-application to CEST imaging of the human brain at 3T.
Felix Glang, Anagha Deshmane, Sergey Prokudin, Florian Martin, Kai Herz, Tobias Lindig, Benjamin Bender, Klaus Scheffler, Moritz Zaiss. Magn Reson Med 2020
23
8

U1 snRNP regulates cancer cell migration and invasion in vitro.
Jung-Min Oh, Christopher C Venters, Chao Di, Anna Maria Pinto, Lili Wan, Ihab Younis, Zhiqiang Cai, Chie Arai, Byung Ran So, Jingqi Duan,[...]. Nat Commun 2020
2

COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings.
Mohd Zulfaezal Che Azemin, Radhiana Hassan, Mohd Izzuddin Mohd Tamrin, Mohd Adli Md Ali. Int J Biomed Imaging 2020
37
5

CVDNet: A novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images.
Chaimae Ouchicha, Ouafae Ammor, Mohammed Meknassi. Chaos Solitons Fractals 2020
52
3

CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV).
Michael Chung, Adam Bernheim, Xueyan Mei, Ning Zhang, Mingqian Huang, Xianjun Zeng, Jiufa Cui, Wenjian Xu, Yang Yang, Zahi A Fayad,[...]. Radiology 2020
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.