Who Cited It

Deep Learning in Medical Image Analysis

2017 · Annual Review of Biomedical Engineering · 4,917 citations · 5 from inside this corpus

Dinggang Shen, Guorong Wu, Heung‐Il Suk

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Deep Learning in Medical Image Analysis (2017)Deep Learning in Medical Imag…Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Learning representations by back-propagating errors (1986)Learning representations by b…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…A Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2024)Batch Normalization: Accelera…Understanding the difficulty of training deep feedforward neural networks (2010)Understanding the difficulty …Neural Networks for Pattern Recognition (1995)Neural Networks for Pattern R…The perceptron: A probabilistic model for information storage and organization in the bra… (1958)The perceptron: A probabilist…Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…Approximation capabilities of multilayer feedforward networks (1991)Approximation capabilities of…Deep Sparse Rectifier Neural Networks (2011)Deep Sparse Rectifier Neural …A unified architecture for natural language processing (2008)A unified architecture for na…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Training Products of Experts by Minimizing Contrastive Divergence (2002)Training Products of Experts …On the importance of initialization and momentum in deep learning (2013)On the importance of initiali…Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks (2013)Mitosis Detection in Breast C…Auto-association by multilayer perceptrons and singular value decomposition (1988)Auto-association by multilaye…A survey on deep learning in medical image analysis (2017)A survey on deep learning in …Classification and mutation prediction from non–small cell lung cancer histopathology ima… (2018)Classification and mutation p…Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health R… (2017)Deep EHR: A Survey of Recent …Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges (2019)Deep Learning Techniques for …Deep Learning Applications in Medical Image Analysis (2017)Deep Learning Applications in…
24 of 24 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Dropout: a simple way to prevent neural networks from overfitting201434,236
Learning representations by back-propagating errors198631,688
Reducing the Dimensionality of Data with Neural Networks200621,247
Deep learning in neural networks: An overview201418,236
A Fast Learning Algorithm for Deep Belief Nets200616,540
Mastering the game of Go with deep neural networks and tree search201616,014
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…202415,663
Understanding the difficulty of training deep feedforward neural networks201012,673
Neural Networks for Pattern Recognition199512,273
The perceptron: A probabilistic model for information storage and organization in the bra…195811,965
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399
Approximation capabilities of multilayer feedforward networks19916,176
Deep Sparse Rectifier Neural Networks20115,428
A unified architecture for natural language processing20085,207
Learning Deep Architectures for AI20095,077
Training Products of Experts by Minimizing Contrastive Divergence20025,032
On the importance of initialization and momentum in deep learning20133,523
Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks20131,562
Auto-association by multilayer perceptrons and singular value decomposition19881,369

What cites it, inside the corpus

PaperYearCited
A survey on deep learning in medical image analysis201715,110
Classification and mutation prediction from non–small cell lung cancer histopathology ima…20182,987
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health R…20171,693
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges20191,646
Deep Learning Applications in Medical Image Analysis20171,497

Links

DOI · Open access copy · OpenAlex record

Topics

AI in cancer detectionComputer Science
Radiomics and Machine Learning in Medical ImagingMedicine
Medical Image Segmentation TechniquesComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports123 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…