Who Cited It

A survey on deep learning in medical image analysis

2017 · Medical Image Analysis · 15,110 citations · 10 from inside this corpus

Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud A. A. Setio, Francesco Ciompi, Mohsen Ghafoorian low, Jeroen van der Laak, Bram van Ginneken, Clara I. Sá‎nchez

No abstract in the source record.

A survey on deep learning in medical image analysis (2017)A survey on deep learning in …Long Short-Term Memory (1997)Long Short-Term MemoryLearning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla… (2014)Learning Phrase Representatio…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…A Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…Auto-Encoding Variational Bayes (2013)Auto-Encoding Variational Bay…Learning long-term dependencies with gradient descent is difficult (1994)Learning long-term dependenci…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Deep Learning in Medical Image Analysis (2017)Deep Learning in Medical Imag…Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla… (2014)Learning Phrase Representatio…What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? (2017)What Uncertainties Do We Need…Neural Networks: Tricks of the Trade (2012)Neural Networks: Tricks of th…Deep Learning for Health Informatics (2016)Deep Learning for Health Info…Practical Recommendations for Gradient-Based Training of Deep Architectures (2012)Practical Recommendations for…Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Excit… (2016)Guest Editorial Deep Learning…Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks (2013)Mitosis Detection in Breast C…Explaining nonlinear classification decisions with deep Taylor decomposition (2016)Explaining nonlinear classifi…A guide to deep learning in healthcare (2018)A guide to deep learning in h…A review of uncertainty quantification in deep learning: Techniques, applications and cha… (2021)A review of uncertainty quant…All-optical machine learning using diffractive deep neural networks (2018)All-optical machine learning …MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmenta… (2019)MultiResUNet : Rethinking the…Definitions, methods, and applications in interpretable machine learning (2019)Definitions, methods, and app…GAN-based synthetic medical image augmentation for increased CNN performance in liver les… (2018)GAN-based synthetic medical i…Generative adversarial network in medical imaging: A review (2019)Generative adversarial networ…Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges (2019)Deep Learning Techniques for …A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)A State-of-the-Art Survey on …Deep Learning Applications in Medical Image Analysis (2017)Deep Learning Applications in…
26 of 26 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
Long Short-Term Memory1997101,359
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…201425,048
Reducing the Dimensionality of Data with Neural Networks200621,247
A Fast Learning Algorithm for Deep Belief Nets200616,540
Auto-Encoding Variational Bayes201315,583
Learning long-term dependencies with gradient descent is difficult19948,610
Practical Bayesian Optimization of Machine Learning Algorithms20125,674
Deep Learning in Medical Image Analysis20174,917
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…20143,518
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?20172,537
Neural Networks: Tricks of the Trade20122,159
Deep Learning for Health Informatics20162,015
Practical Recommendations for Gradient-Based Training of Deep Architectures20121,960
Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Excit…20161,748
Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks20131,562
Explaining nonlinear classification decisions with deep Taylor decomposition20161,413

What cites it, inside the corpus

PaperYearCited
A guide to deep learning in healthcare20185,126
A review of uncertainty quantification in deep learning: Techniques, applications and cha…20212,644
All-optical machine learning using diffractive deep neural networks20182,553
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmenta…20192,334
Definitions, methods, and applications in interpretable machine learning20192,161
GAN-based synthetic medical image augmentation for increased CNN performance in liver les…20181,976
Generative adversarial network in medical imaging: A review20191,902
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges20191,646
A State-of-the-Art Survey on Deep Learning Theory and Architectures20191,619
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 Imaging and AnalysisEngineering

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complete

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

  • supports9 author record(s) attached.
  • supports578 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

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