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Artificial Intelligence (AI) is having a tremendous impact across most areas of science.
Kornia: an open source differentiable computer vision library for pytorch (2020)
Riba, E., Mishkin, D., Ponsa, D., Rublee, E. & Bradski, G · 1910
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Pytorch: An imperative style, high-performance deep learning library (2019)
Paszke, A. et al · 1912
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Mnist handwritten digit database
LeCun, Y., Cortes, C. & Burges, C · 2010
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ITK: enabling reproducible research and open science
McCormick, M., Liu, X., Ibanez, L., Jomier, J. & Marion, C · 2014
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Fleet, D., Pajdla, T., Schiele, B. & Tuytelaars, T. (eds) Visualizing and Understanding Convolutional Networks
Zeiler, M. D. & Fergus, R · 2014
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Chen, T. et al · 2015
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in U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O., Fischer, P. & Brox, T · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification (2015)
He, K., Zhang, X., Ren, S. & Sun, J · 2015
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Tensorflow: A system for large-scale machine learning (2016)
Abadi, M. et al · 2016
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Gaussian error linear units (gelus) (2016)
Hendrycks, D. & Gimpel, K · 2016
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems (2016)
Abadi, M. et al · 2016
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Dltk: State of the art reference implementations for deep learning on medical images (2017)
Pawlowski, N. et al · 2017
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Cardoso, M. J. et al. (eds) Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations
Sudre, C. H., Li, W., Vercauteren, T., Ourselin, S. & Jorge Cardoso, M · 2017
Cited alongside, same era.
Self-normalizing neural networks (2017)
Klambauer, G., Unterthiner, T., Mayr, A. & Hochreiter, S · 2017
Cited alongside, same era.
Grad-cam: Visual explanations from deep networks via gradient-based localization (2017)
Selvaraju, R. R. et al · 2017
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Smoothgrad: removing noise by adding noise (2017)
Smilkov, D., Thorat, N., Kim, B., Viégas, F. & Wattenberg, M · 2017
Cited alongside, same era.
Niftynet: a deep-learning platform for medical imaging
Gibson, E. et al · 2018
Cited alongside, same era.
DeepReg: a deep learning toolkit for medical image registration
Fu, Y. et al · 2020
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Multi-domain clinical natural language processing with medcat: The medical concept annotation toolkit
Kraljevic, Z. et al · 2021
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Deepneuro: an open-source deep learning toolbox for neuroimaging
Beers, A. et al · 2021
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python-pillow/pillow: 8.4.0 (2021)
van Kemenade, H. et al · 2021
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Torchio: a python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Pérez-García, F., Sparks, R. & Ourselin, S · 2021
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Phoenixdl/rising: High-performance differentiable medical data augmentation
Schock, J., Baumgartner, M. & Weninger, L · 2021
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Predicting scheduled hospital attendance with artificial intelligence
Nelson, A., Herron, D., Rees, G. & Nachev, P · 2019
Cited alongside, same era.
The “inconvenient truth”about ai in healthcare
Panch, T., Mattie, H. & Celi, L. A · 2019
Cited alongside, same era.
The state of machine learning frameworks in 2019
He, H · 2019
Cited alongside, same era.
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
Wang, G. et al · 2019
Cited alongside, same era.
Artificial intelligence outperforms human students in conducting neurosurgical audits
Brzezicki, M. A. et al · 2020
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nipy/nibabel: 3.2.1 (2020)
Brett, M. et al · 2020
Cited alongside, same era.
batchgenerators - a python framework for data augmentation (2020)
Isensee, F. et al · 2020
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cucim - a gpu image i/o and processing library (2021)
Lee, G., Bae, G., Zaitlen, B., Kirkham, J. & Choudhury, R · 2021
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Common limitations of image processing metrics: A picture story (2021)
Reinke, A. et al · 2021
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The medical segmentation decathlon (2021)
Antonelli, M. et al · 2021
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Monai label: A framework for ai-assisted interactive labeling of 3d medical images (2022)
Diaz-Pinto, A. et al · 2022
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Metrics reloaded: Pitfalls and recommendations for image analysis validation (2022)
Maier-Hein, L. et al · 2022
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Tensorboardplugin3d: 3d tensor visualization
Major, B., McCormick, M. & Aylward, S · 2022
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