Uncertainty Evaluation Metric for Brain Tumour Segmentation

Evaluation of automatic neonatal brain segmentation algorithms: the neobrains12 challenge

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Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation

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3d u-net: learning dense volumetric segmentation from sparse annotation

Özgün Çiçek, Ahmed Abdulkadir, Soeren S Lienkamp, Thomas Brox, and Olaf Ronneberger · 2016

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Yarin Gal and Zoubin Ghahramani · 2016

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Deep bayesian active learning with image data

Yarin Gal, Riashat Islam, and Zoubin Ghahramani · 2017

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Efficient multi-scale 3d cnn with fully connected crf for accurate brain lesion segmentation

Konstantinos Kamnitsas, Christian Ledig, Virginia FJ Newcombe, Joanna P Simpson, Andrew D Kane, David K Menon, Daniel Rueckert, and Ben Glocker · 2017

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Simple and scalable predictive uncertainty estimation using deep ensembles

Balaji Lakshminarayanan, Alexander Pritzel, and Charles Blundell · 2017

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge

Original

Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, et al · 2018

Cited alongside, same era.

No new-net

Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, and Klaus H Maier-Hein · 2018

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3d u-net for brain tumour segmentation

Raghav Mehta and Tal Arbel · 2018

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Understanding measures of uncertainty for adversarial example detection

Original

Lewis Smith and Yarin Gal · 2018

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A simple baseline for bayesian uncertainty in deep learning

Wesley J Maddox, Pavel Izmailov, Timur Garipov, Dmitry P Vetrov, and Andrew Gordon Wilson · 2019

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