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Segmentation of enhancing tumours or lesions from MRI is important for detecting new disease activity in many clinical contexts.
Gadolinium-contrast toxicity in patients with kidney disease: nephrotoxicity and nephrogenic systemic fibrosis
Mark A Perazella · 2008
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Prognostic significance of imaging contrast enhancement for WHO grade II gliomas
Johan Pallud, Laurent Capelle, Luc Taillandier, Denys Fontaine, Emmanuel Mandonnet, Rémy Guillevin, Luc Bauchet, Philippe Peruzzi, Florence Laigle-Donadey, Michèle Kujas, et al · 2009
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Conventional MRI evaluation of gliomas
N Upadhyay and Waldman · 2011
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Rectifier nonlinearities improve neural network acoustic models
Maas, Andrew L and Hannun, Awni Y and Ng, Andrew Y · 2013
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Generative adversarial networks
Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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The multimodal brain tumor image segmentation benchmark (BRATS)
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, et al · 2014
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Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Why does synthesized data improve multi-sequence classification?
Gijs Van Tulder and Marleen de Bruijne · 2015
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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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Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Yarin Gal and Zoubin Ghahramani · 2016
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HeMIS: Hetero-modal image segmentation
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, and Yoshua Bengio · 2016
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Instance normalization: The missing ingredient for fast stylization
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2016
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Deep bayesian active learning with image data
Yarin Gal, Riashat Islam, and Zoubin Ghahramani · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Decoupled weight decay regularization
Loshchilov, Ilya and Hutter, Frank · 2017
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Least squares generative adversarial networks
Hetero-modal variational encoder-decoder for joint modality completion and segmentation
Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, and Tom Vercauteren · 2019
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MSG-GAN: multi-scale gradient GAN for stable image synthesis
Animesh Karnewar and Oliver Wang · 2019
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Missing MRI pulse sequence synthesis using multi-modal generative adversarial network
Anmol Sharma and Ghassan Hamarneh · 2019
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Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak, Stefano V Albrecht, and Andrew Nystrom · 2019
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Feature-map-level online adversarial knowledge distillation
Inseop Chung, SeongUk Park, Jangho Kim, and Nojun Kwak · 2020
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Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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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
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Convergence problems with generative adversarial networks (gans)
Samuel A Barnett · 2018
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No new-net
Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, and Klaus H Maier-Hein · 2018
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RS-Net: Regression-segmentation 3D CNN for synthesis of full resolution missing brain MRI in the presence of tumours
Raghav Mehta and Tal Arbel · 2018
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Vox2Vox: 3D-GAN for brain tumour segmentation
Marco Domenico Cirillo, David Abramian, and Anders Eklund · 2020
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Knowledge distillation from multi-modal to mono-modal segmentation networks
Minhao Hu, Matthis Maillard, Ya Zhang, Tommaso Ciceri, Giammarco La Barbera, Isabelle Bloch, and Pietro Gori · 2020
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Uncertainty Evaluation Metric for Brain Tumour Segmentation
Raghav Mehta, Angelos Filos, Yarin Gal, and Tal Arbel · 2020
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Weakly supervised segmentation with multi-scale adversarial attention gates
Gabriele Valvano, Andrea Leo, and Sotirios A Tsaftaris · 2020
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P-KDGAN: Progressive knowledge distillation with gans for one-class novelty detection
Zhiwei Zhang, Shifeng Chen, and Lei Sun · 2020
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