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The increasing efficiency and compactness of deep learning architectures, together with hardware improvements, have enabled the complex and high-dimensional modelling of medical volumetric data at higher resolutions.
Nonlinear total variation based noise removal algorithms
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Multiscale structural similarity for image quality assessment
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Alzheimer’s disease neuroimaging initiative (adni): clinical characterization
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Auto-encoding variational bayes
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Generative adversarial nets
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The alzheimer’s disease neuroimaging initiative phase 2: Increasing the length, breadth, and depth of our understanding
Laurel A Beckett, Michael C Donohue, Cathy Wang, Paul Aisen, Danielle J Harvey, Naomi Saito, Alzheimer’s Disease Neuroimaging Initiative, et al · 2015
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Geodesic information flows: spatially-variant graphs and their application to segmentation and fusion
M Jorge Cardoso, Marc Modat, Robin Wolz, Andrew Melbourne, David Cash, Daniel Rueckert, and Sebastien Ourselin · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
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Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang · 2016
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Andrew Aitken, Christian Ledig, Lucas Theis, Jose Caballero, Zehan Wang, and Wenzhe Shi · 2017
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SGDR: stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2017
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Pixelcnn++: A pixelcnn implementation with discretized logistic mixture likelihood and other modifications
Tim Salimans, Andrej Karpathy, Xi Chen, and Diederik P. Kingma · 2017
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Neural discrete representation learning
Aaron van den Oord, Oriol Vinyals, et al · 2017
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Fusing unsupervised and supervised deep learning for white matter lesion segmentation
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, and Nassir Navab · 2019
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Large scale adversarial representation learning
Jeff Donahue and Karen Simonyan · 2019
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Generative image translation for data augmentation of bone lesion pathology
Anant Gupta, Srivas Venkatesh, Sumit Chopra, and Christian Ledig · 2019
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Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, and Pieter Abbeel · 2019
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Generation of 3d brain mri using auto-encoding generative adversarial networks
Gihyun Kwon, Chihye Han, and Dae-shik Kim · 2019
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Large scale gan training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
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Predicting aging of brain metabolic topography using variational autoencoder
Hongyoon Choi, Hyejin Kang, Dong Soo Lee, Alzheimer’s Disease Neuroimaging Initiative, et al · 2018
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Niftynet: a deep-learning platform for medical imaging
Eli Gibson, Wenqi Li, Carole Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, and Tom Vercauteren · 2018
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A probabilistic u-net for segmentation of ambiguous images
Simon Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R Ledsam, Klaus Maier-Hein, SM Ali Eslami, Danilo Jimenez Rezende, and Olaf Ronneberger · 2018
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Oasis-3: Longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and alzheimer’s disease
Pamela J LaMontagne, Sarah Keefe, Wallace Lauren, Chengjie Xiong, Elizabeth A Grant, Krista L Moulder, John C Morris, Tammie LS Benzinger, and Daniel S Marcus · 2018
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Unsupervised depth estimation, 3d face rotation and replacement
Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, and Chris Pal · 2018
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A general and adaptive robust loss function
Jonathan T Barron · 2019
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Davincigan: Unpaired surgical instrument translation for data augmentation
Kyungmoon Lee, Min-Kook Choi, and Heechul Jung · 2019
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Active appearance model induced generative adversarial network for controlled data augmentation
Jianfei Liu, Christine Shen, Tao Liu, Nancy Aguilera, and Johnny Tam · 2019
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Generating diverse high-fidelity images with vq-vae-2
Ali Razavi, Aaron van den Oord, and Oriol Vinyals · 2019
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Spatial patterns of white matter hyperintensities associated with alzheimer’s disease risk factors in a cognitively healthy middle-aged cohort
Gemma Salvadó, Anna Brugulat-Serrat, Carole H Sudre, Oriol Grau-Rivera, Marc Suárez-Calvet, Carles Falcon, Karine Fauria, M Jorge Cardoso, Frederik Barkhof, José Luis Molinuevo, et al · 2019
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Checkerboard artifacts free convolutional neural networks
Yusuke Sugawara, Sayaka Shiota, and Hitoshi Kiya · 2019
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Self-training with noisy student improves imagenet classification
Qizhe Xie, Eduard Hovy, Minh-Thang Luong, and Quoc V Le · 2019
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Fixup initialization: Residual learning without normalization
Hongyi Zhang, Yann N. Dauphin, and Tengyu Ma · 2019
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Fmri data augmentation via synthesis
Peiye Zhuang, Alexander G Schwing, and Oluwasanmi Koyejo · 2019
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