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Dataset expansion can effectively alleviate the problem of data scarcity for medical image segmentation, due to privacy concerns and labeling difficulties.
Stochastic differential equations
Bernt Øksendal and Bernt Øksendal · 2003
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Publishing data from electronic health records while preserving privacy: a survey of algorithms
Aris Gkoulalas-Divanis, Grigorios Loukides, and Jimeng Sun · 2014
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Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, Jeff Dean, et al · 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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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, et al · 2015
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Synthetic medical images from dual generative adversarial networks
John T Guibas, Tejpal S Virdi, and Peter S Li · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Learning implicit brain mri manifolds with deep learning
Camilo Bermúdez, Andrew J. Plassard, Larry Taylor Davis, Allen T. Newton, Susan M. Resnick, and Bennett A. Landman · 2018
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Semi-supervised learning with generative adversarial networks for chest x-ray classification with ability of data domain adaptation
Ali Madani, Mehdi Moradi, Alexandros Karargyris, and Tanveer F. Syeda-Mahmood · 2018
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Medical image synthesis with deep convolutional adversarial networks
Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, and Dinggang Shen · 2018
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Attention u-net: Learning where to look for the pancreas
Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, et al · 2018
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Xlsor: A robust and accurate lung segmentor on chest x-rays using criss-cross attention and customized radiorealistic abnormalities generation
You-Bao Tang, Yu-Xing Tang, Jing Xiao, and Ronald M Summers · 2019
Fourier transform-based data augmentation in deep learning for diabetic foot thermograph classification
Andrés Anaya-Isaza and Martha Zequera-Diaz · 2022
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Privacy for free: How does dataset condensation help privacy?
Tian Dong, Bo Zhao, and Lingjuan Lyu · 2022
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Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, and Jun Zhu · 2022
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Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, and Jun Zhu · 2022
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Diffusion probabilistic models beat gans on medical images
Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Sven Nebelung, Jakob Nikolas Kather, et al · 2022
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Covid-19 image data collection
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Transunet: Transformers make strong encoders for medical image segmentation
Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L Yuille, and Yuyin Zhou · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Cgmh pelvis datasets for research and education purposes only, 2021
Tommy NgX · 2021
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Evaluating gans in medical imaging
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Generating diffusion models ramblings (ix) Conditional control of generating results, Aug 2022
Jianlin Su · 2022
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Medical image segmentation using deep learning: A survey
Risheng Wang, Tao Lei, Ruixia Cui, Bingtao Zhang, Hongying Meng, and Asoke K Nandi · 2022
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Mush: Multi-scale hierarchical feature extraction for semantic image synthesis
Zicong Wang, Qiang Ren, Junli Wang, Chungang Yan, and Changjun Jiang · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, and Ben Mildenhall · 2023
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2023
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2023
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