Medical Image De-noising Using Deep Networks
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[1] Kyunghyun Cho,et al. Boltzmann Machines and Denoising Autoencoders for Image Denoising , 2013, ICLR.
[2] Ian W. Ricketts,et al. The Mammographic Image Analysis Society digital mammogram database , 1994 .
[3] Shaohui Liu,et al. Medical image denoising using convolutional neural network: a residual learning approach , 2017, The Journal of Supercomputing.
[4] Jürgen Schmidhuber,et al. Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction , 2011, ICANN.
[5] Enhong Chen,et al. Image Denoising and Inpainting with Deep Neural Networks , 2012, NIPS.
[6] Wei Xiong,et al. Stacked Convolutional Denoising Auto-Encoders for Feature Representation , 2017, IEEE Transactions on Cybernetics.
[7] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[8] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[9] M. Bertero,et al. Image deblurring with Poisson data: from cells to galaxies , 2009 .
[10] Yu-Bin Yang,et al. Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections , 2016, ArXiv.
[11] Lovedeep Gondara,et al. Medical Image Denoising Using Convolutional Denoising Autoencoders , 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).
[12] Timothy F. Cootes,et al. A benchmark for comparison of dental radiography analysis algorithms , 2016, Medical Image Anal..