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Synthesized medical images have several important applications, e.g., as an intermedium in cross-modality image registration and as supplementary training samples to boost the generalization capability of a classifier.
Measures of the amount of ecologic association between species
L. R. Dice · 1945
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Is synthesizing mri contrast useful for inter-modality analysis?
J. E. Iglesias, E. Konukoglu, D. Zikic, B. Glocker, K. Van Leemput, and B. Fischl · 2013
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Adam: A method for stochastic optimization
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A new 2.5 d representation for lymph node detection using random sets of deep convolutional neural network observations
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Robust ct synthesis for radiotherapy planning: application to the head and neck region
N. Burgos, M. J. Cardoso, F. Guerreiro, C. Veiga, M. Modat, J. McClelland, A.-C. Knopf, S. Punwani, D. Atkinson, S. R. Arridge, et al · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Cross-domain synthesis of medical images using efficient location-sensitive deep network
H. Van Nguyen, K. Zhou, and R. Vemulapalli · 2015
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Unsupervised cross-modal synthesis of subject-specific scans
R. Vemulapalli, H. Van Nguyen, and S. Kevin Zhou · 2015
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The importance of skip connections in biomedical image segmentation
M. Drozdzal, E. Vorontsov, G. Chartrand, S. Kadoury, and C. Pal · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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M.-Y. Liu and O. Tuzel · 2016
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Semantic segmentation using adversarial networks
P. Luc, C. Couprie, S. Chintala, and J. Verbeek · 2016
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Medical image synthesis with context-aware generative adversarial networks
D. Nie, R. Trullo, C. Petitjean, S. Ruan, and D. Shen · 2016
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Deconvolution and checkerboard artifacts
A. Odena, V. Dumoulin, and C. Olah · 2016
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Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Instance normalization: The missing ingredient for fast stylization
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2016
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Colorful image colorization
R. Zhang, P. Isola, and A. A. Efros · 2016
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Learning to discover cross-domain relations with generative adversarial networks
T. Kim, M. Cha, H. Kim, J. Lee, and J. Kim · 2017
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Adversarial networks for the detection of aggressive prostate cancer
S. Kohl, D. Bonekamp, H.-P. Schlemmer, K. Yaqubi, M. Hohenfellner, B. Hadaschik, J.-P. Radtke, and K. Maier-Hein · 2017
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Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
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Gans for biological image synthesis
A. Osokin, A. Chessel, R. E. C. Salas, and F. Vaggi · 2017
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Learning from simulated and unsupervised images through adversarial training
A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, and R. Webb · 2017
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M. Arjovsky, S. Chintala, and L. Bottou · 2017
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Began: Boundary equilibrium generative adversarial networks
D. Berthelot, T. Schumm, and L. Metz · 2017
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Unsupervised pixel-level domain adaptation with generative adversarial networks
K. Bousmalis, N. Silberman, D. Dohan, D. Erhan, and D. Krishnan · 2017
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Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis
X. Cao, J. Yang, Y. Gao, Y. Guo, G. Wu, and D. Shen · 2017
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Towards adversarial retinal image synthesis
P. Costa, A. Galdran, M. I. Meyer, M. D. Abràmoff, M. Niemeijer, A. M. Mendonça, and A. Campilho · 2017
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Learning compositional visual concepts with mutual consistency
Y. Gong, S. Karanam, Z. Wu, K.-C. Peng, J. Ernst, and P. C. Doerschuk · 2017
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Simultaneous super-resolution and cross-modality synthesis of 3d medical images using weakly-supervised joint convolutional sparse coding
Y. Huang, L. Shao, and A. F. Frangi · 2017
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Differential angular imaging for material recognition
J. Xue, H. Zhang, K. Dana, and K. Nishino · 2017
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Segan: Adversarial network with multi-scale
Y. Xue, T. Xu, H. Zhang, R. Long, and X. Huang · 2017
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Automatic liver segmentation using an adversarial image-to-image network
D. Yang, D. Xu, S. K. Zhou, B. Georgescu, M. Chen, S. Grbic, D. Metaxas, and D. Comaniciu · 2017
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Dualgan: Unsupervised dual learning for image-to-image translation
Z. Yi, H. Zhang, P. T. Gong, et al · 2017
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Tandemnet: Distilling knowledge from medical images using diagnostic reports as optional semantic references
Z. Zhang, P. Chen, M. Sapkota, and L. Yang · 2017
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Mdnet: A semantically and visually interpretable medical image diagnosis network
Z. Zhang, Y. Xie, F. Xing, M. Mcgough, and L. Yang · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Adversarial synthesis learning enables segmentation without target modality ground truth
Y. Huo, Z. Xu, S. Bao, A. Assad, R. G. Abramson, and B. A. Landman · 2018
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Photographic text-to-image synthesis with a hierarchically-nested adversarial network
Z. Zhang, Y. Xie, and L. Yang · 2018
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