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This paper discusses how distribution matching losses, such as those used in CycleGAN, when used to synthesize medical images can lead to mis-diagnosis of medical conditions.
Generative Adversarial Networks
Goodfellow, I.J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: · 2014
Earlier work this paper cites.
Conditional Generative Adversarial Nets
Mirza, M., Osindero, S.: · 2014
Earlier work this paper cites.
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Menze, B.H., Jakab, A., Bauer, S., et al.: · 2015
Earlier work this paper cites.
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
Nie, D., Trullo, R., Petitjean, C., Ruan, S., Shen, D.: · 2016
Earlier work this paper cites.
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: · 2017
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: · 2017
Cited alongside, same era.
Unsupervised Image-to-Image Translation Networks
Liu, M.Y., Breuel, T., Kautz, J.: · 2017
Cited alongside, same era.
Adversarially Learned Inference
Dumoulin, V., Belghazi, I., Poole, B., Mastropietro, O., Lamb, A., Arjovsky, M., Courville, A.: · 2017
Cited alongside, same era.
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
Lamb, A., Hjelm, D., Ganin, Y., Cohen, J.P., Courville, A., Bengio, Y.: · 2017
Cited alongside, same era.
Deep MR to CT synthesis using unpaired data
Wolterink, J.M., Dinkla, A.M., Savenije, M.H., Seevinck, P.R., van den Berg, C.A., Išgum, I.: · 2017
Cited alongside, same era.
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results
Ben-Cohen, A., Klang, E., Raskin, S.P., Amitai, M.M., Greenspan, H.: · 2017
Later among the works it cites.
Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks
Bayramolu, N., Kaakinen, M., Eklund, L.: · 2017
Later among the works it cites.
CycleGAN, a Master of Steganography
Chu, C., Zhmoginov, A., Sandler, M.: · 2017
Later among the works it cites.
Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss
Quan, T.M., Nguyen-Duc, T., Jeong, W.K.: · 2018
Closest in time.
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
Yang, G., Yu, S., Dong, H., Slabaugh, G., Dragotti, P.L., Ye, X., Liu, F., Arridge, S., Keegan, J., Guo, Y., Firmin, D.: · 2018
Closest in time.
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