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Deep neural networks have brought remarkable breakthroughs in medical image analysis.
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Cole, J.H., Poudel, R.P., Tsagkrasoulis, D., Caan, M.W., Steves, C., Spector, T.D., Montana, G.: Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker. NeuroImage 163
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Shen, D., Wu, G., Suk, H.I.: Deep learning in medical image analysis. Annual review of biomedical engineering 19
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Brudfors, M., Balbastre, Y., Nachev, P., Ashburner, J.: Mri super-resolution using multi-channel total variation. In: Annual Conference on Medical Image Understanding and Analysis. pp. 217–228. Springer (2018)
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Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 586–595 (2018)
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2021
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Dhariwal, P., Nichol, A.: Diffusion models beat gans on image synthesis. Advances in Neural Information Processing Systems 34
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Esser, P., Rombach, R., Ommer, B.: Taming transformers for high-resolution image synthesis. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 12873–12883 (2021)
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2019
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Kwon, G., Han, C., Kim, D.s.: Generation of 3d brain mri using auto-encoding generative adversarial networks. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 118–126. Springer (2019)
2019
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Lundervold, A.S., Lundervold, A.: An overview of deep learning in medical imaging focusing on mri. Zeitschrift für Medizinische Physik 29
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Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Advances in Neural Information Processing Systems 33
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2020
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2020
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Wang, L., Chen, W., Yang, W., Bi, F., Yu, F.R.: A state-of-the-art review on image synthesis with generative adversarial networks. IEEE Access 8
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2021
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Wang, T., Lei, Y., Fu, Y., Wynne, J.F., Curran, W.J., Liu, T., Yang, X.: A review on medical imaging synthesis using deep learning and its clinical applications. Journal of applied clinical medical physics 22
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2022
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2022
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Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10684–10695 (2022)
2022
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2022
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Sun, L., Chen, J., Xu, Y., Gong, M., Yu, K., Batmanghelich, K.: Hierarchical amortized gan for 3d high resolution medical image synthesis. IEEE Journal of Biomedical and Health Informatics (2022)
2022
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