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Temporal volume images with 3D+t (4D) information are often used in medical imaging to statistically analyze temporal dynamics or capture disease progression.
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2015
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Nie, D., Trullo, R., Lian, J., Petitjean, C., Ruan, S., Wang, Q., Shen, D.: Medical image synthesis with context-aware generative adversarial networks. In: International conference on medical image computing and computer-assisted intervention. pp. 417–425. Springer (2017)
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2017
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Balakrishnan, G., Zhao, A., Sabuncu, M.R., Guttag, J., Dalca, A.V.: An unsupervised learning model for deformable medical image registration. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 9252–9260 (2018)
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2018
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Dalca, A.V., Balakrishnan, G., Guttag, J., Sabuncu, M.R.: Unsupervised learning for fast probabilistic diffeomorphic registration. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 729–738. Springer (2018)
2018
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Nie, D., Trullo, R., Lian, J., Wang, L., Petitjean, C., Ruan, S., Wang, Q., Shen, D.: Medical image synthesis with deep convolutional adversarial networks. IEEE Transactions on Biomedical Engineering 65
2018
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Yang, H., Sun, J., Carass, A., Zhao, C., Lee, J., Xu, Z., Prince, J.: Unpaired brain mr-to-ct synthesis using a structure-constrained cyclegan. In: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, pp. 174–182. Springer (2018)
2018
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Balakrishnan, G., Zhao, A., Sabuncu, M.R., Guttag, J., Dalca, A.V.: Voxelmorph: a learning framework for deformable medical image registration. IEEE transactions on medical imaging 38
Song, J., Meng, C., Ermon, S.: Denoising diffusion implicit models. In: International Conference on Learning Representations (2020)
2020
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Amsalu, E., Liu, M., Li, Q., Wang, X., Tao, L., Liu, X., Luo, Y., Yang, X., Zhang, Y., Li, W., et al.: Spatial-temporal analysis of cause-specific cardiovascular hospital admission in beijing, china. International Journal of Environmental Health Research 31
2021
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2021
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Dey, N., Ren, M., Dalca, A.V., Gerig, G.: Generative adversarial registration for improved conditional deformable templates. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 3929–3941 (2021)
2021
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2019
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Dalca, A., Rakic, M., Guttag, J., Sabuncu, M.: Learning conditional deformable templates with convolutional networks. Advances in neural information processing systems 32
2019
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Dai, X., Lei, Y., Fu, Y., Curran, W.J., Liu, T., Mao, H., Yang, X.: Multimodal mri synthesis using unified generative adversarial networks. Medical physics 47
2020
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Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Advances in Neural Information Processing Systems 33
2020
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Kim, B., Kim, D.H., Park, S.H., Kim, J., Lee, J.G., Ye, J.C.: Cyclemorph: cycle consistent unsupervised deformable image registration. Medical Image Analysis 71
2021
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