Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model

Author:

Peng WeiORCID,Adeli EhsanORCID,Bosschieter TomasORCID,Park Sang HyunORCID,Zhao QingyuORCID,Pohl Kilian M.ORCID

Publisher

Springer Nature Switzerland

Reference30 articles.

1. Bermudez, C., Plassard, A.J., Davis, L.T., Newton, A.T., Resnick, S.M., Landman, B.A.: Learning implicit brain MRI manifolds with deep learning. In: Medical Imaging 2018: Image Processing, vol. 10574, pp. 408–414. SPIE (2018)

2. Dar, S.U., Yurt, M., Karacan, L., Erdem, A., Erdem, E., Çukur, T.: Image synthesis in multi-contrast MRI with conditional generative adversarial networks. IEEE Trans. Med. Imaging 38(10), 2375–2388 (2019)

3. Dorjsembe, Z., Odonchimed, S., Xiao, F.: Three-dimensional medical image synthesis with denoising diffusion probabilistic models. In: Medical Imaging with Deep Learning (2022). https://openreview.net/forum?id=Oz7lKWVh45H

4. Goodfellow, I., et al.: Generative adversarial networks. Commun. ACM 63(11), 139–144 (2020)

5. Gretton, A., Borgwardt, K.M., Rasch, M.J., Schölkopf, B., Smola, A.: A kernel two-sample test. J. Mach. Learn. Res. 13(1), 723–773 (2012)

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