Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

Author:

Frisch Yannik,Fuchs Moritz,Sanner Antoine,Ucar Felix Anton,Frenzel Marius,Wasielica-Poslednik Joana,Gericke Adrian,Wagner Felix Mathias,Dratsch Thomas,Mukhopadhyay Anirban

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Al Hajj, H., et al.: CATARACTS: challenge on automatic tool annotation for cataRACT surgery. Med. Image Anal. 52, 24–41 (2019)

2. Bińkowski, M., Sutherland, D.J., Arbel, M., Gretton, A.: Demystifying MMD GANs. arXiv preprint arXiv:1801.01401 (2018)

3. Chen, X., Mishra, N., Rohaninejad, M., Abbeel, P.: PixelSNAIL: an improved autoregressive generative model. In: International Conference on Machine Learning, pp. 864–872. PMLR (2018)

4. Dhariwal, P., Nichol, A.: Diffusion models beat GANs on image synthesis. In: Advances in Neural Information Processing Systems, vol. 34, pp. 8780–8794 (2021)

5. Dorjsembe, Z., Odonchimed, S., Xiao, F.: Three-dimensional medical image synthesis with denoising diffusion probabilistic models. In: Medical Imaging with Deep Learning (2022)

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