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Diffusion probabilistic model (DPM) recently becomes one of the hottest topic in computer vision.
Pitas, I.: Digital image processing algorithms and applications. John Wiley & Sons (2000)
2000
Earlier work this paper cites.
Warfield, S.K., Zou, K.H., Wells, W.M.: Simultaneous truth and performance level estimation (staple): an algorithm for the validation of image segmentation. IEEE transactions on medical imaging 23
2004
Earlier work this paper cites.
Pedraza, L., Vargas, C., Narváez, F., Durán, O., Muñoz, E., Romero, E.: An open access thyroid ultrasound image database. In: 10th International symposium on medical information processing and analysis. vol. 9287, pp. 188–193. SPIE (2015)
2015
Earlier work this paper cites.
Badrinarayanan, V., Kendall, A., Cipolla, R.: Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE transactions on pattern analysis and machine intelligence 39
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
Elfwing, S., Uchibe, E., Doya, K.: Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. Neural Networks 107
2018
Earlier work this paper cites.
Gu, Z., Cheng, J., Fu, H., Zhou, K., Hao, H., Zhao, Y., Zhang, T., Gao, S., Liu, J.: Ce-net: Context encoder network for 2d medical image segmentation. IEEE transactions on medical imaging 38
2019
Earlier work this paper cites.
Wang, S., Yu, L., Li, K., Yang, X., Fu, C.W., Heng, P.A.: Boundary and entropy-driven adversarial learning for fundus image segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 102–110. Springer (2019)
2019
Earlier work this paper cites.
Yu, S., Xiao, D., Frost, S., Kanagasingam, Y.: Robust optic disc and cup segmentation with deep learning for glaucoma detection. Computerized Medical Imaging and Graphics 74
2019
Earlier work this paper cites.
Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Advances in Neural Information Processing Systems 33
2020
Earlier work this paper cites.
2021
Cited alongside, same era.
2021
Cited alongside, same era.
Chu, C., Zheng, J., Zhou, Y.: Ultrasonic thyroid nodule detection method based on u-net network. Computer Methods and Programs in Biomedicine 199
2021
Cited alongside, same era.
Gong, H., Chen, G., Wang, R., Xie, X., Mao, M., Yu, Y., Chen, F., Li, G.: Multi-task learning for thyroid nodule segmentation with thyroid region prior. In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). pp. 257–261. IEEE (2021)
2021
Cited alongside, same era.
Zhao, R., Shi, Z.: Text-to-remote-sensing-image generation with structured generative adversarial networks. IEEE Geoscience and Remote Sensing Letters 19
2021
Later among the works it cites.
Zhao, R., Shi, Z., Zou, Z.: High-resolution remote sensing image captioning based on structured attention. IEEE Transactions on Geoscience and Remote Sensing 60
2021
Later among the works it cites.
2022
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Liu, C., Zhao, R., Shi, Z.: Remote-sensing image captioning based on multilayer aggregated transformer. IEEE Geoscience and Remote Sensing Letters 19
2022
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Isensee, F., Jaeger, P.F., Kohl, S.A., Petersen, J., Maier-Hein, K.H.: nnu-net: a self-configuring method for deep learning-based biomedical image segmentation. Nature methods 18
2021
Cited alongside, same era.
Ji, W., Yu, S., Wu, J., Ma, K., Bian, C., Bi, Q., Li, J., Liu, H., Cheng, L., Zheng, Y.: Learning calibrated medical image segmentation via multi-rater agreement modeling. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 12341–12351 (2021)
2021
Cited alongside, same era.
Nichol, A.Q., Dhariwal, P.: Improved denoising diffusion probabilistic models. In: International Conference on Machine Learning. pp. 8162–8171. PMLR (2021)
2021
Cited alongside, same era.
Wang, W., Chen, C., Ding, M., Yu, H., Zha, S., Li, J.: Transbts: Multimodal brain tumor segmentation using transformer. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 109–119. Springer (2021)
2021
Cited alongside, same era.
2021
Cited alongside, same era.
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
Closest in time.
2022
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Saharia, C., Ho, J., Chan, W., Salimans, T., Fleet, D.J., Norouzi, M.: Image super-resolution via iterative refinement. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)
2022
Closest in time.
Whang, J., Delbracio, M., Talebi, H., Saharia, C., Dimakis, A.G., Milanfar, P.: Deblurring via stochastic refinement. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 16293–16303 (2022)
2022
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