Reference List for BMSSS

发布于 2024-10-12  32 次阅读


Long, Jonathan, et al. “Fully Convolutional Networks for Semantic Segmentation.” 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, https://doi.org/10.1109/cvpr.2015.7298965.

Ronneberger, Olaf, et al. “U-Net: Convolutional Networks for Biomedical Image Segmentation.” Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, 2015, pp. 234–41, https://doi.org/10.1007/978-3-319-24574-4_28.

Chen, Jieneng et al. “TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.” ArXiv abs/2102.04306 (2021): n. pag.

Nie, Dong, et al. "ASDNet: Attention-based semi-supervised deep networks for medical image segmentation." Medical Image Computing and Computer-Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV 11. Springer International Publishing, 2018.

Li, Shuang, et al. "Domain invariant and class discriminative feature learning for visual domain adaptation." IEEE Transactions on Image Processing 27.9 (2018): 4260-4273.

Gao, Shangqi, et al. "BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability." Medical Image Analysis 89 (2023): 102889.

Cao, Hu, et al. "Swin-unet: Unet-like pure transformer for medical image segmentation." European Conference on Computer Vision. Cham: Springer Nature Switzerland, 2022.

Zhang, Linfeng, et al. "Be your own teacher: Improve the performance of convolutional neural networks via self-distillation." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2019.

Yamlahi, Amine, et al. "Self-distillation for surgical action recognition." International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2023.

He, Kaiming, et al. "Identity mappings in deep residual networks." Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part IV 14. Springer International Publishing, 2016.

Jardim, Sandra, João António, and Carlos Mora. "Image thresholding approaches for medical image segmentation – short literature review." Procedia Computer Science 219 (2023): 1485-1492.

Shrivastava, Neeraj, and Jyoti Bharti. "Automatic seeded region growing image segmentation for medical image segmentation: a brief review." International Journal of Image and Graphics 20.03 (2020): 2050018.

Yu-Qian, Zhao, et al. "Medical images edge detection based on mathematical morphology." 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2006.

Li, Bing Nan, et al. "Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation." Computers in Biology and Medicine 41.1 (2011): 1-10.

Mostafa, Abdalla, et al. "Enhanced region growing segmentation for CT liver images." The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt. Springer International Publishing, 2016.

Vaswani, Ashish, et al. "Attention is all you need." Advances in Neural Information Processing Systems 30 (2017).

Petit, Olivier, et al. "U-net transformer: Self and cross-attention for medical image segmentation." Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings 12. Springer International Publishing, 2021.

Abdi, Hervé, and Lynne J. Williams. "Principal component analysis." Wiley Interdisciplinary Reviews: Computational Statistics 2.4 (2010): 433-459.

Lee, Te-Won, and Te-Won Lee. Independent component analysis. Springer US, 1998.

Reynolds, Douglas A. "Gaussian mixture models." Encyclopedia of Biometrics 741 (2009): 659-663.

Eddy, Sean R. "Hidden Markov models." Current Opinion in Structural Biology 6.3 (1996): 361-365.

Liu, et al. "Ms-net: Multi-site network for improving prostate segmentation with heterogeneous MRI data." IEEE Transactions on Medical Imaging, 2020.

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最后更新于 2024-10-12