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Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention.

, , , , , и . MICCAI (5), том 11768 из Lecture Notes in Computer Science, стр. 494-502. Springer, (2019)

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Global-Local Transformer for Brain Age Estimation., , и . CoRR, (2021)Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration., , , и . WBIR, том 7359 из Lecture Notes in Computer Science, стр. 209-219. Springer, (2012)Temporal Shape Analysis via the Spectral Signature., , , , , и . MICCAI (2), том 7511 из Lecture Notes in Computer Science, стр. 49-56. Springer, (2012)Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention., , , , , и . MICCAI (5), том 11768 из Lecture Notes in Computer Science, стр. 494-502. Springer, (2019)DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting., и . IPMI, том 5636 из Lecture Notes in Computer Science, стр. 50-62. Springer, (2009)Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework., , , , и . CVPR Workshops, стр. 125-132. IEEE Computer Society, (2009)A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer., , , , , , , , , и 6 other автор(ы). CoRR, (2024)Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16, 705 healthy MRIs across lifespan., , , , , , , , , и . Medical Image Anal., (2021)Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights., , , , и . IEEE Trans. Med. Imaging, 33 (10): 2039-2065 (2014)Brain Age Estimation Using LSTM on Children's Brain MRI., , , , , , , , и . ISBI, стр. 1-4. IEEE, (2020)