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Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network., , , , , , , , , и . MICCAI (5), том 12905 из Lecture Notes in Computer Science, стр. 721-730. Springer, (2021)Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans., , , , , , , , , и . BIBM, стр. 1188-1193. IEEE, (2023)Collaborative Learning of Cross-channel Clinical Attention for Radiotherapy-Related Esophageal Fistula Prediction from CT., , , , и . MICCAI (1), том 12261 из Lecture Notes in Computer Science, стр. 212-220. Springer, (2020)Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction., , , , , , , , , и 2 other автор(ы). MICCAI (5), том 12905 из Lecture Notes in Computer Science, стр. 657-666. Springer, (2021)