每年的科研成果
每年的科研成果
个人简介
与联合国可持续发展目标相关的专业知识
2015 年，联合国成员国同意 17 项可持续发展目标 (SDG)，以消除贫困、保护地球并确保全人类的繁荣。此人的工作有助于实现下列可持续发展目标：
指纹图谱
深入其中 Chuyang Ye 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
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A Foundation Model for Lesion Segmentation on Brain MRI with Mixture of Modality Experts
Zhang, X., Ou, N., Basaran, B. D., Visentin, M., Qiao, M., Gu, R., Matthews, P. M., Liu, Y., Ye, C. & Bai, W., 2025, (已接受/待刊) 在: IEEE Transactions on Medical Imaging.科研成果: 期刊稿件 › 文章 › 同行评审
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Artificial intelligence in medical imaging: From task-specific models to large-scale foundation models
Bian, Y., Li, J., Ye, C., Jia, X. & Yang, Q., 2025, (已接受/待刊) 在: Chinese Medical Journal. 10.1097/CM9.0000000000003489.科研成果: 期刊稿件 › 文献综述 › 同行评审
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Attention-Based Q-Space Deep Learning Generalized for Accelerated Diffusion Magnetic Resonance Imaging
Zong, F., Zhu, Z., Zhang, J., Deng, X., Li, Z., Ye, C. & Liu, Y., 2025, 在: IEEE Journal of Biomedical and Health Informatics. 29, 2, 页码 1176-1188 13 页码科研成果: 期刊稿件 › 文章 › 同行评审
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HMDA: A Hybrid Model with Multi-Scale Deformable Attention for Medical Image Segmentation
Wu, M., Liu, T., Dai, X., Ye, C., Wu, J., Funahashi, S. & Yan, T., 2025, 在: IEEE Journal of Biomedical and Health Informatics. 29, 2, 页码 1243-1255 13 页码科研成果: 期刊稿件 › 文章 › 同行评审
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Improved Stroke Lesion Segmentation via Cross-Model Knowledge Distillation
Liu, Z., Pang, H., Zhang, X. & Ye, C., 2025, Image Analysis in Stroke Diagnosis and Interventions - 4th International Workshop, SWITCH 2024, and 6th International Challenge, ISLES 2024, Held in Conjunction with MICCAI 2024, Proceedings. Su, R., Ruijters, D., de la Rosa, E., Rist, L., Heylen, E., te Nijenhuis, F., van Walsum, T., Schirmer, M. D., McKinley, R., Wiest, R. & Wegener, S. (编辑). Springer Science and Business Media Deutschland GmbH, 页码 40-50 11 页码 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 15408 LNCS).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
