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成果统计

合作作者[TOP 5]

  • 王乾

    合作成果数:13

  • 沈定刚

    合作成果数:3

  • 曹茂松

    合作成果数:3

  • 孙开聪

    合作成果数:3

  • 方钰

    合作成果数:3

熊宏林 博士生
所在学院: 信息科学与技术学院
职务: --
研究方向:
备注: --
熊宏林

科研成果

14 2380 145 4 0 1
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 [1] Cai JD,Jiang HT,Shen ZR,et al. Lsa: Latent Style Augmentation Towards Stain-agnostic Cervical Cancer Screening[C]. Miccai 2025.2025-06-01.浏览/下载:71/1评论推荐收藏
 [2] Cai JD,Chen Y,Shen ZR,et al. Pathology Image Restoration Via Mixture Of Prompts[C]. International Conference On Computer Vision, Iccv 2025.2025-06-01.浏览/下载:70/2评论推荐收藏
 [3] Shen, Zhenrong.,Wang, Jing.,Huang, Haolin.,Lu, Jiaying.,Ge, Jingjie.,...&Zuo, Chuantao.(2025).Cross-modality PET image synthesis for Parkinson's Disease diagnosis: a leap from [18F]FDG to [11C]CFT.EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING,52(4),1566-1575.浏览/下载:68/3; 被引[WOS]:0; IF:8.6/8.2评论推荐收藏
 [4] Yu Fang,Honglin Xiong,Jiawei Huang,et al. Longitudinal Image Synthesis For Early Brain Development With Age Awareness[C]. The Ieee International Symposium On Biomedical Imaging.2025-01-01.浏览/下载:53/6评论推荐收藏
 [5] Yu Fang,Honglin Xiong,Jiawei Huang,et al. A Deep Learning Approach To Longitudinal Infant Mri Synthesis[C]. The Ismrm & Ismrt Annual Meeting & Exhibition.2025-01-01.浏览/下载:43/0评论推荐收藏
 [6] Wang, Yulin,Xiong, Honglin,Xie, Yi,et al. Tumsyn: A Text-guided Generalist Model For Customized Multimodal Mr Image Synthesis[C]. Foundation Models For General Medical Ai, Medagi 2024.Gewerbestrasse 11, Cham, Ch-6330, Switzerland.Springer International Publishing Ag.2025-01-01.浏览/下载:19/0; 被引[WOS]:0; IF:0.402/0.000评论推荐收藏
 [7] Wang, Yulin,Xiong, Honglin,Sun, Kaicong,et al. Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation. 2024.浏览/下载:240/1; 被引[WOS]:0评论推荐收藏
 [8] Wang, Xin.,Wang, Sheng.,Xiong, Honglin.,Xuan, Kai.,Zhuang, Zixu.,...&Wang, Qian.(2024).Spatial attention-based implicit neural representation for arbitrary reduction of MRI slice spacing.MEDICAL IMAGE ANALYSIS,94.浏览/下载:298/47; 被引[WOS]:1; IF:10.7/11.9评论推荐收藏
 [9] Xiong, Honglin,Fang, Yu,Sun, Kaicong,et al. Contrast Representation Learning From Imaging Parameters For Magnetic Resonance Image Synthesis[C]. Medical Image Computing And Computer Assisted Intervention - Miccai 2024, Pt Vii.Gewerbestrasse 11, Cham, Ch-6330, Switzerland.Springer International Publishing Ag.2024-01-01.浏览/下载:141/0; 被引[WOS]:0; IF:0.402/0.000评论推荐收藏
 [10] 王乾,曹茂松,熊宏林. 基于深度学习的医学图像分级分类方法、装置、存储介质以及终端. 2023-11-21.浏览/下载:378/4评论推荐收藏