标题: Yanye Lu's Publication List  
作者: Yanye Lu 3月 22, 2025
最后修改：: Yanye Lu 3月 24, 2025
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Yanye Lu (1)
    主页: Yanye Lu‘s Homepage
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    https://doi.org/10.1016/j.optcom.2019.05.017
    https://github.com/BICLab/Spike2Former
    https://doi.org/10.1088/1612-202X/abf5ce
    https://doi.org/10.34133/hds.0170
    https://github.com/zh460045050/V2L-Tokenizer
    git.milab.wiki/GMF/cncl_medical_image_denoising
    https://doi.org/10.1088/1361-6560/ac5ed7
    https://papers.neurips.cc/paper_files/paper/2024/file/1716d…
    https://doi.org/10.1016/j.eswa.2024.126370
    https://doi.org/10.1364/BOE.465991
    https://wiki.milab.wiki/pages/viewpage.action?pageId=562111…
    https://arxiv.org/abs/2108.02451
    https://doi.org/10.1016/j.eswa.2024.125478
    https://arxiv.org/abs/2403.07874
    https://doi.org/10.1007/978-3-031-20080-9_11
    https://doi.org/10.1002/mp.13317
    https://doi.org/10.1109/CVPR46437.2021.00128
    https://mp.weixin.qq.com/s/nPbIkKbOdR6tk_4jfXicuw
    https://doi.org/10.1364/BOE.387807
    https://wiki.milab.wiki/pages/viewpage.action?pageId=527248…
    https://doi.org/10.1002/mp.15618
    https://doi.org/10.1364/BOE.379551
    https://doi.org/10.1609/aaai.v38i7.28563
    https://doi.org/10.1088/1361-6560/ad708c
    doi.org/10.1002/jbio.202100151
    https://doi.org/10.1186/s12938-018-0556-7
    https://github.com/riverback/riverback.github.io/blob/maste…
    https://github.com/zh460045050/BCAM
    https://doi.org/10.1109/TMI.2021.3113365
    https://arxiv.org/abs/2302.11544
    https://doi.org/10.1016/j.aej.2020.03.009
    https://doi.org/10.1109/CVPR52733.2024.02554
    https://github.com/neugmd/FundusData-FS
    https://bmvc2022.mpi-inf.mpg.de/61/
    https://arxiv.org/abs/2106.12284
    https://github.com/zh460045050/DA-WSOL_CVPR2022
    https://arxiv.org/abs/2406.11837
    https://doi.org/10.1016/j.nanoen.2024.109425
    wiki.milab.wiki/pages/viewpage.action?pageId=39190770
    https://github.com/QianChen98/CCLD-Net
    https://github.com/zh460045050/BagCAMs
    https://doi.org/10.1186/s12938-019-0682-x
    https://doi.org/10.1016/j.compmedimag.2022.102164
    https://github.com/zh460045050/VQGAN-LC
    https://wiki.milab.wiki/pages/viewpage.action?pageId=379987…
    https://doi.org/10.1109/TMI.2020.3031617
    https://arxiv.org/abs/2207.07818
    https://doi.org/10.1109/ICCV48922.2021.01207
    https://doi.org/10.1109/TNNLS.2022.3202241
    https://arxiv.org/abs/2412.14587
    https://openaccess.thecvf.com/content/CVPR2022/papers/Zhu_W…
    https://doi.org/10.1109/TNNLS.2024.3467132
    https://github.com/PPOLYpubki/RD3D
    https://github.com/riverback/V2C-CBM
    https://doi.org/10.1002/jbio.202000282
    https://github.com/MILab-PKU/dcpt
    https://github.com/zh460045050/dawsol
    https://doi.org/10.1109/TMI.2020.3035154
    https://doi.org/10.1002/jbio.201900008
    https://doi.org/10.1002/jbio.202100285
    https://doi.org/10.1186/s12938-018-0615-0
    https://github.com/zh460045050/SNL_ICCV2021/
    https://arxiv.org/abs/2501.04975
    https://doi.org/10.1016/j.omto.2022.12.002
    https://doi.org/10.1007/s11263-023-01887-7
    https://doi.org/10.1364/BOE.397750
    https://doi.org/10.1016/j.compmedimag.2022.102110
    https://tianchi.aliyun.com/dataset/dataDetail?dataId=133217
    https://doi.org/10.1109/TPAMI.2024.3411036
    https://doi.org/10.1002/mp.15799
    https://doi.org/10.1007/978-3-031-75653-5_5
    https://doi.org/10.1016/j.media.2023.102884
    https://github.com/Zxl19990529/Class-driven-Scribble-Promot…
    https://arxiv.org/abs/2501.15510
    https://doi.org/10.1007/s11548-018-1851-2
    https://github.com/gengmufeng/TCFL-OCT
    https://arxiv.org/abs/2203.01714
    https://doi.org/10.1109/TRPMS.2018.2805328
    https://wiki.milab.wiki/pages/viewpage.action?pageId=436869…
    https://doi.org/10.1364/BOE.521453
    https://doi.org/10.1109/TMI.2022.3184529
    https://github.com/LujiaJin/One-Pot_Multi-Frame_Denoising
    https://wiki.milab.wiki/pages/viewpage.action?pageId=562043…
    https://doi.org/10.1109/TPAMI.2023.3309621
    https://doi.org/10.3389/fonc.2023.1129918
    https://github.com/neugmd/BLRM
    https://doi.org/10.1364/BOE.517757
    https://github.com/gengmufeng/CNCL-denoising
    https://doi.org/10.1007/978-3-031-72111-3_36
News Cluster (16)     页面: MILab提出一种OCT脉络膜结构分割方法（PMB）
    页面: MILab提出一种适用于多帧图像去噪的新型无监督学习策略（BMVC）
    页面: MILab在无监督OCT降噪策略上取得进展（Jbio）
    页面: MILab提出一种新型信号-噪声互补学习策略用于医学图像去噪（TMI）
    页面: MILab提出一种兆赫兹多参数的全眼OCT成像系统（BOE）
    页面: MILab提出基于集成类激活图的弱监督定位新方法（ECCV）
    页面: MILab在多模态眼底成像研究上取得重要进展（BOE）
    页面: MILab提出轻量级Transformer用于OCT图像的同时去噪和分辨率增强（BOE）
    页面: MILab 提出一种新型激光散斑成像算法（CMIG）
    页面: MILab提出一种半监督深度神经网络用于光学相干层析图像去噪增强研究（Jbio）
    页面: MILab提出一种弱监督物体定位新方法（CVPR2022）
    页面: MILab在光学相干层析血管造影成像研究方面取得系列进展（TMI）
    页面: MILab提出一种新型对抗生成网络用于能谱CT多物质分解研究（TMI）
    页面: MILab提出一种用于视网膜脉络膜分析的激光散斑造影算法（LPL）
    页面: MILab提出一种基于邻域信息的深度学习OCTA重建算法（MedPhys）
    页面: MILab提出一种多模态眼功能成像新技术（Jbio）