受强制性开放获取政策约束的文章 - Linhao Qu了解详情
无法在其他位置公开访问的文章：3 篇
A structure-aware framework of unsupervised cross-modality domain adaptation via frequency and spatial knowledge distillation
S Liu, S Yin, L Qu, M Wang, Z Song
IEEE Transactions on Medical Imaging, 2023
强制性开放获取政策： 国家自然科学基金委员会
AIM-MEF: Multi-exposure image fusion based on adaptive information mining in both spatial and frequency domains
L Qu, S Yin, S Liu, X Liu, M Wang, Z Song
Expert Systems with Applications 223, 119909, 2023
强制性开放获取政策： 国家自然科学基金委员会
Wavelet-based self-supervised learning for multi-scene image fusion
S Liu, L Qu, Q Qiao, M Wang, Z Song
Neural Computing and Applications 34 (18), 15689-15704, 2022
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：8 篇
Transmef: A transformer-based multi-exposure image fusion framework using self-supervised multi-task learning
L Qu, S Liu, M Wang, Z Song
Proceedings of the AAAI conference on artificial intelligence 36 (2), 2126-2134, 2022
强制性开放获取政策： 国家自然科学基金委员会
Towards label-efficient automatic diagnosis and analysis: a comprehensive survey of advanced deep learning-based weakly-supervised, semi-supervised and self-supervised …
L Qu, S Liu, X Liu, M Wang, Z Song
Physics in Medicine & Biology 67 (20), 20TR01, 2022
强制性开放获取政策： 国家自然科学基金委员会
Dgmil: Distribution guided multiple instance learning for whole slide image classification
L Qu, X Luo, S Liu, M Wang, Z Song
International Conference on Medical Image Computing and Computer-Assisted …, 2022
强制性开放获取政策： 国家自然科学基金委员会
Bi-directional weakly supervised knowledge distillation for whole slide image classification
L Qu, M Wang, Z Song
Advances in Neural Information Processing Systems 35, 15368-15381, 2022
强制性开放获取政策： 国家自然科学基金委员会
Prediction model of hemorrhage transformation in patient with acute ischemic stroke based on multiparametric MRI radiomics and machine learning
Y Meng, H Wang, C Wu, X Liu, L Qu, Y Shi
Brain Sciences 12 (7), 858, 2022
强制性开放获取政策： 国家自然科学基金委员会
Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning
L Qu, S Liu, M Wang, Z Song
Information Fusion 92, 389-403, 2023
强制性开放获取政策： 国家自然科学基金委员会
Reducing domain gap in frequency and spatial domain for cross-modality domain adaptation on medical image segmentation
S Liu, S Yin, L Qu, M Wang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1719-1727, 2023
强制性开放获取政策： 国家自然科学基金委员会
Openal: An efficient deep active learning framework for open-set pathology image classification
L Qu, Y Ma, Z Yang, M Wang, Z Song
International Conference on Medical Image Computing and Computer-Assisted …, 2023
强制性开放获取政策： 国家自然科学基金委员会
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