| 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 | 87 | 2022 |
| 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 | 35 | 2022 |
| 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 | 32 | 2022 |
| 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 | 22 | 2022 |
| Pos-bert: Point cloud one-stage bert pre-training K Fu, P Gao, SL Liu, L Qu, L Gao, M Wang Expert Systems with Applications 240, 122563, 2024 | 20 | 2024 |
| TransFuse: A unified transformer-based image fusion framework using self-supervised learning L Qu, S Liu, M Wang, S Li, S Yin, Q Qiao, Z Song arXiv preprint arXiv:2201.07451, 2022 | 18 | 2022 |
| 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 | 12 | 2022 |
| 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 | 10 | 2023 |
| 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 | 8 | 2023 |
| Rethinking multiple instance learning for whole slide image classification: A good instance classifier is all you need L Qu, Y Ma, X Luo, M Wang, Z Song arXiv preprint arXiv:2307.02249, 2023 | 5 | 2023 |
| Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation X Liu, L Qu, Z Xie, J Zhao, Y Shi, Z Song arXiv preprint arXiv:2303.00232, 2023 | 5 | 2023 |
| 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 | 5 | 2022 |
| 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 | 4 | 2023 |
| 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 | 4 | 2023 |
| The rise of ai language pathologists: Exploring two-level prompt learning for few-shot weakly-supervised whole slide image classification L Qu, K Fu, M Wang, Z Song Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Trans2Fuse: Empowering image fusion through self-supervised learning and multi-modal transformations via transformer networks L Qu, S Liu, M Wang, S Li, S Yin, Z Song Expert Systems with Applications 236, 121363, 2024 | 3 | 2024 |
| Negative instance guided self-distillation framework for whole slide image analysis X Luo, L Qu, Q Guo, Z Song, M Wang IEEE Journal of Biomedical and Health Informatics, 2023 | 3 | 2023 |
| Label correlation transformer for automated chest X-ray diagnosis with reliable interpretability Z Sun, L Qu, J Luo, Z Song, M Wang La radiologia medica 128 (6), 726-733, 2023 | 3 | 2023 |
| Boosting whole slide image classification from the perspectives of distribution, correlation and magnification L Qu, Z Yang, M Duan, Y Ma, S Wang, M Wang, Z Song Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images Q Guo, L Qu, J Zhu, H Li, Y Wu, S Wang, M Yu, J Wu, H Wen, X Ju, ... Modern Pathology 36 (12), 100316, 2023 | 2 | 2023 |
