| Remote sensing scene classification using multilayer stacked covariance pooling N He, L Fang, S Li, A Plaza, J Plaza IEEE Transactions on Geoscience and Remote Sensing 56 (12), 6899-6910, 2018 | 291 | 2018 |
| Feature extraction with multiscale covariance maps for hyperspectral image classification N He, ME Paoletti, JM Haut, L Fang, S Li, A Plaza, J Plaza IEEE Transactions on Geoscience and Remote Sensing 57 (2), 755-769, 2018 | 266 | 2018 |
| Skip-connected covariance network for remote sensing scene classification N He, L Fang, S Li, J Plaza, A Plaza IEEE transactions on neural networks and learning systems 31 (5), 1461-1474, 2019 | 224 | 2019 |
| Scale-free convolutional neural network for remote sensing scene classification J Xie, N He, L Fang, A Plaza IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6916-6928, 2019 | 206 | 2019 |
| A new spatial–spectral feature extraction method for hyperspectral images using local covariance matrix representation L Fang, N He, S Li, AJ Plaza, J Plaza IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3534-3546, 2018 | 190 | 2018 |
| Self-attention-based deep feature fusion for remote sensing scene classification R Cao, L Fang, T Lu, N He IEEE Geoscience and Remote Sensing Letters 18 (1), 43-47, 2020 | 171 | 2020 |
| Mil-vt: Multiple instance learning enhanced vision transformer for fundus image classification S Yu, K Ma, Q Bi, C Bian, M Ning, N He, Y Li, H Liu, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 152 | 2021 |
| mmformer: Multimodal medical transformer for incomplete multimodal learning of brain tumor segmentation Y Zhang, N He, J Yang, Y Li, D Wei, Y Huang, Y Zhang, Z He, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 145 | 2022 |
| Extinction profiles fusion for hyperspectral images classification L Fang, N He, S Li, P Ghamisi, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 56 (3), 1803-1815, 2017 | 129 | 2017 |
| Hybrid first and second order attention Unet for building segmentation in remote sensing images N He, L Fang, A Plaza Science China Information Sciences 63, 1-12, 2020 | 118 | 2020 |
| Anomaly detection for medical images using self-supervised and translation-consistent features H Zhao, Y Li, N He, K Ma, L Fang, H Li, Y Zheng IEEE Transactions on Medical Imaging 40 (12), 3641-3651, 2021 | 100 | 2021 |
| Multiscale densely-connected fusion networks for hyperspectral images classification J Xie, N He, L Fang, P Ghamisi IEEE Transactions on Circuits and Systems for Video Technology 31 (1), 246-259, 2020 | 98 | 2020 |
| Unsupervised domain adaptation for medical image segmentation by disentanglement learning and self-training Q Xie, Y Li, N He, M Ning, K Ma, G Wang, Y Lian, Y Zheng IEEE Transactions on Medical Imaging 43 (1), 4-14, 2022 | 75 | 2022 |
| DICDNet: deep interpretable convolutional dictionary network for metal artifact reduction in CT images H Wang, Y Li, N He, K Ma, D Meng, Y Zheng IEEE Transactions on Medical Imaging 41 (4), 869-880, 2021 | 52 | 2021 |
| CP tensor-based compression of hyperspectral images L Fang, N He, H Lin JOSA A 34 (2), 252-258, 2017 | 35 | 2017 |
| Multiscale CNNs ensemble based self-learning for hyperspectral image classification L Fang, W Zhao, N He, J Zhu IEEE Geoscience and Remote Sensing Letters 17 (9), 1593-1597, 2020 | 23 | 2020 |
| MIL-ViT: A multiple instance vision transformer for fundus image classification Q Bi, X Sun, S Yu, K Ma, C Bian, M Ning, N He, Y Huang, Y Li, H Liu, ... Journal of Visual Communication and Image Representation 97, 103956, 2023 | 14 | 2023 |
| Cross-modal vertical federated learning for mri reconstruction Y Yan, H Wang, Y Huang, N He, L Zhu, Y Xu, Y Li, Y Zheng IEEE Journal of Biomedical and Health Informatics, 2024 | 13 | 2024 |
| Adaptivemix: Improving gan training via feature space shrinkage H Liu, W Zhang, B Li, H Wu, N He, Y Huang, Y Li, B Ghanem, Y Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Point beyond class: A benchmark for weakly semi-supervised abnormality localization in chest x-rays H Ji, H Liu, Y Li, J Xie, N He, Y Huang, D Wei, X Chen, L Shen, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 10 | 2022 |
Leyuan FangProfessor in College of Electrical and Information Engineering, Hunan UniversityEmail verificata su hnu.edu.cn