Nanjun He

According to our database, Nanjun He authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cross-Modal Vertical Federated Learning for MRI Reconstruction.

Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng

IEEE J. Biomed. Health Informatics, November, 2024

Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training.

Qingsong Xie, Yuexiang Li, Nanjun He, Munan Ning, Kai Ma, Guoxing Wang, Yong Lian, Yefeng Zheng

IEEE Trans. Medical Imaging, January, 2024

Improving vision transformer for medical image classification via token-wise perturbation.

Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng

J. Vis. Commun. Image Represent., 2024

2023

A deep weakly semi-supervised framework for endoscopic lesion segmentation.

Yuxuan Shi, Hong Wang, Haoqin Ji, Haozhe Liu, Yuexiang Li, Nanjun He, Dong Wei, Yawen Huang, Qi Dai, Jianrong Wu, Xinrong Chen, Yefeng Zheng, Hongmeng Yu

Medical Image Anal., December, 2023

MIL-ViT: A multiple instance vision transformer for fundus image classification.

Qi Bi, Xu Sun, Shuang Yu, Kai Ma, Cheng Bian, Munan Ning, Nanjun He, Yawen Huang, Yuexiang Li, Hanruo Liu, Yefeng Zheng

J. Vis. Commun. Image Represent., December, 2023

Cross-Modal Vertical Federated Learning for MRI Reconstruction.

Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng

CoRR, 2023

Improving GAN Training via Feature Space Shrinkage.

Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

CoRR, 2023

A New Perspective to Boost Vision Transformer for Medical Image Classification.

Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng

CoRR, 2023

AdaptiveMix: Improving GAN Training via Feature Space Shrinkage.

Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images.

Hong Wang, Yuexiang Li, Nanjun He, Kai Ma, Deyu Meng, Yefeng Zheng

IEEE Trans. Medical Imaging, 2022

A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays.

Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng

CoRR, 2022

Robust Representation via Dynamic Feature Aggregation.

Haozhe Liu, Haoqin Ji, Yuexiang Li, Nanjun He, Haoqian Wu, Feng Liu, Linlin Shen, Yefeng Zheng

CoRR, 2022

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images.

Wentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Nanjun He, Feng Liu, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation.

Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification.

Yuexiang Li, Nanjun He, Yawen Huang

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays.

Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features.

He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng

IEEE Trans. Medical Imaging, 2021

Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification.

Jie Xie, Nanjun He, Leyuan Fang, Pedram Ghamisi

IEEE Trans. Circuits Syst. Video Technol., 2021

Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification.

Ran Cao, Leyuan Fang, Ting Lu, Nanjun He

IEEE Geosci. Remote. Sens. Lett., 2021

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.

Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Reinforcement Exemplar Learning for Annotation Refinement.

Yuexiang Li, Nanjun He, Sixiang Peng, Kai Ma, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Skip-Connected Covariance Network for Remote Sensing Scene Classification.

Nanjun He, Leyuan Fang, Shutao Li, Javier Plaza, Antonio Plaza

IEEE Trans. Neural Networks Learn. Syst., 2020

Multiscale CNNs Ensemble Based Self-Learning for Hyperspectral Image Classification.

Leyuan Fang, Wenke Zhao, Nanjun He, Jian Zhu

IEEE Geosci. Remote. Sens. Lett., 2020

Hybrid first and second order attention Unet for building segmentation in remote sensing images.

Nanjun He, Leyuan Fang, Antonio Plaza

Sci. China Inf. Sci., 2020

2019

Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification.

Jie Xie, Nanjun He, Leyuan Fang, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2019

Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification.

Nanjun He, Mercedes Eugenia Paoletti, Juan Mario Haut, Leyuan Fang, Shutao Li, Antonio Plaza, Javier Plaza

IEEE Trans. Geosci. Remote. Sens., 2019

High-Order Self-Attention Network for Remote Sensing Scene Classification.

Nanjun He, Leyuan Fang, Yi Li, Antonio Plaza

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling.

Nanjun He, Leyuan Fang, Shutao Li, Antonio Plaza, Javier Plaza

IEEE Trans. Geosci. Remote. Sens., 2018

A New Spatial-Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation.

Leyuan Fang, Nanjun He, Shutao Li, Antonio J. Plaza, Javier Plaza

IEEE Trans. Geosci. Remote. Sens., 2018

Extinction Profiles Fusion for Hyperspectral Images Classification.

Leyuan Fang, Nanjun He, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson

IEEE Trans. Geosci. Remote. Sens., 2018

Covariance Matrix Based Feature Fusion for Scene Classification.

Nanjun He, Leyuan Fang, Shutao Li, Antonio J. Plaza

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Hyperspectral images classification by fusing extinction profiles feature.

Nanjun He, Leyuan Fang, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017