Kelei He

According to our database, Kelei He authored at least 26 papers between 2019 and 2025.

Collaborative distances:

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

2025

Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation.

Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu

Pattern Recognit., 2025

2024

One-step Structure Prediction and Screening for Protein-Ligand Complexes using Multi-Task Geometric Deep Learning.

Kelei He, Tiejun Dong, Jinhui Wu, Junfeng Zhang

CoRR, 2024

7T-Like T1-Weighted and TOF MRI Synthesis from 3T MRI with Multi-contrast Complementary Deep Learning.

Zheng Zhang, Zechen Zhou, Lei Xiang, Kelei He, Zhiqing Zhu, Xingang Wang, Zhiming Zeng, Hongqin Liang, Chen Liu

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Hybrid Sharing for Multi-Label Image Classification.

Zihao Yin, Chen Gan, Kelei He, Yang Gao, Junfeng Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Diving Segmentation Model into Pixels.

Chen Gan, Zihao Yin, Kelei He, Yang Gao, Junfeng Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis.

Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen

IEEE Trans. Medical Imaging, November, 2023

Cross-level Feature Aggregation Network for Polyp Segmentation.

Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen

Pattern Recognit., August, 2023

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation.

Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu

CoRR, 2023

2022

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images.

Xiaoming Liu, Quan Yuan, Yaozong Gao, Kelei He, Shuo Wang, Xiao Tang, Jinshan Tang, Dinggang Shen

Pattern Recognit., 2022

SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis.

Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen

CoRR, 2022

Transformers in Medical Image Analysis: A Review.

Kelei He, Chen Gan, Zhuoyuan Li, Islem Rekik, Zihao Yin, Wen Ji, Yang Gao, Qian Wang, Junfeng Zhang, Dinggang Shen

CoRR, 2022

2021

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images.

Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen

IEEE Trans. Medical Imaging, 2021

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation.

Jie Xue, Kelei He, Dong Nie, Ehsan Adeli, Zhenshan Shi, Seong-Whan Lee, Yuanjie Zheng, Xiyu Liu, Dengwang Li, Dinggang Shen

IEEE Trans. Cybern., 2021

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.

Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen

Pattern Recognit., 2021

MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.

Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen

Medical Image Anal., 2021

Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation.

Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang

CoRR, 2021

2020

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation.

Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen

CoRR, 2020

TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation.

Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen

CoRR, 2020

Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images.

Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen

CoRR, 2020

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.

Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen

CoRR, 2020

Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.

Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition.

Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.

Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao, Dinggang Shen

IEEE Trans. Medical Imaging, 2019

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.

Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen

Medical Image Anal., 2019

MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification.

Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, Dinggang Shen

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Hierarchical Representation For Ct Prostate Segmentation.

Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019