Kelei He

29 papers A* 2Misc 1Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study.
npj Digit. Medicine
Lili Huang, Zhuoyuan Li, Xiaolei Zhu, Hui Zhao, Chenglu Mao, Zhihong Ke, Yuting Mo, Dan Yang, Yue Cheng, Ruomeng Qin, Zheqi Hu, Pengfei Shao, Ying Chen, Min Lou, Kelei He, Yun Xu
2025 J jnl
Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation.
Pattern Recognit.
Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu
2024 — conf
7T-Like T1-Weighted and TOF MRI Synthesis from 3T MRI with Multi-contrast Complementary Deep Learning.
MLMI@MICCAI (1)
Zheng Zhang, Zechen Zhou, Lei Xiang, Kelei He, Zhiqing Zhu, Xingang Wang, Zhiming Zeng, Hongqin Liang, Chen Liu
2024 A* conf
Diving Segmentation Model into Pixels.
ICLR
Chen Gan, Zihao Yin, Kelei He, Yang Gao, Junfeng Zhang
2024 A* conf
Hybrid Sharing for Multi-Label Image Classification.
ICLR
Zihao Yin, Chen Gan, Kelei He, Yang Gao, Junfeng Zhang
2024 J jnl
One-step Structure Prediction and Screening for Protein-Ligand Complexes using Multi-Task Geometric Deep Learning.
CoRR
Kelei He, Tiejun Dong, Jinhui Wu, Junfeng Zhang
2023 J jnl
Cross-level Feature Aggregation Network for Polyp Segmentation.
Pattern Recognit.
Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen
2023 J jnl
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation.
CoRR
Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu
2023 J jnl
Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis.
IEEE Trans. Medical Imaging
Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen
2022 J jnl
SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis.
CoRR
Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen
2022 J jnl
Transformers in Medical Image Analysis: A Review.
CoRR
Kelei He, Chen Gan, Zhuoyuan Li, Islem Rekik, Zihao Yin, Wen Ji, Yang Gao, Qian Wang, Junfeng Zhang, Dinggang Shen
2022 J jnl
Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images.
Pattern Recognit.
Xiaoming Liu, Quan Yuan, Yaozong Gao, Kelei He, Shuo Wang, Xiao Tang, Jinshan Tang, Dinggang Shen
2021 J jnl
Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation.
IEEE Trans. Cybern.
Jie Xue, Kelei He, Dong Nie, Ehsan Adeli, Zhenshan Shi, Seong-Whan Lee, Yuanjie Zheng, Xiyu Liu, Dengwang Li, Dinggang Shen
2021 J jnl
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation.
CoRR
Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang
2021 J jnl
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images.
IEEE Trans. Medical Imaging
Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen
2021 J jnl
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.
Medical Image Anal.
Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen
2021 J jnl
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.
Pattern Recognit.
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
2020 Misc conf
Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.
ICASSP
Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen
2020 J jnl
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.
CoRR
Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen
2020 J jnl
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation.
CoRR
Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen
2020 J jnl
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.
CoRR
Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen
2020 J jnl
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images.
CoRR
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
2020 J jnl
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation.
CoRR
Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen
2020 — conf
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition.
ECCV (8)
Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao
2020 J jnl
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition.
CoRR
Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao
2019 J jnl
CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.
Medical Image Anal.
Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen
2019 — conf
Hierarchical Representation For Ct Prostate Segmentation.
ISBI
Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen
2019 — conf
MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification.
PRICAI (1)
Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, Dinggang Shen
2019 J jnl
Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.
IEEE Trans. Medical Imaging
Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao, Dinggang Shen