Hierarchical Representation For Ct Prostate Segmentation. - Shuai Wang 002; Kelei He; Dong Nie; Sihang Zhou 001; Yaozong Gao; Dinggang Shen (ISBI, 2019)

MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification. - Kelei He; Jing Huo; Yinghuan Shi; Yang Gao 001; Dinggang Shen (PRICAI (1), 2019)

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation. - Shuai Wang 002; Kelei He; Dong Nie; Sihang Zhou 001; Yaozong Gao; Dinggang Shen (Medical Image Anal., 2019)

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks. - Kelei He; Xiaohuan Cao; Yinghuan Shi; Dong Nie; Yang Gao 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition. - Wen Ji; Kelei He; Jing Huo; Zheng Gu 001; Yang Gao 001 (ECCV (8), 2020)

Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. - Tiexin Qin; Ziyuan Wang; Kelei He; Yinghuan Shi; Yang Gao 001; Dinggang Shen (ICASSP, 2020)

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. - Feng Shi 001; Jun Wang 024; Jun Shi 004; Ziyan Wu 001; Qian Wang 001; Zhenyu Tang 002; Kelei He; Yinghuan Shi; 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 040; Xingzhi Xie; Wen Ji; Mingxia Liu 001; Zhenyu Tang 002; Feng Shi 001; Yang Gao 001; Jun Liu 075; 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 001; Jing Huo; Yinghuan Shi; Yang Gao 001; Bing Zhang 012; Junfeng Zhang; Dinggang Shen (CoRR, 2020)

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation. - Kelei He; Chunfeng Lian; Bing Zhang 012; Xin Zhang 013; Xiaohuan Cao; Dong Nie; Yang Gao 001; Junfeng Zhang; Dinggang Shen (CoRR, 2020)

Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation. - Kelei He; Wen Ji; Tao Zhou 002; Zhuoyuan Li; Jing Huo; Xin Zhang 013; Yang Gao 001; Dinggang Shen; Bing Zhang 012; Junfeng Zhang (CoRR, 2021)

MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. - Kelei He; Chunfeng Lian; Ehsan Adeli 001; Jing Huo; Yang Gao 001; Bing Zhang 012; Junfeng Zhang; Dinggang Shen (Medical Image Anal., 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 040; Xingzhi Xie; Wen Ji; Mingxia Liu 001; Zhenyu Tang 002; Yinghuan Shi; Feng Shi 001; Yang Gao 001; Jun Liu 075; Junfeng Zhang; Dinggang Shen (Pattern Recognit., 2021)

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation. - Jie Xue 001; Kelei He; Dong Nie; Ehsan Adeli 001; Zhenshan Shi; Seong-Whan Lee; Yuanjie Zheng; Xiyu Liu 001; Dengwang Li; Dinggang Shen (IEEE Trans. Cybern., 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 012; Xin Zhang 013; Xiaohuan Cao; Dong Nie; Yang Gao 001; Junfeng Zhang; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Transformers in Medical Image Analysis: A Review. - Kelei He; Chen Gan; Zhuoyuan Li; Islem Rekik; Zihao Yin; Wen Ji; Yang Gao 001; Qian Wang 001; Junfeng Zhang; Dinggang Shen (CoRR, 2022)

SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis. - Yonghao Li; Tao Zhou 002; Kelei He; Yi Zhou 007; Dinggang Shen (CoRR, 2022)

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images. - Xiaoming Liu 004; Quan Yuan; Yaozong Gao; Kelei He; Shuo Wang; Xiao Tang; Jinshan Tang; Dinggang Shen (Pattern Recognit., 2022)

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation. - Yunqi Gu; Tao Zhou 002; Yizhe Zhang 001; Yi Zhou 007; Kelei He; Chen Gong 002; Huazhu Fu (CoRR, 2023)

Cross-level Feature Aggregation Network for Polyp Segmentation. - Tao Zhou 002; Yi Zhou 007; Kelei He; Chen Gong 002; Jian Yang 003; Huazhu Fu; Dinggang Shen (Pattern Recognit., 2023)

Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis. - Yonghao Li; Tao Zhou 002; Kelei He; Yi Zhou 007; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Diving Segmentation Model into Pixels. - Chen Gan; Zihao Yin; Kelei He; Yang Gao 001; Junfeng Zhang (ICLR, 2024)

Hybrid Sharing for Multi-Label Image Classification. - Zihao Yin; Chen Gan; Kelei He; Yang Gao 001; Junfeng Zhang (ICLR, 2024)

7T-Like T1-Weighted and TOF MRI Synthesis from 3T MRI with Multi-contrast Complementary Deep Learning. - Zheng Zhang 046; Zechen Zhou; Lei Xiang; Kelei He; Zhiqing Zhu; Xingang Wang; Zhiming Zeng; Hongqin Liang; Chen Liu 026 (MLMI@MICCAI (1), 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)

Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study. - Lili Huang; Zhuoyuan Li; Xiaolei Zhu; Hui Zhao; Chenglu Mao; Zhihong Ke; Yuting Mo; Dan Yang; Yue Cheng; Ruomeng Qin; Zheqi Hu; Pengfei Shao; et al. (npj Digit. Medicine, 2025)

Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. - Yunqi Gu; Tao Zhou 002; Yizhe Zhang 001; Yi Zhou 007; Kelei He; Chen Gong 002; Huazhu Fu (Pattern Recognit., 2025)