Journal Papers：
[1] Kelei He#, Wei Zhao#, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu*, Junfeng Zhang*, Dinggang Shen*, Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images[J]. Pattern Recognition, 2021, 113: 107828.（ESI高被引）
[2] Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang*, Dinggang Shen*. HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation[J]. IEEE Transactions on Medical Imaging, 2021, 40(8): 2118-2128.
[3] Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang*, Dinggang Shen*, Synergistic Image- and Voxel-Level Learning for Precise Prostate Segmentation via Online Sampling[J]. Medical Image Analysis, 2021, 7(71), 102039.
[4] Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao*, Dinggang Shen*, Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks[J]. IEEE Transactions on Medical Imaging, 2019, 38(2):585-595. （ESI高被引）
[5] Kelei He#, Chen Gan#, Zhuoyuan Li#, Islem Rekik#, Zihao Yin, Wen Ji, Yang Gao, Qian Wang*, Junfeng Zhang*, Dinggang Shen*, Transformers in Medical Image Analysis: A Review[J]. Intelligent Medicine, 2023, 3(1): 59-78.
[6] Shuai Wang#, Kelei He#, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen*, CT Male Pelvic Organ Segmentation using Fully Convolutional Networks with boundary sensitive representation[J]. Medical Image Analysis, 2019, 54: 168-178.
[7] Chong Jiang#, Kai Chen#, Yue Teng, Chongyang Ding, Zhengyang Zhou, Yang Gao, Junhua Wu, Jian He*,Kelei He*, Junfeng Zhang, Deep learning–based tumour segmentation and total metabolic tumour volume prediction in the prognosis of diffuse large B-cell lymphoma patients in 3D FDG-PET images[J]. European Radiology, 2022,32(7): 4801-4812.
[8] Jingjing Hu#, Zhao Qing#, Renyuan Liu, Xin Zhang, Yang Wang, Kelei He*, Yang Gao, Bing Zhang*, Deep Learning-based Classification and Voxel-based Visualization of Frontotemporal Dementia and Alzheimer’s Disease[J]. Frontiers in Neuroscience, 2021, vol. 14 626154. 21.
[9] Zhong He#, Yimu Wang#, Xiaodong Qin#, Rui Yin, Yong Qiu, Kelei He*, Zezhang Zhu*. Classification of Neurofibromatosis-related Dystrophic or Nondystrophic Scoliosis Based on Image-Features using Bilateral CNN[J]. Medical Physics, 2021, 48(4): 1571-1583.
[10] Jie Xue, Kelei He, Dong Nie, Ehsan Adeli, Zhenshan Shi, Seong-Whan Lee, Yuanjie Zheng, Xiyu Liu, Dengwang Li, Dinggang Shen*, Cascaded Multi-Task 3D Fully Convolutional Networks for Pancreas Segmentation[J]. IEEE Transactions on Cybernetics, 2021, 51(4): 2153-2165.
[11] Dan Mu#, Junjie Bai#, Wenping Chen, Hongming Yu, Jing Liang, Kejie Yin, Hui Li, Zhao Qing, Kelei He, Hao-Yu Yang, Jinyao Zhang, Youbing Yin, Hunter W McLellan, U Joseph Schoepf, Bing Zhang*. Calcium scoring at coronary CT angiography using deep learning[J]. Radiology, 2021: 211483.
[12] Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen, Multi-scale transformer network with edge-aware pre-training for cross-modality MR image synthesis[J]. IEEE Transactions on Medical Imaging, 2023, 11(42): 3395 - 3407.
[13] Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen, Cross-level feature aggregation network for polyp segmentation[J]. Pattern Recognition, 2023, 140: 109555. （ESI高被引）
[14] Xiaoming Liu*, Quan Yuan, Yaozong Gao, Kelei He, Shuo Wang, Xiao Tang, Jinshan Tang, Dinggang Shen*. Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images[J]. Pattern Recognition, 2021, 108341.
[15] Shi Feng#, Wang Jun#, Shi Jun#, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen*, Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19[J]. IEEE Reviews in Biomedical Engineering, 2020, 10.1109/RBME.2020.2987975. （ESI高被引）
[16] Kyle Wang, Brandon T Mullins, Aaron D Falchook, Jun Lian, Kelei He, Dinggang Shen, Michael Dance, Weili Lin, TiffanyMSills, Shiva K Das, Benjamin Y Huang, Bhishamjit S Chera*. Evaluation of PET/MRI for Tumor Volume Delineation for Head and Neck Cancer[J]. Frontiers in Oncology, 2017, 7:8.
Conference Papers：
[17] Chen Gan, Zihao Yin, Kelei He*, Yang Gao, Junfeng Zhang. Diving Segmentation Model into Pixels[C]. The Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria, 2024.5.7-11.
[18] Zihao Yin, Chen Gan, Kelei He*, Yang Gao, Junfeng Zhang. Hybrid Sharing for Multi-Label Image Classification[C]. The Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria, 2024.5.7-11.
[19] Wen Ji#, Kelei He#*, Jing Huo*, Zheng Gu, Yang Gao, Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition[C]. European Conference on Computer Vision (ECCV), Online, 2020.8.23-28.
[20] Kelei He, Jing Huo, Yinghuan Shi, Yang Gao*, Dinggang Shen, MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification[C]. The 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI), Fiji, 2019.8.26-8.30. （Oral）
[21] Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen*, Hierarchical Representation for CT Prostate Segmentation[C]. IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, 2019.4.8-4.11. （Oral）
[22] Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi*, Yang Gao, Dinggang Shen, Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation[C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020.5.4-5.8.
