Kelei He ( 何克磊 )
Biography
Currently, I am served as an Assistant Professor of Medical School, and the Assistant Dean of National Institute of Healthcare Data Science at Nanjing University, leading by Prof. Junfeng Zhang.
I visited IDEA Lab at the University of North Carolina at Chapel Hill, under the supervision of Prof. Dinggang Shen, funded by CSC.
I received my Ph.D. degree in the Department of Computer Science and Technology from Nanjing University, under the supervision of Prof. Yang Gao.
News
Currently, I am looking for Ph.D/Master/RA/Interns, who are interested in AI in Medicine and Life Sciences. Please feel free to drop me an email with your CV.
[08/2022] One paper "Transformers in Medical Image Analysis: A Review" was accepted at Intelligent Medicine .
[01/2022] One paper "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" was accepted at European Radiology .
[11/2021] One paper "Calcium scoring at coronary CT angiography using deep learning" was accepted at Radiology .
[09/2021] One paper "Weakly supervised segmentation of covid19 infection with scribble annotation on ct images" was accepted at Pattern Recognition .
[04/2021] One paper "HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT images" was accepted at IEEE TMI .
[03/2021] One paper "MetricUNet: Synergistic Image-and Voxel-Level Learning for Precise Prostate Segmentation via Online Sampling" was accepted at Medical Image Analysis .
[12/2020] One paper "Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images" was accepted at Pattern Recognition .
Research Interests
- AI in Medicine
- Deep Learning
Preprint
Journal Papers
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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*
Intelligent Medicine, 2022 , doi: 10.1016/j.imed.2022.07.002.
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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
Chong Jiang#, Kai Chen#, Yue Teng, Chongyang Ding, Zhengyang Zhou, Yang Gao, Junhua Wu, Jian He*, Kelei He*, Junfeng Zhang
European Radiology, 2022 , doi: 10.1007/s00330-022-08573-1.
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Calcium Scoring at Coronary CT Angiography Using Deep Learning
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*
Radiology, 2022 , 302: 309–316.
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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 Recognition, 2021 , 113: 107828.
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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*
IEEE Transactions on Medical Imaging, IEEE TMI, 2021, DOI: 10.1109/TMI.2021.3072956.
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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 Analysis, 2021, 7(71), 102039.
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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 Transactions on Cybernetics, TCYB, 2021, 51(4): 2153-2165.
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Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
Shi Feng#, Wang Jun#, Shi Jun#, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen*
IEEE Reviews in Biomedical Engineering, RBME, 2020, 10.1109/RBME.2020.2987975.
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Evaluation of PET/MRI for Tumor Volume Delineation for Head and Neck Cancer
KyleWang, 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*
Frontiers in Oncology, 2017,, 7:8.
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Conference Papers
