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Zhanhao Mo
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2020 – today
- 2022
- [j6]Pu Huang
, Dengwang Li, Zhicheng Jiao, Dongming Wei
, Bing Cao
, Zhanhao Mo, Qian Wang, Han Zhang, Dinggang Shen:
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network. Medical Image Anal. 79: 102472 (2022) - 2021
- [j5]Dongdong Gu, Liyun Chen, Fei Shan
, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi
, Dinggang Shen, Zhong Xue
:
Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging 21(1): 57 (2021) - [j4]Donglin Di
, Feng Shi
, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan
, Bin Song
, Shengrui Li
, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Anal. 68: 101910 (2021) - 2020
- [j3]Rui Hua
, Quan Huo, Yaozong Gao, He Sui, Bing Zhang, Yu Sun, Zhanhao Mo, Feng Shi
:
Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images. Frontiers Comput. Neurosci. 14: 9 (2020) - [j2]Liang Sun
, Zhanhao Mo
, Fuhua Yan, Liming Xia, Fei Shan
, Zhongxiang Ding, Bin Song
, Wanchun Gao, Wei Shao
, Feng Shi
, Huan Yuan, Huiting Jiang, Dijia Wu
, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang
, Dinggang Shen
:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24(10): 2798-2805 (2020) - [j1]Xi Ouyang
, Jiayu Huo
, Liming Xia, Fei Shan
, Jun Liu
, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang
, Bin Song
, Feng Shi
, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu
, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging 39(8): 2595-2605 (2020) - [c2]Maryam Ghanbari, Li-Ming Hsu, Zhen Zhou, Amir Ghanbari, Zhanhao Mo, Pew-Thian Yap, Han Zhang, Dinggang Shen:
A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease. MICCAI (7) 2020: 3-12 - [c1]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang
, Weili Lin, Dinggang Shen, Gang Li:
A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. MICCAI (7) 2020: 646-656 - [i3]Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR abs/2005.02690 (2020) - [i2]Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR abs/2005.03264 (2020) - [i1]Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph Learning for Identification of COVID-19 with CT Imaging. CoRR abs/2005.04043 (2020)
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