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ORCIDQingmao Hu
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Publications
- 2020
[j32]Ahmed Elazab
, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Qingmao Hu, Tianfu Wang, Chunqi Chang, Baiying Lei:
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. Neural Networks 132: 321-332 (2020)- 2019
- [j31]Ahmed El-Azab, Ahmed M. Anter, Hongmin Bai, Qingmao Hu, Zakir Hussain, Dong Ni, Tianfu Wang, Baiying Lei:
An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects. Appl. Soft Comput. 80: 617-627 (2019) - 2018
- [j26]Ahmed El-Azab, Yousry M. AbdulAzeem, Ahmed M. Anter, Qingmao Hu, Tianfu Wang, Baiying Lei:
Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review. IEEE Access 6: 30663-30679 (2018) - [c21]Ahmed El-Azab, Hongmin Bai, Mengya Yang, Qingmao Hu, Minh Hung Le, Tianfu Wang, Baiying Lei:
A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment. EMBC 2018: 758-761 - 2017
- [j24]Tianqiao Zhang, Ahmed El-Azab, Xiaogang Wang, Fucang Jia, Jianhuang Wu, Guanglin Li, Qingmao Hu:
A Novel Technique for Robust and Fast Segmentation of Corneal Layer Interfaces Based on Spectral-Domain Optical Coherence Tomography Imaging. IEEE Access 5: 10352-10363 (2017) - [j23]Changmiao Wang, Ahmed El-Azab, Jianhuang Wu, Qingmao Hu:
Lung nodule classification using deep feature fusion in chest radiography. Comput. Medical Imaging Graph. 57: 10-18 (2017) - [c20]Ahmed El-Azab, Hongmin Bai, Xiaodong Zhang, Qingmao Hu:
Low grade glioma growth modeling considering chemotherapy and radiotherapy effects from magnetic resonance images. EMBC 2017: 3077-3080 - [c19]Xiaodong Zhang, Ahmed El-Azab, Qingmao Hu:
Segmentation of hyper-acute cerebral infarct based on random forest and sparse coding from diffusion weighted imaging. EMBC 2017: 3425-3428 - 2015
- [j21]Ahmed El-Azab, Changmiao Wang, Fucang Jia, Jianhuang Wu, Guanglin Li, Qingmao Hu:
Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy c-Means Clustering. Comput. Math. Methods Medicine 2015: 485495:1-485495:12 (2015)
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