Hongmin Bai
According to our database1,
Hongmin Bai
authored at least 6 papers
between 2017 and 2020.
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Bibliography
2020
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images.
Neural Networks, 2020
Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects.
Appl. Soft Comput., 2019
3D Deep Attention Network for Survival Prediction from Magnetic Resonance Images in Glioblastoma.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Low grade glioma growth modeling considering chemotherapy and radiotherapy effects from magnetic resonance images.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017