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Principal Investigator  
Principal Investigator's Name: Muran Tang
Institution: Newcastle University
Department: School of computing
Country:
Proposed Analysis: In my research, I plan to use pre-processed brain MRI data set to train the self-improvement GAN model. The GAN model training will base on semi-supervised model. The final goal of the research is test the accuracy of my model in classification of different stages of Alzheimer disease on MRI.
Additional Investigators  
Investigator's Name: Yutong Bian
Proposed Analysis: Will do the same research on machine learning based on classification brain MRI using improved GAN algorithm and semi-supervised model for MRI.
Investigator's Name: Lingyue Gao
Proposed Analysis: Will do the same research on machine learning based on classification brain MRI using improved GAN algorithm and semi-supervised model for MRI.
Investigator's Name: Shang Xiang
Proposed Analysis: Will do the same research on machine learning based on classification brain MRI using improved GAN algorithm and semi-supervised model for MRI.
Investigator's Name: Kaijun Chang
Proposed Analysis: Will do the same research on machine learning based on classification brain MRI using improved GAN algorithm and semi-supervised model for MRI.