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Connectome based age/sex prediction using CNN

Introduction

This is a internship project in Harvard Medical School 2022. It use brain white matter features to predict subjects' age/sex by a CNN. The work is submitted to ISBI 2022 "Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach"

Get Started

1. Prerequisite
Python3.7+ environment
All the packages used in the code
cuda (*optional)
2. Install and run Visdom
Install visdom follow the guide in https://github.com/fossasia/visdom
Run the visdom in terminal by: python -m visdom.server
3. Change the settings
Start training by run main.py.
4. Change the settings
If you want to change the experimental settings, see DTI/cli.py.

Thanks

Thanks a lot to my advisor Prof. Lauren O'Donnell and Fan Zhang. Thanks a lot to my Co-workers and Yuqian Chen, Tengfei Xue, Shuyue Wang, Leo Zekelman, Jered Sullivan.

Contact

Author email: hehao2000.chn@gmail.com; 1175328080@qq.com

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  • Python 100.0%