eslearn 1.0.10b0

This project is designed for machine learning in resting-state fMRI field

Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatric diseases or other diseases, disease mechanism exploration and etc.

We focus on machine learning rather than data preprocessing. Many software, such as SPM, GRETNA, DPABI, REST, RESTPlus, CCS, FSL, Freesufer, nipy, nipype, nibabel, fmriprep and etc, can be used for data preprocessing.

Citing information:

If you think this software (or some function) is useful, citing the easylearn software in your paper or code would be greatly appreciated! Citing link: https://github.com/lichao312214129/easylearn

Install

pip install eslearn

Usage

from eslearn import app
app.run()

Development

We hope you can join us!

Email: [e-mail]
Wechat: 13591648206

Supervisors/Consultants

Ke Xu

[e-mail]  
Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  
Department of Radiology, The First Affiliated Hospital of China Medical University.

Yanqing Tang

[e-mail]  
1 Brain Function Research Section, The First Affiliated Hospital of China Medical
University, Shenyang, Liaoning, PR China.  
2 Department of Psychiatry, The First Affiliated Hospital of China Medical University,
Shenyang, Liaoning, PR China.        

Yong He

[e-mail]  
1 National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China  
2 Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China  
3 IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China 

Maintainers

Chao Li

[e-mail]
Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  

Mengshi Dong

[e-mail]  
Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.