Introduction
The Domain Adaptation Toolbox for Medical data analysis (DomainATM) is an open-source software package that is designed for fast facilitation and easy customization of domain adaptation and harmonization/normalization methods for biomedical data analysis. [Download via NITRC]
- DomainATM is designed to facilitate researchers using different methods for feature-level and image-level biomedical data adaptation, data visualization, and analysis performance evaluation.
- DomainATM is implemented in MATLAB with a user-friendly graphical interface, and it consists of a collection of popular domain adaptation algorithms that have been extensively applied in the fields of biomedical data analysis and computer vision.
- DomainATM enables the users to develop and test their own data adaptation methods through scripting which greatly enhances its utility and extensibility.
User Instruction
- Please register online (see the following) as a new user. Then, you will receive the link to download the software.
- Please use the institutional email corresponding to your organization.
- Before your registration, please print & sign “Agreements of DomainATM Software.pdf” (digital signature is not acceptable) and upload the signed agreement in the following form:
♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣-♣
Register for DomainATM Software
How to Cite
Please cite the following paper if you use the results generated by DomainATM:
Hao Guan, Mingxia Liu. DomainATM: Domain Adaptation Toolbox for Medical Data Analysis. NeuroImage, 268: 119863, 2023.
About Us
The DomainATM software is developed by the Machine Intelligence in Biomedical Computing Lab at the University of North Carolina at Chapel Hill.