Deep neural networks (DNN) recently have gained increasing interest in neuroimaging research for different applications. However, it remains to be an open question whether and how artificial neural networks can be used for denoising neuroimaging data. In this study, we have designed a DNN network for denoising task-based fMRI data. The result showed that DNN can efficiently reduce physiological fluctuation and achieve more homogeneous fMRI activation maps.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords