In this work a self-supervised implicit neural representation framework for estimating Standard Model of white matter parameters is presented, improving fitting accuracy under noise conditions, enabling spatial upsampling, and allowing for integrated gradient non-uniformity correction.
- Tom Hendriks
- Gerrit Arends
- Chantal M. W. Tax
