Combining spatial priors and anatomical information for fMRI detection
In this paper, we analyze Markov Random Field (MRF) as a spatial regularizer in fMRI detection. The low signal-to-noise ratio (SNR) in fMRI images presents a serious challenge for detection algorithms, making regularization necessary to achieve good detection accuracy. Gaussian smoothing, traditiona...
| Үндсэн зохиолчид: | , , |
|---|---|
| Бусад зохиолчид: | |
| Формат: | Өгүүллэг |
| Хэл сонгох: | en_US |
| Хэвлэсэн: |
Elsevier
2015
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| Онлайн хандалт: | http://hdl.handle.net/1721.1/100235 https://orcid.org/0000-0003-2516-731X |