2020年9月16日 · Inspired by ADNet (Tian et al., 2020), the FFA-DMRI is proposed to eliminate noise in MRI. Figure 1 illustrates the overall architecture of FFA-DMRI. The network …

The MPS-FFA model provides improved interpretability for identifying discriminating features using feature visualization. The experimental results on the baseline sMRI scans from two …

2023年5月1日 · The MPS-FFA model provides improved interpretability for identifying discriminating features using feature visualization. The experimental results on the baseline …

Rician noise in MRI. In this work, we propose a feature fusion and attention network (FFA-DMRI) for removing Rician noise in magnetic resonance (MR) images. Inspired by the structure of …

The fusiform face area (FFA) is a part of the brain located in the fusiform gyrus with a debated purpose. Some researchers believe that the FFA is evolutionary purposed for face perception. …

2020年9月1日 · Therefore, the feature fusion and attention network (FFA-DMRI) is proposed to separate noise from observed MRI. Inspired by the attention-guided CNN network...

Past functional MRI (FMRI) studies of autism have reported reduced activation in response to the faces of strangers primarily in the 'fusiform face area' (FFA). An alternative and potentially …

2020年9月16日 · Therefore, the feature fusion and attention network (FFA-DMRI) is proposed to separate noise from observed MRI. Inspired by the attention-guided CNN network (ADNet) …

Magnetic Resonance Imaging (MRI) is an indispensable tool in the diagnosis of brain diseases due to painlessness and safety. Nevertheless, Rician noise is...

Therefore, the feature fusion and attention network (FFA-DMRI) is proposed to separate noise from observed MRI. Inspired by the attention-guided CNN network (ADNet) and Convolutional …