SSPNet: An interpretable 3D-CNN for classification of schizophrenia using phase maps of resting-state complex-valued fMRI data

•SSPNet was proposed for schizophrenia classification with interpretability modules.•Phase (SSP) maps were used as 3D-CNN inputs to denoise complex-valued fMRI data.•Saliency maps were generated to provide insight into the relevant brain regions.•Grad-CAM was used to localize decision-making regions...

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