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. Author manuscript; available in PMC: 2021 Mar 1.
Published in final edited form as: IEEE Trans Med Imaging. 2019 Aug 5;39(3):644–655. doi: 10.1109/TMI.2019.2933160

TABLE IV.

Comparison with state-of-the-art methods for ASD identification using rs-fMRI ABIDE data on NYU site. HOA: Harvard Oxford Atlas. GMR: Gray Matter ROIS; AAL: Anatomical Automatic Labeling.

Method Feature Type Feature Dimension Classifier ACC (%) SEN (%) SPE (%) AUC (%)
sGCN + Hing Loss [15] HOA 111 × 111 KNN 60.50 57.00
sGCN + Global Loss [15] HOA 111 × 111 KNN 63.50 61.00
sGCN + Constrained Variance Loss [15] HOA 111 × 111 KNN 68.00 64.00
FCA [18] GMR 7, 266 × 7, 266 t-test 63.00 72.00 58.00
DAE [17] CC200 Atlas 19, 900 Softmax Regression 66.00 66.00 65.00
maLRR (Ours) AAL 6, 670 KNN 73.44 75.79 69.52
maLRR (Ours) AAL 6, 670 SVM 71.88 66.67 78.57 80.75