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. Author manuscript; available in PMC: 2023 Oct 1.
Published in final edited form as: IEEE Trans Med Imaging. 2022 Sep 30;41(10):2764–2776. doi: 10.1109/TMI.2022.3171778

TABLE VIII.

Comparison with state-of-the-art methods. CF: coarse-to-fine framework. M = 106.

Method MAE (days) Pearson Parameters
MLP 82.16±0.46 0.8619 0.804M
CNN 89.90±1.72 0.8440 0.162M
GCN [31] 95.10±1.74 0.8390 0.004M
BrainNetCNN [30] 70.57±1.25 0.8965 2.011M
PR-GNN [48] 79.02±2.51 0.8791 0.010M
BrainGNN [49] 75.55±1.94 0.8869 0.076M
BC-GCN 68.03±1.33 0.8979 2.009M
BC-GCN-Res 66.99±1.15 0.9035 2.010M
BC-GCN-SE 61.40±1.02 0.9032 2.010M
BC-GCN with CF 55.20±1.80 0.9395 8.036M
BC-GCN-Res with CF 55.38±1.94 0.9490 8.040M
BC-GCN-SE with CF 49.92±1.00 0.9512 8.040M