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. Author manuscript; available in PMC: 2022 Aug 4.
Published in final edited form as: IEEE Trans Neural Netw Learn Syst. 2022 Aug 3;33(8):4056–4068. doi: 10.1109/TNNLS.2021.3055772

Fig. 1.

Fig. 1.

Schematic diagram of the proposed MWAN for joint regression of multiple clinical scores from whole-brain MRI scans. Our MWAN is end-to-end and fully trainable, which consists of a backbone FCN, a weakly-supervised dementia attention block, and an attention-ware multitask regression block. Here, F, A, s, and Ā denote the output of corresponding layers in the dementia attention block. Notably, s is first softmax-normalized for the multiplication with A.