Algorithm 1.

GraFT DL

Input: data Y, parameters $\left\{\beta ,\xi ,{\lambda }_0,{\gamma }_1,{\gamma }_2,{\gamma }_3\right\}$`

Initialize ${\widehat{\mathbf{\Phi }}}^0$ randomly

Learn the graph W via Equation (12)

Normalize K = D−1W

while not converged do

for all voxels do

Initialize ${\lambda }_{ik}=1\forall \{i,k\}$

for l ≤ 3 do

Update ${\widehat{\mathit{a}}}_i$ via Equation (13)

Update λik via Equation (14)

end for

end for

Update ${\widehat{\mathbf{\Phi }}}^t$ via Equation (16)

end while