Yuanpeng Wei

TL;DR: By using digraphs of tensors, the authors gave Brualdi-type eigenvalue inclusion sets for tensors and also gave some applications of their result to nonsingularity and positive definiteness.

TL;DR: For a tensor A = (a i 1 ⋯ i m ) ∈ C n × ⋩ × n, the associated digraph of A has the vertex set V ( A ) = { 1, …, n }, and the arc set of Γ A is E ( A) = { ( i, j ) | a i i 2 ⋌ i m ≠ 0, j ∈ { i 2, …, i m } ≠ { i, …-, i m ∈ [ i,, j ] ≠

TL;DR: DuDReTLU-Net as mentioned in this paper proposed a dual-domain (image and k-space), transformer-based reconstruction network, paired with learning-based undersampling that accepts temporally correlated sequences of MRI images for dynamic reconstruction.