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The hierarchical setting in LapIRN is configured with 3 levels, which is essentially an "unfolding" operation. The authors only describe this in a retrospective manner without explaining why a 3-level deep Laplacian network was chosen. Does this ensure convergence and generalizability? In other words: Is a 3-level deep Laplacian network sufficient to handle all types of patient conditions or body parts? Can theoretical derivations and/or experimental evidence be provided? In short, the authors need to further elaborate on why the current 3-level deep Laplacian workflow was chosen. Merely describing it in a retrospective manner is far from sufficient. I suspect that considerations were made regarding the trade-off between runtime, accuracy, and efficiency. Could you elaborate on this?
#37
opened Jan 6, 2025 by
computerAItest
Jacobian determinant applied on the displacement field (u) or deformation field (\phi)
#35
opened Jul 18, 2024 by
VincentYCYao
ProTip!
Adding no:label will show everything without a label.