
\clearpage
\section{Quantitative Results}
\label{app:appendix3-quantitative-results}
\subsection{Supplementary Results}
\label{app:appendix3-quantitative-supp-results}

% \input{tabs/tabS1}
% \input{tabs/tabS2}
% \input{tabs/tabS3}
% \input{tabs/tabS4}


\input{figs/metrics_psnr}
\input{figs/metrics_nmse}
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\input{figs/ssim_10x_12x}
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\input{figs/ssim_aorta}
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\subsection{Inference Times}
\input{tabs/tab1}

Inference runtime is reported in \Table{times} for all configurations. Given that each 4D volume in our dataset comprises $n_f=12$ frames and between 3 to 12 slices (see \Appendix{appendix2-dataset}), we estimate a conservative upper bound on per-frame sampling prediction time in frame-specific settings to be approximately $\frac{1}{12 \times 3} = 27$ milliseconds per frame prediction, based on the observed $< 1$ second overhead.

\subsection{Ablation Results}
\label{app:appendix3-ablation-results}

\input{tabs/tabS5N1}
\input{tabs/tabS6NU}
\clearpage

\subsection{Reconstruction Model Robustness Results}
\label{app:appendix3-medl}
\input{figs/ssim_medl}
\input{figs/psnr_medl}
\input{figs/nmse_medl}

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