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. Author manuscript; available in PMC: 2022 Nov 1.
Published in final edited form as: IEEE Trans Med Imaging. 2021 Oct 27;40(11):3102–3112. doi: 10.1109/TMI.2021.3065948

Fig. 5.

Fig. 5.

Comparisons of the reconstruction performance with and without the progressive training-in-time strategy using d = 40. From the plot of SER vs. running time, we can see that the progressive training-in-time approach yields better results with much less running time comparing to the training without using progressive training-in-time. Two reconstructed frames near the end of systole and diastole using SToRM500, the proposed scheme with progressive training-in-time and the proposed scheme without using the progressive training-in-time are shown in the plot as well for comparison purposes. The average Brisque scores for SToRM500, the reconstruction with progressive training-in-time, and the reconstruction without progressive training-in-time are 36.4, 37.3 and 39.1 respectively.