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most citedThe state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023

2 citations · 2 across the 6 of their papers we have counts for

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eess.IV2024★ 2 cited

The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023

Jun Lyu, Chen Qin, Shuo Wang +47

Cardiac MRI, crucial for evaluating heart structure and function, faces limitations like slow imaging and motion artifacts. Undersampling reconstruction, especially data-driven alg…

cs.CV2024

QUASAR: QUality and Aesthetics Scoring with Advanced Representations

Sergey Kastryulin, Denis Prokopenko, Artem Babenko +1

This paper introduces a new data-driven, non-parametric method for image quality and aesthetics assessment, surpassing existing approaches and requiring no prompt engineering or fi…