most citedCardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos

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eess.IV2025

Simple is what you need for efficient and accurate medical image segmentation

Xiang Yu, Yayan Chen, Guannan He +12

While modern segmentation models often prioritize performance over practicality, we advocate a design philosophy prioritizing simplicity and efficiency, and attempted high performa…

eess.IV2024★ 1 cited

CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos

Jiewen Yang, Yiqun Lin, Bin Pu +3

Echocardiogram video plays a crucial role in analysing cardiac function and diagnosing cardiac diseases. Current deep neural network methods primarily aim to enhance diagnosis accu…