most citedMixer-Informer-Based Two-Stage Transfer Learning for Long-Sequence Load Forecasting in Newly Constructed Electric Vehicle Charging Stations

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eess.IV2025

Med-URWKV†: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation

Zhenhuan Zhou, Yining Li, Yanlin Wu +3

Medical image segmentation is a fundamental task in computer-aided diagnosis and treatment. Existing approaches based on CNNs, ViTs, Mamba, and hybrid models still suffer from limi…

eess.IV2024★ 1 cited

Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation

Zhenhuan Zhou, Along He, Yanlin Wu +3

In medical images, various types of lesions often manifest significant differences in their shape and texture. Accurate medical image segmentation demands deep learning models with…