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Department of Language Science and Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China
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RUFNet's innovative approach to combining mask refinement and uncertainty modeling leads to significant performance gains in few-shot brain tumor segmentation.
Achieving a remarkable 66% accuracy in zero-shot EEG visual decoding could redefine benchmarks in brain-computer interface fidelity.
