Ming Sun
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The paper proposes GloResNet, a lightweight 3D CNN that effectively predicts brain injury in preterm infants using T2-weighted MRI, achieving an average accuracy of 75.18%.
The paper introduces MMG2Skill, a closed-loop framework that converts noisy, human-oriented web guides into editable, executable skills, significantly improving agent performance across diverse tasks.
Papers
GloResNet: A lightweight 3D CNN with global topological features for preterm brain injury prediction
Boyu Yuan, Jiamiao Lu, Weichuan Zhang, Benqing Wu +4 more
The paper proposes GloResNet, a lightweight 3D CNN that effectively predicts brain injury in preterm infants using T2-weighted MRI, achieving an average accuracy of 75.18%.