2 citations · 2 across the 5 of their papers we have counts for
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cs.CV2024
Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation
Xinze Li, Runlin Huang, Zhenghao Wu +4
Semi-supervised learning (SSL) has been widely used to learn from both a few labeled images and many unlabeled images to overcome the scarcity of labeled samples in medical image s…
cs.LG2024
M-Impute: Mask-guided Representation Learning for Missing Value Imputation
Zhongyi Yu, Zhenghao Wu, Shuhan Zhong +4
Missing values are a common problem that poses significant challenges to data analysis and machine learning. This problem necessitates the development of an effective imputation me…
cs.CV2024
DAE-Fuse: An Adaptive Discriminative Autoencoder for Multi-Modality Image Fusion
Yuchen Guo, Ruoxiang Xu, Rongcheng Li +1
In extreme scenarios such as nighttime or low-visibility environments, achieving reliable perception is critical for applications like autonomous driving, robotics, and surveillanc…