Author

Ping-Jun Gu

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Open access Aug 2026

Contrastive adversarial mix-up learning for unsupervised cross-modality image segmentation

Background Unsupervised domain adaptation (UDA) has been extensively investigated in terms of its ability to address the performance degradation caused by distribution shifts between labeled source-domain images and unlabeled target-domain images. In radiotherapy, this problem is particularly relevant for the transfer...

Yi-Chao Shen, Ping-Jun Gu, Chang-Hui Yu et al. · Quantitative Imaging in Medi... · 0 citations

Open access Oct 2026

Relevance between patients’ clinical factors and 4D-CT lung ventilation heterogeneity for evaluating the adoption of functional avoidance thoracic radiotherapy with a large patient database

Four-dimensional computed tomography (4D-CT)-guided functional-avoidance radiotherapy reduces radiation pneumonitis, but the lack of patient selection criteria limits its adoption. This study aimed to identify clinical predictors of lung ventilation heterogeneity and determine which patients derive the greatest dos...

Guo-Zhong Deng, Yong-Quan Ying, Xiao-Mei Wang et al. · Frontiers in Oncology · 0 citations