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Flipover outperforms dropout in deep learning
Flipover, an enhanced dropout technique, is introduced to improve the robustness of artificial neural networks. In contrast to dropout, …
Yuxuan Liang, Chuang Niu, Pingkun Yan, Ge Wang
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Flipover outperforms dropout in deep learning
Unbiasing fairness evaluation of radiology AI model
Fairness of artificial intelligence and machine learning models, often caused by imbalanced datasets, has long been a concern. While …
Yuxuan Liang, Hanqing Chao, Jiajin Zhang, Ge Wang, Pingkun Yan
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Unbiasing fairness evaluation of radiology AI model
Phase function estimation from a diffuse optical image via deep learning
Objective. The phase function is a key element of a light propagation model for Monte Carlo (MC) simulation, which is usually fitted …
Yuxuan Liang, Chuang Niu, Chen Wei, Shenghan Ren, Wenxiang Cong, Ge Wang
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Phase function estimation from a diffuse optical image via deep learning