DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation by Huang, Jia-Hong, Huck Yang, C.-H., Liu, Fangyu, Tian, Meng, Liu, Yi-Chieh, Wu, Ting-Wei, Lin, I-Hung, Wang, Kang, Morikawa, Hiromasa, Chang, Hernghua, Tegner, Jesper, Worring, Marcel

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Robust Unsupervised Multi-Object Tracking In Noisy Environments by Huck Yang, C.-H., Chhabra, Mohit, Liu, Y.-C., Kong, Quan, Yoshinaga, Tomoaki, Murakami, Tomokazu

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Non-local Attention Improves Description Generation for Retinal Images by Huang, Jia-Hong, Wu, Ting-Wei, Yang, C.-H. Huck, Shi, Zenglin, Lin, I-Hung, Tegner, Jesper, Worring, Marcel

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Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding by Liu, Yi-Chieh, Hsieh, Yung-An, Chen, Min-Hung, Yang, C.-H. Huck, Tegner, J., Tsai, Y.-C. James

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Robust Unsupervised Multi-Object Tracking in Noisy Environments by C -H Huck Yang, Chhabra, Mohit, Y -C Liu, Kong, Quan, Yoshinaga, Tomoaki, Murakami, Tomokazu

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Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics by Huck Yang, C H, Ooi, Rise, Hiscock, Tom, Eguiluz, Victor, Tegnér, Jesper

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Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model by C -H Huck Yang, Liu, Fangyu, Jia-Hong, Huang, Tian, Meng, Morikawa, Hiromasa, I-Hung, Lin, Liu, Yi-Chieh, Hao-Hsiang, Yang, Tegner, Jesper

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A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases by C -H Huck Yang, Jia-Hong, Huang, Liu, Fangyu, Fang-Yi, Chiu, Gao, Mengya, Lyu, Weifeng, I-Hung Lin M D, Tegner, Jesper

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