Secure and Efficient Handover Schemes for Heterogeneous Networks. - Hung-Min Sun; Shuai-Min Chen; Yao-Hsin Chen; Heng-Jeng Chung; I-Hung Lin (APSCC, 2008)

Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. - Chao-Han Huck Yang; Fangyu Liu 001; Jia-Hong Huang; Meng Tian 002; I-Hung Lin; Yi-Chieh Liu; Hiromasa Morikawa; Hao-Hsiang Yang; Jesper Tegnér (ACCV Workshops, 2018)

A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases. - Chao-Han Huck Yang; Jia-Hong Huang; Fangyu Liu 001; Fang-Yi Chiu; Mengya Gao; Weifeng Lyu; I-Hung Lin; Jesper Tegnér (CoRR, 2018)

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. - Chao-Han Huck Yang; Fangyu Liu 001; Jia-Hong Huang; Meng Tian 002; Yi-Chieh Liu; I-Hung Lin; Jesper Tegnér (CoRR, 2018)

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. - Jia-Hong Huang; Chao-Han Huck Yang; Fangyu Liu 001; Meng Tian 002; Yi-Chieh Liu; Ting-Wei Wu; I-Hung Lin; Kang Wang; Hiromasa Morikawa; Hernghua Chang; Jesper Tegnér; Marcel Worring (WACV, 2021)

Non-local Attention Improves Description Generation for Retinal Images. - Jia-Hong Huang; Ting-Wei Wu; Chao-Han Huck Yang; Zenglin Shi; I-Hung Lin; Jesper Tegnér; Marcel Worring (WACV, 2022)