Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns. - Yu-Ying Liu; Mei Chen; Hiroshi Ishikawa 005; Gadi Wollstein; Joel S. Schuman; James M. Rehg (MICCAI (1), 2010)

Experimental Study for "Quasi-uniform Wearability" Treatment of Cylinder Liner Inner Surface. - Ai Rong Chen; Yu-Ying Liu; Shou Zhong Wang (ICDMA, 2011)

Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding. - Yu-Ying Liu; Mei Chen; Hiroshi Ishikawa 005; Gadi Wollstein; Joel S. Schuman; James M. Rehg (Medical Image Anal., 2011)

Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction. - Yu-Ying Liu; Hiroshi Ishikawa 005; Mei Chen; Gadi Wollstein; Joel S. Schuman; James M. Rehg (MICCAI (1), 2012)

Longitudinal Modeling of Glaucoma Progression Using 2-Dimensional Continuous-Time Hidden Markov Model. - Yu-Ying Liu; Hiroshi Ishikawa 005; Mei Chen; Gadi Wollstein; Joel S. Schuman; James M. Rehg (MICCAI (2), 2013)

Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression. - Yu-Ying Liu; Shuang Li 002; Fuxin Li; Le Song; James M. Rehg (NIPS, 2015)

Learning Continuous-Time Hidden Markov Models for Event Data. - Yu-Ying Liu; Alexander Moreno; Shuang Li 002; Fuxin Li; Le Song; James M. Rehg (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Disease Progression Modeling Using Multi-Dimensional Continuous-Time Hidden Markov Model. - Yu-Ying Liu (2017)

Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling. - Yu-Ying Liu; Alexander Moreno; Maxwell A. Xu; Shuang Li 002; Jena C. McDaniel; Nancy C. Brady; Agata Rozga; Fuxin Li; Le Song; James M. Rehg (CoRR, 2021)

A relaxation general two-sweep modulus-based matrix splitting iteration method for solving linear complementarity problems. - Dong-Kai Li; Li Wang; Yu-Ying Liu (J. Comput. Appl. Math., 2022)