Yu-Ying Liu

发表

Learning Continuous-Time Hidden Markov Models for Event Data

Le Song, James M. Rehg, Shuang Li, 2017, Mobile Health - Sensors, Analytic Methods, and Applications.

Computerized Macular Pathology Diagnosis in Spectral Domain Optical Coherence Tomography Scans Based on Multiscale Texture and Shape Features

James M. Rehg, Yu-Ying Liu, G. Wollstein, 2022 .

Prediction Performance of a Trained Two-Dimensional Continuous Time Hidden Markov Model for Glaucoma Progression

James M. Rehg, Hiroshi Ishikawa, Gadi Wollstein, 2018 .

Clinical Prediction Performance of Glaucoma Progression Using a 2-Dimensional Continuous-Time Hidden Markov Model with Structural and Functional Measurements.

Katie A. Lucy, Yu-Ying Liu, G. Wollstein, 2018, Ophthalmology.

Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding

James M. Rehg, Hiroshi Ishikawa, Gadi Wollstein, 2011, Medical Image Anal..

Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression

Le Song, James M. Rehg, Shuang Li, 2015, NIPS.

Longitudinal Modeling of Glaucoma Progression Using 2-Dimensional Continuous-Time Hidden Markov Model

James M. Rehg, Mei Chen, Hiroshi Ishikawa, 2013, MICCAI.

Computerized macular pathology diagnosis in spectral domain optical coherence tomography scans based on multiscale texture and shape features.

James M. Rehg, Yu-Ying Liu, G. Wollstein, 2011, Investigative ophthalmology & visual science.

Clinical Prediction Performance of Glaucoma Progression Using Two-Dimensional Continuous Time Hidden Markov Model with Structural and Functional Measurements

Katie A. Lucy, Yu-Ying Liu, G. Wollstein, 2018 .

Disease Progression Modeling Using Multi-Dimensional Continuous-Time Hidden Markov Model

Yu-Ying Liu, Yu-Ying Liu, 2015 .

Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling pdf

Le Song, James M. Rehg, Agata Rozga, 2021, ArXiv.