| Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding YY Liu, M Chen, H Ishikawa, G Wollstein, JS Schuman, JM Rehg Medical image analysis 15 (5), 748-759, 2011 | 181 | 2011 |
| Efficient learning of continuous-time hidden markov models for disease progression YY Liu, S Li, F Li, L Song, JM Rehg Advances in neural information processing systems, 3600-3608, 2015 | 87 | 2015 |
| Computerized macular pathology diagnosis in spectral domain optical coherence tomography scans based on multiscale texture and shape features YY Liu, H Ishikawa, M Chen, G Wollstein, JS Duker, JG Fujimoto, ... Investigative ophthalmology & visual science 52 (11), 8316-8322, 2011 | 46 | 2011 |
| Longitudinal modeling of glaucoma progression using 2-dimensional continuous-time hidden markov model YY Liu, H Ishikawa, M Chen, G Wollstein, JS Schuman, JM Rehg International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 36 | 2013 |
| Automated macular pathology diagnosis in three-dimensional (3D) spectral domain optical coherence tomography (SD-OCT) images H Ishikawa, G Wollstein, JS Schuman, YY Liu, JM Rehg, M Chen US Patent 8,712,505, 2014 | 29 | 2014 |
| Named entity recognition from spoken documents using global evidences and external knowledge sources with applications on mandarin chinese Y Pan, Y Liu, L Lee Automatic Speech Recognition and Understanding, 2005 IEEE Workshop on, 296-301, 2005 | 17 | 2005 |
| Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns YY Liu, C Mei, H Ishikawa, G Wollstein, JS Schuman, J M Rehg International Conference on Medical Image Computing and Computer Assisted …, 2010 | 13 | 2010 |
| Clinical Prediction Performance of Glaucoma Progression Using a 2-Dimensional Continuous-Time Hidden Markov Model with Structural and Functional Measurements Y Song, H Ishikawa, M Wu, YY Liu, KA Lucy, F Lavinsky, M Liu, ... Ophthalmology, 2018 | 7 | 2018 |
| Learning Continuous-Time Hidden Markov Models for Event Data YY Liu, A Moreno, S Li, F Li, L Song, JM Rehg Mobile Health, 361-387, 2017 | 7 | 2017 |
| Automated foveola localization in retinal 3d-oct images using structural support vector machine prediction YY Liu, H Ishikawa, M Chen, G Wollstein, JS Schuman, JM Rehg International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 2 | 2012 |
| Prediction Performance of a Trained Two-Dimensional Continuous Time Hidden Markov Model for Glaucoma Progression A Kokroo, H Ishikawa, M Wu, YY Liu, J Rehg, G Wollstein, JS Schuman Investigative Ophthalmology & Visual Science 59 (9), 4076-4076, 2018 | 1 | 2018 |
| Systems And Methods For Disease Progression Modeling YY Liu, I Hiroshi, J Rehg, JS Schuman, G Wollstein US Patent App. 15/022,711, 2016 | | 2016 |
| Assessment of Age Effect in Structural and Functional Glaucoma Progression Analysis YY Liu, H Ishikawa, G Wollstein, RA Bilonick, JG Fujimoto, C Mattox, ... Investigative Ophthalmology & Visual Science 55 (13), 988-988, 2014 | | 2014 |
| Visualizing State-Based Hypertension Progression Models A Gupta, YY Liu, J Sun, JM Rehg Georgia Institute of Technology, 2014 | | 2014 |
| Automated Foveola Localization in Three Dimensional (3D) Optical Coherence Tomography (OCT) Images with Various Macular Pathologies YY Liu, H Ishikawa, M Chen, G Wollstein, JS Schuman, JM Rehg Investigative Ophthalmology & Visual Science 53 (14), 4081-4081, 2012 | | 2012 |
| Automated Macular Pathology Diagnosis in SD-OCT Scans Based on Multi-Scale Texture and Shape Features within a Pathology-Specific Spatial Mask YY Liu, M Chen, H Ishikawa, G Wollstein, JS Schuman, JM Rehg Investigative Ophthalmology & Visual Science 52 (14), 1306-1306, 2011 | | 2011 |
| Automated Macular Pathology Diagnosis in Three-Dimensional (3D) Spectral Domain Optical Coherence Tomography (SD-OCT) Images YY Liu, M Chen, H Ishikawa, G Wollstein, J Schuman, J Rehg Investigative Ophthalmology & Visual Science 51 (13), 1772-1772, 2010 | | 2010 |
James M. RehgProfessor of Computer Science, Georgia Institute of TechnologyVerified email at gatech.edu
