Yue Wu
Yue Wu
כתובת אימייל מאומתת בדומיין uw.edu
צוטט על ידי
צוטט על ידי
Deep-learning based, automated segmentation of macular edema in optical coherence tomography
CS Lee, AJ Tyring, NP Deruyter, Y Wu, A Rokem, AY Lee
Biomedical optics express 8 (7), 3440-3448, 2017
Generating retinal flow maps from structural optical coherence tomography with artificial intelligence
CS Lee, AJ Tyring, Y Wu, S Xiao, AS Rokem, NP Deruyter, Q Zhang, ...
Scientific reports 9 (1), 1-11, 2019
Forecasting future Humphrey visual fields using deep learning
JC Wen, CS Lee, PA Keane, S Xiao, AS Rokem, PP Chen, Y Wu, AY Lee
PLoS One 14 (4), e0214875, 2019
Gaussian process volatility model
Y Wu, JMH Lobato, Z Ghahramani
arXiv preprint arXiv:1402.3085, 2014
Dynamic covariance models for multivariate financial time series
Y Wu, JM Hernández-Lobato, G Zoubin
International Conference on Machine Learning, 558-566, 2013
Estimating retinal sensitivity using optical coherence tomography with deep-learning algorithms in macular telangiectasia type 2
Y Kihara, TFC Heeren, CS Lee, Y Wu, S Xiao, S Tzaridis, FG Holz, ...
JAMA network open 2 (2), e188029-e188029, 2019
Fully automated, deep learning segmentation of oxygen-induced retinopathy images
S Xiao, F Bucher, Y Wu, A Rokem, CS Lee, KV Marra, R Fallon, ...
JCI insight 2 (24), 2017
Disparities in delivery of ophthalmic care; An exploration of public Medicare data
CS Lee, GL Su, DM Baughman, Y Wu, AY Lee
PloS one 12 (8), e0182598, 2017
Development and validation of a machine learning, smartphone-based tonometer
Y Wu, I Luttrell, S Feng, PP Chen, T Spaide, AY Lee, JC Wen
British Journal of Ophthalmology 104 (10), 1394-1398, 2020
Prognostic Utility of Whole-Genome Sequencing and Polymerase Chain Reaction Tests of Ocular Fluids in Postprocedural Endophthalmitis
CS Lee, B Hong, SK Kasi, C Aderman, KE Talcott, MK Adam, B Yue, ...
American journal of ophthalmology 217, 325-334, 2020
Assessment of the need for separate test set and number of medical images necessary for deep learning: a sub-sampling study
A Rokem, Y Wu, A Lee
BioRxiv, 196659, 2017
Exploring a structural basis for delayed rod-mediated dark adaptation in age-related macular degeneration via deep learning
AY Lee, CS Lee, MS Blazes, JP Owen, Y Bagdasarova, Y Wu, T Spaide, ...
Translational vision science & technology 9 (2), 62-62, 2020
Fully automated artificial intelligence (AI) pipeline for feature-based segmentation and classification of diabetic retinopathy in fundus photographs
Y Wu, F Wang, S Xiao, Y Kihara, T Spaide, CS Lee, AY Lee
Investigative Ophthalmology & Visual Science 60 (9), 2205-2205, 2019
Fully automated quantification of retinal cones and anterior chamber cells using deep learning
Y Wu, S Xiao, A Rokem, CS Lee, L Wilson, K Pepple, R Sabesan, AY Lee
Investigative Ophthalmology & Visual Science 59 (9), 1222-1222, 2018
Generalized Permutation Framework for Testing Model Variable Significance
Y Wu, T Spaide, K Nakamichi, R Van Gelder, A Lee
arXiv preprint arXiv:2105.13952, 2021
Using Deep Learning to Automate Goldmann Applanation Tonometry Readings
T Spaide, Y Wu, RT Yanagihara, S Feng, O Ghabra, SY Jonathan, ...
Ophthalmology 127 (11), 1498-1506, 2020
Global maximal utility optimizer for resident matching
Y Wu, T Spaide, Y Kihara, CS Lee, RT Yanagihara, J Owen, AY Lee, ...
Investigative Ophthalmology & Visual Science 61 (7), 5120-5120, 2020
Using Deep Learning to Automate Goldmann Applanation Tonometry (GAT)
JC Wen, T Spaide, Y Wu, RT Yanagihara, O Ghabra, S Feng, PP Chen, ...
Investigative Ophthalmology & Visual Science 61 (7), 3492-3492, 2020
Game Theoretic Consequences of Resident Matching
Y Wu
arXiv preprint arXiv:2003.07205, 2020
De novo identification and visualization of important cell populations for classic Hodgkin lymphoma using flow cytometry and machine learning
PD Simonson, Y Wu, D Wu, JR Fromm, AY Lee
medRxiv, 2020
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מאמרים 1–20