Recognizing patterns of visual field loss using unsupervised machine learning. - Siamak Yousefi; Michael H. Goldbaum; Linda M. Zangwill; Felipe A. Medeiros; Christopher Bowd (Image Processing, 2014)

Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points. - Siamak Yousefi; Michael H. Goldbaum; Madhusudhanan Balasubramanian; Tzyy-Ping Jung; Robert N. Weinreb; Felipe A. Medeiros; Linda M. Zangwill; Jeffrey M. Liebmann; Christopher A. Girkin; Christopher Bowd (IEEE Trans. Biomed. Eng., 2014)

Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements. - Siamak Yousefi; Michael H. Goldbaum; Madhusudhanan Balasubramanian; Felipe A. Medeiros; Linda M. Zangwill; Jeffrey M. Liebmann; Christopher A. Girkin; Robert N. Weinreb; Christopher Bowd (IEEE Trans. Biomed. Eng., 2014)

Automated segmentation of anterior lamina cribrosa surface: How the lamina cribrosa responds to intraocular pressure change in glaucoma eyes? - Akram Belghith; Christopher Bowd; Felipe A. Medeiros; Robert N. Weinreb; Linda M. Zangwill (ISBI, 2015)

Learning from healthy and stable eyes: A new approach for detection of glaucomatous progression. - Akram Belghith; Christopher Bowd; Felipe A. Medeiros; Madhusudhanan Balasubramanian; Robert N. Weinreb; Linda M. Zangwill (Artif. Intell. Medicine, 2015)

Detecting glaucomatous change in visual fields: Analysis with an optimization framework. - Siamak Yousefi; Michael H. Goldbaum; Ehsan Shahrian Varnousfaderani; Akram Belghith; Tzyy-Ping Jung; Felipe A. Medeiros; Linda M. Zangwill; Robert N. Weinreb; Jeffrey M. Liebmann; Christopher A. Girkin; Christopher Bowd (J. Biomed. Informatics, 2015)

Augmenting VR/AR Applications with EEG/EOG Monitoring and Oculo-Vestibular Recoupling. - John K. Zao; Tzyy-Ping Jung; Hung-Ming Chang; Tchin Tze Gan; Yu-Te Wang; Yuan-Pin Lin; Wen-Hao Liu; Guang-Yu Zheng; Chin-Kuo Lin; Chia-Hung Lin; Yu-Yi Chien; Fang-Cheng Lin; et al. (HCI (13), 2016)

From Machine to Machine: An OCT-trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs. - Felipe A. Medeiros; Alessandro A. Jammal; Atalie C. Thompson (CoRR, 2018)

Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. - Sonia Phene; R. Carter Dunn; Naama Hammel; Yun Liu 013; Jonathan Krause; Naho Kitade; Mike Schaekermann; Rory Sayres; Derek J. Wu; Ashish Bora; Christopher Semturs; Anita Misra; et al. (CoRR, 2018)

RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure. - Shounak Datta; Eduardo B. Mariottoni; David Dov; Alessandro A. Jammal; Lawrence Carin; Felipe A. Medeiros (CoRR, 2020)

Assessing glaucoma in retinal fundus photographs using Deep Feature Consistent Variational Autoencoders. - Sayan Mandal; Alessandro A. Jammal; Felipe A. Medeiros (CoRR, 2021)