Comparison of machine learning and traditional classifiers in glaucoma diagnosis. - Kwokleung Chan; Te-Won Lee; Pamela A. Sample; Michael H. Goldbaum; Robert N. Weinreb; Terrence J. Sejnowski (IEEE Trans. Biomed. Eng., 2002)

Magnetic resonance imaging of the visual system in vivo: Transsynaptic illumination of V1 and V2 visual cortex. - James D. Lindsey; Miriam Scadeng; David J. Dubowitz; Jonathan G. Crowston; Robert N. Weinreb (NeuroImage, 2007)

Glaucoma progression detection using variational expectation maximization algorithm. - Akram Belghith; Madhusudhanan Balasubramanian; Christopher Bowd; Robert N. Weinreb; Linda M. Zangwill (ISBI, 2013)

A hierarchical framework for estimating neuroretinal rim area using 3D spectral domain optical coherence tomography (SD-OCT) optic nerve head (ONH) images of healthy and glaucoma eyes. - Akram Belghith; Christopher Bowd; Robert N. Weinreb; Linda M. Zangwill (EMBC, 2014)

A joint estimation detection of Glaucoma progression in 3D spectral domain optical coherence tomography optic nerve head images. - Akram Belghith; Christopher Bowd; Robert N. Weinreb; Linda M. Zangwill (Computer-Aided Diagnosis, 2014)

A unified framework for glaucoma progression detection using Heidelberg Retina Tomograph images. - Akram Belghith; Madhusudhanan Balasubramanian; Christopher Bowd; Robert N. Weinreb; Linda M. Zangwill (Comput. Medical Imaging Graph., 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)

GLANCE: Visual Analytics for Monitoring Glaucoma Progression. - Astrid van den Brandt; Mark Christopher; Linda M. Zangwill; Jasmin Rezapour; Christopher Bowd; Sally L. Baxter; Derek S. Welsbie; Andrew Camp; Sasan Moghimi; Jiun L. Do; Robert N. Weinreb; Chris C. P. Snijders; et al. (VCBM, 2020)

One-Vote Veto: A Self-Training Strategy for Low-Shot Learning of a Task-Invariant Embedding to Diagnose Glaucoma. - Rui Fan 001; Christopher Bowd; Nicole Brye; Mark Christopher; Robert N. Weinreb; David J. Kriegman; Linda M. Zangwill (CoRR, 2020)

Smart Electronic Eyedrop Bottle for Unobtrusive Monitoring of Glaucoma Medication Adherence. - Marcelo Aguilar-Rivera; Dieanira T. Erudaitius; Vincent M. Wu; Justin Tantiongloc; Dae Y. Kang; Todd P. Coleman; Sally L. Baxter; Robert N. Weinreb (Sensors, 2020)

A Wireless Handheld Pressure Measurement System for In Vivo Monitoring of Intraocular Pressure in Rabbits. - Alex Phan; Phuong Truong; Andrew Camp; Kerrianne Stewart; Benjamin Suen; Robert N. Weinreb; Frank E. Talke (IEEE Trans. Biomed. Eng., 2020)

A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis. - Yongli Xu; Man Hu 003; Hanruo Liu; Hao Yang 008; Huaizhou Wang; Shuai Lu 003; Tianwei Liang; Xiaoxing Li; Mai Xu; Liu Li; Huiqi Li; Xin Ji; et al. (npj Digit. Medicine, 2021)

Assessing Usability of Smartwatch Digital Health Devices for Home Blood Pressure Monitoring among Glaucoma Patients. - Sonali B. Bhanvadia; Manreet S. Brar; Arash Delavar; Kiana Tavakoli; Bharanidharan Radha Saseendrakumar; Robert N. Weinreb; Linda M. Zangwill; Sally L. Baxter (Informatics, 2022)

Availability of Physical Activity Tracking Data from Wearable Devices for Glaucoma Patients. - Sonali B. Bhanvadia; Leo Meller; Kian Madjedi; Robert N. Weinreb; Sally L. Baxter (Inf., 2023)

One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis. - Rui Fan 001; Christopher Bowd; Nicole Brye; Mark Christopher; Robert N. Weinreb; David J. Kriegman; Linda M. Zangwill (IEEE Trans. Medical Imaging, 2023)