Search Results - "GOLDBAUM, Michael H"

Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps by Christopher, Mark, Bowd, Christopher, Belghith, Akram, Goldbaum, Michael H., Weinreb, Robert N., Fazio, Massimo A., Girkin, Christopher A., Liebmann, Jeffrey M., Zangwill, Linda M.

“…To develop and evaluate a deep learning system for differentiating between eyes with and without glaucomatous visual field damage (GVFD) and predicting the…”
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Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs by Christopher, Mark, Belghith, Akram, Bowd, Christopher, Proudfoot, James A., Goldbaum, Michael H., Weinreb, Robert N., Girkin, Christopher A., Liebmann, Jeffrey M., Zangwill, Linda M.

“…The ability of deep learning architectures to identify glaucomatous optic neuropathy (GON) in fundus photographs was evaluated. A large database of fundus…”
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Loss of polycomb repressive complex 1 activity and chromosomal instability drive uveal melanoma progression by Bakhoum, Mathieu F., Francis, Jasmine H., Agustinus, Albert, Earlie, Ethan M., Di Bona, Melody, Abramson, David H., Duran, Mercedes, Masilionis, Ignas, Molina, Elsa, Shoushtari, Alexander N., Goldbaum, Michael H., Mischel, Paul S., Bakhoum, Samuel F., Laughney, Ashley M.

“…Chromosomal instability (CIN) and epigenetic alterations have been implicated in tumor progression and metastasis; yet how these two hallmarks of cancer are…”
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Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points by Yousefi, Siamak, Bowd, Christopher, Goldbaum, Michael H., Balasubramanian, Madhusudhanan, Jung, Tzyy-Ping, Weinreb, Robert N., Medeiros, Felipe A., Zangwill, Linda M., Liebmann, Jeffrey M., Girkin, Christopher A.

“…Machine learning classifiers were employed to detect glaucomatous progression using longitudinal series of structural data extracted from retinal nerve fiber…”
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Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements by Yousefi, Siamak, Goldbaum, Michael H., Balasubramanian, Madhusudhanan, Medeiros, Felipe A., Zangwill, Linda M., Liebmann, Jeffrey M., Girkin, Christopher A., Weinreb, Robert N., Bowd, Christopher

“…A hierarchical approach to learn from visual field data was adopted to identify glaucomatous visual field defect patterns and to detect glaucomatous…”
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Glaucomatous patterns in Frequency Doubling Technology (FDT) perimetry data identified by unsupervised machine learning classifiers by Bowd, Christopher, Weinreb, Robert N, Balasubramanian, Madhusudhanan, Lee, Intae, Jang, Giljin, Yousefi, Siamak, Zangwill, Linda M, Medeiros, Felipe A, Girkin, Christopher A, Liebmann, Jeffrey M, Goldbaum, Michael H

“…The variational Bayesian independent component analysis-mixture model (VIM), an unsupervised machine-learning classifier, was used to automatically separate…”
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Retinal Ischemic Perivascular Lesions in Individuals With Atrial Fibrillation by Bakhoum, Christine Y, Madala, Samantha, Lando, Leonardo, Yarmohammadi, Adeleh, Long, Christopher P, Miguez, Sofia, Chan, Alison X, Singer, Maxwell, Jin, Andrew, Steren, Ben J, Adabifirouzjaei, Fatemeh, Goldbaum, Michael H, DeMaria, Anthony N, Sarraf, David, Bakhoum, Mathieu F

“…Background We previously demonstrated that retinal ischemic perivascular lesions (RIPLs), which are indicative of ischemia in the middle retina, may be a…”
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Retinal Ischemic Perivascular Lesions Are Associated With Stroke in Individuals With Atrial Fibrillation by Bakhoum, Christine Y, Au, Adrian, Bousquet, Elodie, Matesva, Mitchelle, Singer, Maxwell B, Jayaraj, Christina, Romero-Morales, Veronica A, Somisetty, Swathi, Santina, Ahmad, Bajar, Bryce, DeMaria, Anthony N, Goldbaum, Michael H, Meadows, Judith, Spatz, Erica S, Sarraf, David, Bakhoum, Mathieu F

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BAP1 methylation: a prognostic marker of uveal melanoma metastasis by Bakhoum, Mathieu F., Curtis, Ellis J., Goldbaum, Michael H., Mischel, Paul S.

“…Uveal melanoma, the most common intraocular primary cancer in adults, is characterized by striking variability in metastatic tendencies . BAP1 deletion in the…”
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Clinical Outcomes Comparison of Combined Small Incision Lenticule Extraction with Collagen Cross-Linking Versus Small Incision Lenticule Extraction Only by Chabib, Ayoub, Mammone, Massimo, Fantozzi, Chiara, Lian, Rebecca R., Afshari, Natalie A., Goldbaum, Michael H., Fantozzi, Marco

“…Purpose. To evaluate clinical outcome during 24 months follow-up between small incision lenticule extraction combined with cross-linking (SMILE Xtra) and small…”
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Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms by Christopher, Mark, Nakahara, Kenichi, Bowd, Christopher, Proudfoot, James A, Belghith, Akram, Goldbaum, Michael H, Rezapour, Jasmin, Weinreb, Robert N, Fazio, Massimo A, Girkin, Christopher A, Liebmann, Jeffrey M, De Moraes, Gustavo, Murata, Hiroshi, Tokumo, Kana, Shibata, Naoto, Fujino, Yuri, Matsuura, Masato, Kiuchi, Yoshiaki, Tanito, Masaki, Asaoka, Ryo, Zangwill, Linda M

“…To compare performance of independently developed deep learning algorithms for detecting glaucoma from fundus photographs and to evaluate strategies for…”
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Prevalence of subclinical retinal ischemia in patients with cardiovascular disease – a hypothesis driven study by Long, Christopher P., Chan, Alison X., Bakhoum, Christine Y., Toomey, Christopher B., Madala, Samantha, Garg, Anupam K., Freeman, William R, Goldbaum, Michael H., DeMaria, Anthony N., Bakhoum, Mathieu F.

“…Cardiovascular disease is the leading cause of mortality and disability worldwide. A noninvasive test that can detect underlying cardiovascular disease has the…”
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Proactive Decision Support for Glaucoma Treatment: Predicting Surgical Interventions with Clinically Available Data by Christopher, Mark, Gonzalez, Ruben, Huynh, Justin, Walker, Evan, Radha Saseendrakumar, Bharanidharan, Bowd, Christopher, Belghith, Akram, Goldbaum, Michael H, Fazio, Massimo A, Girkin, Christopher A, De Moraes, Carlos Gustavo, Liebmann, Jeffrey M, Weinreb, Robert N, Baxter, Sally L, Zangwill, Linda M

“…A longitudinal ophthalmic dataset was used to investigate multi-modal machine learning (ML) models incorporating patient demographics and history, clinical…”
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GNAQ and PMS1 Mutations Associated with Uveal Melanoma, Ocular Surface Melanosis, and Nevus of Ota by Toomey, Christopher B., Fraser, Kyle, Thorson, John A., Goldbaum, Michael H., Lin, Jonathan H.

“…G protein mutations are common in uveal melanomas, and the vast majority target amino acid residue Q209 in either GNAQ or GNA11. The GNAQ R183Q mutation is…”
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Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression by Christopher, Mark, Belghith, Akram, Weinreb, Robert N, Bowd, Christopher, Goldbaum, Michael H, Saunders, Luke J, Medeiros, Felipe A, Zangwill, Linda M

“…To apply computational techniques to wide-angle swept-source optical coherence tomography (SS-OCT) images to identify novel, glaucoma-related structural…”
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Deep Learning Image Analysis of Optical Coherence Tomography Angiography Measured Vessel Density Improves Classification of Healthy and Glaucoma Eyes by Bowd, Christopher, Belghith, Akram, Zangwill, Linda M., Christopher, Mark, Goldbaum, Michael H., Fan, Rui, Rezapour, Jasmin, Moghimi, Sasan, Kamalipour, Alireza, Hou, Huiyuan, Weinreb, Robert N.

“…To compare convolutional neural network (CNN) analysis of en face vessel density images to gradient boosting classifier (GBC) analysis of instrument-provided,…”
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Gradient-Boosting Classifiers Combining Vessel Density and Tissue Thickness Measurements for Classifying Early to Moderate Glaucoma by Bowd, Christopher, Belghith, Akram, Proudfoot, James A., Zangwill, Linda M., Christopher, Mark, Goldbaum, Michael H., Hou, Huiyuan, Penteado, Rafaella C., Moghimi, Sasan, Weinreb, Robert N.

“…To compare gradient-boosting classifier (GBC) analysis of optical coherence tomography angiography (OCTA)-measured vessel density (VD) and OCT-measured tissue…”
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Defining Extent of Diffuse Choroidal Melanoma with Indocyanine Green Angiography by Bakhoum, Mathieu F., Knight, Darren K., Goldbaum, Michael H.

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Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics Based on Thickness Maps from Macula OCT by Christopher, Mark, Bowd, Christopher, Proudfoot, James A., Belghith, Akram, Goldbaum, Michael H., Rezapour, Jasmin, Fazio, Massimo A., Girkin, Christopher A., De Moraes, Gustavo, Liebmann, Jeffrey M., Weinreb, Robert N., Zangwill, Linda M.

“…To develop deep learning (DL) systems estimating visual function from macula-centered spectral-domain (SD) OCT images. Evaluation of a diagnostic technology. A…”
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Retinal vein occlusion is associated with stroke independent of underlying cardiovascular disease by Bakhoum, Christine Y., Madala, Samantha, Long, Christopher K., Adabifirouzjaei, Fatemeh, Freeman, William R., Goldbaum, Michael H., DeMaria, Anthony N., Bakhoum, Mathieu F.

“…Background Stroke is a leading cause of mortality and morbidity. Thus, identifying associated risk factors may lead to earlier interventions aimed at reducing…”
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