Výsledky vyhledávání - "Kathryn McGovern"

Variability in Plus Disease Diagnosis using Single and Serial Images

Autor: Emily D. Cole, Shin Hae Park, Sang Jin Kim, Kai B. Kang, Nita G. Valikodath, Tala Al-Khaled, Samir N. Patel, Karyn E. Jonas, Susan Ostmo, Aaron Coyner, Audina Berrocal, Kimberly A. Drenser, Aaron Nagiel, Jason D. Horowitz, Thomas C. Lee, Jayashree Kalpathy-Cramer, Michael F. Chiang, J. Peter Campbell, R.V. Paul Chan, Kemal Sonmez, RV Paul Chan, Karyn Jonas, Jason Horowitz, Osode Coki, Cheryl-Ann Eccles, Leora Sarna, Anton Orlin, Catherin Negron, Kimberly Denser, Kristi Cumming, Tammy Osentoski, Tammy Check, Mary Zajechowski, Thomas Lee, Evan Kruger, Kathryn McGovern, Charles Simmons, Raghu Murthy, Sharon Galvis, Jerome Rotter, Ida Chen, Xiaohui Li, Kent Taylor, Kaye Roll, Deniz Erdogmus, Stratis Ioannidis, Maria Ana Martinez-Castellanos, Samantha Salinas-Longoria, Rafael Romero, Andrea Arriola, Francisco Olguin-Manriquez, Miroslava Meraz-Gutierrez, Carlos M. Dulanto-Reinoso, Cristina Montero-Mendoza

Publikováno v: Ophthalmol Retina

PURPOSE: To assess changes in retinopathy of prematurity (ROP) diagnosis in single and serial retinal images. DESIGN: Cohort study. PARTICIPANTS: Cases of ROP recruited from the Imaging and Informatics in Retinopathy of Prematurity (i-ROP) consortium

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb71b4d62d070ad32d5bb4405704fcaf
https://doi.org/10.1016/j.oret.2022.05.024

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Federated Learning for Multicenter Collaboration in Ophthalmology

Autor: Adam Hanif, Charles Lu, Ken Chang, Praveer Singh, Aaron S. Coyner, James M. Brown, Susan Ostmo, Robison V. Paul Chan, Daniel Rubin, Michael F. Chiang, Jayashree Kalpathy-Cramer, John Peter Campbell, Sang Jin Kim, Kemal Sonmez, Robert Schelonka, Aaron Coyner, R.V. Paul Chan, Karyn Jonas, Bhavana Kolli, Jason Horowitz, Osode Coki, Cheryl-Ann Eccles, Leora Sarna, Anton Orlin, Audina Berrocal, Catherin Negron, Kimberly Denser, Kristi Cumming, Tammy Osentoski, Tammy Check, Mary Zajechowski, Thomas Lee, Aaron Nagiel, Evan Kruger, Kathryn McGovern, Dilshad Contractor, Margaret Havunjian, Charles Simmons, Raghu Murthy, Sharon Galvis, Jerome Rotter, Ida Chen, Xiaohui Li, Kent Taylor, Kaye Roll, Mary Elizabeth Hartnett, Leah Owen, Darius Moshfeghi, Mariana Nunez, Zac Wennber-Smith, Deniz Erdogmus, Stratis Ioannidis, Maria Ana Martinez-Castellanos, Samantha Salinas-Longoria, Rafael Romero, Andrea Arriola, Francisco Olguin-Manriquez, Miroslava Meraz-Gutierrez, Carlos M. Dulanto-Reinoso, Cristina Montero-Mendoza

Publikováno v: Ophthalmology Retina. 6:657-663

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1526a7eb6547e7c881fd3206c4a73c74
https://doi.org/10.1016/j.oret.2022.02.015

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Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale

Publikováno v: Ophthalmology. 128(7)

Purpose To evaluate the clinical usefulness of a quantitative deep learning-derived vascular severity score for retinopathy of prematurity (ROP) by assessing its correlation with clinical ROP diagnosis and by measuring clinician agreement in applying

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c112e519a70b298db14cec52ccab7a7
https://pubmed.ncbi.nlm.nih.gov/34154724

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Variability in Plus Disease Identified Using a Deep Learning-Based Retinopathy of Prematurity Severity Scale

Publikováno v: Ophthalmology. Retina. 4(10)

Purpose Retinopathy of prematurity is a leading cause of childhood blindness worldwide, but clinical diagnosis is subjective, which leads to treatment differences. Our goal was to determine objective differences in the diagnosis of plus disease betwe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::516ebe309053a420743fee20fef3086d
https://pubmed.ncbi.nlm.nih.gov/33019986

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Assessment of a Tele-education System to Enhance Retinopathy of Prematurity Training by International Ophthalmologists-in-Training in Mexico

Autor: Samir N. Patel, Maria Ana Martinez-Castellanos, David Berrones-Medina, Ryan Swan, Michael C. Ryan, Karyn E. Jonas, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, R.V. Paul Chan, Vivien Yap, Alexander D. Port, Leslie D. Mackeen, Samantha Salinas-Longoria, Rafael Romero, Andrea Arriola, Wei-Chi Wu, Rachelle Go Ang Sam Anzures, Camila V. Ventura, Kemal Sonmez, Sang Jin Kim, Karyn Jonas, Anton Orlin, Jason Horowitz, Osode Coki, Cheryl-Ann Eccles, Leora Sarna, Audina Berrocal, Catherin Negron, Kimberly Denser, Kristi Cumming, Tammy Osentoski, Tammy Check, Mary Zajechowski, Thomas Lee, Evan Kruger, Kathryn McGovern, Charles Simmons, Raghu Murthy, Sharon Galvis, Jerome Rotter, Ida Chen, Xiaohui Li, Kent Taylor, Kaye Roll, Jayashree Kalpathy-Cramer, Deniz Erdogmus, Stratis Ionnidis, Francisco Olguin-Manriquez, Miroslava Meraz-Gutierrez, Carlos M. Dulanto-Reinoso, Cristina Montero-Mendoza

Publikováno v: Ophthalmology

PURPOSE: To evaluate a tele-education system developed to improve diagnostic competency in retinopathy of prematurity (ROP) by ophthalmologists-in-training in Mexico. DESIGN: Prospective, randomized cohort study. PARTICIPANTS: Fifty-eight ophthalmolo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0c57707f86c77bd975138d88ca065e1
https://doi.org/10.1016/j.ophtha.2017.02.014

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Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

Autor: Aaron S. Coyner, Ryan Swan, J. Peter Campbell, Susan Ostmo, James M. Brown, Jayashree Kalpathy-Cramer, Sang Jin Kim, Karyn E. Jonas, R.V. Paul Chan, Michael F. Chiang, Kemal Sonmez, R. V. Paul Chan, Karyn Jonas, Jason Horowitz, Osode Coki, Cheryl-Ann Eccles, Leora Sarna, Anton Orlin, Audina Berrocal, Catherin Negron, Kimberly Denser, Kristi Cumming, Tammy Osentoski, Tammy Check, Mary Zajechowski, Thomas Lee, Evan Kruger, Kathryn McGovern, Charles Simmons, Raghu Murthy, Sharon Galvis, Jerome Rotter, Ida Chen, Xiaohui Li, Kent Taylor, Kaye Roll, Ken Chang, Andrew Beers, Deniz Erdogmus, Stratis Ioannidis, Maria Ana Martinez-Castellanos, Samantha Salinas-Longoria, Rafael Romero, Andrea Arriola, Francisco Olguin-Manriquez, Miroslava Meraz-Gutierrez, Carlos M. Dulanto-Reinoso, Cristina Montero-Mendoza

Publikováno v: Ophthalmol Retina

Purpose Accurate image-based ophthalmic diagnosis relies on fundus image clarity. This has important implications for the quality of ophthalmic diagnoses and for emerging methods such as telemedicine and computer-based image analysis. The purpose of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea711ab50f8fc0b786e05770a3d29f25
https://europepmc.org/articles/PMC6501831/

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Plus Disease in Retinopathy of Prematurity

Autor: J. Peter Campbell, Jayashree Kalpathy-Cramer, Deniz Erdogmus, Peng Tian, Dharanish Kedarisetti, Chace Moleta, James D. Reynolds, Kelly Hutcheson, Michael J. Shapiro, Michael X. Repka, Philip Ferrone, Kimberly Drenser, Jason Horowitz, Kemal Sonmez, Ryan Swan, Susan Ostmo, Karyn E. Jonas, R.V. Paul Chan, Michael F. Chiang, Karyn Jonas, Osode Coki, Cheryl-Ann Eccles, Leora Sarna, Audina Berrocal, Catherin Negron, Kimberly Denser, Kristi Cumming, Tammy Osentoski, Tammy Check, Mary Zajechowski, Thomas Lee, Evan Kruger, Kathryn McGovern, Charles Simmons, Raghu Murthy, Sharon Galvis, Jerome Rotter, Ida Chen, Xiaohui Li, Kent Taylor, Kaye Roll, Maria Ana Martinez-Castellanos, Samantha Salinas-Longoria, Rafael Romero, Andrea Arriola, Francisco Olguin-Manriquez, Miroslava Meraz-Gutierrez, Carlos M. Dulanto-Reinoso, Cristina Montero-Mendoza

Publikováno v: Ophthalmology. 123:2345-2351

Purpose To determine expert agreement on relative retinopathy of prematurity (ROP) disease severity and whether computer-based image analysis can model relative disease severity, and to propose consideration of a more continuous severity score for RO

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3669df625f498848c48dbdbee4065133
https://doi.org/10.1016/j.ophtha.2016.07.020

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Telemedical Diagnosis of Stage 4 and Stage 5 Retinopathy of Prematurity

Publikováno v: Ophthalmology. Retina. 2(1)

Purpose To determine the accuracy of image-based diagnosis for stage 4 or worse retinopathy of prematurity (ROP) disease. Design Prospective cohort study. Participants We prospectively obtained data, from 8 major ROP centers, for 1220 eye examination

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4673613690bd94d5daccb17ad91deff
https://pubmed.ncbi.nlm.nih.gov/31047304

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Plus Disease in Retinopathy of Prematurity: Diagnostic Trends in 2016 Versus 2007

Publikováno v: American journal of ophthalmology. 176

To identify any temporal trends in the diagnosis of plus disease in retinopathy of prematurity (ROP) by experts.Reliability analysis.ROP experts were recruited in 2007 and 2016 to classify 34 wide-field fundus images of ROP as plus, pre-plus, or norm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dc5ced27d1c1f88a89a65afbf80d9e9
https://pubmed.ncbi.nlm.nih.gov/28087400

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