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Jayashree Kalpathy-Cramer

Showing results (201-210 of 257) with videos related to

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International Ophthalmology Clinics|January 4, 2023
Operationalization of Retinopathy of Prematurity Screening by the Application of the Essential Public Health Services FrameworkMyrna Sobhy, Emily Cole, Sayena Jabbehdari, et al.
JAMA Ophthalmology|April 15, 2016
Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image AnalysisJ Peter Campbell, Esra Ataer-Cansizoglu, Veronica Bolon-Canedo, et al.
Medrxiv : the Preprint Server for Health Sciences|September 26, 2025
Deep learning-based prediction of cardiopulmonary disease in retinal images of premature infantsPraveer Singh, Sourav Kumar, Riya Tyagi, et al.
Scientific Reports|February 21, 2025
Generalizable deep neural networks for image quality classification of cervical imagesSyed Rakin Ahmed, Brian Befano, Didem Egemen, et al.
JAMA Ophthalmology|January 22, 2026
Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature InfantsPraveer Singh, Sourav Kumar, Riya Tyagi, et al.
Neuro-Oncology Advances|June 16, 2021
MR spectroscopic imaging predicts early response to anti-angiogenic therapy in recurrent glioblastomaPratik Talati, Mohamed El-Abtah, Daniel Kim, et al.
Medical Image Analysis|May 22, 2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challengeKendall Schmidt, Benjamin Bearce, Ken Chang, et al.
Annals of Neurology|June 11, 2022
Deep Learning Applications for Acute Stroke ManagementIsha R Chavva, Anna L Crawford, Mercy H Mazurek, et al.
International Journal of Cancer|September 29, 2015
Prognostic value of pretherapy platelet elevation in oropharyngeal cancer patients treated with chemoradiationSara Shoultz-Henley, Adam S Garden, Abdallah S R Mohamed, et al.
JAMA Ophthalmology|July 7, 2022
External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income PopulationsAaron S Coyner, Minn A Oh, Parag K Shah, et al.
Pageof 26

Showing results (201-210 of 257) with videos related to

Sort By:
Pageof 26
International Ophthalmology Clinics|January 4, 2023
Operationalization of Retinopathy of Prematurity Screening by the Application of the Essential Public Health Services FrameworkMyrna Sobhy, Emily Cole, Sayena Jabbehdari, et al.
JAMA Ophthalmology|April 15, 2016
Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image AnalysisJ Peter Campbell, Esra Ataer-Cansizoglu, Veronica Bolon-Canedo, et al.
Medrxiv : the Preprint Server for Health Sciences|September 26, 2025
Deep learning-based prediction of cardiopulmonary disease in retinal images of premature infantsPraveer Singh, Sourav Kumar, Riya Tyagi, et al.
Scientific Reports|February 21, 2025
Generalizable deep neural networks for image quality classification of cervical imagesSyed Rakin Ahmed, Brian Befano, Didem Egemen, et al.
JAMA Ophthalmology|January 22, 2026
Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature InfantsPraveer Singh, Sourav Kumar, Riya Tyagi, et al.
Neuro-Oncology Advances|June 16, 2021
MR spectroscopic imaging predicts early response to anti-angiogenic therapy in recurrent glioblastomaPratik Talati, Mohamed El-Abtah, Daniel Kim, et al.
Medical Image Analysis|May 22, 2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challengeKendall Schmidt, Benjamin Bearce, Ken Chang, et al.
Annals of Neurology|June 11, 2022
Deep Learning Applications for Acute Stroke ManagementIsha R Chavva, Anna L Crawford, Mercy H Mazurek, et al.
International Journal of Cancer|September 29, 2015
Prognostic value of pretherapy platelet elevation in oropharyngeal cancer patients treated with chemoradiationSara Shoultz-Henley, Adam S Garden, Abdallah S R Mohamed, et al.
JAMA Ophthalmology|July 7, 2022
External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income PopulationsAaron S Coyner, Minn A Oh, Parag K Shah, et al.
Pageof 26