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Jayashree Kalpathy-Cramer

Showing results (81-90 of 256) with videos related to

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The Cochrane Database of Systematic Reviews|October 7, 2025
Artificial intelligence-based algorithms for the diagnosis of retinopathy of prematurityPaul Chong, Benjamin K Young, Stephen McNamara, et al.
Ophthalmology Science|April 20, 2026
Latent Supervision: A Method for Improved Performance and Calibration of Machine Learning Classification Models in OphthalmologyHady Yazbeck, Jad Assaf, Tom M Lietman, et al.
American Journal of Ophthalmology|June 13, 2026
Application of a quantitative vascular severity score in retinopathy of prematurity in the United States and India: new insights into disease epidemiology and pathophysiologyJ Peter Campbell, Sameera Nayak, Susan Ostmo, et al.
JAMA Ophthalmology|May 4, 2023
Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal ImagesAaron S Coyner, Praveer Singh, James M Brown, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Toward a severity index for ROP: An unsupervised approachPeng Tian, Esra Ataer-Cansizoglu, Jayashree Kalpathy-Cramer, et al.
Ophthalmology. Retina|September 9, 2023
Discrepancies in Diagnosis of Treatment-Requiring Retinopathy of PrematurityThanh-Tin P Nguyen, Benjamin K Young, Aaron Coyner, et al.
Statistical Methods in Medical Research|June 13, 2014
Statistical issues in the comparison of quantitative imaging biomarker algorithms using pulmonary nodule volume as an exampleNancy A Obuchowski, Huiman X Barnhart, Andrew J Buckler, et al.
Academic Radiology|January 24, 2021
Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest RadiographsMatthew D Li, Brent P Little, Tarik K Alkasab, et al.
Journal of Digital Imaging|August 22, 2022
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and RadiologyChristopher P Bridge, Chris Gorman, Steven Pieper, et al.
Ophthalmology Science|October 17, 2022
Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity DiagnosisAaron S Coyner, Jimmy S Chen, Ken Chang, et al.
Pageof 26

Showing results (81-90 of 256) with videos related to

Sort By:
Pageof 26
The Cochrane Database of Systematic Reviews|October 7, 2025
Artificial intelligence-based algorithms for the diagnosis of retinopathy of prematurityPaul Chong, Benjamin K Young, Stephen McNamara, et al.
Ophthalmology Science|April 20, 2026
Latent Supervision: A Method for Improved Performance and Calibration of Machine Learning Classification Models in OphthalmologyHady Yazbeck, Jad Assaf, Tom M Lietman, et al.
American Journal of Ophthalmology|June 13, 2026
Application of a quantitative vascular severity score in retinopathy of prematurity in the United States and India: new insights into disease epidemiology and pathophysiologyJ Peter Campbell, Sameera Nayak, Susan Ostmo, et al.
JAMA Ophthalmology|May 4, 2023
Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal ImagesAaron S Coyner, Praveer Singh, James M Brown, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Toward a severity index for ROP: An unsupervised approachPeng Tian, Esra Ataer-Cansizoglu, Jayashree Kalpathy-Cramer, et al.
Ophthalmology. Retina|September 9, 2023
Discrepancies in Diagnosis of Treatment-Requiring Retinopathy of PrematurityThanh-Tin P Nguyen, Benjamin K Young, Aaron Coyner, et al.
Statistical Methods in Medical Research|June 13, 2014
Statistical issues in the comparison of quantitative imaging biomarker algorithms using pulmonary nodule volume as an exampleNancy A Obuchowski, Huiman X Barnhart, Andrew J Buckler, et al.
Academic Radiology|January 24, 2021
Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest RadiographsMatthew D Li, Brent P Little, Tarik K Alkasab, et al.
Journal of Digital Imaging|August 22, 2022
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and RadiologyChristopher P Bridge, Chris Gorman, Steven Pieper, et al.
Ophthalmology Science|October 17, 2022
Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity DiagnosisAaron S Coyner, Jimmy S Chen, Ken Chang, et al.
Pageof 26