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Jayashree Kalpathy-Cramer

Showing results (191-200 of 257) with videos related to

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JAMA Network Open|January 19, 2023
Assessment of Retinopathy of Prematurity Regression and Reactivation Using an Artificial Intelligence-Based Vascular Severity ScoreSonja K Eilts, Johanna M Pfeil, Broder Poschkamp, et al.
Ophthalmology|June 12, 2024
Use of an Artificial Intelligence-Generated Vascular Severity Score Improved Plus Disease Diagnosis in Retinopathy of PrematurityAaron S Coyner, Benjamin K Young, Susan R Ostmo, et al.
Radiology|November 28, 2018
The RSNA Pediatric Bone Age Machine Learning ChallengeSafwan S Halabi, Luciano M Prevedello, Jayashree Kalpathy-Cramer, et al.
JCO Clinical Cancer Informatics|May 12, 2020
Quantitative Imaging Informatics for Cancer ResearchAndrey Fedorov, Reinhard Beichel, Jayashree Kalpathy-Cramer, et al.
Ophthalmology|September 4, 2016
Plus Disease in Retinopathy of Prematurity: A Continuous Spectrum of Vascular Abnormality as a Basis of Diagnostic VariabilityJ Peter Campbell, Jayashree Kalpathy-Cramer, Deniz Erdogmus, et al.
Ophthalmology|August 28, 2016
Plus Disease in Retinopathy of Prematurity: Improving Diagnosis by Ranking Disease Severity and Using Quantitative Image AnalysisJayashree Kalpathy-Cramer, J Peter Campbell, Deniz Erdogmus, et al.
Cancer Epidemiology|April 27, 2023
Use of risk-based cervical screening programs in resource-limited settingsRebecca B Perkins, Debi L Smith, Jose Jeronimo, et al.
Frontiers in Neuroscience|March 11, 2020
Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning ApproachesTahsin Kurc, Spyridon Bakas, Xuhua Ren, et al.
Cancer Discovery|October 4, 2024
A New Era of Data-Driven Cancer Research and Care: Opportunities and ChallengesFelicia Gomez, Arpad M Danos, Guilherme Del Fiol, et al.
Ophthalmology Science|December 19, 2022
Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and MongoliaEmily Cole, Nita G Valikodath, Tala Al-Khaled, et al.
Pageof 26

Showing results (191-200 of 257) with videos related to

Sort By:
Pageof 26
JAMA Network Open|January 19, 2023
Assessment of Retinopathy of Prematurity Regression and Reactivation Using an Artificial Intelligence-Based Vascular Severity ScoreSonja K Eilts, Johanna M Pfeil, Broder Poschkamp, et al.
Ophthalmology|June 12, 2024
Use of an Artificial Intelligence-Generated Vascular Severity Score Improved Plus Disease Diagnosis in Retinopathy of PrematurityAaron S Coyner, Benjamin K Young, Susan R Ostmo, et al.
Radiology|November 28, 2018
The RSNA Pediatric Bone Age Machine Learning ChallengeSafwan S Halabi, Luciano M Prevedello, Jayashree Kalpathy-Cramer, et al.
JCO Clinical Cancer Informatics|May 12, 2020
Quantitative Imaging Informatics for Cancer ResearchAndrey Fedorov, Reinhard Beichel, Jayashree Kalpathy-Cramer, et al.
Ophthalmology|September 4, 2016
Plus Disease in Retinopathy of Prematurity: A Continuous Spectrum of Vascular Abnormality as a Basis of Diagnostic VariabilityJ Peter Campbell, Jayashree Kalpathy-Cramer, Deniz Erdogmus, et al.
Ophthalmology|August 28, 2016
Plus Disease in Retinopathy of Prematurity: Improving Diagnosis by Ranking Disease Severity and Using Quantitative Image AnalysisJayashree Kalpathy-Cramer, J Peter Campbell, Deniz Erdogmus, et al.
Cancer Epidemiology|April 27, 2023
Use of risk-based cervical screening programs in resource-limited settingsRebecca B Perkins, Debi L Smith, Jose Jeronimo, et al.
Frontiers in Neuroscience|March 11, 2020
Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning ApproachesTahsin Kurc, Spyridon Bakas, Xuhua Ren, et al.
Cancer Discovery|October 4, 2024
A New Era of Data-Driven Cancer Research and Care: Opportunities and ChallengesFelicia Gomez, Arpad M Danos, Guilherme Del Fiol, et al.
Ophthalmology Science|December 19, 2022
Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and MongoliaEmily Cole, Nita G Valikodath, Tala Al-Khaled, et al.
Pageof 26