Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jayashree Kalpathy-Cramer

Showing results (121-130 of 257) with videos related to

Pageof 26
Sort By:
Ophthalmology. Retina|March 17, 2022
Federated Learning for Multicenter Collaboration in Ophthalmology: Improving Classification Performance in Retinopathy of PrematurityCharles Lu, Adam Hanif, Praveer Singh, et al.
Ophthalmology. Retina|March 19, 2022
Federated Learning for Multicenter Collaboration in Ophthalmology: Implications for Clinical Diagnosis and Disease EpidemiologyAdam Hanif, Charles Lu, Ken Chang, et al.
Radiology|September 20, 2022
Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CTCory Robinson-Weiss, Jay Patel, Bernardo C Bizzo, et al.
The Oncologist|December 7, 2013
Low incidence of pseudoprogression by imaging in newly diagnosed glioblastoma patients treated with cediranib in combination with chemoradiationMarco C Pinho, Pavlina Polaskova, Jayashree Kalpathy-Cramer, et al.
Ophthalmology Science|December 7, 2023
Oxygenation Fluctuations Associated with Severe Retinopathy of Prematurity: Insights from a Multimodal Deep Learning ApproachWei-Chun Lin, Brian K Jordan, Brian Scottoline, et al.
Medical Physics|May 18, 2020
Head and neck cancer patient images for determining auto-segmentation accuracy in T2-weighted magnetic resonance imaging through expert manual segmentationsCarlos E Cardenas, Abdallah S R Mohamed, Jinzhong Yang, et al.
Radiology. Artificial Intelligence|April 12, 2021
Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of GlioblastomaKatharina V Hoebel, Jay B Patel, Andrew L Beers, et al.
Ophthalmology Science|October 17, 2022
Improved Training Efficiency for Retinopathy of Prematurity Deep Learning Models Using Comparison versus Class LabelsAdam Hanif, İlkay Yıldız, Peng Tian, et al.
JAMA Ophthalmology|July 4, 2019
A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression After TreatmentKishan Gupta, J Peter Campbell, Stanford Taylor, et al.
JAMA Ophthalmology|July 4, 2019
Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep LearningStanford Taylor, James M Brown, Kishan Gupta, et al.
Pageof 26

Showing results (121-130 of 257) with videos related to

Sort By:
Pageof 26
Ophthalmology. Retina|March 17, 2022
Federated Learning for Multicenter Collaboration in Ophthalmology: Improving Classification Performance in Retinopathy of PrematurityCharles Lu, Adam Hanif, Praveer Singh, et al.
Ophthalmology. Retina|March 19, 2022
Federated Learning for Multicenter Collaboration in Ophthalmology: Implications for Clinical Diagnosis and Disease EpidemiologyAdam Hanif, Charles Lu, Ken Chang, et al.
Radiology|September 20, 2022
Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CTCory Robinson-Weiss, Jay Patel, Bernardo C Bizzo, et al.
The Oncologist|December 7, 2013
Low incidence of pseudoprogression by imaging in newly diagnosed glioblastoma patients treated with cediranib in combination with chemoradiationMarco C Pinho, Pavlina Polaskova, Jayashree Kalpathy-Cramer, et al.
Ophthalmology Science|December 7, 2023
Oxygenation Fluctuations Associated with Severe Retinopathy of Prematurity: Insights from a Multimodal Deep Learning ApproachWei-Chun Lin, Brian K Jordan, Brian Scottoline, et al.
Medical Physics|May 18, 2020
Head and neck cancer patient images for determining auto-segmentation accuracy in T2-weighted magnetic resonance imaging through expert manual segmentationsCarlos E Cardenas, Abdallah S R Mohamed, Jinzhong Yang, et al.
Radiology. Artificial Intelligence|April 12, 2021
Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of GlioblastomaKatharina V Hoebel, Jay B Patel, Andrew L Beers, et al.
Ophthalmology Science|October 17, 2022
Improved Training Efficiency for Retinopathy of Prematurity Deep Learning Models Using Comparison versus Class LabelsAdam Hanif, İlkay Yıldız, Peng Tian, et al.
JAMA Ophthalmology|July 4, 2019
A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression After TreatmentKishan Gupta, J Peter Campbell, Stanford Taylor, et al.
JAMA Ophthalmology|July 4, 2019
Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep LearningStanford Taylor, James M Brown, Kishan Gupta, et al.
Pageof 26