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Jayashree Kalpathy-Cramer

Showing results (111-120 of 257) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|February 17, 2021
Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglementCaleb Robinson, Anusua Trivedi, Marian Blazes, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of PrematurityAaron S Coyner, Ryan Swan, James M Brown, et al.
Radiology. Artificial Intelligence|May 3, 2021
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis CompetitionsLuciano M Prevedello, Safwan S Halabi, George Shih, et al.
The British Journal of Ophthalmology|November 25, 2018
Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurityTravis K Redd, John Peter Campbell, James M Brown, et al.
JAMA Ophthalmology|April 2, 2026
Precision Risk Model Using Quantitative Assessment of Vascular Severity in Telemedicine-Based ScreeningJohn Placide, Aaron S Coyner, Susan R Ostmo, et al.
Interface Focus|October 7, 2016
Multimodality imaging and mathematical modelling of drug delivery to glioblastomasAhmed Boujelben, Michael Watson, Steven McDougall, et al.
Ophthalmology|March 22, 2020
Aggressive Posterior Retinopathy of Prematurity: Clinical and Quantitative Imaging Features in a Large North American CohortKellyn N Bellsmith, James Brown, Sang Jin Kim, et al.
Translational Vision Science & Technology|June 24, 2025
Optic Cup and Disc Segmentation of Fundus Images Using Artificial Intelligence Externally Validated With Optical Coherence Tomography MeasurementsScott Kinder, Steve McNamara, Christopher Clark, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 9, 2025
Machine learning evaluation of pneumonia severity: subgroup performance in the Medical Imaging and Data Resource Center modified radiographic assessment of lung edema mastermind challengeKaren Drukker, Samuel G Armato, Lubomir Hadjiiski, et al.
Plos One|October 6, 2022
Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglementAnusua Trivedi, Caleb Robinson, Marian Blazes, et al.
Pageof 26

Showing results (111-120 of 257) with videos related to

Sort By:
Pageof 26
Medrxiv : the Preprint Server for Health Sciences|February 17, 2021
Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglementCaleb Robinson, Anusua Trivedi, Marian Blazes, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of PrematurityAaron S Coyner, Ryan Swan, James M Brown, et al.
Radiology. Artificial Intelligence|May 3, 2021
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis CompetitionsLuciano M Prevedello, Safwan S Halabi, George Shih, et al.
The British Journal of Ophthalmology|November 25, 2018
Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurityTravis K Redd, John Peter Campbell, James M Brown, et al.
JAMA Ophthalmology|April 2, 2026
Precision Risk Model Using Quantitative Assessment of Vascular Severity in Telemedicine-Based ScreeningJohn Placide, Aaron S Coyner, Susan R Ostmo, et al.
Interface Focus|October 7, 2016
Multimodality imaging and mathematical modelling of drug delivery to glioblastomasAhmed Boujelben, Michael Watson, Steven McDougall, et al.
Ophthalmology|March 22, 2020
Aggressive Posterior Retinopathy of Prematurity: Clinical and Quantitative Imaging Features in a Large North American CohortKellyn N Bellsmith, James Brown, Sang Jin Kim, et al.
Translational Vision Science & Technology|June 24, 2025
Optic Cup and Disc Segmentation of Fundus Images Using Artificial Intelligence Externally Validated With Optical Coherence Tomography MeasurementsScott Kinder, Steve McNamara, Christopher Clark, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 9, 2025
Machine learning evaluation of pneumonia severity: subgroup performance in the Medical Imaging and Data Resource Center modified radiographic assessment of lung edema mastermind challengeKaren Drukker, Samuel G Armato, Lubomir Hadjiiski, et al.
Plos One|October 6, 2022
Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglementAnusua Trivedi, Caleb Robinson, Marian Blazes, et al.
Pageof 26