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Jayashree Kalpathy-Cramer

Showing results (11-20 of 256) with videos related to

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Studies in Health Technology and Informatics|May 20, 2008
Using medline queries to generate image retrieval tasks for benchmarkingHenning Müller, Jayashree Kalpathy-Cramer, William Hersh, et al.
Radiologic Clinics of North America|October 25, 2021
Basic Artificial Intelligence Techniques: Evaluation of Artificial Intelligence PerformanceJayashree Kalpathy-Cramer, Jay B Patel, Christopher Bridge, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 10, 2015
A decade of community-wide efforts in advancing medical image understanding and retrievalDina Demner-Fushman, Sameer Antani, Jayashree Kalpathy-Cramer, et al.
Journal of the American Medical Informatics Association : JAMIA|March 21, 2020
Accounting for data variability in multi-institutional distributed deep learning for medical imagingNiranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, et al.
Journal of the American Medical Informatics Association : JAMIA|June 29, 2020
Corrigendum to: Accounting for data variability in multi-institutional distributed deep learning for medical imagingNiranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, et al.
Studies in Health Technology and Informatics|August 8, 2013
Developing a survey to assess factors that contribute to physician involvement in clinical researchVanina Taliercio, Judith R Logan, Jayashree Kalpathy-Cramer, et al.
Radiology. Artificial Intelligence|October 7, 2021
RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical ApplicationsJohn Mongan, Jayashree Kalpathy-Cramer, Adam Flanders, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|December 24, 2011
A pilot prospective feasibility study of organ-at-risk definition using Target Contour Testing/Instructional Computer Software (TaCTICS), a training and evaluation platform for radiotherapy target delineationJayashree Kalpathy-Cramer, Steven D Bedrick, Kelly Boccia, et al.
Journal of the American College of Radiology : JACR|January 8, 2021
In the Era of Deep Learning, Why Reconstruct an Image at All?Caroline Chung, Jayashree Kalpathy-Cramer, Michael V Knopp, et al.
Clinical Ophthalmology (Auckland, N.Z.)|June 7, 2023
Artificial Intelligence and Glaucoma: Going Back to BasicsSaif Aldeen AlRyalat, Praveer Singh, Jayashree Kalpathy-Cramer, et al.
Pageof 26

Showing results (11-20 of 256) with videos related to

Sort By:
Pageof 26
Studies in Health Technology and Informatics|May 20, 2008
Using medline queries to generate image retrieval tasks for benchmarkingHenning Müller, Jayashree Kalpathy-Cramer, William Hersh, et al.
Radiologic Clinics of North America|October 25, 2021
Basic Artificial Intelligence Techniques: Evaluation of Artificial Intelligence PerformanceJayashree Kalpathy-Cramer, Jay B Patel, Christopher Bridge, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 10, 2015
A decade of community-wide efforts in advancing medical image understanding and retrievalDina Demner-Fushman, Sameer Antani, Jayashree Kalpathy-Cramer, et al.
Journal of the American Medical Informatics Association : JAMIA|March 21, 2020
Accounting for data variability in multi-institutional distributed deep learning for medical imagingNiranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, et al.
Journal of the American Medical Informatics Association : JAMIA|June 29, 2020
Corrigendum to: Accounting for data variability in multi-institutional distributed deep learning for medical imagingNiranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, et al.
Studies in Health Technology and Informatics|August 8, 2013
Developing a survey to assess factors that contribute to physician involvement in clinical researchVanina Taliercio, Judith R Logan, Jayashree Kalpathy-Cramer, et al.
Radiology. Artificial Intelligence|October 7, 2021
RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical ApplicationsJohn Mongan, Jayashree Kalpathy-Cramer, Adam Flanders, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|December 24, 2011
A pilot prospective feasibility study of organ-at-risk definition using Target Contour Testing/Instructional Computer Software (TaCTICS), a training and evaluation platform for radiotherapy target delineationJayashree Kalpathy-Cramer, Steven D Bedrick, Kelly Boccia, et al.
Journal of the American College of Radiology : JACR|January 8, 2021
In the Era of Deep Learning, Why Reconstruct an Image at All?Caroline Chung, Jayashree Kalpathy-Cramer, Michael V Knopp, et al.
Clinical Ophthalmology (Auckland, N.Z.)|June 7, 2023
Artificial Intelligence and Glaucoma: Going Back to BasicsSaif Aldeen AlRyalat, Praveer Singh, Jayashree Kalpathy-Cramer, et al.
Pageof 26