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Jayashree Kalpathy-Cramer

Showing results (41-50 of 256) with videos related to

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IEEE Transactions on Medical Imaging|January 24, 2017
Personalized Radiotherapy Planning Based on a Computational Tumor Growth ModelMatthieu Le, Herve Delingette, Jayashree Kalpathy-Cramer, et al.
Frontiers in Neuroinformatics|June 7, 2014
Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewerDavid A Gutman, William D Dunn, Jake Cobb, et al.
Journal of the American College of Radiology : JACR|April 28, 2022
External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It's a Brave New WorldAli Ardestani, Matthew D Li, Pauley Chea, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 22, 2014
Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013Jayashree Kalpathy-Cramer, Alba García Seco de Herrera, Dina Demner-Fushman, et al.
Clinical Imaging|May 29, 2023
An interpretable machine learning model for the prevention of contrast-induced nephropathy in patients undergoing lower extremity endovascular interventions for peripheral arterial diseaseMeredith Cox, J C Panagides, John Di Capua, et al.
Journal of Digital Imaging|September 18, 2013
Development of a software for quantitative evaluation radiotherapy target and organ-at-risk segmentation comparisonJayashree Kalpathy-Cramer, Musaddiq Awan, Steven Bedrick, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 1, 2016
Reliable estimation of microvascular flow patterns in patients with disrupted blood-brain barrier using dynamic susceptibility contrast MRIMikkel Bo Hansen, Anna Tietze, Jayashree Kalpathy-Cramer, et al.
Annals of Surgical Oncology|January 6, 2011
An interactive tool for individualized estimation of conditional survival in rectal cancerSamuel J Wang, Amanda R Wissel, Join Y Luh, et al.
Skeletal Radiology|May 20, 2021
Artificial intelligence applied to musculoskeletal oncology: a systematic reviewMatthew D Li, Syed Rakin Ahmed, Edwin Choy, et al.
Physiological Reports|August 20, 2020
Exercise-induced calf muscle hyperemia: Rapid mapping of magnetic resonance imaging using deep learning approachJeff L Zhang, Christopher C Conlin, Xiaowan Li, et al.
Pageof 26

Showing results (41-50 of 256) with videos related to

Sort By:
Pageof 26
IEEE Transactions on Medical Imaging|January 24, 2017
Personalized Radiotherapy Planning Based on a Computational Tumor Growth ModelMatthieu Le, Herve Delingette, Jayashree Kalpathy-Cramer, et al.
Frontiers in Neuroinformatics|June 7, 2014
Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewerDavid A Gutman, William D Dunn, Jake Cobb, et al.
Journal of the American College of Radiology : JACR|April 28, 2022
External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It's a Brave New WorldAli Ardestani, Matthew D Li, Pauley Chea, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 22, 2014
Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013Jayashree Kalpathy-Cramer, Alba García Seco de Herrera, Dina Demner-Fushman, et al.
Clinical Imaging|May 29, 2023
An interpretable machine learning model for the prevention of contrast-induced nephropathy in patients undergoing lower extremity endovascular interventions for peripheral arterial diseaseMeredith Cox, J C Panagides, John Di Capua, et al.
Journal of Digital Imaging|September 18, 2013
Development of a software for quantitative evaluation radiotherapy target and organ-at-risk segmentation comparisonJayashree Kalpathy-Cramer, Musaddiq Awan, Steven Bedrick, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 1, 2016
Reliable estimation of microvascular flow patterns in patients with disrupted blood-brain barrier using dynamic susceptibility contrast MRIMikkel Bo Hansen, Anna Tietze, Jayashree Kalpathy-Cramer, et al.
Annals of Surgical Oncology|January 6, 2011
An interactive tool for individualized estimation of conditional survival in rectal cancerSamuel J Wang, Amanda R Wissel, Join Y Luh, et al.
Skeletal Radiology|May 20, 2021
Artificial intelligence applied to musculoskeletal oncology: a systematic reviewMatthew D Li, Syed Rakin Ahmed, Edwin Choy, et al.
Physiological Reports|August 20, 2020
Exercise-induced calf muscle hyperemia: Rapid mapping of magnetic resonance imaging using deep learning approachJeff L Zhang, Christopher C Conlin, Xiaowan Li, et al.
Pageof 26