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Jayashree Kalpathy-Cramer

Showing results (61-70 of 256) with videos related to

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European Radiology|January 17, 2021
Quantitative tumor heterogeneity MRI profiling improves machine learning-based prognostication in patients with metastatic colon cancerDania Daye, Azadeh Tabari, Hyunji Kim, et al.
The British Journal of Radiology|May 10, 2023
Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?Eric Yang, Matthew D Li, Shruti Raghavan, et al.
Journal of the American Medical Informatics Association : JAMIA|April 5, 2018
Distributed deep learning networks among institutions for medical imagingKen Chang, Niranjan Balachandar, Carson Lam, et al.
IEEE Transactions on Medical Imaging|April 7, 2023
FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image ReconstructionBin Deng, Hanxue Gu, Hongmin Zhu, et al.
Arxiv|September 11, 2023
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big dataGuillermo Lorenzo, Syed Rakin Ahmed, David A Hormuth Ii, et al.
Otolaryngology--Head and Neck Surgery : Official Journal of American Academy of Otolaryngology-Head and Neck Surgery|April 16, 2011
Individualized estimation of conditional survival for patients with head and neck cancerSamuel J Wang, Amanda R Wissel, Celine B Ord, et al.
Ophthalmology. Retina|May 8, 2020
Variability in Plus Disease Identified Using a Deep Learning-Based Retinopathy of Prematurity Severity ScaleRene Y Choi, James M Brown, Jayashree Kalpathy-Cramer, et al.
Cardiovascular and Interventional Radiology|March 24, 2022
Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infrainguinal Endovascular Interventions for Peripheral Arterial DiseaseMeredith Cox, Nicholas Reid, J C Panagides, et al.
Radiology|December 20, 2022
Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic ModelsMishka Gidwani, Ken Chang, Jay Biren Patel, et al.
Tomography (Ann Arbor, Mich.)|August 12, 2017
Computational Challenges and Collaborative Projects in the NCI Quantitative Imaging NetworkKeyvan Farahani, Jayashree Kalpathy-Cramer, Thomas L Chenevert, et al.
Pageof 26

Showing results (61-70 of 256) with videos related to

Sort By:
Pageof 26
European Radiology|January 17, 2021
Quantitative tumor heterogeneity MRI profiling improves machine learning-based prognostication in patients with metastatic colon cancerDania Daye, Azadeh Tabari, Hyunji Kim, et al.
The British Journal of Radiology|May 10, 2023
Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?Eric Yang, Matthew D Li, Shruti Raghavan, et al.
Journal of the American Medical Informatics Association : JAMIA|April 5, 2018
Distributed deep learning networks among institutions for medical imagingKen Chang, Niranjan Balachandar, Carson Lam, et al.
IEEE Transactions on Medical Imaging|April 7, 2023
FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image ReconstructionBin Deng, Hanxue Gu, Hongmin Zhu, et al.
Arxiv|September 11, 2023
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big dataGuillermo Lorenzo, Syed Rakin Ahmed, David A Hormuth Ii, et al.
Otolaryngology--Head and Neck Surgery : Official Journal of American Academy of Otolaryngology-Head and Neck Surgery|April 16, 2011
Individualized estimation of conditional survival for patients with head and neck cancerSamuel J Wang, Amanda R Wissel, Celine B Ord, et al.
Ophthalmology. Retina|May 8, 2020
Variability in Plus Disease Identified Using a Deep Learning-Based Retinopathy of Prematurity Severity ScaleRene Y Choi, James M Brown, Jayashree Kalpathy-Cramer, et al.
Cardiovascular and Interventional Radiology|March 24, 2022
Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infrainguinal Endovascular Interventions for Peripheral Arterial DiseaseMeredith Cox, Nicholas Reid, J C Panagides, et al.
Radiology|December 20, 2022
Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic ModelsMishka Gidwani, Ken Chang, Jay Biren Patel, et al.
Tomography (Ann Arbor, Mich.)|August 12, 2017
Computational Challenges and Collaborative Projects in the NCI Quantitative Imaging NetworkKeyvan Farahani, Jayashree Kalpathy-Cramer, Thomas L Chenevert, et al.
Pageof 26