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Jayashree Kalpathy-Cramer

Showing results (231-240 of 257) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|July 2, 2020
COVID-19 Outpatient Screening: a Prediction Score for Adverse EventsHaoqi Sun, Aayushee Jain, Michael J Leone, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|June 16, 2023
Bavituximab Decreases Immunosuppressive Myeloid-Derived Suppressor Cells in Newly Diagnosed Glioblastoma PatientsK Ina Ly, Leland G Richardson, Mofei Liu, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 6, 2013
Improved tumor oxygenation and survival in glioblastoma patients who show increased blood perfusion after cediranib and chemoradiationTracy T Batchelor, Elizabeth R Gerstner, Kyrre E Emblem, et al.
IEEE Transactions on Medical Imaging|July 15, 2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 ChallengeYoganand Balagurunathan, Andrew Beers, Michael Mcnitt-Gray, et al.
Neuro-Oncology|June 10, 2020
Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomasJerrold L Boxerman, Chad C Quarles, Leland S Hu, et al.
Neuro-Oncology|August 8, 2015
Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trialsBenjamin M Ellingson, Martin Bendszus, Jerrold Boxerman, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)Laura C Bell, Natenael Semmineh, Hongyu An, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|November 24, 2017
Residual Convolutional Neural Network for the Determination of <i>IDH</i> Status in Low- and High-Grade Gliomas from MR ImagingKen Chang, Harrison X Bai, Hao Zhou, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 13, 2017
Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging NetworkDavid C Newitt, Dariya Malyarenko, Thomas L Chenevert, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) ChallengeLaura C Bell, Natenael Semmineh, Hongyu An, et al.
Pageof 26

Showing results (231-240 of 257) with videos related to

Sort By:
Pageof 26
Medrxiv : the Preprint Server for Health Sciences|July 2, 2020
COVID-19 Outpatient Screening: a Prediction Score for Adverse EventsHaoqi Sun, Aayushee Jain, Michael J Leone, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|June 16, 2023
Bavituximab Decreases Immunosuppressive Myeloid-Derived Suppressor Cells in Newly Diagnosed Glioblastoma PatientsK Ina Ly, Leland G Richardson, Mofei Liu, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 6, 2013
Improved tumor oxygenation and survival in glioblastoma patients who show increased blood perfusion after cediranib and chemoradiationTracy T Batchelor, Elizabeth R Gerstner, Kyrre E Emblem, et al.
IEEE Transactions on Medical Imaging|July 15, 2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 ChallengeYoganand Balagurunathan, Andrew Beers, Michael Mcnitt-Gray, et al.
Neuro-Oncology|June 10, 2020
Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomasJerrold L Boxerman, Chad C Quarles, Leland S Hu, et al.
Neuro-Oncology|August 8, 2015
Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trialsBenjamin M Ellingson, Martin Bendszus, Jerrold Boxerman, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)Laura C Bell, Natenael Semmineh, Hongyu An, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|November 24, 2017
Residual Convolutional Neural Network for the Determination of <i>IDH</i> Status in Low- and High-Grade Gliomas from MR ImagingKen Chang, Harrison X Bai, Hao Zhou, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 13, 2017
Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging NetworkDavid C Newitt, Dariya Malyarenko, Thomas L Chenevert, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) ChallengeLaura C Bell, Natenael Semmineh, Hongyu An, et al.
Pageof 26