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Catalina Raymond

Showing results (61-70 of 66) with videos related to

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Frontiers in Oncology|April 4, 2022
Paradoxical Association Between Relative Cerebral Blood Volume Dynamics Following Chemoradiation and Increased Progression-Free Survival in Newly Diagnosed IDH Wild-Type MGMT Promoter Methylated Glioblastoma With Measurable DiseaseJodi Goldman, Akifumi Hagiwara, Jingwen Yao, et al.
Neuro-Oncology Advances|January 23, 2023
NS-HGlio: A generalizable and repeatable HGG segmentation and volumetric measurement AI algorithm for the longitudinal MRI assessment to inform RANO in trials and clinicsAly H Abayazeed, Ahmed Abbassy, Michael Müeller, et al.
Neuro-Oncology|April 17, 2018
Volumetric response quantified using T1 subtraction predicts long-term survival benefit from cabozantinib monotherapy in recurrent glioblastomaBenjamin M Ellingson, Dana T Aftab, Gisela M Schwab, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|June 29, 2017
Diffusion MRI Phenotypes Predict Overall Survival Benefit from Anti-VEGF Monotherapy in Recurrent Glioblastoma: Converging Evidence from Phase II TrialsBenjamin M Ellingson, Elizabeth R Gerstner, Marion Smits, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications|January 26, 2023
Author Correction: Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Pageof 7

Showing results (61-70 of 66) with videos related to

Sort By:
Pageof 7
You have reached the last page of results.This site can display upto 66 results.
Frontiers in Oncology|April 4, 2022
Paradoxical Association Between Relative Cerebral Blood Volume Dynamics Following Chemoradiation and Increased Progression-Free Survival in Newly Diagnosed IDH Wild-Type MGMT Promoter Methylated Glioblastoma With Measurable DiseaseJodi Goldman, Akifumi Hagiwara, Jingwen Yao, et al.
Neuro-Oncology Advances|January 23, 2023
NS-HGlio: A generalizable and repeatable HGG segmentation and volumetric measurement AI algorithm for the longitudinal MRI assessment to inform RANO in trials and clinicsAly H Abayazeed, Ahmed Abbassy, Michael Müeller, et al.
Neuro-Oncology|April 17, 2018
Volumetric response quantified using T1 subtraction predicts long-term survival benefit from cabozantinib monotherapy in recurrent glioblastomaBenjamin M Ellingson, Dana T Aftab, Gisela M Schwab, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|June 29, 2017
Diffusion MRI Phenotypes Predict Overall Survival Benefit from Anti-VEGF Monotherapy in Recurrent Glioblastoma: Converging Evidence from Phase II TrialsBenjamin M Ellingson, Elizabeth R Gerstner, Marion Smits, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications|January 26, 2023
Author Correction: Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
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