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Plos One
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March 29, 2020
Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastoma
Susan Christine Massey, Haylye White, Paula Whitmire, et al.
Scientific Reports
|
July 13, 2019
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI
Nathan Gaw, Andrea Hawkins-Daarud, Leland S Hu, et al.
NPJ Digital Medicine
|
October 19, 2024
Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma
Hairong Wang, Michael G Argenziano, Hyunsoo Yoon, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 28, 2023
Image-based models of T-cell distribution identify a clinically meaningful response to a dendritic cell vaccine in patients with glioblastoma
Kamila M Bond, Lee Curtin, Andrea Hawkins-Daarud, et al.
Plos One
|
April 3, 2024
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm
Lujia Wang, Hairong Wang, Fulvio D'Angelo, et al.
Scientific Reports
|
February 17, 2021
Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma
Leland S Hu, Lujia Wang, Andrea Hawkins-Daarud, et al.
Plos One
|
December 20, 2023
Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol
Javier C Urcuyo, Lee Curtin, Jazlynn M Langworthy, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
October 26, 2020
Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data
Joseph Ross Mitchell, Konstantinos Kamnitsas, Kyle W Singleton, et al.
Nature Communications
|
September 28, 2023
Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures
Leland S Hu, Fulvio D'Angelo, Taylor M Weiskittel, et al.
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of 2
Search research articles
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Showing results (11-20 of 19) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 19 results.
Plos One
|
March 29, 2020
Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastoma
Susan Christine Massey, Haylye White, Paula Whitmire, et al.
Scientific Reports
|
July 13, 2019
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI
Nathan Gaw, Andrea Hawkins-Daarud, Leland S Hu, et al.
NPJ Digital Medicine
|
October 19, 2024
Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma
Hairong Wang, Michael G Argenziano, Hyunsoo Yoon, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 28, 2023
Image-based models of T-cell distribution identify a clinically meaningful response to a dendritic cell vaccine in patients with glioblastoma
Kamila M Bond, Lee Curtin, Andrea Hawkins-Daarud, et al.
Plos One
|
April 3, 2024
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm
Lujia Wang, Hairong Wang, Fulvio D'Angelo, et al.
Scientific Reports
|
February 17, 2021
Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma
Leland S Hu, Lujia Wang, Andrea Hawkins-Daarud, et al.
Plos One
|
December 20, 2023
Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol
Javier C Urcuyo, Lee Curtin, Jazlynn M Langworthy, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
October 26, 2020
Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data
Joseph Ross Mitchell, Konstantinos Kamnitsas, Kyle W Singleton, et al.
Nature Communications
|
September 28, 2023
Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures
Leland S Hu, Fulvio D'Angelo, Taylor M Weiskittel, et al.
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of 2