Search Results - "Singleton, Kyle"

Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol.

Authors: Urcuyo, Javier C Curtin, Lee Langworthy, Jazlynn M. et al.

Source: PLoS ONE. 12/20/2023, Vol. 18 Issue 12, p1-19. 19p.

A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type.

Authors: Ranjbar, Sara Singleton, Kyle W. Jackson, Pamela R. et al.

Source: Journal of Digital Imaging; Apr2020, Vol. 33 Issue 2, p439-446, 8p, 3 Diagrams, 2 Charts, 1 Graph

Project QUIT (Quit Using Drugs Intervention Trial): a randomized controlled trial of a primary care-based multi-component brief intervention to reduce risky drug use.

Authors: Gelberg, Lillian Andersen, Ronald M. Afifi, Abdelmonem A. et al.

Source: Addiction. Nov2015, Vol. 110 Issue 11, p1777-1790.

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.

Authors: Wang, Lujia Wang, Hairong D'Angelo, Fulvio et al.

Source: PLoS ONE. 4/3/2024, Vol. 19 Issue 4, p1-19. 19p.

Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients.

Authors: Whitmire, Paula Rickertsen, Cassandra R. Hawkins-Daarud, Andrea et al.

Source: BMC Cancer. 5/19/2020, Vol. 20 Issue 1, p1-10. 10p. 1 Color Photograph, 2 Diagrams, 4 Charts.

Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma.

Authors: Hu, Leland S. Wang, Lujia Hawkins-Daarud, Andrea et al.

Source: Scientific Reports. 2/16/2021, Vol. 11 Issue 1, p1-14. 14p.

Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastoma.

Authors: Massey, Susan Christine White, Haylye Whitmire, Paula et al.

Source: PLoS ONE. 3/27/2020, Vol. 15 Issue 3, p1-18. 18p.

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI.

Authors: Gaw, Nathan Hawkins-Daarud, Andrea Hu, Leland S. et al.

Source: Scientific Reports. 7/11/2019, Vol. 9 Issue 1, pN.PAG-N.PAG. 1p.

NIMG-07. DEEP LEARNING DETECTS DIFFERENCES IN THE MRIs OF MALE AND FEMALE GLIOMAS.

Authors: Singleton, Kyle Mitchell, Joseph Ranjbar, Sara et al.

Source: Neuro-oncology 2018 Supplement; Vol. 20.

Journal Info: Publisher: Oxford University Press / USA ISSN: 1522-8517