Author

B. R. Bendok

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Cancer Biology· 4

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Organism:human· 4 Assay:imaging· 4 Approach:statistical model· 3 Research Focus:drug response / drug discovery· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1

Frequent Co-Authors

A. Hawkins-Daarud· 3 shared K. R. Swanson· 3 shared L. S. Hu· 3 shared C. Krishna· 2 shared G. De Leon· 2 shared J. B. Rubin· 2 shared K. Clark-Swanson· 2 shared K. Donev· 2 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

A. Hawkins-Daarud

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Author profile →

4 papers

Recent·Most cited

Graph-based modeling of multiparametric MRI deciphers molecular states of high-grade glioma invasion with prognostic implications

M. J. Flick, M. Kenaston, S. Sarkar, G. M. LaFond, I. Hart, G. Mazza, J. Cramer, B. R. Bendok, A. Turkmani, C. Krishna, R. Zimmerman, J. Parker, J. Li, K. Donev, K. Bhat, , L. S. Hu

This paper uses graph-based modeling of multiparametric MRI to identify molecular states in high-grade glioma and shows their prognostic significance.

bioRxiv · Jul 8, 2026 · PreprintCancer Biology

Mapping multiregional imaging-localized biopsies to MRI habitats reveals biologically significant glioma tissue states and associated patterns of cohabitating cellular subpopulations

L. Curtin, K. M. Bond, P. R. Jackson, A. Hawkins-Daarud, S. Velez, N. Shakir, J. C. Urcuyo, G. De Leon, K. W. Singleton, J. M. Langworthy, K. Clark-Swanson, Y. Lassiter-Morris, L. Paulson, C. Sereduk, C. Krishna, , K. R. Swanson

The paper maps MRI-localized glioma biopsies to MRI habitats, identifying transcriptional tissue states and their association with cellular subpopulations and MRI features.

bioRxiv · Mar 23, 2022 · PreprintCancer Biology

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

S. C. Massey, H. White, P. Whitmire, T. Doyle, S. K. Johnston, K. W. Singleton, P. R. Jackson, A. Hawkins-Daarud, B. R. Bendok, A. B. Porter, S. Vora, J. N. Sarkaria, M. M. Mrugala, K. R. Swanson

The paper uses image-based metrics to predict TMZ response in GBM patients, finding that less invasive tumors show greater volumetric response and improved survival.

bioRxiv · Jan 2, 2019Cancer Biology

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

P. Whitmire, C. R. Rickertsen, A. Hawkins-Daarud, E. Carrasco, J. Lorence, G. De Leon, L. Curtin, S. Bayless, K. Clark-Swanson, N. C. Peeri, C. Corpuz, C. P. Lewis-de los Angeles, B. R. Bendok, L. Gonzalez-Cuyar, S. Vora, , K. R. Swanson

This study identifies sex-specific predictors of survival in glioblastoma patients using MR imaging and clinical data.

bioRxiv · Sep 25, 2018Cancer Biology