Radiogenomics to Characterize Regional Genetic Heterogeneity in Glioblastoma L Hu, S Ning, J Eschbacher, L Baxter, N Gaw, S Ranjbar, J Plasencia, ... Neuro-Oncology 18 (suppl_6), vi124-vi124, 2016 | 219 | 2016 |
Multi-parametric MRI and texture analysis to visualize spatial histologic heterogeneity and tumor extent in glioblastoma LS Hu, S Ning, JM Eschbacher, N Gaw, AC Dueck, KA Smith, P Nakaji, ... PloS one 10 (11), e0141506, 2015 | 133 | 2015 |
Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study BK Patel, S Ranjbar, T Wu, BA Pockaj, J Li, N Zhang, M Lobbes, B Zhang, ... European journal of radiology 98, 207-213, 2018 | 74 | 2018 |
MRI-based texture analysis to differentiate sinonasal squamous cell carcinoma from inverted papilloma S Ramkumar, S Ranjbar, S Ning, D Lal, CM Zwart, CP Wood, ... American Journal of Neuroradiology 38 (5), 1019-1025, 2017 | 58 | 2017 |
Computed tomography-based texture analysis to determine human papillomavirus status of oropharyngeal squamous cell carcinoma S Ranjbar, S Ning, CM Zwart, CP Wood, SM Weindling, T Wu, JR Mitchell, ... Journal of computer assisted tomography 42 (2), 299-305, 2018 | 35 | 2018 |
A deep convolutional neural network for annotation of magnetic resonance imaging sequence type S Ranjbar, KW Singleton, PR Jackson, CR Rickertsen, SA Whitmire, ... Journal of digital imaging, 1-8, 2019 | 28 | 2019 |
Brain MR radiomics to differentiate cognitive disorders S Ranjbar, SN Velgos, AC Dueck, YE Geda, JR Mitchell, ... The Journal of neuropsychiatry and clinical neurosciences 31 (3), 210-219, 2019 | 27 | 2019 |
An introduction to radiomics: an evolving cornerstone of precision medicine S Ranjbar, JR Mitchell Biomedical Texture Analysis, 223-245, 2017 | 24 | 2017 |
Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data JR Mitchell, K Kamnitsas, KW Singleton, SA Whitmire, KR Clark-Swanson, ... J Medical Imaging 7 (5), 055501 (2020) https://doi.org/10.1117/1, 2020 | 16 | 2020 |
Robust automatic whole brain extraction on magnetic resonance imaging of brain tumor patients using dense-Vnet S Ranjbar, KW Singleton, L Curtin, CR Rickertsen, LE Paulson, LS Hu, ... arXiv preprint arXiv:2006.02627, 2020 | 4 | 2020 |
Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol JC Urcuyo, L Curtin, JM Langworthy, G De Leon, B Anderies, ... PloS one 18 (12), e0287767, 2023 | 3 | 2023 |
Sex Differences in Predicting Fluid Intelligence of Adolescent Brain from T1-weighted MRIs S Ranjbar, KW Singleton, L Curtin, SC Massey, A Hawkins-Daarud, ... arXiv:1908.02333, 2019 | 3 | 2019 |
An image-based modeling framework for predicting spatiotemporal brain cancer biology within individual patients KM Bond, L Curtin, S Ranjbar, AE Afshari, LS Hu, JB Rubin, KR Swanson Frontiers in Oncology 13, 2023 | 2 | 2023 |
Multiparametric magnetic resonance imaging and texture analysis to distinguish Sinonasal Inverted Papilloma from Squamous Cell Carcinoma S Ramkumar, S Ranjbar, S Ning, D Lal, CP Wood, CM Zwart, T Wu, ... Journal of Neurological Surgery Part B: Skull Base 77 (S 01), A041, 2016 | 2 | 2016 |
Towards Longitudinal Glioma Segmentation: Evaluating combined pre-and post-treatment MRI training data for automated tumor segmentation using nnU-Net S Ranjbar, KW Singleton, L Curtin, L Paulson, K Clark-Swanson, ... medRxiv, 2023 | 1 | 2023 |
Weakly Supervised Skull Stripping of Magnetic Resonance Imaging of Brain Tumor Patients S Ranjbar, KW Singleton, L Curtin, CR Rickertsen, LE Paulson, LS Hu, ... Frontiers in Neuroimaging 1, 5, 2022 | 1 | 2022 |
Sex Differences in Contrast-Enhancing Gliomas at Presentation S Johnston, A Khurana, P Whitmire, A Sharma, A Hawkins-Daarud, ... Neuro-oncology 21 (Suppl 6), vi174, 2019 | 1 | 2019 |
Sex Differences in Seizure at Presentation in Glioma Population S Ranjbar, BJ Anderies, KW Singleton, SK Johnston, CR Rickertsen, ... bioRxiv, doi: https://doi.org/10.1101/718791, 2019 | 1 | 2019 |
Localization of Erlotinib Relative to MRI-based Tumor Extent in PDX Glioblastoma Model: Towards a Mathematical Model for the Interface Between MRI and Drug Distribution P Jackson, S Ranjbar, E Randall, M Regan, W Abdelmoula, B Lopez, ... Neuro-Oncology 20 (suppl_6), vi269-vi270, 2018 | 1* | 2018 |
Radiogenomics to characterize regional genetic heterogeneity in Glioblastoma L Hu, S Ning, J Eschbacher, L Baxter, N Gaw, S Ranjbar, J Plasencia, ... Neuro-Oncology 18 (suppl_6), vi124-vi124, 2016 | 1 | 2016 |