John M. Virostko, Ph.D.
Affiliations: | 2006 | Vanderbilt University, Nashville, TN |
Area:
Biomedical EngineeringGoogle:
"John Virostko"Parents
Sign in to add mentor| E Duco Jansen | grad student | 2006 | Vanderbilt | |
| (In vivo imaging of the islets of Langerhans.) | ||||
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Publications
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| Williams JM, Hilmes MA, Archer B, et al. (2020) Repeatability and Reproducibility of Pancreas Volume Measurements Using MRI. Scientific Reports. 10: 4767 |
| Virostko J, Higgins EM, Wu C, et al. (2020) Abstract PD9-07: The rate of parenchymal enhancement during DCE-MRI reflects response to neoadjuvant therapy Cancer Research. 80 |
| Slavkova KP, DiCarlo JC, Syed AK, et al. (2020) Abstract P6-02-04: Investigating the feasibility of performing quantitative DCE-MRI in an abbreviated breast examination Cancer Research. 80 |
| Jarrett AM, Hormuth DA, Wu C, et al. (2020) Abstract P2-16-17: Optimizing neoadjuvant regimens for individual breast cancer patients generated by a mathematical model utilizing quantitative magnetic resonance imaging data: Preliminary results Cancer Research. 80 |
| Hormuth DA, Sorace AG, Virostko J, et al. (2019) Translating preclinical MRI methods to clinical oncology. Journal of Magnetic Resonance Imaging : Jmri |
| WILLIAMS JM, HILMES MA, ARCHER BT, et al. (2019) 185-LB: Repeatability and Reproducibility of Pancreas Volume Measurements Using MRI Diabetes. 68: 185-LB |
| Sorace A, Virostko J, Wu C, et al. (2019) Abstract P1-01-02: Quantitative breast MRI to predict response to neoadjuvant therapy in community imaging centers: Preliminary results Cancer Research. 79 |
| Lima EA, Faghihi D, Philley R, et al. (2019) Abstract 2446: Stochastic calibration of an agent-based tumor growth model using time-resolved microscopy data Cancer Research. 79: 2446-2446 |
| Sorace AG, Wu C, Barnes SL, et al. (2018) Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting. Journal of Magnetic Resonance Imaging : Jmri |
| Sorace AG, Partridge SC, Li X, et al. (2018) Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial. Journal of Medical Imaging (Bellingham, Wash.). 5: 011019 |