J. Virostko

发表

Translating preclinical MRI methods to clinical oncology

R. Gillies, T. Yankeelov, J. Hazle, 2019, Journal of magnetic resonance imaging : JMRI.

Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data

Angela M. Jarrett, David A. Ekrut, Anum S. Kazerouni, 2020, Neoplasia.

Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting

T. Yankeelov, Hakmook Kang, D. Patt, 2018, Journal of magnetic resonance imaging : JMRI.

Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and Opportunities

Angela M. Jarrett, G. Biros, T. Yankeelov, 2020, Journal of clinical medicine.

Magnetization Transfer MRI of Breast Cancer in the Community Setting: Reproducibility and Preliminary Results in Neoadjuvant Therapy

Angela M. Jarrett, David A. Ekrut, T. Yankeelov, 2019, Tomography.

Molecular Imaging of Therapeutic Response to Epidermal Growth Factor Receptor Blockade in Colorectal Cancer

John C Gore, Bonnie LaFleur, Todd E Peterson, 2008, Clinical Cancer Research.

An untrained deep learning method for reconstructing dynamic magnetic resonance images from accelerated model-based data

Austin, The University of Texas at Austin, Department of Radiation Oncology, 2022, 2205.01604.

SPARCL1 suppresses metastasis in prostate cancer

R. Matusik, S. Hayward, D. Strand, 2013, Molecular oncology.

Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology.

T. Yankeelov, D. Patt, G. Lorenzo, 2022, Biophysics reviews.

Repeatability and Reproducibility of Pancreas Volume Measurements Using MRI

Hakmook Kang, W. Russell, J. Virostko, 2020, Scientific Reports.

Use of the Electronic Medical Record to Assess Pancreas Size in Type 1 Diabetes

J. Virostko, A. Powers, D. Moore, 2016, PloS one.

Magnetic nanoparticles for imaging dendritic cells

J. Gore, M. Does, J. Virostko, 2010, Magnetic resonance in medicine.

Detection of breast cancer microcalcification using (99m)Tc-MDP SPECT or Osteosense 750EX FMT imaging.

J. Gore, T. Yankeelov, M. Sanders, 2015, Nuclear medicine and biology.

Quantitative Correlation of in Vivo Properties with in Vitro Assay Results: The in Vitro Binding of a Biotin-DNA Analogue Modifier with Streptavidin Predicts the in Vivo Avidin-Induced Clearability of the Analogue-Modified Antibody.

J. Virostko, A. Powers, D. Greiner, 2015, Molecular pharmaceutics.

Molecular imaging of the pancreas in small animal models.

J. Virostko, A. Powers, John Virostko, 2009, Gastroenterology.

Differentiation between temporary and real non-clearability of biotinylated IgG antibody by avidin in mice

J. Virostko, A. Powers, D. Greiner, 2014, Front. Pharmacol..

A Feasible Approach to Evaluate the Relative Reactivity of NHS-Ester Activated Group with Primary Amine-Derivatized DNA Analogue and Non-Derivatized Impurity

J. Virostko, A. Powers, D. Greiner, 2015, Nucleosides, nucleotides & nucleic acids.

An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data

Jonathan I. Tamir, T. Yankeelov, J. Virostko, 2022, Magnetic resonance in medicine.

Quantifying the Effects of Combination Trastuzumab and Radiation Therapy in Human Epidermal Growth Factor Receptor 2-Positive Breast Cancer

T. Yankeelov, A. Sorace, J. Virostko, 2020, Cancers.

Bioluminescence Imaging Reveals Dynamics of Beta Cell Loss in the Non-Obese Diabetic (NOD) Mouse Model

A. Dula, J. Virostko, A. Powers, 2013, PloS one.

Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast

Anum S. Kazerouni, T. Yankeelov, D. Patt, 2022, Magnetic resonance in medicine.

A Molecular Imaging Paradigm to Rapidly Profile Response to Angiogenesis-directed Therapy in Small Animals

John C. Gore, Carlos L. Arteaga, Jingping Xie, 2009, Molecular Imaging and Biology.

Non-Invasive Bioluminescence Imaging of β-Cell Function in Obese-Hyperglycemic [ob/ob] Mice

B. Connolly, J. Virostko, R. Hargreaves, 2014, PloS one.

Factors influencing quantification of in vivo bioluminescence imaging: application to assessment of pancreatic islet transplants.

E. Jansen, J. Virostko, A. Powers, 2004, Molecular imaging.

An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines

T. Yankeelov, A. Brock, D. Hormuth, 2020, bioRxiv.

Quantifying Tumor Heterogeneity via MRI Habitats to Characterize Microenvironmental Alterations in HER2+ Breast Cancer

Anum S. Kazerouni, T. Yankeelov, D. Hormuth, 2022, Cancers.

Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting

Angela M. Jarrett, Anum S. Kazerouni, T. Yankeelov, 2021, Breast cancer research : BCR.

Longitudinal FRET Imaging of Glucose and Lactate Dynamics and Response to Therapy in Breast Cancer Cells

Anum S. Kazerouni, T. Yankeelov, H. Yeh, 2021, Molecular Imaging and Biology.

Ectonucleoside Triphosphate Diphosphohydrolase-3 Antibody Targets Adult Human Pancreatic β Cells for In Vitro and In Vivo Analysis.

Diane C. Saunders, S. Levy, D. Flaherty, 2019, Cell metabolism.