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Identification

Personal identification

Full name
Tom Yankeelov

Author identifiers

Ciência ID
7114-FEB9-5615
ORCID iD
0000-0001-6201-3913
Education
Degree Classification
2003
Concluded
 Ph.D. Biomedical Engineering (Doctor of Philosophy)
State University of New York, United States
2000
Concluded
 M.S. Physics (Master)
Indiana University System, United States
1998
Concluded
 M.A. Applied Mathematics (Master)
Indiana University System, United States
1996
Concluded
 B.A. Mathematics (Bachelor)
University of Louisville, United States
Affiliation

Science

Category
Host institution 		Employer
2003/05 - 2005/06 Researcher (Research) Vanderbilt University, United States
2003 - 2005 Postdoc (Research) Vanderbilt University, United States
2000/09 - 2003/05 Research Assistant (Research) State University of New York, United States
2000/06 - 2000/08 Invited Auxiliary Researcher (Research) Brookhaven National Laboratory, United States

Teaching in Higher Education

Category
Host institution 		Employer
2016/01 - Current Full Professor (University Teacher) The University of Texas at Austin, United States
2014/01 - 2015/12 Full Professor (University Teacher) Vanderbilt University, United States
2010/01 - 2013/12 Associate Professor (University Teacher) Vanderbilt University, United States
2005/07 - 2009/12 Assistant Professor (University Teacher) Vanderbilt University, United States
1996/08 - 2000/05 Assistant (University Teacher) Indiana University System, United States
Projects

Grant

Designation Funders
2019/09/19 - 2024/08/31 Integrating Omics and Quantitative Imaging Data in Co-Clinical Trials to Predict Treatment Response in Triple Negative Breast Cancer
1U24 CA226110
Principal investigator
The University of Texas at Austin, United States

Baylor College of Medicine, United States

Stanford University, United States
National Cancer Institute
Ongoing
2020/04/01 - 2024/03/31 Personalizing immunotherapy in HER2 breast cancer through quantitative imaging
1R01CA240589
Principal investigator
The University of Texas at Austin, United States

The University of Alabama at Birmingham, United States
National Cancer Institute
Ongoing
2019/09/09 - 2023/12/31 First in Human Study of Rhenium Nanoliposomes (RNL186) in Recurrent Glioma
1R01 CA235800
Principal investigator
The University of Texas at Austin, United States

The University of Texas at San Antonio, United States
National Cancer Institute
Ongoing
2019/08/01 - 2021/06/30 Disposable Perfusion Phantom for Accurate DCE-MRI Measurement of Pancreatic Cancer Therapy Response
UG3/UH3
Principal investigator
The University of Texas at Austin, United States

The University of Alabama at Birmingham, United States

Vanderbilt University, United States
National Cancer Institute
Ongoing
2015/12/01 - 2020/11/30 Predictive Oncology through Advanced in vivo Imaging
RR160005
Principal investigator
The University of Texas at Austin, United States
 Cancer Prevention and Research Institute of Texas
Ongoing
2017/09/01 - 2020/08/31 Quantitative MRI for Predicting Response of Breast Cancer to Neoadjuvant Therapy
5U01 CA142565
Principal investigator
The University of Texas at Austin, United States

The University of Chicago, United States
National Cancer Institute
Ongoing
2016/01/01 - 2020/07/31 Quantitative Multiscale Imaging to Optimize Cancer Treatment Strategies
1R01 CA186193
Principal investigator
The University of Texas at Austin, United States

Vanderbilt University, United States
National Cancer Institute
Ongoing
2013/06/01 - 2020/02/29 Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast Cancer
1U01 CA174706
Principal investigator
The University of Texas at Austin, United States

Vanderbilt University, United States
National Cancer Institute
Concluded
Outputs

Publications

Book
  1. Li, X.; Arlinghaus, L.R.; Chakravarthy, A.B.; Farley, J.; Mayer, I.A.; Abramson, V.G.; Kelley, M.C.; et al. Early DCE-MRI changes after longitudinal registration may predict breast cancer response to neoadjuvant chemotherapy. 2012.
    10.1007/978-3-642-31340-0_24
  2. Yankeelov, Tom; Pickens, David R. Quantitative Magnetic Resonance Imaging in Cancer. Imaging in Medical Diagnosis and Therapy. 2011.
Book chapter
  1. Hormuth, D.A.; Eldridge, S.L.; Weis, J.A.; Miga, M.I.; Yankeelov, T.E.. "Mechanically coupled reaction-diffusion model to predict glioma growth: Methodological details". 225-241. 2018.
    10.1007/978-1-4939-7493-1_11
  2. Ortega, R.A.; Yankeelov, T.E.; Giorgio, T.D.. "Magnetic nanoparticles for magnetic resonance imaging: A translational push toward theranostics". 521-548. 2016.
  3. Abramson, R.G.; Yankeelov, T.E.. "Imaging biomarkers and surrogate endpoints in oncology clinical trials". 29-42. 2014.
Conference paper
  1. Woodall, R.T.; Hormuth, D.A.; Abdelmalik, M.R.A.; Wu, C.; Feng, X.; Phillips, W.T.; Bao, A.; et al. "Integrating quantitative imaging and computational modeling to predict the spatiotemporal distribution of 186Re nanoliposomes for recurrent glioblastoma treatment". 2019.
    10.1117/12.2512867
  2. DeGrandchamp, J.B.; Whisenant, J.G.; Arlinghaus, L.R.; Abramson, V.G.; Yankeelov, T.E.; Cárdenas-Rodríguez, J.. "Predicting response before initiation of neoadjuvant chemotherapy in breast cancer using new methods for the analysis of dynamic contrast enhanced MRI (DCE MRI) data". 2016.
    10.1117/12.2217008
  3. Flint, K.M.; Weis, J.A.; Yankeelov, T.E.; Miga, M.I.. "Voxel-level reproducibility assessment of modality independent elastography in a pre-clinical murine model". 2015.
    10.1117/12.2082230
  4. Weis, J.A.; Johnsen, A.M.; Wile, G.E.; Yankeelov, T.E.; Abramson, R.G.; Miga, M.I.. "Development of a diaphragmatic motion-based elastography framework for assessment of liver stiffness". 2015.
    10.1117/12.2081257
  5. Conley, R.H.; Meszoely, I.M.; Pheiffer, T.S.; Weis, J.A.; Yankeelov, T.E.; Miga, M.I.. "Image to physical space registration of supine breast MRI for image guided breast surgery". 2014.
    10.1117/12.2043817
  6. Kim, D.K.; Weis, J.A.; Yankeelov, T.E.; Miga, M.I.. "Utilizing a reference material for assessing absolute tumor mechanical properties in modality independent elastography". 2014.
    10.1117/12.2044195
  7. Barnes, S.L.; Whisenant, J.G.; Li, X.; Yankeelov, T.E.. "Techniques and applications of dynamic contrast enhanced magnetic resonance imaging in cancer". 2014.
    10.1109/EMBC.2014.6944566
  8. Weis, J.A.; Kim, D.K.; Yankeelov, T.E.; Miga, M.I.. "Validation and reproducibility assessment of modality independent elastography in a pre-clinical model of breast cancer". 2014.
    10.1117/12.2042796
  9. Weis, J.A.; Miga, M.I.; Li, X.; Arlinghaus, L.R.; Chakravarthy, A.B.; Abramson, V.; Abramson, R.G.; Farley, J.; Yankeelov, T.E.. "A mechanically coupled reaction diffusion model of breast tumor response during neoadjuvant chemotherapy". 2013.
    10.1117/12.2007961
  10. Hormuth, D.A.; Yankeelov, T.E.. "In vivo imaging to initialize a biophysical model of tumor growth: Preliminary results". 2013.
    10.1109/BSEC.2013.6618487
  11. Weisa, J.A.; Yankeelov, T.E.; Munoz, S.A.; Sastry, R.A.; Barnes, S.L.; Arlinghaus, L.R.; Li, X.; Miga, M.I.. "A consistent pre-clinical/clinical elastography approach for assessing tumor mechanical properties in therapeutic systems". 2013.
    10.1117/12.2007425
  12. Smith, D.S.; Arlinghaus, L.R.; Yankeelov, T.E.; Welch, E.B.. "Curvelets as a sparse basis for compressed sensing magnetic resonance imaging". 2013.
    10.1117/12.2007032
  13. Yankeelov, T.E.; Atuegwu, N.C.; Gore, J.C.. "Computational modeling in quantitative cancer imaging". 2009.
    10.1109/BSEC.2009.5090456
  14. Li, X.; Dawant, B.M.; Welch, E.B.; Chakravarthy, A.B.; Freehardt, D.; Mayer, I.; Kelley, M.; et al. "Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response". 2009.
    10.1117/12.811216
  15. Li, X.; Yankeelov, T.E.; Peterson, T.E.; Gore, J.C.; Dawanf, B.M.. "Constrained non-rigid registration for whole body image registration: Method and validation". 2007.
    10.1117/12.709026
  16. Li, X.; Yankeelov, T.E.; Rosen, G.; Gore, J.C.; Dawant, B.M.. "Multi-modal inter-subject registration of mouse brain images". 2006.
    10.1117/12.652407
Journal article
  1. Chen, Y.-I.; Chang, Y.-J.; Liao, S.-C.; Nguyen, T.D.; Yang, J.; Kuo, Y.-A.; Hong, S.; et al. "Generative adversarial network enables rapid and robust fluorescence lifetime image analysis in live cells". Communications Biology 5 1 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85122790808&partnerID=MN8TOARS.
    10.1038/s42003-021-02938-w
  2. Yang, J.; Davis, T.; Kazerouni, A.S.; Chen, Y.-I.; Bloom, M.J.; Yeh, H.-C.; Yankeelov, T.E.; Virostko, J.. "Longitudinal FRET Imaging of Glucose and Lactate Dynamics and Response to Therapy in Breast Cancer Cells". Molecular Imaging and Biology 24 1 (2022): 144-155. http://www.scopus.com/inward/record.url?eid=2-s2.0-85116433059&partnerID=MN8TOARS.
    10.1007/s11307-021-01639-4
  3. Yang, J.; Davis, T.; Kazerouni, A.S.; Chen, Y.-I.; Bloom, M.J.; Yeh, H.-C.; Yankeelov, T.E.; Virostko, J.. "Correction to: Longitudinal FRET Imaging of Glucose and Lactate Dynamics and Response to Therapy in Breast Cancer Cells (Molecular Imaging and Biology, (2022), 24, 1, (144-155), 10.1007/s11307-021-01639-4)". Molecular Imaging and Biology 24 1 (2022): 156-156. http://www.scopus.com/inward/record.url?eid=2-s2.0-85118444161&partnerID=MN8TOARS.
    10.1007/s11307-021-01676-z
  4. Liu, J.; Hormuth, D.A.; Yang, J.; Yankeelov, T.E.. "A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data". Frontiers in Oncology 12 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85124964385&partnerID=MN8TOARS.
    10.3389/fonc.2022.811415
  5. Surov, A.; Kim, J.Y.; Aiello, M.; Huang, W.; Yankeelov, T.E.; Wienke, A.; Pech, M.. "Associations between Dynamic Contrast Enhanced Magnetic Resonance Imaging and Clinically Relevant Histopathological Features in Breast Cancer: A Multicenter Analysis". In Vivo 36 1 (2022): 398-408. http://www.scopus.com/inward/record.url?eid=2-s2.0-85123037706&partnerID=MN8TOARS.
    10.21873/INVIVO.12717
  6. Holland, M.D.; Morales, A.; Simmons, S.; Smith, B.; Misko, S.R.; Jiang, X.; Hormuth, D.A.; et al. "Disposable point-of-care portable perfusion phantom for quantitative DCE-MRI". Medical Physics 49 1 (2022): 271-281. http://www.scopus.com/inward/record.url?eid=2-s2.0-85120849172&partnerID=MN8TOARS.
    10.1002/mp.15372
  7. Kalina Slavkova; Julie DiCarlo; Anum Syed Kazerouni; John Virostko; Anna Sorace; Debra Patt; Boone Goodgame; Thomas Yankeelov. "Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer". Tomography (2021): https://www.mdpi.com/2379-139X/7/3/23.
    10.3390/tomography7030023
  8. Virostko, John; Kuketz, Garrett; Higgins, Erin; Wu, Chengyue; Sorace, Anna G.; DiCarlo, Julie C.; Avery, Sarah; et al. "The rate of breast fibroglandular enhancement during dynamic contrast-enhanced MRI reflects response to neoadjuvant therapy". European Journal of Radiology 136 (2021): 109534. http://dx.doi.org/10.1016/j.ejrad.2021.109534.
    10.1016/j.ejrad.2021.109534
  9. Hormuth, David A.; Jarrett, Angela M.; Lorenzo, Guillermo; Lima, Ernesto A. B. F.; Wu, Chengyue; Chung, Caroline; Patt, Debra; Yankeelov, Thomas E.. "Math, magnets, and medicine: enabling personalized oncology". Expert Review of Precision Medicine and Drug Development (2021): 1-3. http://dx.doi.org/10.1080/23808993.2021.1878023.
    10.1080/23808993.2021.1878023
  10. Viguerie, Alex; Lorenzo, Guillermo; Auricchio, Ferdinando; Baroli, Davide; Hughes, Thomas J.R.; Patton, Alessia; Reali, Alessandro; Yankeelov, Thomas E.; Veneziani, Alessandro. "Simulating the spread of COVID-19 via a spatially-resolved susceptible–exposed–infected–recovered–deceased (SEIRD) model with heterogeneous diffusion". Applied Mathematics Letters 111 (2021): 106617. http://dx.doi.org/10.1016/j.aml.2020.106617.
    10.1016/j.aml.2020.106617
  11. McDonald, Elizabeth S.; Romanoff, Justin; Rahbar, Habib; Kitsch, Averi E.; Harvey, Sara M.; Whisenant, Jennifer G.; Yankeelov, Thomas E.; et al. "Mean Apparent Diffusion Coefficient Is a Sufficient Conventional Diffusion-weighted MRI Metric to Improve Breast MRI Diagnostic Performance: Results from the ECOG-ACRIN Cancer Research Group A6702 Diffusion Imaging Trial". Radiology 298 1 (2021): 60-70. http://dx.doi.org/10.1148/radiol.2020202465.
    10.1148/radiol.2020202465
  12. Wu, C.; Hormuth, D.A.; Easley, T.; Eijkhout, V.; Pineda, F.; Karczmar, G.S.; Yankeelov, T.E.. "An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom". Medical Image Analysis 73 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85111211263&partnerID=MN8TOARS.
    10.1016/j.media.2021.102186
  13. Hormuth, D.A.; Jarrett, A.M.; Davis, T.; Yankeelov, T.E.. "Towards an image-informed mathematical model of in vivo response to fractionated radiation therapy". Cancers 13 8 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85103618062&partnerID=MN8TOARS.
    10.3390/cancers13081765
  14. Virostko, J.; Sorace, A.G.; Slavkova, K.P.; Kazerouni, A.S.; Jarrett, A.M.; DiCarlo, J.C.; Woodard, S.; et al. "Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting". Breast Cancer Research 23 1 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85120052715&partnerID=MN8TOARS.
    10.1186/s13058-021-01489-6
  15. Lima, E.A.B.F.; Faghihi, D.; Philley, R.; Yang, J.; Virostko, J.; Phillips, C.M.; Yankeelov, T.E.. "Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth". PLoS Computational Biology 17 11 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85120409957&partnerID=MN8TOARS.
    10.1371/journal.pcbi.1008845
  16. Liu, J.; Hormuth, D.A.; Davis, T.; Yang, J.; McKenna, M.T.; Jarrett, A.M.; Enderling, H.; Brock, A.; Yankeelov, T.E.. "A time-resolved experimental-mathematical model for predicting the response of glioma cells to single-dose radiation therapy". Integrative biology : quantitative biosciences from nano to macro 13 7 (2021): 167-183. http://www.scopus.com/inward/record.url?eid=2-s2.0-85112124211&partnerID=MN8TOARS.
    10.1093/intbio/zyab010
  17. Tunc, B.; Hormuth, D.; Biros, G.; Yankeelov, T.E.. "Modeling of Glioma Growth with Mass Effect by Longitudinal Magnetic Resonance Imaging". IEEE Transactions on Biomedical Engineering 68 12 (2021): 3713-3724. http://www.scopus.com/inward/record.url?eid=2-s2.0-85107329592&partnerID=MN8TOARS.
    10.1109/TBME.2021.3085523
  18. Woodall, R.T.; Hormuth, D.A.; Wu, C.; Abdelmalik, M.R.A.; Phillips, W.T.; Bao, A.; Hughes, T.J.R.; Brenner, A.J.; Yankeelov, T.E.. "Patient specific, imaging-informed modeling of rhenium-186 nanoliposome delivery via convection-enhanced delivery in glioblastoma multiforme". Biomedical Physics and Engineering Express 7 4 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85107247901&partnerID=MN8TOARS.
    10.1088/2057-1976/ac02a6
  19. Yang, J.; Virostko, J.; Hormuth, D.A.; Liu, J.; Brock, A.; Kowalski, J.; Yankeelov, T.E.. "An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines". PLoS ONE 16 7 July (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85109609220&partnerID=MN8TOARS.
    10.1371/journal.pone.0240765
  20. Hormuth, D.A.; Phillips, C.M.; Wu, C.; Lima, E.A.B.F.; Lorenzo, G.; Jha, P.K.; Jarrett, A.M.; Oden, J.T.; Yankeelov, T.E.. "Biologically-based mathematical modeling of tumor vasculature and angiogenesis via time-resolved imaging data". Cancers 13 12 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85107939381&partnerID=MN8TOARS.
    10.3390/cancers13123008
  21. Özkan, A.; Stolley, D.L.; Cressman, E.N.K.; McMillin, M.; DeMorrow, S.; Yankeelov, T.E.; Rylander, M.N.. "Tumor Microenvironment Alters Chemoresistance of Hepatocellular Carcinoma Through CYP3A4 Metabolic Activity". Frontiers in Oncology 11 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85110010051&partnerID=MN8TOARS.
    10.3389/fonc.2021.662135
  22. Jarrett, A.M.; Kazerouni, A.S.; Wu, C.; Virostko, J.; Sorace, A.G.; DiCarlo, J.C.; Hormuth, D.A.; et al. "Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting". Nature Protocols 16 11 (2021): 5309-5338. http://www.scopus.com/inward/record.url?eid=2-s2.0-85115334787&partnerID=MN8TOARS.
    10.1038/s41596-021-00617-y
  23. Hormuth, D.A.; Al Feghali, K.A.; Elliott, A.M.; Yankeelov, T.E.; Chung, C.. "Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation". Scientific Reports 11 1 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85104509710&partnerID=MN8TOARS.
    10.1038/s41598-021-87887-4
  24. McGarry, S.D.; Brehler, M.; Bukowy, J.D.; Lowman, A.K.; Bobholz, S.A.; Duenweg, S.R.; Banerjee, A.; et al. "Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness". Journal of Magnetic Resonance Imaging (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85118887092&partnerID=MN8TOARS.
    10.1002/jmri.27983
  25. Whisenant, Jennifer G; Romanoff, Justin; Rahbar, Habib; Kitsch, Averi E; Harvey, Sara M; Moy, Linda; DeMartini, Wendy B; et al. "Factors Affecting Image Quality and Lesion Evaluability in Breast Diffusion-weighted MRI: Observations from the ECOG-ACRIN Cancer Research Group Multisite Trial (A6702)". Journal of Breast Imaging 3 1 (2020): 44-56. http://dx.doi.org/10.1093/jbi/wbaa103.
    10.1093/jbi/wbaa103
  26. Jarrett, Angela M.; Hormuth, David A.; Wu, Chengyue; Kazerouni, Anum S.; Ekrut, David A.; Virostko, John; Sorace, Anna G.; et al. "Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data". Neoplasia 22 12 (2020): 820-830. http://dx.doi.org/10.1016/j.neo.2020.10.011.
    10.1016/j.neo.2020.10.011
  27. Kazerouni, Anum S.; Gadde, Manasa; Gardner, Andrea; Hormuth, David A.; Jarrett, Angela M.; Johnson, Kaitlyn E.; Lima, Ernesto A.B. F.; et al. "Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology". iScience 23 12 (2020): 101807. http://dx.doi.org/10.1016/j.isci.2020.101807.
    10.1016/j.isci.2020.101807
  28. Jarrett, Angela M.; Hormuth, David A.; Adhikarla, Vikram; Sahoo, Prativa; Abler, Daniel; Tumyan, Lusine; Schmolze, Daniel; et al. "Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2¿+¿breast cancer". Scientific Reports 10 1 (2020): http://dx.doi.org/10.1038/s41598-020-77397-0.
    10.1038/s41598-020-77397-0
  29. Johnson, Kaitlyn E; Howard, Grant R; Morgan, Daylin; Brenner, Eric A; Gardner, Andrea L; Durrett, Russell E; Mo, William; et al. "Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer". Physical Biology 18 1 (2020): 016001. http://dx.doi.org/10.1088/1478-3975/abb09c.
    10.1088/1478-3975/abb09c
  30. Song, Patrick N.; Mansur, Ameer; Dugger, Kari J.; Davis, Tessa R.; Howard, Grant; Yankeelov, Thomas E.; Sorace, Anna G.. "CD4 T-cell immune stimulation of HER2¿+¿breast cancer cells alters response to trastuzumab in vitro". Cancer Cell International 20 1 (2020): http://dx.doi.org/10.1186/s12935-020-01625-w.
    10.1186/s12935-020-01625-w
  31. Sorace, Anna G.; Elkassem, Asser A.; Galgano, Samuel J.; Lapi, Suzanne E.; Larimer, Benjamin M.; Partridge, Savannah C.; Quarles, C. Chad; et al. "Imaging for Response Assessment in Cancer Clinical Trials". Seminars in Nuclear Medicine 50 6 (2020): 488-504. http://dx.doi.org/10.1053/j.semnuclmed.2020.05.001.
    10.1053/j.semnuclmed.2020.05.001
  32. Shoghi, Kooresh I.; Badea, Cristian T.; Blocker, Stephanie J.; Chenevert, Thomas L.; Laforest, Richard; Lewis, Michael T.; Luker, Gary D.; et al. "Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine". Tomography 6 3 (2020): 273-287. http://dx.doi.org/10.18383/j.tom.2020.00023.
    10.18383/j.tom.2020.00023
  33. Wu, Chengyue; Hormuth, David A.; Oliver, Todd A.; Pineda, Federico; Lorenzo, Guillermo; Karczmar, Gregory S.; Moser, Robert D.; Yankeelov, Thomas E.. "Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics". IEEE Transactions on Medical Imaging 39 9 (2020): 2760-2771. http://dx.doi.org/10.1109/tmi.2020.2975375.
    10.1109/tmi.2020.2975375
  34. Viguerie, Alex; Veneziani, Alessandro; Lorenzo, Guillermo; Baroli, Davide; Aretz-Nellesen, Nicole; Patton, Alessia; Yankeelov, Thomas E.; et al. "Diffusion–reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study". Computational Mechanics 66 5 (2020): 1131-1152. http://dx.doi.org/10.1007/s00466-020-01888-0.
    10.1007/s00466-020-01888-0
  35. Gadde, Manasa; Phillips, Caleb; Ghousifam, Neda; Sorace, Anna G.; Wong, Enoch; Krishnamurthy, Savitri; Syed, Anum; et al. "In vitro vascularized tumor platform for modeling tumor-vasculature interactions of inflammatory breast cancer". Biotechnology and Bioengineering 117 11 (2020): 3572-3590. http://dx.doi.org/10.1002/bit.27487.
    10.1002/bit.27487
  36. Syed, Anum K.; Whisenant, Jennifer G.; Barnes, Stephanie L.; Sorace, Anna G.; Yankeelov, Thomas E.. "Multiparametric Analysis of Longitudinal Quantitative MRI Data to Identify Distinct Tumor Habitats in Preclinical Models of Breast Cancer". Cancers 12 6 (2020): 1682. http://dx.doi.org/10.3390/cancers12061682.
    10.3390/cancers12061682
  37. Whisenant, Jennifer G.; Williams, Jason M.; Kang, Hakmook; Arlinghaus, Lori R.; Abramson, Richard G.; Abramson, Vandana G.; Fakhoury, Kareem; Chakravarthy, A. Bapsi; Yankeelov, Thomas E.. "Quantitative Comparison of Prone and Supine PERCIST Measurements in Breast Cancer". Tomography 6 2 (2020): 170-176. http://dx.doi.org/10.18383/j.tom.2020.00002.
    10.18383/j.tom.2020.00002
  38. Faghihi, Danial; Feng, Xinzeng; Lima, Ernesto A.B.F.; Oden, J. Tinsley; Yankeelov, Thomas E.. "A coupled mass transport and deformation theory of multi-constituent tumor growth". Journal of the Mechanics and Physics of Solids 139 (2020): 103936. http://dx.doi.org/10.1016/j.jmps.2020.103936.
    10.1016/j.jmps.2020.103936
  39. Özkan, Alican; Stolley, Danielle; Cressman, Erik N. K.; McMillin, Matthew; DeMorrow, Sharon; Yankeelov, Thomas E.; Rylander, Marissa Nichole. "The Influence of Chronic Liver Diseases on Hepatic Vasculature: A Liver-on-a-chip Review". Micromachines 11 5 (2020): 487. http://dx.doi.org/10.3390/mi11050487.
    10.3390/mi11050487
  40. Jarrett, Angela M.; Faghihi, Danial; Hormuth, David A.; Lima, Ernesto A. B. F.; Virostko, John; Biros, George; Patt, Debra; Yankeelov, Thomas E.. "Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and Opportunities". Journal of Clinical Medicine 9 5 (2020): 1314. http://dx.doi.org/10.3390/jcm9051314.
    10.3390/jcm9051314
  41. Bloom, Meghan J.; Jarrett, Angela M.; Triplett, Todd A.; Syed, Anum K.; Davis, Tessa; Yankeelov, Thomas E.; Sorace, Anna G.. "Anti-HER2 induced myeloid cell alterations correspond with increasing vascular maturation in a murine model of HER2+ breast cancer". BMC Cancer 20 1 (2020): http://dx.doi.org/10.1186/s12885-020-06868-4.
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  212. Yankeelov, T.E.; Rooney, W.D.; Huang, W.; Dyke, J.P.; Li, X.; Tudorica, A.; Lee, J.-H.; Koutcher, J.A.; Springer Jr., C.S.. "Evidence for shutter-speed variation in CR bolus-tracking studies of human pathology". NMR in Biomedicine 18 3 (2005): 173-185. http://www.scopus.com/inward/record.url?eid=2-s2.0-14744305898&partnerID=MN8TOARS.
    10.1002/nbm.938
  213. Fleischer, A.C.; Niermann, K.J.; Donnelly, E.F.; Yankeelov, T.E.; Canniff, K.M.; Hallahan, D.E.; Rothenberg, M.E.. "Sonographic depiction of microvessel perfusion: Principles and potential". Journal of Ultrasound in Medicine 23 11 (2004): 1499-1506. http://www.scopus.com/inward/record.url?eid=2-s2.0-6944227670&partnerID=MN8TOARS.
    10.7863/jum.2004.23.11.1499
  214. Zhou, R.; Pickup, S.; Yankeelov, T.E.; Springer Jr., C.S.; Glickson, J.D.. "Simultaneous measurement of arterial input function and tumor pharmacokinetics in mice by dynamic contrast enhanced imaging: Effects of transcytolemmal water exchange". Magnetic Resonance in Medicine 52 2 (2004): 248-257. http://www.scopus.com/inward/record.url?eid=2-s2.0-3543138424&partnerID=MN8TOARS.
    10.1002/mrm.20143
  215. Yankeelov, T.E.; Rooney, W.D.; Li, X.; Springer Jr., C.S.. "Variation of the Relaxographic "Shutter-Speed" for Transcytolemmal Water Exchange Affects the CR Bolus-Tracking Curve Shape". Magnetic Resonance in Medicine 50 6 (2003): 1151-1169. http://www.scopus.com/inward/record.url?eid=2-s2.0-0344305582&partnerID=MN8TOARS.
    10.1002/mrm.10624

Other

Other output
  1. Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth. 2021. Lima, E.A.B.F.; Faghihi, D.; Philley, R.; Yang, J.; Virostko, J.; Phillips, C.M.; Yankeelov, T.E.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85105676160&partnerID=MN8TOARS.
    10.1101/2021.03.03.433731
  2. Towards integration of time-resolved confocal microscopy of a 3D in vitro microfluidic platform with a hybrid multiscale model of tumor angiogenesis. 2021. Phillips, C.M.; Lima, E.A.B.F.; Gadde, M.; Jarrett, A.M.; Rylander, M.N.; Yankeelov, T.E.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85119306918&partnerID=MN8TOARS.
    10.1101/2021.09.29.462293
  3. Quantification of Long-Term Doxorubicin Response Dynamics in Breast Cancer Cell Lines to Direct Treatment Schedules. 2021. Howard, G.; Jost, T.A.; Yankeelov, T.E.; Brock, A.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85108389287&partnerID=MN8TOARS.
    10.1101/2021.05.24.445407
  4. Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. 2021. Lorenzo, G.; Hormuth, D.A.; Jarrett, A.M.; Lima, E.A.B.F.; Subramanian, S.; Biros, G.; Oden, J.T.; Hughes, T.J.R.; Yankeelov, T.E.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85102549199&partnerID=MN8TOARS.
  5. Tumor microenvironment alters chemoresistance of hepatocellular carcinoma through CYP3A4 metabolic activity. 2021. Özkan, A.; Stolley, D.L.; Cressman, E.N.K.; McMillin, M.; DeMorrow, S.; Yankeelov, T.E.; Rylander, M.N.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85101264142&partnerID=MN8TOARS.
    10.1101/2021.01.23.427874
  6. Integrating multimodal data sets into a mathematical framework to describe and predict therapeutic resistance in cancer. 2020. Johnson, K.; Howard, G.R.; Morgan, D.; Brenner, E.A.; Gardner, A.L.; Durrett, R.E.; Mo, W.; et al. http://www.scopus.com/inward/record.url?eid=2-s2.0-85098896612&partnerID=MN8TOARS.
    10.1101/2020.02.11.943738
  7. An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines. 2020. Yang, J.; Virostko, J.; Hormuth, D.A.; Liu, J.; Brock, A.; Kowalski, J.; Yankeelov, T.E.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85098830833&partnerID=MN8TOARS.
    10.1101/2020.10.05.326041
  8. Deep learning enables rapid and robust analysis of fluorescence lifetime imaging in photon-starved conditions. 2020. Chen, Y.-I.; Chang, Y.-J.; Liao, S.-C.; Nguyen, T.D.; Yang, J.; Kuo, Y.-A.; Hong, S.; et al. http://www.scopus.com/inward/record.url?eid=2-s2.0-85099895001&partnerID=MN8TOARS.
    10.1101/2020.12.02.408195
  9. Towards integration of 64Cu-DOTA-Trasztusumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2+ breast cancer. 2020. Jarrett, A.M.; Hormuth, D.A.; Adhikarla, V.; Sahoo, P.; Abler, D.; Tumyan, L.; Schmolze, D.; et al. http://www.scopus.com/inward/record.url?eid=2-s2.0-85099410504&partnerID=MN8TOARS.
    10.1101/2020.06.10.20127639
  10. Simulating the spread of covid-19 via a spatially-resolved susceptible-exposed-infected-recovered-deceased (seird) model with heterogeneous diffusion. 2020. Viguerie, A.; Lorenzo, G.; Auricchio, F.; Baroli, D.; Hughes, T.J.R.; Patton, A.; Reali, A.; Yankeelov, T.E.; Veneziani, A.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85095104019&partnerID=MN8TOARS.
  11. In vitro vascularized tumor platform for modeling breast tumor stromal interactions and characterizing the subsequent response. 2018. Gadde, M.; Sorace, A.G.; Wong, E.; Syed, A.; Phillips, C.; Rahal, O.; Yankeelov, T.E.; Woodward, W.A.; Rylander, M.N.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85094476630&partnerID=MN8TOARS.
  12. A multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer. 2017. Howard, G.R.; Johnson, K.E.; Ayala, A.R.; Yankeelov, T.E.; Brock, A.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85095641059&partnerID=MN8TOARS.
    10.1101/207605
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2021 159 scholarly presentations in invited seminars at renowned institutions and multiple scientific events (98 of them by invitation), and presenting author or coauthor of 301 contributions to national and international conferences.

Association member

Society Organization name Role
2018 - Current Society of Mathematical Biology
2016 - Current Biomedical Engineering Society
2014 - Current Institute of Electrical and Electronics Engineers
2014 - Current American Institute of Medical and Biological Engineering
2011 - Current American Association of Physicists in Medicine
2005 - Current American Association of Cancer Researchers
2001 - Current International Society for Magnetic Resonance in Medicine

Committee member

Activity description
Role 		Institution / Organization
2020 - Current Participation in the committee of 15 major scientific networks, workshops, and events on computational modeling of cancer, quantitative magnetic resonance imaging methods for cancer, and multidisciplinar cancer research

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2020 - Current TEY has been teacher in 13 courses on quantitative characterization of cancer using in vivo imaging within major scientific conferences (e.g., ISMRM, AACR, SPIE, RSNA)
2016 - Current TEY has been teacher of a graduate course on computational oncology and and an undergraduate course on biomedical imaging modalities for 4 consecutive academic courses. TEY has also given a guest lecture on medical imaging at an undergraduate course on Computational Fundamentals of BME Design. The University of Texas at Austin, United States
2006 - 2012 TEY has been a teacher of regular graduate courses and guest lectures on cancer imaging, mathematical and physical foundations of imaging methods, and biophysical models of cancer. TEY has also given lectures on quantitative imaging in graduate courses of cancer biology. At undergraduate level, TEY has delivered regular lectures on mathematical and physical methods for biomedical engineering and organized lab sessions. TEY also developed an undergraduate course on scientific insights into music. Vanderbilt University, United States

Evaluation committee

Activity description
Role 		Institution / Organization Funding entity
2020 - Current Grant application peer reviewer for 10 editions of high-impact research programs in the US

Journal scientific committee

Journal title (ISSN) Publisher
2016 - Current JCO Clinical Cancer Informatics
2015 - Current Tomography (2379-139X) "Grapho, LLC"
2014 - Current Breast Cancer Research (1465-5411) Springer (Biomed Central Ltd.)
2009 - Current Magnetic Resonance Imaging (0730-725X) Elsevier
2012 - 2015 Medical Physics
Distinctions

Award

2019 ASCO/AACR Methods in Clinical Cancer Research Workshop, Best Lecture
2004 Radiological Society of North America Research Fellow Trainee Prize
Radiological Society of North America, United States
2000 Award for Associate Instructors of Physics
Indiana University Bloomington Department of Physics, United States
1998 Rothrock Award for Associate Instructors
Indiana University Department of Mathematics, United States

Other distinction

2014 Elected to Council of Distinguished Investigators of the Academy of Radiology Research
Academy of Radiology Research, United States
2014 Elected to the College of Fellows of the American Institute of Medical and Biological Engineering
American Institute of Medical and Biological Engineering, United States
2013 Distinguished Reviewer for Magnetic Resonance in Medicine
Magnetic Resonance in Medicine, United States
2012 Distinguished Reviewer for Medical Physics
Medical Physics, United States
2012 Distinguished Reviewer for Journal of Magnetic Resonance Imaging
Journal of Magnetic Resonance Imaging, United States
2012 Distinguished Reviewer for Magnetic Resonance in Medicine
Magnetic Resonance in Medicine, United States
2012 Nominee for President of MR of Cancer Study Group, ISMRM
International Society for Magnetic Resonance in Medicine, United States
2011 Distinguished Reviewer for Journal of Magnetic Resonance Imaging
Journal of Magnetic Resonance Imaging, United States
2011 Distinguished Reviewer for Magnetic Resonance in Medicine
Magnetic Resonance in Medicine, United States
2011 Paper selected for Physics in Medicine and Biology ‘Highlights of 2010’
Physics in Medicine and Biology , United States
2011 Nominee for President of MR of Cancer Study Group, ISMRM
International Society for Magnetic Resonance in Medicine, United States
2010 Nominee for President of MR of Cancer Study Group, ISMRM
International Society for Magnetic Resonance in Medicine, United States
2006 Finalist, Young Investigator competition in cancer imaging, 14th Annual ISMRM meeting
International Society for Magnetic Resonance in Medicine, United States