Recent Publications

2021
  1. Virostko, J, Kuketz, G, Higgins, E, Wu, C, Sorace, AG, DiCarlo, JC et al.. The rate of breast fibroglandular enhancement during dynamic contrast-enhanced MRI reflects response to neoadjuvant therapy. Eur J Radiol. 2021;136 :109534. doi: 10.1016/j.ejrad.2021.109534. PubMed PMID:33454460 .
  2. Brunn, M, Himthani, N, Biros, G, Mehl, M, Mang, A. Fast GPU 3D diffeomorphic image registration. J Parallel Distrib Comput. 2021;149 :149-162. doi: 10.1016/j.jpdc.2020.11.006. PubMed PMID:33380769 PubMed Central PMC7769216.
  3. Berard, D, Navarro, JD, Bascos, G, Harb, A, Feng, Y, De Lorenzo, R et al.. Novel expandable architected breathing tube for improving airway securement in emergency care. J Mech Behav Biomed Mater. 2021;114 :104211. doi: 10.1016/j.jmbbm.2020.104211. PubMed PMID:33285451 .
  4. Gates, EDH, Weinberg, JS, Prabhu, SS, Lin, JS, Hamilton, J, Hazle, JD et al.. Estimating Local Cellular Density in Glioma Using MR Imaging Data. AJNR Am J Neuroradiol. 2021;42 (1):102-108. doi: 10.3174/ajnr.A6884. PubMed PMID:33243897 PubMed Central PMC7814791.
  5. McDonald, ES, Romanoff, J, Rahbar, H, Kitsch, AE, Harvey, SM, Whisenant, JG 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. 2021;298 (1):60-70. doi: 10.1148/radiol.2020202465. PubMed PMID:33201788 PubMed Central PMC7771995.
  6. Scheufele, K, Subramanian, S, Biros, G. Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan. IEEE Trans Med Imaging. 2021;40 (1):193-204. doi: 10.1109/TMI.2020.3024264. PubMed PMID:32931431 .
  7. Viguerie, A, Lorenzo, G, Auricchio, F, Baroli, D, Hughes, TJR, Patton, A et al.. Simulating the spread of COVID-19 via a spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion. Appl Math Lett. 2021;111 :106617. doi: 10.1016/j.aml.2020.106617. PubMed PMID:32834475 PubMed Central PMC7361091.
Search PubMed
2020
  1. Fuentes, D, Thompson, E, Jacobsen, M, Crouch, AC, Layman, RR, Riviere, B et al.. Imaging-based characterization of convective tissue properties. Int J Hyperthermia. 2020;37 (3):155-163. doi: 10.1080/02656736.2020.1845403. PubMed PMID:33426993 .
  2. Stolley, DL, Crouch, AC, Özkan, A, Seeley, EH, Whitley, EM, Rylander, MN et al.. Combining Chemistry and Engineering for Hepatocellular Carcinoma: Nano-Scale and Smaller Therapies. Pharmaceutics. 2020;12 (12):. doi: 10.3390/pharmaceutics12121243. PubMed PMID:33419304 PubMed Central PMC7766014.
  3. Brunn, M, Himthani, N, Biros, G, Mehl, M, Mang, A. Fast GPU 3D diffeomorphic image registration. J Parallel Distrib Comput. 2021;149 :149-162. doi: 10.1016/j.jpdc.2020.11.006. PubMed PMID:33380769 PubMed Central PMC7769216.
  4. Virostko, J. Quantitative Magnetic Resonance Imaging of the Pancreas of Individuals With Diabetes. Front Endocrinol (Lausanne). 2020;11 :592349. doi: 10.3389/fendo.2020.592349. PubMed PMID:33343509 PubMed Central PMC7747766.
  5. Kazerouni, AS, Gadde, M, Gardner, A, Hormuth, DA 2nd, Jarrett, AM, Johnson, KE et al.. Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology. iScience. 2020;23 (12):101807. doi: 10.1016/j.isci.2020.101807. PubMed PMID:33299976 PubMed Central PMC7704401.
  6. Song, PN, Mansur, A, Dugger, KJ, Davis, TR, Howard, G, Yankeelov, TE et al.. CD4 T-cell immune stimulation of HER2 + breast cancer cells alters response to trastuzumab in vitro. Cancer Cell Int. 2020;20 (1):544. doi: 10.1186/s12935-020-01625-w. PubMed PMID:33292267 PubMed Central PMC7654187.
  7. Berard, D, Navarro, JD, Bascos, G, Harb, A, Feng, Y, De Lorenzo, R et al.. Novel expandable architected breathing tube for improving airway securement in emergency care. J Mech Behav Biomed Mater. 2021;114 :104211. doi: 10.1016/j.jmbbm.2020.104211. PubMed PMID:33285451 .
  8. Gates, EDH, Weinberg, JS, Prabhu, SS, Lin, JS, Hamilton, J, Hazle, JD et al.. Estimating Local Cellular Density in Glioma Using MR Imaging Data. AJNR Am J Neuroradiol. 2021;42 (1):102-108. doi: 10.3174/ajnr.A6884. PubMed PMID:33243897 PubMed Central PMC7814791.
  9. Jarrett, AM, Hormuth, DA, Adhikarla, V, Sahoo, P, Abler, D, Tumyan, L 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. Sci Rep. 2020;10 (1):20518. doi: 10.1038/s41598-020-77397-0. PubMed PMID:33239688 PubMed Central PMC7688955.
  10. Johnson, KE, Howard, GR, Morgan, D, Brenner, EA, Gardner, AL, Durrett, RE et al.. Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer. Phys Biol. 2020;18 (1):016001. doi: 10.1088/1478-3975/abb09c. PubMed PMID:33215611 .
  11. McDonald, ES, Romanoff, J, Rahbar, H, Kitsch, AE, Harvey, SM, Whisenant, JG 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. 2021;298 (1):60-70. doi: 10.1148/radiol.2020202465. PubMed PMID:33201788 PubMed Central PMC7771995.
  12. Jarrett, AM, Hormuth, DA 2nd, Wu, C, Kazerouni, AS, Ekrut, DA, Virostko, J et al.. Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data. Neoplasia. 2020;22 (12):820-830. doi: 10.1016/j.neo.2020.10.011. PubMed PMID:33197744 PubMed Central PMC7677708.
  13. Kreeger, PK, Brock, A, Gibbs, HC, Grande-Allen, KJ, Huang, AH, Masters, KS et al.. Ten simple rules for women principal investigators during a pandemic. PLoS Comput Biol. 2020;16 (10):e1008370. doi: 10.1371/journal.pcbi.1008370. PubMed PMID:33119585 PubMed Central PMC7595267.
  14. Scheufele, K, Subramanian, S, Mang, A, Biros, G, Mehl, M. IMAGE-DRIVEN BIOPHYSICAL TUMOR GROWTH MODEL CALIBRATION. SIAM J Sci Comput. 2020;42 (3):B549-B580. doi: 10.1137/19M1275280. PubMed PMID:33071533 PubMed Central PMC7561052.
  15. Sorace, AG, Elkassem, AA, Galgano, SJ, Lapi, SE, Larimer, BM, Partridge, SC et al.. Imaging for Response Assessment in Cancer Clinical Trials. Semin Nucl Med. 2020;50 (6):488-504. doi: 10.1053/j.semnuclmed.2020.05.001. PubMed PMID:33059819 PubMed Central PMC7573201.
  16. Mitchell, D, Hwang, KP, Bankson, JA, Stafford, RJ, Banerjee, S, Takei, N et al.. An information theory model for optimizing quantitative magnetic resonance imaging acquisitions. Phys Med Biol. 2020; :. doi: 10.1088/1361-6560/abb9f6. PubMed PMID:32947269 .
  17. Scheufele, K, Subramanian, S, Biros, G. Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan. IEEE Trans Med Imaging. 2021;40 (1):193-204. doi: 10.1109/TMI.2020.3024264. PubMed PMID:32931431 .
  18. Muthusivarajan, R, Allen, WJ, Pehere, AD, Sokolov, KV, Fuentes, D. Role of alkylated residues in the tetrapeptide self-assembly-A molecular dynamics study. J Comput Chem. 2020;41 (31):2634-2640. doi: 10.1002/jcc.26419. PubMed PMID:32930440 .
  19. Shoghi, KI, Badea, CT, Blocker, SJ, Chenevert, TL, Laforest, R, Lewis, MT et al.. Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine. Tomography. 2020;6 (3):273-287. doi: 10.18383/j.tom.2020.00023. PubMed PMID:32879897 PubMed Central PMC7442091.
  20. Viguerie, A, Veneziani, A, Lorenzo, G, Baroli, D, Aretz-Nellesen, N, Patton, A et al.. Diffusion-reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study. Comput Mech. 2020; :1-22. doi: 10.1007/s00466-020-01888-0. PubMed PMID:32836602 PubMed Central PMC7426072.
  21. Jha, PK, Cao, L, Oden, JT. Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models. Comput Mech. 2020; :1-14. doi: 10.1007/s00466-020-01889-z. PubMed PMID:32836598 PubMed Central PMC7394277.
  22. Viguerie, A, Lorenzo, G, Auricchio, F, Baroli, D, Hughes, TJR, Patton, A et al.. Simulating the spread of COVID-19 via a spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion. Appl Math Lett. 2021;111 :106617. doi: 10.1016/j.aml.2020.106617. PubMed PMID:32834475 PubMed Central PMC7361091.
  23. Bastos, DCA, Fuentes, DT, Traylor, J, Weinberg, J, Kumar, VA, Stafford, J et al.. The use of laser interstitial thermal therapy in the treatment of brain metastases: a literature review. Int J Hyperthermia. 2020;37 (2):53-60. doi: 10.1080/02656736.2020.1748238. PubMed PMID:32672122 .
  24. Gadde, M, Phillips, C, Ghousifam, N, Sorace, AG, Wong, E, Krishnamurthy, S et al.. In vitro vascularized tumor platform for modeling tumor-vasculature interactions of inflammatory breast cancer. Biotechnol Bioeng. 2020; :. doi: 10.1002/bit.27487. PubMed PMID:32648934 .
  25. Syed, AK, Whisenant, JG, Barnes, SL, Sorace, AG, Yankeelov, TE. Multiparametric Analysis of Longitudinal Quantitative MRI data to Identify Distinct Tumor Habitats in Preclinical Models of Breast Cancer. Cancers (Basel). 2020;12 (6):. doi: 10.3390/cancers12061682. PubMed PMID:32599906 PubMed Central PMC7352623.
  26. Bell, LC, Semmineh, N, An, H, Eldeniz, C, Wahl, R, Schmainda, KM et al.. Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge. Tomography. 2020;6 (2):203-208. doi: 10.18383/j.tom.2020.00012. PubMed PMID:32548297 PubMed Central PMC7289259.
  27. Whisenant, JG, Williams, JM, Kang, H, Arlinghaus, LR, Abramson, RG, Abramson, VG et al.. Quantitative Comparison of Prone and Supine PERCIST Measurements in Breast Cancer. Tomography. 2020;6 (2):170-176. doi: 10.18383/j.tom.2020.00002. PubMed PMID:32548293 PubMed Central PMC7289244.
  28. Bastos, DCA, Weinberg, J, Kumar, VA, Fuentes, DT, Stafford, J, Li, J et al.. Laser Interstitial Thermal Therapy in the treatment of brain metastases and radiation necrosis. Cancer Lett. 2020;489 :9-18. doi: 10.1016/j.canlet.2020.05.014. PubMed PMID:32504657 .
  29. Mang, A, Bakas, S, Subramanian, S, Davatzikos, C, Biros, G. Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology. Annu Rev Biomed Eng. 2020;22 :309-341. doi: 10.1146/annurev-bioeng-062117-121105. PubMed PMID:32501772 PubMed Central PMC7520881.
  30. Moawad, AW, Fuentes, D, Khalaf, AM, Blair, KJ, Szklaruk, J, Qayyum, A et al.. Feasibility of Automated Volumetric Assessment of Large Hepatocellular Carcinomas' Responses to Transarterial Chemoembolization. Front Oncol. 2020;10 :572. doi: 10.3389/fonc.2020.00572. PubMed PMID:32457831 PubMed Central PMC7221016.
  31. Özkan, A, Stolley, D, Cressman, ENK, McMillin, M, DeMorrow, S, Yankeelov, TE et al.. The Influence of Chronic Liver Diseases on Hepatic Vasculature: A Liver-on-a-chip Review. Micromachines (Basel). 2020;11 (5):. doi: 10.3390/mi11050487. PubMed PMID:32397454 PubMed Central PMC7281532.
  32. Faghihi, D, Feng, X, Lima, EABF, Oden, JT, Yankeelov, TE. A Coupled Mass Transport and Deformation Theory of Multi-constituent Tumor Growth. J Mech Phys Solids. 2020;139 :. doi: 10.1016/j.jmps.2020.103936. PubMed PMID:32394987 PubMed Central PMC7213200.
  33. Actor, JA, Fuentes, DT, Rivière, B. Identification of Kernels in a Convolutional Neural Network: Connections Between Level Set Equation and Deep Learning for Image Segmentation. Proc SPIE Int Soc Opt Eng. 2020;11313 :. doi: 10.1117/12.2548871. PubMed PMID:32377028 PubMed Central PMC7202368.
  34. Jarrett, AM, Faghihi, D, Ii, DAH, Lima, EABF, Virostko, J, Biros, G et al.. Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and Opportunities. J Clin Med. 2020;9 (5):. doi: 10.3390/jcm9051314. PubMed PMID:32370195 PubMed Central PMC7290915.
  35. Bloom, MJ, Jarrett, AM, Triplett, TA, Syed, AK, Davis, T, Yankeelov, TE et al.. Anti-HER2 induced myeloid cell alterations correspond with increasing vascular maturation in a murine model of HER2+ breast cancer. BMC Cancer. 2020;20 (1):359. doi: 10.1186/s12885-020-06868-4. PubMed PMID:32345237 PubMed Central PMC7189470.
  36. Fuentes, D, Fahrenholtz, SJ, Guo, C, MacLellan, CJ, Layman, RR, Rivière, B et al.. Mathematical modeling of mass and energy transport for thermoembolization. Int J Hyperthermia. 2020;37 (1):356-365. doi: 10.1080/02656736.2020.1749317. PubMed PMID:32308071 .
  37. Phillips, CM, Lima, EABF, Woodall, RT, Brock, A, Yankeelov, TE. A hybrid model of tumor growth and angiogenesis: In silico experiments. PLoS One. 2020;15 (4):e0231137. doi: 10.1371/journal.pone.0231137. PubMed PMID:32275674 PubMed Central PMC7147760.
  38. Williams, JM, Hilmes, MA, Archer, B, Dulaney, A, Du, L, Kang, H et al.. Repeatability and Reproducibility of Pancreas Volume Measurements Using MRI. Sci Rep. 2020;10 (1):4767. doi: 10.1038/s41598-020-61759-9. PubMed PMID:32179809 PubMed Central PMC7076034.
  39. Brenner, E, Tiwari, GR, Kapoor, M, Liu, Y, Brock, A, Mayfield, RD et al.. Single cell transcriptome profiling of the human alcohol-dependent brain. Hum Mol Genet. 2020;29 (7):1144-1153. doi: 10.1093/hmg/ddaa038. PubMed PMID:32142123 PubMed Central PMC7206851.
  40. Ahmed, AA, Elmohr, MM, Fuentes, D, Habra, MA, Fisher, SB, Perrier, ND et al.. Radiomic mapping model for prediction of Ki-67 expression in adrenocortical carcinoma. Clin Radiol. 2020;75 (6):479.e17-479.e22. doi: 10.1016/j.crad.2020.01.012. PubMed PMID:32089260 .
  41. Papadopoulos, C, Efthimiadou, EK, Pissas, M, Fuentes, D, Boukos, N, Psycharis, V et al.. Magnetic fluid hyperthermia simulations in evaluation of SAR calculation methods. Phys Med. 2020;71 :39-52. doi: 10.1016/j.ejmp.2020.02.011. PubMed PMID:32088564 .
  42. Wu, C, Hormuth, DA, Oliver, TA, Pineda, F, Lorenzo, G, Karczmar, GS et al.. Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics. IEEE Trans Med Imaging. 2020;39 (9):2760-2771. doi: 10.1109/TMI.2020.2975375. PubMed PMID:32086203 PubMed Central PMC7438313.
  43. Chou, CK, Liu, YL, Chen, YI, Huang, PJ, Tsou, PH, Chen, CT et al.. Digital Receptor Occupancy Assay in Quantifying On- and Off-Target Binding Affinities of Therapeutic Antibodies. ACS Sens. 2020;5 (2):296-302. doi: 10.1021/acssensors.9b01736. PubMed PMID:32073836 PubMed Central PMC7093205.
  44. Gates, EDH, Lin, JS, Weinberg, JS, Prabhu, SS, Hamilton, J, Hazle, JD et al.. Imaging-Based Algorithm for the Local Grading of Glioma. AJNR Am J Neuroradiol. 2020;41 (3):400-407. doi: 10.3174/ajnr.A6405. PubMed PMID:32029466 PubMed Central PMC7077885.
  45. Hormuth, DA 2nd, Jarrett, AM, Yankeelov, TE. Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling. Radiat Oncol. 2020;15 (1):4. doi: 10.1186/s13014-019-1446-2. PubMed PMID:31898514 PubMed Central PMC6941255.
  46. Virostko, J, Capasso, A, Yankeelov, TE, Goodgame, B. Reply to Appropriate considerations of "rural" in National Cancer Data Base analyses. Cancer. 2020;126 (7):1586-1587. doi: 10.1002/cncr.32650. PubMed PMID:31821541 PubMed Central PMC7069778.
  47. Lele, TP, Brock, A, Peyton, SR. Emerging Concepts and Tools in Cell Mechanomemory. Ann Biomed Eng. 2020;48 (7):2103-2112. doi: 10.1007/s10439-019-02412-z. PubMed PMID:31745676 .
  48. Bastos, DCA, Rao, G, Oliva, ICG, Loree, JM, Fuentes, DT, Stafford, RJ et al.. Predictors of Local Control of Brain Metastasis Treated With Laser Interstitial Thermal Therapy. Neurosurgery. 2020;87 (1):112-122. doi: 10.1093/neuros/nyz357. PubMed PMID:31539421 .
Search PubMed
2019
  1. Morshid, A, Elsayes, KM, Khalaf, AM, Elmohr, MM, Yu, J, Kaseb, AO et al.. A machine learning model to predict hepatocellular carcinoma response to transcatheter arterial chemoembolization. Radiol Artif Intell. 2019;1 (5):. doi: 10.1148/ryai.2019180021. PubMed PMID:31858078 PubMed Central PMC6920060.
  2. Scheufele, K, Mang, A, Gholami, A, Davatzikos, C, Biros, G, Mehl, M et al.. Coupling brain-tumor biophysical models and diffeomorphic image registration. Comput Methods Appl Mech Eng. 2019;347 :533-567. doi: 10.1016/j.cma.2018.12.008. PubMed PMID:31857736 PubMed Central PMC6922029.
  3. Virostko, J, Capasso, A, Yankeelov, TE, Goodgame, B. Reply to Appropriate considerations of "rural" in National Cancer Data Base analyses. Cancer. 2020;126 (7):1586-1587. doi: 10.1002/cncr.32650. PubMed PMID:31821541 PubMed Central PMC7069778.
  4. Liu, YL, Horning, AM, Lieberman, B, Kim, M, Lin, CK, Hung, CN et al.. Spatial EGFR Dynamics and Metastatic Phenotypes Modulated by Upregulated EphB2 and Src Pathways in Advanced Prostate Cancer. Cancers (Basel). 2019;11 (12):. doi: 10.3390/cancers11121910. PubMed PMID:31805710 PubMed Central PMC6966510.
  5. Lele, TP, Brock, A, Peyton, SR. Emerging Concepts and Tools in Cell Mechanomemory. Ann Biomed Eng. 2020;48 (7):2103-2112. doi: 10.1007/s10439-019-02412-z. PubMed PMID:31745676 .
  6. Khalaf, AM, Fuentes, D, Morshid, A, Kaseb, AO, Hassan, M, Hazle, JD et al.. Hepatocellular carcinoma response to transcatheter arterial chemoembolisation using automatically generated pre-therapeutic tumour volumes by a random forest-based segmentation protocol. Clin Radiol. 2019;74 (12):974.e13-974.e20. doi: 10.1016/j.crad.2019.07.023. PubMed PMID:31521326 .
  7. Chen, YI, Chang, YJ, Nguyen, TD, Liu, C, Phillion, S, Kuo, YA et al.. Measuring DNA Hybridization Kinetics in Live Cells Using a Time-Resolved 3D Single-Molecule Tracking Method. J Am Chem Soc. 2019;141 (40):15747-15750. doi: 10.1021/jacs.9b08036. PubMed PMID:31509386 PubMed Central PMC7179573.
  8. Jarrett, AM, Shah, A, Bloom, MJ, McKenna, MT, Hormuth, DA 2nd, Yankeelov, TE et al.. Experimentally-driven mathematical modeling to improve combination targeted and cytotoxic therapy for HER2+ breast cancer. Sci Rep. 2019;9 (1):12830. doi: 10.1038/s41598-019-49073-5. PubMed PMID:31492947 PubMed Central PMC6731321.
  9. Thrower, SL, Kandala, SK, Fuentes, D, Stefan, W, Sowko, N, Huang, M et al.. A compressed sensing approach to immobilized nanoparticle localization for superparamagnetic relaxometry. Phys Med Biol. 2019;64 (19):194001. doi: 10.1088/1361-6560/ab3c06. PubMed PMID:31422952 .
  10. Gates, EDH, Yang, J, Fukumura, K, Lin, JS, Weinberg, JS, Prabhu, SS et al.. Spatial Distance Correlates With Genetic Distance in Diffuse Glioma. Front Oncol. 2019;9 :676. doi: 10.3389/fonc.2019.00676. PubMed PMID:31417865 PubMed Central PMC6682615.
  11. Lorenzo, G, Pérez-García, VM, Mariño, A, Pérez-Romasanta, LA, Reali, A, Gomez, H et al.. Mechanistic modelling of prostate-specific antigen dynamics shows potential for personalized prediction of radiation therapy outcome. J R Soc Interface. 2019;16 (157):20190195. doi: 10.1098/rsif.2019.0195. PubMed PMID:31409240 PubMed Central PMC6731509.
  12. Johnson, KE, Howard, G, Mo, W, Strasser, MK, Lima, EABF, Huang, S et al.. Cancer cell population growth kinetics at low densities deviate from the exponential growth model and suggest an Allee effect. PLoS Biol. 2019;17 (8):e3000399. doi: 10.1371/journal.pbio.3000399. PubMed PMID:31381560 PubMed Central PMC6695196.
  13. Traylor, JI, Bastos, DCA, Fuentes, D, Muir, M, Patel, R, Kumar, VA et al.. Dynamic Contrast-Enhanced MRI in Patients with Brain Metastases Undergoing Laser Interstitial Thermal Therapy: A Pilot Study. AJNR Am J Neuroradiol. 2019;40 (9):1451-1457. doi: 10.3174/ajnr.A6144. PubMed PMID:31371353 PubMed Central PMC7048461.
  14. Elmohr, MM, Fuentes, D, Habra, MA, Bhosale, PR, Qayyum, AA, Gates, E et al.. Machine learning-based texture analysis for differentiation of large adrenal cortical tumours on CT. Clin Radiol. 2019;74 (10):818.e1-818.e7. doi: 10.1016/j.crad.2019.06.021. PubMed PMID:31362884 .
  15. Kabacaoğlu, G, Biros, G. Machine learning acceleration of simulations of Stokesian suspensions. Phys Rev E. 2019;99 (6-1):063313. doi: 10.1103/PhysRevE.99.063313. PubMed PMID:31330700 .
  16. Virostko, J, Capasso, A, Yankeelov, TE, Goodgame, B. Recent trends in the age at diagnosis of colorectal cancer in the US National Cancer Data Base, 2004-2015. Cancer. 2019;125 (21):3828-3835. doi: 10.1002/cncr.32347. PubMed PMID:31328273 PubMed Central PMC6788938.
  17. McKenna, MT, Weis, JA, Quaranta, V, Yankeelov, TE. Leveraging Mathematical Modeling to Quantify Pharmacokinetic and Pharmacodynamic Pathways: Equivalent Dose Metric. Front Physiol. 2019;10 :616. doi: 10.3389/fphys.2019.00616. PubMed PMID:31178753 PubMed Central PMC6538812.
  18. Chakraborty, S, Ozkan, A, Rylander, MN, Woodward, WA, Vlachos, P. Mixture theory modeling for characterizing solute transport in breast tumor tissues. J Biol Eng. 2019;13 :46. doi: 10.1186/s13036-019-0178-z. PubMed PMID:31160921 PubMed Central PMC6542036.
  19. Subramanian, S, Gholami, A, Biros, G. Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect. J Math Biol. 2019;79 (3):941-967. doi: 10.1007/s00285-019-01383-y. PubMed PMID:31127329 PubMed Central PMC7564807.
  20. Fuentes, D, Ahmed, K, Lin, JS, Abdel-Wahab, R, Kaseb, AO, Hassan, M et al.. Automated Volumetric Assessment of Hepatocellular Carcinoma Response to Sorafenib: A Pilot Study. J Comput Assist Tomogr. ;43 (3):499-506. doi: 10.1097/RCT.0000000000000866. PubMed PMID:31082956 .
  21. Rockne, RC, Hawkins-Daarud, A, Swanson, KR, Sluka, JP, Glazier, JA, Macklin, P et al.. The 2019 mathematical oncology roadmap. Phys Biol. 2019;16 (4):041005. doi: 10.1088/1478-3975/ab1a09. PubMed PMID:30991381 PubMed Central PMC6655440.
  22. Hormuth, DA 2nd, Jarrett, AM, Feng, X, Yankeelov, TE. Calibrating a Predictive Model of Tumor Growth and Angiogenesis with Quantitative MRI. Ann Biomed Eng. 2019;47 (7):1539-1551. doi: 10.1007/s10439-019-02262-9. PubMed PMID:30963385 PubMed Central PMC6544501.
  23. Hormuth, DA 2nd, Sorace, AG, Virostko, J, Abramson, RG, Bhujwalla, ZM, Enriquez-Navas, P et al.. Translating preclinical MRI methods to clinical oncology. J Magn Reson Imaging. 2019;50 (5):1377-1392. doi: 10.1002/jmri.26731. PubMed PMID:30925001 PubMed Central PMC6766430.
  24. Feng, X, Hormuth, DA 2nd, Yankeelov, TE. An adjoint-based method for a linear mechanically-coupled tumor model: Application to estimate the spatial variation of murine glioma growth based on diffusion weighted magnetic resonance imaging. Comput Mech. 2019;63 (2):159-180. doi: 10.1007/s00466-018-1589-2. PubMed PMID:30880856 PubMed Central PMC6415692.
  25. Yankeelov, TE. The Quantitative Imaging Network: A Decade of Achievement. Tomography. 2019;5 (1):A8. doi: 10.18383/j.tom.2019.00999. PubMed PMID:30854462 PubMed Central PMC6403024.
  26. Bell, LC, Semmineh, N, An, H, Eldeniz, C, Wahl, R, Schmainda, KM et al.. Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO). Tomography. 2019;5 (1):110-117. doi: 10.18383/j.tom.2018.00041. PubMed PMID:30854448 PubMed Central PMC6403027.
  27. Huang, W, Chen, Y, Fedorov, A, Li, X, Jajamovich, GH, Malyarenko, DI et al.. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part II. Tomography. 2019;5 (1):99-109. doi: 10.18383/j.tom.2018.00027. PubMed PMID:30854447 PubMed Central PMC6403046.
  28. Virostko, J, Sorace, AG, Wu, C, Ekrut, D, Jarrett, AM, Upadhyaya, RM et al.. Magnetization Transfer MRI of Breast Cancer in the Community Setting: Reproducibility and Preliminary Results in Neoadjuvant Therapy. Tomography. 2019;5 (1):44-52. doi: 10.18383/j.tom.2018.00019. PubMed PMID:30854441 PubMed Central PMC6403021.
  29. Liu, YL, Chou, CK, Kim, M, Vasisht, R, Kuo, YA, Ang, P et al.. Assessing metastatic potential of breast cancer cells based on EGFR dynamics. Sci Rep. 2019;9 (1):3395. doi: 10.1038/s41598-018-37625-0. PubMed PMID:30833579 PubMed Central PMC6399327.
  30. Ma, KY, Schonnesen, AA, Brock, A, Van Den Berg, C, Eckhardt, SG, Liu, Z et al.. Single-cell RNA sequencing of lung adenocarcinoma reveals heterogeneity of immune response-related genes. JCI Insight. 2019;4 (4):. doi: 10.1172/jci.insight.121387. PubMed PMID:30821712 PubMed Central PMC6478414.
  31. Hormuth, DA 2nd, Jarrett, AM, Lima, EABF, McKenna, MT, Fuentes, DT, Yankeelov, TE et al.. Mechanism-Based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging Data. JCO Clin Cancer Inform. 2019;3 :1-10. doi: 10.1200/CCI.18.00055. PubMed PMID:30807209 PubMed Central PMC6535803.
  32. Walker, CM, Fuentes, D, Larson, PEZ, Kundra, V, Vigneron, DB, Bankson, JA et al.. Effects of excitation angle strategy on quantitative analysis of hyperpolarized pyruvate. Magn Reson Med. 2019;81 (6):3754-3762. doi: 10.1002/mrm.27687. PubMed PMID:30793791 PubMed Central PMC6435389.
  33. Johnson, K, Gomez, A, Burton, J, White, D, Chakravarty, A, Schmid, A et al.. Directional inconsistency between Response Evaluation Criteria in Solid Tumors (RECIST) time to progression and response speed and depth. Eur J Cancer. 2019;109 :196-203. doi: 10.1016/j.ejca.2018.11.008. PubMed PMID:30738696 .
  34. Gates, EDH, Lin, JS, Weinberg, JS, Hamilton, J, Prabhu, SS, Hazle, JD et al.. Guiding the first biopsy in glioma patients using estimated Ki-67 maps derived from MRI: conventional versus advanced imaging. Neuro Oncol. 2019;21 (4):527-536. doi: 10.1093/neuonc/noz004. PubMed PMID:30657997 PubMed Central PMC6422438.
  35. Ozkan, A, Ghousifam, N, Hoopes, PJ, Yankeelov, TE, Rylander, MN. In vitro vascularized liver and tumor tissue microenvironments on a chip for dynamic determination of nanoparticle transport and toxicity. Biotechnol Bioeng. 2019;116 (5):1201-1219. doi: 10.1002/bit.26919. PubMed PMID:30636289 .
  36. Beechar, VB, Prabhu, SS, Bastos, D, Weinberg, JS, Stafford, RJ, Fuentes, D et al.. Correction to: Volumetric response of progressing post-SRS lesions treated with laser interstitial thermal therapy. J Neurooncol. 2019;141 (2):475. doi: 10.1007/s11060-019-03093-3. PubMed PMID:30635762 .
  37. Lorenzo, G, Hughes, TJR, Dominguez-Frojan, P, Reali, A, Gomez, H. Computer simulations suggest that prostate enlargement due to benign prostatic hyperplasia mechanically impedes prostate cancer growth. Proc Natl Acad Sci U S A. 2019;116 (4):1152-1161. doi: 10.1073/pnas.1815735116. PubMed PMID:30617074 PubMed Central PMC6347698.
  38. Virostko, J, Williams, J, Hilmes, M, Bowman, C, Wright, JJ, Du, L et al.. Pancreas Volume Declines During the First Year After Diagnosis of Type 1 Diabetes and Exhibits Altered Diffusion at Disease Onset. Diabetes Care. 2019;42 (2):248-257. doi: 10.2337/dc18-1507. PubMed PMID:30552135 PubMed Central PMC6341292.
  39. Bloom, MJ, Saksena, SD, Swain, GP, Behar, MS, Yankeelov, TE, Sorace, AG et al.. The effects of IKK-beta inhibition on early NF-kappa-B activation and transcription of downstream genes. Cell Signal. 2019;55 :17-25. doi: 10.1016/j.cellsig.2018.12.004. PubMed PMID:30543861 PubMed Central PMC6348059.
  40. Syed, AK, Woodall, R, Whisenant, JG, Yankeelov, TE, Sorace, AG. Characterizing Trastuzumab-Induced Alterations in Intratumoral Heterogeneity with Quantitative Imaging and Immunohistochemistry in HER2+ Breast Cancer. Neoplasia. 2019;21 (1):17-29. doi: 10.1016/j.neo.2018.10.008. PubMed PMID:30472501 PubMed Central PMC6260456.
  41. Saunders, DC, Brissova, M, Phillips, N, Shrestha, S, Walker, JT, Aramandla, R et al.. Ectonucleoside Triphosphate Diphosphohydrolase-3 Antibody Targets Adult Human Pancreatic β Cells for In Vitro and In Vivo Analysis. Cell Metab. 2019;29 (3):745-754.e4. doi: 10.1016/j.cmet.2018.10.007. PubMed PMID:30449685 PubMed Central PMC6402969.
  42. Wu, C, Pineda, F, Hormuth, DA 2nd, Karczmar, GS, Yankeelov, TE. Quantitative analysis of vascular properties derived from ultrafast DCE-MRI to discriminate malignant and benign breast tumors. Magn Reson Med. 2019;81 (3):2147-2160. doi: 10.1002/mrm.27529. PubMed PMID:30368906 PubMed Central PMC6347496.
  43. Jarrett, AM, Bloom, MJ, Godfrey, W, Syed, AK, Ekrut, DA, Ehrlich, LI et al.. Mathematical modelling of trastuzumab-induced immune response in an in vivo murine model of HER2+ breast cancer. Math Med Biol. 2019;36 (3):381-410. doi: 10.1093/imammb/dqy014. PubMed PMID:30239754 PubMed Central PMC6737347.
Search PubMed
2018
  1. Feng, X, Hormuth, DA 2nd, Yankeelov, TE. An adjoint-based method for a linear mechanically-coupled tumor model: Application to estimate the spatial variation of murine glioma growth based on diffusion weighted magnetic resonance imaging. Comput Mech. 2019;63 (2):159-180. doi: 10.1007/s00466-018-1589-2. PubMed PMID:30880856 PubMed Central PMC6415692.
  2. Virostko, J, Williams, J, Hilmes, M, Bowman, C, Wright, JJ, Du, L et al.. Pancreas Volume Declines During the First Year After Diagnosis of Type 1 Diabetes and Exhibits Altered Diffusion at Disease Onset. Diabetes Care. 2019;42 (2):248-257. doi: 10.2337/dc18-1507. PubMed PMID:30552135 PubMed Central PMC6341292.
  3. Bloom, MJ, Saksena, SD, Swain, GP, Behar, MS, Yankeelov, TE, Sorace, AG et al.. The effects of IKK-beta inhibition on early NF-kappa-B activation and transcription of downstream genes. Cell Signal. 2019;55 :17-25. doi: 10.1016/j.cellsig.2018.12.004. PubMed PMID:30543861 PubMed Central PMC6348059.
  4. Syed, AK, Woodall, R, Whisenant, JG, Yankeelov, TE, Sorace, AG. Characterizing Trastuzumab-Induced Alterations in Intratumoral Heterogeneity with Quantitative Imaging and Immunohistochemistry in HER2+ Breast Cancer. Neoplasia. 2019;21 (1):17-29. doi: 10.1016/j.neo.2018.10.008. PubMed PMID:30472501 PubMed Central PMC6260456.
  5. King, K, Quarles, J, Ravi, V, Chowdhury, TI, Friday, D, Sisson, C et al.. The Impact of a Location-Sensing Electronic Health Record on Clinician Efficiency and Accuracy: A Pilot Simulation Study. Appl Clin Inform. 2018;9 (4):841-848. doi: 10.1055/s-0038-1675812. PubMed PMID:30463095 PubMed Central PMC6249134.
  6. Saunders, DC, Brissova, M, Phillips, N, Shrestha, S, Walker, JT, Aramandla, R et al.. Ectonucleoside Triphosphate Diphosphohydrolase-3 Antibody Targets Adult Human Pancreatic β Cells for In Vitro and In Vivo Analysis. Cell Metab. 2019;29 (3):745-754.e4. doi: 10.1016/j.cmet.2018.10.007. PubMed PMID:30449685 PubMed Central PMC6402969.
  7. Wu, C, Pineda, F, Hormuth, DA 2nd, Karczmar, GS, Yankeelov, TE. Quantitative analysis of vascular properties derived from ultrafast DCE-MRI to discriminate malignant and benign breast tumors. Magn Reson Med. 2019;81 (3):2147-2160. doi: 10.1002/mrm.27529. PubMed PMID:30368906 PubMed Central PMC6347496.
  8. Fuentes, D, Muñoz, NM, Guo, C, Polak, U, Minhaj, AA, Allen, WJ et al.. A molecular dynamics approach towards evaluating osmotic and thermal stress in the extracellular environment. Int J Hyperthermia. 2018;35 (1):559-567. doi: 10.1080/02656736.2018.1512161. PubMed PMID:30303437 .
  9. Owens, CA, Peterson, CB, Tang, C, Koay, EJ, Yu, W, Mackin, DS et al.. Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer. PLoS One. 2018;13 (10):e0205003. doi: 10.1371/journal.pone.0205003. PubMed PMID:30286184 PubMed Central PMC6171919.
  10. Lima, EABF, Ghousifam, N, Ozkan, A, Oden, JT, Shahmoradi, A, Rylander, MN et al.. Calibration of Multi-Parameter Models of Avascular Tumor Growth Using Time Resolved Microscopy Data. Sci Rep. 2018;8 (1):14558. doi: 10.1038/s41598-018-32347-9. PubMed PMID:30266911 PubMed Central PMC6162291.
  11. Jarrett, AM, Lima, EABF, Hormuth, DA 2nd, McKenna, MT, Feng, X, Ekrut, DA et al.. Mathematical models of tumor cell proliferation: A review of the literature. Expert Rev Anticancer Ther. 2018;18 (12):1271-1286. doi: 10.1080/14737140.2018.1527689. PubMed PMID:30252552 PubMed Central PMC6295418.
  12. Joyce, MH, Lu, C, James, ER, Hegab, R, Allen, SC, Suggs, LJ et al.. Phenotypic Basis for Matrix Stiffness-Dependent Chemoresistance of Breast Cancer Cells to Doxorubicin. Front Oncol. 2018;8 :337. doi: 10.3389/fonc.2018.00337. PubMed PMID:30234012 PubMed Central PMC6134055.
  13. Al'Khafaji, AM, Deatherage, D, Brock, A. Control of Lineage-Specific Gene Expression by Functionalized gRNA Barcodes. ACS Synth Biol. 2018;7 (10):2468-2474. doi: 10.1021/acssynbio.8b00105. PubMed PMID:30169961 PubMed Central PMC6661167.
  14. Howard, GR, Johnson, KE, Rodriguez Ayala, A, Yankeelov, TE, Brock, A. A multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer. Sci Rep. 2018;8 (1):12058. doi: 10.1038/s41598-018-30467-w. PubMed PMID:30104569 PubMed Central PMC6089904.
  15. DeWitt, MR, Rylander, MN. Tunable Collagen Microfluidic Platform to Study Nanoparticle Transport in the Tumor Microenvironment. Methods Mol Biol. 2018;1831 :159-178. doi: 10.1007/978-1-4939-8661-3_12. PubMed PMID:30051431 .
  16. Khalaf, AM, Fuentes, D, Morshid, AI, Burke, MR, Kaseb, AO, Hassan, M et al.. Role of Wnt/β-catenin signaling in hepatocellular carcinoma, pathogenesis, and clinical significance. J Hepatocell Carcinoma. 2018;5 :61-73. doi: 10.2147/JHC.S156701. PubMed PMID:29984212 PubMed Central PMC6027703.
  17. Bobo, MF, Bao, S, Huo, Y, Yao, Y, Virostko, J, Plassard, AJ et al.. Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation. Proc SPIE Int Soc Opt Eng. 2018;10574 :. doi: 10.1117/12.2293751. PubMed PMID:29887665 PubMed Central PMC5992909.
  18. Jarrett, AM, Hormuth, DA, Barnes, SL, Feng, X, Huang, W, Yankeelov, TE et al.. Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant chemotherapy: theory and preliminary clinical results. Phys Med Biol. 2018;63 (10):105015. doi: 10.1088/1361-6560/aac040. PubMed PMID:29697054 PubMed Central PMC5985823.
  19. McKenna, MT, Weis, JA, Brock, A, Quaranta, V, Yankeelov, TE. Precision Medicine with Imprecise Therapy: Computational Modeling for Chemotherapy in Breast Cancer. Transl Oncol. 2018;11 (3):732-742. doi: 10.1016/j.tranon.2018.03.009. PubMed PMID:29674173 PubMed Central PMC6056758.
  20. Sorace, AG, Wu, C, Barnes, SL, Jarrett, AM, Avery, S, Patt, D et al.. Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting. J Magn Reson Imaging. 2018; :. doi: 10.1002/jmri.26011. PubMed PMID:29570895 PubMed Central PMC6151298.
  21. Joint Head and Neck Radiotherapy-MRI Development Cooperative. Erratum: Dynamic contrast-enhanced magnetic resonance imaging for head and neck cancers. Sci Data. 2018;5 :180041. doi: 10.1038/sdata.2018.41. PubMed PMID:29557974 PubMed Central PMC5859876.
  22. Cassat, JE, Moore, JL, Wilson, KJ, Stark, Z, Prentice, BM, Van de Plas, R et al.. Integrated molecular imaging reveals tissue heterogeneity driving host-pathogen interactions. Sci Transl Med. 2018;10 (432):. doi: 10.1126/scitranslmed.aan6361. PubMed PMID:29540616 PubMed Central PMC6005374.
  23. Joint Head and Neck Radiotherapy-MRI Development Cooperative. Publisher Correction: A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations. Sci Rep. 2018;8 (1):4422. doi: 10.1038/s41598-018-20639-z. PubMed PMID:29520065 PubMed Central PMC5843662.
  24. McKenna, MT, Weis, JA, Quaranta, V, Yankeelov, TE. Variable Cell Line Pharmacokinetics Contribute to Non-Linear Treatment Response in Heterogeneous Cell Populations. Ann Biomed Eng. 2018;46 (6):899-911. doi: 10.1007/s10439-018-2001-2. PubMed PMID:29484528 PubMed Central PMC5935587.
  25. Joint Head and Neck Radiotherapy-MRI Development Cooperative. Dynamic contrast-enhanced magnetic resonance imaging for head and neck cancers. Sci Data. 2018;5 :180008. doi: 10.1038/sdata.2018.8. PubMed PMID:29437167 PubMed Central PMC5810424.
  26. Hormuth, DA 2nd, Weis, JA, Barnes, SL, Miga, MI, Quaranta, V, Yankeelov, TE et al.. Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer. Int J Radiat Oncol Biol Phys. 2018;100 (5):1270-1279. doi: 10.1016/j.ijrobp.2017.12.004. PubMed PMID:29398129 PubMed Central PMC5934308.
  27. Sorace, AG, Partridge, SC, Li, X, Virostko, J, Barnes, SL, Hippe, DS et al.. 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. J Med Imaging (Bellingham). 2018;5 (1):011019. doi: 10.1117/1.JMI.5.1.011019. PubMed PMID:29392160 PubMed Central PMC5777541.
  28. Rocha, HL, Almeida, RC, Lima, EABF, Resende, ACM, Oden, JT, Yankeelov, TE et al.. A HYBRID THREE-SCALE MODEL OF TUMOR GROWTH. Math Models Methods Appl Sci. 2018;28 (1):61-93. doi: 10.1142/S0218202518500021. PubMed PMID:29353950 PubMed Central PMC5773147.
  29. Hormuth, DA 2nd, Eldridge, SL, Weis, JA, Miga, MI, Yankeelov, TE. Mechanically Coupled Reaction-Diffusion Model to Predict Glioma Growth: Methodological Details. Methods Mol Biol. 2018;1711 :225-241. doi: 10.1007/978-1-4939-7493-1_11. PubMed PMID:29344892 PubMed Central PMC6530463.
  30. Mitchell, D, Fahrenholtz, S, MacLellan, C, Bastos, D, Rao, G, Prabhu, S et al.. A heterogeneous tissue model for treatment planning for magnetic resonance-guided laser interstitial thermal therapy. Int J Hyperthermia. 2018;34 (7):943-952. doi: 10.1080/02656736.2018.1429679. PubMed PMID:29343140 .
  31. Kang, H, Hainline, A, Arlinghaus, LR, Elderidge, S, Li, X, Abramson, VG et al.. Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results. J Med Imaging (Bellingham). 2018;5 (1):011015. doi: 10.1117/1.JMI.5.1.011015. PubMed PMID:29322067 PubMed Central PMC5747275.
  32. Beechar, VB, Prabhu, SS, Bastos, D, Weinberg, JS, Stafford, RJ, Fuentes, D et al.. Volumetric response of progressing post-SRS lesions treated with laser interstitial thermal therapy. J Neurooncol. 2018;137 (1):57-65. doi: 10.1007/s11060-017-2694-3. PubMed PMID:29204838 PubMed Central PMC5823725.
  33. Virostko, J, Hainline, A, Kang, H, Arlinghaus, LR, Abramson, RG, Barnes, SL et al.. Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis. J Med Imaging (Bellingham). 2018;5 (1):011011. doi: 10.1117/1.JMI.5.1.011011. PubMed PMID:29201942 PubMed Central PMC5701084.
  34. Malyarenko, D, Fedorov, A, Bell, L, Prah, M, Hectors, S, Arlinghaus, L et al.. Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies. J Med Imaging (Bellingham). 2018;5 (1):011006. doi: 10.1117/1.JMI.5.1.011006. PubMed PMID:29134189 PubMed Central PMC5658654.
  35. Woodall, RT, Barnes, SL, Hormuth, DA 2nd, Sorace, AG, Quarles, CC, Yankeelov, TE et al.. The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains. Magn Reson Med. 2018;80 (1):330-340. doi: 10.1002/mrm.26995. PubMed PMID:29115690 PubMed Central PMC5876107.
  36. Newitt, DC, Malyarenko, D, Chenevert, TL, Quarles, CC, Bell, L, Fedorov, A et al.. Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network. J Med Imaging (Bellingham). 2018;5 (1):011003. doi: 10.1117/1.JMI.5.1.011003. PubMed PMID:29021993 PubMed Central PMC5633866.
  37. Cardin, DB, Goff, LW, Chan, E, Whisenant, JG, Dan Ayers, G, Takebe, N et al.. Dual Src and EGFR inhibition in combination with gemcitabine in advanced pancreatic cancer: phase I results : A phase I clinical trial. Invest New Drugs. 2018;36 (3):442-450. doi: 10.1007/s10637-017-0519-z. PubMed PMID:28990119 PubMed Central PMC5891394.
  38. Bane, O, Hectors, SJ, Wagner, M, Arlinghaus, LL, Aryal, MP, Cao, Y et al.. Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE-MRI: Results from a multicenter phantom study. Magn Reson Med. 2018;79 (5):2564-2575. doi: 10.1002/mrm.26903. PubMed PMID:28913930 PubMed Central PMC5821553.
  39. MacLellan, CJ, Fuentes, D, Prabhu, S, Rao, G, Weinberg, JS, Hazle, JD et al.. A methodology for thermal dose model parameter development using perioperative MRI. Int J Hyperthermia. 2018;34 (6):687-696. doi: 10.1080/02656736.2017.1363418. PubMed PMID:28830311 .
  40. Melancon, MP, Appleton Figueira, T, Fuentes, DT, Tian, L, Qiao, Y, Gu, J et al.. Development of an Electroporation and Nanoparticle-based Therapeutic Platform for Bone Metastases. Radiology. 2018;286 (1):149-157. doi: 10.1148/radiol.2017161721. PubMed PMID:28825892 .
  41. Fahrenholtz, SJ, Madankan, R, Danish, S, Hazle, JD, Stafford, RJ, Fuentes, D et al.. Theoretical model for laser ablation outcome predictions in brain: calibration and validation on clinical MR thermometry images. Int J Hyperthermia. 2018;34 (1):101-111. doi: 10.1080/02656736.2017.1319974. PubMed PMID:28540820 PubMed Central PMC6295207.
Search PubMed
2017
  1. Hormuth, DA 2nd, Weis, JA, Barnes, SL, Miga, MI, Quaranta, V, Yankeelov, TE et al.. Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer. Int J Radiat Oncol Biol Phys. 2018;100 (5):1270-1279. doi: 10.1016/j.ijrobp.2017.12.004. PubMed PMID:29398129 PubMed Central PMC5934308.
  2. Rocha, HL, Almeida, RC, Lima, EABF, Resende, ACM, Oden, JT, Yankeelov, TE et al.. A HYBRID THREE-SCALE MODEL OF TUMOR GROWTH. Math Models Methods Appl Sci. 2018;28 (1):61-93. doi: 10.1142/S0218202518500021. PubMed PMID:29353950 PubMed Central PMC5773147.
  3. Kang, H, Hainline, A, Arlinghaus, LR, Elderidge, S, Li, X, Abramson, VG et al.. Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results. J Med Imaging (Bellingham). 2018;5 (1):011015. doi: 10.1117/1.JMI.5.1.011015. PubMed PMID:29322067 PubMed Central PMC5747275.
  4. Lima, EABF, Oden, JT, Wohlmuth, B, Shahmoradi, A, Hormuth, DA 2nd, Yankeelov, TE et al.. Selection and Validation of Predictive Models of Radiation Effects on Tumor Growth Based on Noninvasive Imaging Data. Comput Methods Appl Mech Eng. 2017;327 :277-305. doi: 10.1016/j.cma.2017.08.009. PubMed PMID:29269963 PubMed Central PMC5734134.
  5. Mang, A, Biros, G. A SEMI-LAGRANGIAN TWO-LEVEL PRECONDITIONED NEWTON-KRYLOV SOLVER FOR CONSTRAINED DIFFEOMORPHIC IMAGE REGISTRATION. SIAM J Sci Comput. 2017;39 (6):B1064-B1101. doi: 10.1137/16M1070475. PubMed PMID:29255342 PubMed Central PMC5731678.
  6. Beechar, VB, Prabhu, SS, Bastos, D, Weinberg, JS, Stafford, RJ, Fuentes, D et al.. Volumetric response of progressing post-SRS lesions treated with laser interstitial thermal therapy. J Neurooncol. 2018;137 (1):57-65. doi: 10.1007/s11060-017-2694-3. PubMed PMID:29204838 PubMed Central PMC5823725.
  7. Virostko, J, Hainline, A, Kang, H, Arlinghaus, LR, Abramson, RG, Barnes, SL et al.. Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis. J Med Imaging (Bellingham). 2018;5 (1):011011. doi: 10.1117/1.JMI.5.1.011011. PubMed PMID:29201942 PubMed Central PMC5701084.
  8. Brock, A, Huang, S. Precision Oncology: Between Vaguely Right and Precisely Wrong. Cancer Res. 2017;77 (23):6473-6479. doi: 10.1158/0008-5472.CAN-17-0448. PubMed PMID:29162615 .
  9. Rahman, MM, Feng, Y, Yankeelov, TE, Oden, JT. A fully coupled space-time multiscale modeling framework for predicting tumor growth. Comput Methods Appl Mech Eng. 2017;320 :261-286. doi: 10.1016/j.cma.2017.03.021. PubMed PMID:29158608 PubMed Central PMC5693401.
  10. Malyarenko, D, Fedorov, A, Bell, L, Prah, M, Hectors, S, Arlinghaus, L et al.. Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies. J Med Imaging (Bellingham). 2018;5 (1):011006. doi: 10.1117/1.JMI.5.1.011006. PubMed PMID:29134189 PubMed Central PMC5658654.
  11. Woodall, RT, Barnes, SL, Hormuth, DA 2nd, Sorace, AG, Quarles, CC, Yankeelov, TE et al.. The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains. Magn Reson Med. 2018;80 (1):330-340. doi: 10.1002/mrm.26995. PubMed PMID:29115690 PubMed Central PMC5876107.
  12. Newitt, DC, Malyarenko, D, Chenevert, TL, Quarles, CC, Bell, L, Fedorov, A et al.. Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network. J Med Imaging (Bellingham). 2018;5 (1):011003. doi: 10.1117/1.JMI.5.1.011003. PubMed PMID:29021993 PubMed Central PMC5633866.
  13. Cardin, DB, Goff, LW, Chan, E, Whisenant, JG, Dan Ayers, G, Takebe, N et al.. Dual Src and EGFR inhibition in combination with gemcitabine in advanced pancreatic cancer: phase I results : A phase I clinical trial. Invest New Drugs. 2018;36 (3):442-450. doi: 10.1007/s10637-017-0519-z. PubMed PMID:28990119 PubMed Central PMC5891394.
  14. Hu, Z, Li, Y, Van Nieuwenhuijze, A, Selden, HJ, Jarrett, AM, Sorace, AG et al.. CCR7 Modulates the Generation of Thymic Regulatory T Cells by Altering the Composition of the Thymic Dendritic Cell Compartment. Cell Rep. 2017;21 (1):168-180. doi: 10.1016/j.celrep.2017.09.016. PubMed PMID:28978470 PubMed Central PMC5639943.
  15. Wang, D, Arlinghaus, LR, Yankeelov, TE, Yang, X, Smith, DS. Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast. Int J Biomed Imaging. 2017;2017 :7835749. doi: 10.1155/2017/7835749. PubMed PMID:28932236 PubMed Central PMC5592397.
  16. Sorace, AG, Harvey, S, Syed, A, Yankeelov, TE. Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant Setting. Semin Oncol Nurs. 2017;33 (4):425-439. doi: 10.1016/j.soncn.2017.08.008. PubMed PMID:28927763 PubMed Central PMC5667646.
  17. Barnes, SL, Sorace, AG, Whisenant, JG, McIntyre, JO, Kang, H, Yankeelov, TE et al.. DCE- and DW-MRI as early imaging biomarkers of treatment response in a preclinical model of triple negative breast cancer. NMR Biomed. 2017;30 (11):. doi: 10.1002/nbm.3799. PubMed PMID:28915312 .
  18. Bane, O, Hectors, SJ, Wagner, M, Arlinghaus, LL, Aryal, MP, Cao, Y et al.. Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE-MRI: Results from a multicenter phantom study. Magn Reson Med. 2018;79 (5):2564-2575. doi: 10.1002/mrm.26903. PubMed PMID:28913930 PubMed Central PMC5821553.
  19. Sovizi, J, Mathieu, KB, Thrower, SL, Stefan, W, Hazle, JD, Fuentes, D et al.. Gaussian process classification of superparamagnetic relaxometry data: Phantom study. Artif Intell Med. 2017;82 :47-59. doi: 10.1016/j.artmed.2017.07.001. PubMed PMID:28911905 .
  20. Joint Head and Neck Radiotherapy-MRI Development Cooperative. A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations. Sci Rep. 2017;7 (1):11185. doi: 10.1038/s41598-017-11554-w. PubMed PMID:28894197 PubMed Central PMC5593829.
  21. MacLellan, CJ, Fuentes, D, Prabhu, S, Rao, G, Weinberg, JS, Hazle, JD et al.. A methodology for thermal dose model parameter development using perioperative MRI. Int J Hyperthermia. 2018;34 (6):687-696. doi: 10.1080/02656736.2017.1363418. PubMed PMID:28830311 .
  22. Melancon, MP, Appleton Figueira, T, Fuentes, DT, Tian, L, Qiao, Y, Gu, J et al.. Development of an Electroporation and Nanoparticle-based Therapeutic Platform for Bone Metastases. Radiology. 2018;286 (1):149-157. doi: 10.1148/radiol.2017161721. PubMed PMID:28825892 .
  23. Mitcham, T, Taghavi, H, Long, J, Wood, C, Fuentes, D, Stefan, W et al.. Photoacoustic-based sO2 estimation through excised bovine prostate tissue with interstitial light delivery. Photoacoustics. 2017;7 :47-56. doi: 10.1016/j.pacs.2017.06.004. PubMed PMID:28794990 PubMed Central PMC5540703.
  24. McKenna, MT, Weis, JA, Barnes, SL, Tyson, DR, Miga, MI, Quaranta, V et al.. A Predictive Mathematical Modeling Approach for the Study of Doxorubicin Treatment in Triple Negative Breast Cancer. Sci Rep. 2017;7 (1):5725. doi: 10.1038/s41598-017-05902-z. PubMed PMID:28720897 PubMed Central PMC5516013.
  25. Fahrenholtz, SJ, Madankan, R, Danish, S, Hazle, JD, Stafford, RJ, Fuentes, D et al.. Theoretical model for laser ablation outcome predictions in brain: calibration and validation on clinical MR thermometry images. Int J Hyperthermia. 2018;34 (1):101-111. doi: 10.1080/02656736.2017.1319974. PubMed PMID:28540820 PubMed Central PMC6295207.
  26. Clark, A, Bird, NK, Brock, A. Intraductal Delivery to the Rabbit Mammary Gland. J Vis Exp. 2017; (121):. doi: 10.3791/55209. PubMed PMID:28362409 PubMed Central PMC5408859.
  27. Kabacaoğlu, G, Quaife, B, Biros, G. Quantification of mixing in vesicle suspensions using numerical simulations in two dimensions. Phys Fluids (1994). 2017;29 (2):021901. doi: 10.1063/1.4975154. PubMed PMID:28344432 PubMed Central PMC5321511.
  28. Hormuth, DA 2nd, Weis, JA, Barnes, SL, Miga, MI, Rericha, EC, Quaranta, V et al.. A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth. J R Soc Interface. 2017;14 (128):. doi: 10.1098/rsif.2016.1010. PubMed PMID:28330985 PubMed Central PMC5378136.
  29. Yung, JP, Fuentes, D, MacLellan, CJ, Maier, F, Liapis, Y, Hazle, JD et al.. Referenceless magnetic resonance temperature imaging using Gaussian process modeling. Med Phys. 2017;44 (7):3545-3555. doi: 10.1002/mp.12231. PubMed PMID:28317125 .
  30. Lin, JS, Fuentes, DT, Chandler, A, Prabhu, SS, Weinberg, JS, Baladandayuthapani, V et al.. Performance Assessment for Brain MR Imaging Registration Methods. AJNR Am J Neuroradiol. 2017;38 (5):973-980. doi: 10.3174/ajnr.A5122. PubMed PMID:28279984 .
  31. Weis, JA, Miga, MI, Yankeelov, TE. Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy. Comput Methods Appl Mech Eng. 2017;314 :494-512. doi: 10.1016/j.cma.2016.08.024. PubMed PMID:28042181 PubMed Central PMC5193147.
  32. Madankan, R, Stefan, W, Fahrenholtz, SJ, MacLellan, CJ, Hazle, JD, Stafford, RJ et al.. Accelerated magnetic resonance thermometry in the presence of uncertainties. Phys Med Biol. 2017;62 (1):214-245. doi: 10.1088/1361-6560/62/1/214. PubMed PMID:27991449 .
  33. O'Connor, JP, Aboagye, EO, Adams, JE, Aerts, HJ, Barrington, SF, Beer, AJ et al.. Imaging biomarker roadmap for cancer studies. Nat Rev Clin Oncol. 2017;14 (3):169-186. doi: 10.1038/nrclinonc.2016.162. PubMed PMID:27725679 PubMed Central PMC5378302.
  34. Sorace, AG, Syed, AK, Barnes, SL, Quarles, CC, Sanchez, V, Kang, H et al.. Quantitative [18F]FMISO PET Imaging Shows Reduction of Hypoxia Following Trastuzumab in a Murine Model of HER2+ Breast Cancer. Mol Imaging Biol. 2017;19 (1):130-137. doi: 10.1007/s11307-016-0994-1. PubMed PMID:27506906 PubMed Central PMC5214951.
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2016
  1. Lima, EABF, Oden, JT, Hormuth, DA 2nd, Yankeelov, TE, Almeida, RC. Selection, calibration, and validation of models of tumor growth. Math Models Methods Appl Sci. 2016;26 (12):2341-2368. doi: 10.1142/S021820251650055X. PubMed PMID:28827890 PubMed Central PMC5560997.
  2. Kurland, BF, Aggarwal, S, Yankeelov, TE, Gerstner, ER, Mountz, JM, Linden, HM et al.. Accrual Patterns for Clinical Studies Involving Quantitative Imaging: Results of an NCI Quantitative Imaging Network (QIN) Survey. Tomography. 2016;2 (4):276-282. doi: 10.18383/j.tom.2016.00169. PubMed PMID:28127586 PubMed Central PMC5260812.
  3. Malyarenko, DI, Wilmes, LJ, Arlinghaus, LR, Jacobs, MA, Huang, W, Helmer, KG et al.. QIN DAWG Validation of Gradient Nonlinearity Bias Correction Workflow for Quantitative Diffusion-Weighted Imaging in Multicenter Trials. Tomography. 2016;2 (4):396-405. doi: 10.18383/j.tom.2016.00214. PubMed PMID:28105469 PubMed Central PMC5241082.
  4. Arlinghaus, LR, Dortch, RD, Whisenant, JG, Kang, H, Abramson, RG, Yankeelov, TE et al.. Quantitative Magnetization Transfer Imaging of the Breast at 3.0 T: Reproducibility in Healthy Volunteers. Tomography. 2016;2 (4):260-266. doi: 10.18383/j.tom.2016.00142. PubMed PMID:28090588 PubMed Central PMC5228602.
  5. Whisenant, JG, Dortch, RD, Grissom, W, Kang, H, Arlinghaus, LR, Yankeelov, TE et al.. Bloch-Siegert B1-Mapping Improves Accuracy and Precision of Longitudinal Relaxation Measurements in the Breast at 3 T. Tomography. 2016;2 (4):250-259. doi: 10.18383/j.tom.2016.00133. PubMed PMID:28044146 PubMed Central PMC5201175.
  6. Weis, JA, Miga, MI, Yankeelov, TE. Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy. Comput Methods Appl Mech Eng. 2017;314 :494-512. doi: 10.1016/j.cma.2016.08.024. PubMed PMID:28042181 PubMed Central PMC5193147.
  7. Madankan, R, Stefan, W, Fahrenholtz, SJ, MacLellan, CJ, Hazle, JD, Stafford, RJ et al.. Accelerated magnetic resonance thermometry in the presence of uncertainties. Phys Med Biol. 2017;62 (1):214-245. doi: 10.1088/1361-6560/62/1/214. PubMed PMID:27991449 .
  8. Williams, JM, Arlinghaus, LR, Rani, SD, Shone, MD, Abramson, VG, Pendyala, P et al.. Towards real-time topical detection and characterization of FDG dose infiltration prior to PET imaging. Eur J Nucl Med Mol Imaging. 2016;43 (13):2374-2380. doi: 10.1007/s00259-016-3477-3. PubMed PMID:27557845 PubMed Central PMC5096989.
  9. O'Connor, JP, Aboagye, EO, Adams, JE, Aerts, HJ, Barrington, SF, Beer, AJ et al.. Imaging biomarker roadmap for cancer studies. Nat Rev Clin Oncol. 2017;14 (3):169-186. doi: 10.1038/nrclinonc.2016.162. PubMed PMID:27725679 PubMed Central PMC5378302.
  10. Sharifi, F, Sooriyarachchi, AC, Altural, H, Montazami, R, Rylander, MN, Hashemi, N et al.. Fiber Based Approaches as Medicine Delivery Systems. ACS Biomater Sci Eng. 2016;2 (9):1411-1431. doi: 10.1021/acsbiomaterials.6b00281. PubMed PMID:33440580 .
  11. Ma, C, Sastry, KS, Flore, M, Gehani, S, Al-Bozom, I, Feng, Y et al.. CrossLink: a novel method for cross-condition classification of cancer subtypes. BMC Genomics. 2016;17 Suppl 7 :549. doi: 10.1186/s12864-016-2903-z. PubMed PMID:27556419 PubMed Central PMC5001207.
  12. Yankeelov, TE, Miga, MI. Introduction to the Special Section on Clinical Applications of Multi-Scale Modeling. Ann Biomed Eng. 2016;44 (9):2589-90. doi: 10.1007/s10439-016-1702-7. PubMed PMID:27491887 PubMed Central PMC4984394.
  13. Virostko, J, Hilmes, M, Eitel, K, Moore, DJ, Powers, AC. Use of the Electronic Medical Record to Assess Pancreas Size in Type 1 Diabetes. PLoS One. 2016;11 (7):e0158825. doi: 10.1371/journal.pone.0158825. PubMed PMID:27391588 PubMed Central PMC4938534.
  14. Yankeelov, TE, An, G, Saut, O, Luebeck, EG, Popel, AS, Ribba, B et al.. Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success. Ann Biomed Eng. 2016;44 (9):2626-41. doi: 10.1007/s10439-016-1691-6. PubMed PMID:27384942 PubMed Central PMC4983505.
  15. Tam, AL, Figueira, TA, Gagea, M, Ensor, JE, Dixon, K, McWatters, A et al.. Irreversible Electroporation in the Epidural Space of the Porcine Spine: Effects on Adjacent Structures. Radiology. 2016;281 (3):763-771. doi: 10.1148/radiol.2016152688. PubMed PMID:27266723 PubMed Central PMC5952366.
  16. Huang, W, Chen, Y, Fedorov, A, Li, X, Jajamovich, GH, Malyarenko, DI et al.. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge. Tomography. 2016;2 (1):56-66. doi: 10.18383/j.tom.2015.00184. PubMed PMID:27200418 PubMed Central PMC4869732.
  17. Chan, E, Arlinghaus, LR, Cardin, DB, Goff, L, Berlin, JD, Parikh, A et al.. Phase I trial of vorinostat added to chemoradiation with capecitabine in pancreatic cancer. Radiother Oncol. 2016;119 (2):312-8. doi: 10.1016/j.radonc.2016.04.013. PubMed PMID:27106554 PubMed Central PMC4961249.
  18. Akbari, H, Macyszyn, L, Da, X, Bilello, M, Wolf, RL, Martinez-Lage, M et al.. Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma. Neurosurgery. 2016;78 (4):572-80. doi: 10.1227/NEU.0000000000001202. PubMed PMID:26813856 PubMed Central PMC4853918.
  19. Sorace, AG, Quarles, CC, Whisenant, JG, Hanker, AB, McIntyre, JO, Sanchez, VM et al.. Trastuzumab improves tumor perfusion and vascular delivery of cytotoxic therapy in a murine model of HER2+ breast cancer: preliminary results. Breast Cancer Res Treat. 2016;155 (2):273-84. doi: 10.1007/s10549-016-3680-8. PubMed PMID:26791520 PubMed Central PMC4833210.
  20. Yankeelov, TE, Mankoff, DA, Schwartz, LH, Lieberman, FS, Buatti, JM, Mountz, JM et al.. Quantitative Imaging in Cancer Clinical Trials. Clin Cancer Res. 2016;22 (2):284-90. doi: 10.1158/1078-0432.CCR-14-3336. PubMed PMID:26773162 PubMed Central PMC4717912.
  21. Mang, A, Biros, G. Constrained H1-regularization schemes for diffeomorphic image registration. SIAM J Imaging Sci. 2016;9 (3):1154-1194. doi: 10.1137/15M1010919. PubMed PMID:29075361 PubMed Central PMC5654641.
  22. Abramson, RG, Arlinghaus, LR, Dula, AN, Quarles, CC, Stokes, AM, Weis, JA et al.. MR Imaging Biomarkers in Oncology Clinical Trials. Magn Reson Imaging Clin N Am. 2016;24 (1):11-29. doi: 10.1016/j.mric.2015.08.002. PubMed PMID:26613873 PubMed Central PMC4667554.
  23. Macyszyn, L, Akbari, H, Pisapia, JM, Da, X, Attiah, M, Pigrish, V et al.. Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques. Neuro Oncol. 2016;18 (3):417-25. doi: 10.1093/neuonc/nov127. PubMed PMID:26188015 PubMed Central PMC4767233.
  24. Gholami, A, Mang, A, Biros, G. An inverse problem formulation for parameter estimation of a reaction-diffusion model of low grade gliomas. J Math Biol. 2016;72 (1-2):409-33. doi: 10.1007/s00285-015-0888-x. PubMed PMID:25963601 PubMed Central PMC4643433.
  25. Malyarenko, DI, Newitt, D, J Wilmes, L, Tudorica, A, Helmer, KG, Arlinghaus, LR et al.. Demonstration of nonlinearity bias in the measurement of the apparent diffusion coefficient in multicenter trials. Magn Reson Med. 2016;75 (3):1312-23. doi: 10.1002/mrm.25754. PubMed PMID:25940607 PubMed Central PMC4630210.
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