| Year |
Citation |
Score |
| 2024 |
Li W, Partridge SC, Newitt DC, Steingrimsson J, Marques HS, Bolan PJ, Hirano M, Bearce BA, Kalpathy-Cramer J, Boss MA, Teng X, Zhang J, Cai J, Kontos D, Cohen EA, ... ... Yankeelov TE, et al. Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge. Radiology. Imaging Cancer. 6: e230033. PMID 38180338 DOI: 10.1148/rycan.230033 |
0.337 |
|
| 2023 |
Shalom ES, Kim H, van der Heijden RA, Ahmed Z, Patel R, Hormuth DA, DiCarlo JC, Yankeelov TE, Sisco NJ, Dortch RD, Stokes AM, Inglese M, Grech-Sollars M, Toschi N, Sahoo P, et al. The ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): Results from the OSIPI-Dynamic Contrast-Enhanced challenge. Magnetic Resonance in Medicine. PMID 38115695 DOI: 10.1002/mrm.29909 |
0.303 |
|
| 2023 |
Özkan A, Stolley DL, Cressman ENK, McMillin M, Yankeelov TE, Rylander MN. Vascularized Hepatocellular Carcinoma on a Chip to Control Chemoresistance through Cirrhosis, Inflammation and Metabolic Activity. Small Structures. 4. PMID 38073766 DOI: 10.1002/sstr.202200403 |
0.766 |
|
| 2023 |
Lima EABF, Song PN, Reeves K, Larimer B, Sorace AG, Yankeelov TE. Predicting response to combination evofosfamide and immunotherapy under hypoxic conditions in murine models of colon cancer. Mathematical Biosciences and Engineering : Mbe. 20: 17625-17645. PMID 38052529 DOI: 10.3934/mbe.2023783 |
0.3 |
|
| 2023 |
Slavkova KP, Patel SH, Cacini Z, Kazerouni AS, Gardner AL, Yankeelov TE, Hormuth DA. Author Correction: Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma. Scientific Reports. 13: 8279. PMID 37217513 DOI: 10.1038/s41598-023-35324-z |
0.803 |
|
| 2023 |
Liang B, Tan J, Lozenski L, Hormuth Ii DA, Yankeelov TE, Villa U, Faghihi D. Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. Ieee Transactions On Medical Imaging. PMID 37058375 DOI: 10.1109/TMI.2023.3267349 |
0.357 |
|
| 2023 |
Slavkova KP, Patel SH, Cacini Z, Kazerouni AS, Gardner AL, Yankeelov TE, Hormuth DA. Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma. Scientific Reports. 13: 2916. PMID 36804605 DOI: 10.1038/s41598-023-30010-6 |
0.821 |
|
| 2023 |
Phillips CM, Lima EABF, Gadde M, Jarrett AM, Rylander MN, Yankeelov TE. Towards integration of time-resolved confocal microscopy of a 3D in vitro microfluidic platform with a hybrid multiscale model of tumor angiogenesis. Plos Computational Biology. 19: e1009499. PMID 36652468 DOI: 10.1371/journal.pcbi.1009499 |
0.626 |
|
| 2022 |
Slavkova KP, DiCarlo JC, Wadhwa V, Kumar S, Wu C, Virostko J, Yankeelov TE, Tamir JI. An untrained deep learning method for reconstructing dynamic MR images from accelerated model-based data. Magnetic Resonance in Medicine. PMID 36468624 DOI: 10.1002/mrm.29547 |
0.786 |
|
| 2022 |
DiCarlo JC, Jarrett AM, Kazerouni AS, Virostko J, Sorace A, Slavkova KP, Woodard S, Avery S, Patt D, Goodgame B, Yankeelov TE. Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast. Magnetic Resonance in Medicine. PMID 36321574 DOI: 10.1002/mrm.29511 |
0.804 |
|
| 2022 |
Wu C, Jarrett AM, Zhou Z, Elshafeey N, Adrada BE, Candelaria RP, Mohamed RMM, Boge M, Huo L, White JB, Tripathy D, Valero V, Litton JK, Yam C, Son JB, ... ... Yankeelov TE, et al. MRI-based digital models forecast patient-specific treatment responses to neoadjuvant chemotherapy in triple-negative breast cancer. Cancer Research. PMID 35914239 DOI: 10.1158/0008-5472.CAN-22-1329 |
0.387 |
|
| 2022 |
Wu C, Lorenzo G, Hormuth DA, Lima EABF, Slavkova KP, DiCarlo JC, Virostko J, Phillips CM, Patt D, Chung C, Yankeelov TE. Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology. Biophysics Reviews. 3: 021304. PMID 35602761 DOI: 10.1063/5.0086789 |
0.79 |
|
| 2022 |
Wu C, Hormuth D, Lorenzo G, Jarrett A, Pineda F, Howard FM, Karczmar G, Yankeelov TE. Towards patient-specific optimization of neoadjuvant treatment protocols for breast cancer based on image-guided fluid dynamics. Ieee Transactions On Bio-Medical Engineering. PMID 35439121 DOI: 10.1109/TBME.2022.3168402 |
0.575 |
|
| 2022 |
Kazerouni AS, Hormuth DA, Davis T, Bloom MJ, Mounho S, Rahman G, Virostko J, Yankeelov TE, Sorace AG. Quantifying Tumor Heterogeneity via MRI Habitats to Characterize Microenvironmental Alterations in HER2+ Breast Cancer. Cancers. 14. PMID 35406609 DOI: 10.3390/cancers14071837 |
0.369 |
|
| 2022 |
Ren Z, Pineda FD, Howard FM, Hill E, Szasz T, Safi R, Medved M, Nanda R, Yankeelov TE, Abe H, Karczmar GS. Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant Therapy. Academic Radiology. PMID 35351365 DOI: 10.1016/j.acra.2022.02.008 |
0.605 |
|
| 2022 |
Surov A, Kim JY, Aiello M, Huang W, Yankeelov TE, 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 (Athens, Greece). 36: 398-408. PMID 34972741 DOI: 10.21873/invivo.12717 |
0.351 |
|
| 2021 |
Lima EABF, Faghihi D, Philley R, Yang J, Virostko J, Phillips CM, Yankeelov TE. Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth. Plos Computational Biology. 17: e1008845. PMID 34843457 DOI: 10.1371/journal.pcbi.1008845 |
0.308 |
|
| 2021 |
Virostko J, Sorace AG, Slavkova KP, Kazerouni AS, Jarrett AM, DiCarlo JC, Woodard S, Avery S, Goodgame B, Patt D, Yankeelov TE. Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting. Breast Cancer Research : Bcr. 23: 110. PMID 34838096 DOI: 10.1186/s13058-021-01489-6 |
0.799 |
|
| 2021 |
Jarrett AM, Kazerouni AS, Wu C, Virostko J, Sorace AG, DiCarlo JC, Hormuth DA, Ekrut DA, Patt D, Goodgame B, Avery S, Yankeelov TE. Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting. Nature Protocols. PMID 34552262 DOI: 10.1038/s41596-021-00617-y |
0.397 |
|
| 2021 |
Wu C, Hormuth DA, Easley T, Eijkhout V, Pineda F, Karczmar GS, Yankeelov TE. An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom. Medical Image Analysis. 73: 102186. PMID 34329903 DOI: 10.1016/j.media.2021.102186 |
0.591 |
|
| 2021 |
Özkan A, Stolley DL, Cressman ENK, McMillin M, DeMorrow S, Yankeelov TE, Rylander MN. Tumor Microenvironment Alters Chemoresistance of Hepatocellular Carcinoma Through CYP3A4 Metabolic Activity. Frontiers in Oncology. 11: 662135. PMID 34262860 DOI: 10.3389/fonc.2021.662135 |
0.767 |
|
| 2021 |
Hormuth DA, Phillips CM, Wu C, Lima EABF, Lorenzo G, Jha PK, Jarrett AM, Oden JT, Yankeelov TE. Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data. Cancers. 13. PMID 34208448 DOI: 10.3390/cancers13123008 |
0.345 |
|
| 2021 |
Hormuth DA, Phillips CM, Wu C, Lima EABF, Lorenzo G, Jha PK, Jarrett AM, Oden JT, Yankeelov TE. Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data. Cancers. 13. PMID 34208448 DOI: 10.3390/cancers13123008 |
0.345 |
|
| 2021 |
Slavkova KP, DiCarlo JC, Kazerouni AS, Virostko J, Sorace AG, Patt D, Goodgame B, Yankeelov TE. Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer. Tomography (Ann Arbor, Mich.). 7: 253-267. PMID 34201654 DOI: 10.3390/tomography7030023 |
0.814 |
|
| 2021 |
Tunc B, Hormuth D, Biros G, Yankeelov TE. Modeling of Glioma Growth with Mass Effect by Longitudinal Magnetic Resonance Imaging. Ieee Transactions On Bio-Medical Engineering. PMID 34061731 DOI: 10.1109/TBME.2021.3085523 |
0.331 |
|
| 2021 |
Hormuth DA, Jarrett AM, Davis T, Yankeelov TE. Towards an Image-Informed Mathematical Model of In Vivo Response to Fractionated Radiation Therapy. Cancers. 13. PMID 33917080 DOI: 10.3390/cancers13081765 |
0.369 |
|
| 2021 |
Hormuth DA, Al Feghali KA, Elliott AM, Yankeelov TE, Chung C. Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation. Scientific Reports. 11: 8520. PMID 33875739 DOI: 10.1038/s41598-021-87887-4 |
0.386 |
|
| 2021 |
Virostko J, Kuketz G, Higgins E, Wu C, Sorace AG, DiCarlo JC, Avery S, Patt D, Goodgame B, Yankeelov TE. The rate of breast fibroglandular enhancement during dynamic contrast-enhanced MRI reflects response to neoadjuvant therapy. European Journal of Radiology. 136: 109534. PMID 33454460 DOI: 10.1016/j.ejrad.2021.109534 |
0.327 |
|
| 2021 |
Viguerie A, Lorenzo G, Auricchio F, Baroli D, Hughes TJR, Patton A, Reali A, Yankeelov TE, Veneziani A. Simulating the spread of COVID-19 a spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion. Applied Mathematics Letters. 111: 106617. PMID 32834475 DOI: 10.1016/J.Aml.2020.106617 |
0.321 |
|
| 2020 |
Jarrett AM, Hormuth DA, Adhikarla V, Sahoo P, Abler D, Tumyan L, Schmolze D, Mortimer J, Rockne RC, Yankeelov TE. Towards integration of Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer. Scientific Reports. 10: 20518. PMID 33239688 DOI: 10.1038/s41598-020-77397-0 |
0.347 |
|
| 2020 |
Johnson KE, Howard GR, Morgan D, Brenner EA, Gardner AL, Durrett RE, Mo W, Al'Khafaji A, Sontag ED, Jarrett AM, Yankeelov TE, Brock A. Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer. Physical Biology. 18: 016001. PMID 33215611 DOI: 10.1088/1478-3975/Abb09C |
0.356 |
|
| 2020 |
Jarrett AM, Hormuth DA, Wu C, Kazerouni AS, Ekrut DA, Virostko J, Sorace AG, DiCarlo JC, Kowalski J, Patt D, Goodgame B, Avery S, Yankeelov TE. Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data. Neoplasia (New York, N.Y.). 22: 820-830. PMID 33197744 DOI: 10.1016/j.neo.2020.10.011 |
0.37 |
|
| 2020 |
Sorace AG, Elkassem AA, Galgano SJ, Lapi SE, Larimer BM, Partridge SC, Quarles CC, Reeves K, Napier TS, Song PN, Yankeelov TE, Woodard S, Smith AD. Imaging for Response Assessment in Cancer Clinical Trials. Seminars in Nuclear Medicine. 50: 488-504. PMID 33059819 DOI: 10.1053/J.Semnuclmed.2020.05.001 |
0.44 |
|
| 2020 |
Viguerie A, Veneziani A, Lorenzo G, Baroli D, Aretz-Nellesen N, Patton A, Yankeelov TE, Reali A, Hughes TJR, Auricchio F. Diffusion-reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study. Computational Mechanics. 1-22. PMID 32836602 DOI: 10.1007/S00466-020-01888-0 |
0.302 |
|
| 2020 |
Gadde M, Phillips C, Ghousifam N, Sorace AG, Wong E, Krishnamurthy S, Syed A, Rahal O, Yankeelov TE, Woodward WA, Rylander MN. In Vitro Vascularized Tumor Platform for Modeling Tumor-Vasculature Interactions of Inflammatory Breast Cancer. Biotechnology and Bioengineering. PMID 32648934 DOI: 10.1002/Bit.27487 |
0.662 |
|
| 2020 |
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. 12. PMID 32599906 DOI: 10.3390/Cancers12061682 |
0.514 |
|
| 2020 |
Bell LC, Semmineh N, An H, Eldeniz C, Wahl R, Schmainda KM, Prah MA, Erickson BJ, Korfiatis P, Wu C, Sorace AG, Yankeelov TE, Rutledge N, Chenevert TL, Malyarenko D, 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 (Ann Arbor, Mich.). 6: 203-208. PMID 32548297 DOI: 10.18383/j.tom.2020.00012 |
0.325 |
|
| 2020 |
Özkan A, Stolley D, Cressman ENK, McMillin M, DeMorrow S, Yankeelov TE, Rylander MN. The Influence of Chronic Liver Diseases on Hepatic Vasculature: A Liver-on-a-chip Review. Micromachines. 11. PMID 32397454 DOI: 10.3390/Mi11050487 |
0.747 |
|
| 2020 |
Faghihi D, Feng X, Lima EABF, Oden JT, Yankeelov TE. A Coupled Mass Transport and Deformation Theory of Multi-constituent Tumor Growth. Journal of the Mechanics and Physics of Solids. 139. PMID 32394987 DOI: 10.1016/J.Jmps.2020.103936 |
0.325 |
|
| 2020 |
Bloom MJ, Jarrett AM, Triplett TA, Syed AK, Davis T, Yankeelov TE, Sorace AG. Anti-HER2 induced myeloid cell alterations correspond with increasing vascular maturation in a murine model of HER2+ breast cancer. Bmc Cancer. 20: 359. PMID 32345237 DOI: 10.1186/S12885-020-06868-4 |
0.371 |
|
| 2020 |
Phillips CM, Lima EABF, Woodall RT, Brock A, Yankeelov TE. A hybrid model of tumor growth and angiogenesis: In silico experiments. Plos One. 15: e0231137. PMID 32275674 DOI: 10.1371/Journal.Pone.0231137 |
0.381 |
|
| 2020 |
Wu C, Hormuth DA, Oliver TA, Pineda F, Lorenzo G, Karczmar GS, Moser RD, Yankeelov TE. Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics. Ieee Transactions On Medical Imaging. PMID 32086203 DOI: 10.1109/Tmi.2020.2975375 |
0.661 |
|
| 2020 |
Hormuth DA, Jarrett AM, Yankeelov TE. Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling. Radiation Oncology (London, England). 15: 4. PMID 31898514 DOI: 10.1186/S13014-019-1446-2 |
0.435 |
|
| 2020 |
Mittal K, Li H, Wylie D, Kaur J, Kolachina R, Sahoo B, Wei G, Toss MS, Green AR, Arasappan D, Yang J, Yankeelov T, Bhattarai S, Rakha EA, Gogineni K, et al. Molecular profiling and quantitative image analysis reveal spatial intratumor heterogeneity in TNBC. Journal of Clinical Oncology. 38. DOI: 10.1200/Jco.2020.38.15_Suppl.E12536 |
0.42 |
|
| 2020 |
Virostko J, Higgins EM, Wu C, Sorace AG, Patt D, Goodgame B, Yankeelov TE. Abstract PD9-07: The rate of parenchymal enhancement during DCE-MRI reflects response to neoadjuvant therapy Cancer Research. 80. DOI: 10.1158/1538-7445.Sabcs19-Pd9-07 |
0.484 |
|
| 2020 |
Gadde M, Phillips C, Rahal O, Woodward W, Rylander M, Yankeelov T. Abstract P6-06-02: An in vitro microfluidic tumor platform for modeling and investigating tumor stromal interactions in inflammatory breast cancer Cancer Research. 80. DOI: 10.1158/1538-7445.Sabcs19-P6-06-02 |
0.676 |
|
| 2020 |
Slavkova KP, DiCarlo JC, Syed AK, Wu C, Virostko J, Sorace AG, Yankeelov TE. Abstract P6-02-04: Investigating the feasibility of performing quantitative DCE-MRI in an abbreviated breast examination Cancer Research. 80. DOI: 10.1158/1538-7445.Sabcs19-P6-02-04 |
0.808 |
|
| 2020 |
Jarrett AM, Hormuth DA, Wu C, Virostko J, Sorace AG, DiCarlo JC, Patt D, Goodgame B, Avery S, Yankeelov TE. Abstract P2-16-17: Optimizing neoadjuvant regimens for individual breast cancer patients generated by a mathematical model utilizing quantitative magnetic resonance imaging data: Preliminary results Cancer Research. 80. DOI: 10.1158/1538-7445.Sabcs19-P2-16-17 |
0.529 |
|
| 2020 |
Bloom M, Virostko J, Sorace A, Yankeelov T. Abstract P1-18-25: Quantifying the effects of combination trastuzumab and radiation therapy in HER2 positive breast cancer under normoxic and hypoxic conditions Cancer Research. DOI: 10.1158/1538-7445.Sabcs19-P1-18-25 |
0.334 |
|
| 2019 |
Jarrett AM, Shah A, Bloom MJ, McKenna MT, Hormuth DA, Yankeelov TE, Sorace AG. Experimentally-driven mathematical modeling to improve combination targeted and cytotoxic therapy for HER2+ breast cancer. Scientific Reports. 9: 12830. PMID 31492947 DOI: 10.1038/S41598-019-49073-5 |
0.393 |
|
| 2019 |
Rockne RC, Hawkins-Daarud A, Swanson KR, Sluka JP, Glazier JA, Macklin P, Hormuth D, Jarrett AM, Lima EABDF, Oden J, Biros G, Yankeelov TE, Curtius K, Bakir IA, Wodarz D, et al. The 2019 Mathematical Oncology Roadmap. Physical Biology. PMID 30991381 DOI: 10.1088/1478-3975/Ab1A09 |
0.317 |
|
| 2019 |
Hormuth DA, Jarrett AM, Feng X, Yankeelov TE. Calibrating a Predictive Model of Tumor Growth and Angiogenesis with Quantitative MRI. Annals of Biomedical Engineering. PMID 30963385 DOI: 10.1007/S10439-019-02262-9 |
0.478 |
|
| 2019 |
Hormuth DA, Sorace AG, Virostko J, Abramson RG, Bhujwalla ZM, Enriquez-Navas P, Gillies R, Hazle JD, Mason RP, Quarles CC, Weis JA, Whisenant JG, Xu J, Yankeelov TE. Translating preclinical MRI methods to clinical oncology. Journal of Magnetic Resonance Imaging : Jmri. PMID 30925001 DOI: 10.1002/Jmri.26731 |
0.446 |
|
| 2019 |
Feng X, Hormuth DA, 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. Computational Mechanics. 63: 159-180. PMID 30880856 DOI: 10.1007/S00466-018-1589-2 |
0.451 |
|
| 2019 |
Virostko J, Sorace AG, Wu C, Ekrut D, Jarrett AM, Upadhyaya RM, Avery S, Patt D, Goodgame B, Yankeelov TE. Magnetization Transfer MRI of Breast Cancer in the Community Setting: Reproducibility and Preliminary Results in Neoadjuvant Therapy. Tomography (Ann Arbor, Mich.). 5: 44-52. PMID 30854441 DOI: 10.18383/j.tom.2018.00019 |
0.381 |
|
| 2019 |
Liu YL, Chou CK, Kim M, Vasisht R, Kuo YA, Ang P, Liu C, Perillo EP, Chen YA, Blocher K, Horng H, Chen YI, Nguyen DT, Yankeelov TE, Hung MC, et al. Assessing metastatic potential of breast cancer cells based on EGFR dynamics. Scientific Reports. 9: 3395. PMID 30833579 DOI: 10.1038/S41598-018-37625-0 |
0.343 |
|
| 2019 |
Hormuth DA, Jarrett AM, Lima EABF, McKenna MT, Fuentes DT, Yankeelov TE. Mechanism-Based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging Data. Jco Clinical Cancer Informatics. 3: 1-10. PMID 30807209 DOI: 10.1200/CCI.18.00055 |
0.409 |
|
| 2019 |
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. Biotechnology and Bioengineering. 116: 1201-1219. PMID 30636289 DOI: 10.1002/Bit.26919 |
0.791 |
|
| 2019 |
Jarrett A, Shah A, Bloom M, Yankeelov T, Sorace A. Abstract P6-17-33: A multi-scale mathematical model of combination targeted and cytotoxic therapy to evaluate treatment response in HER2+ breast cancer Cancer Research. DOI: 10.1158/1538-7445.Sabcs18-P6-17-33 |
0.362 |
|
| 2019 |
Bloom M, Jarrett A, Triplett T, Syed A, Yankeelov T, Sorace A. Abstract P4-06-17: Investigating trastuzumab-induced myeloid cell alterations for improving combination therapy in HER2+ breast cancer Cancer Research. 79. DOI: 10.1158/1538-7445.Sabcs18-P4-06-17 |
0.437 |
|
| 2019 |
Sorace A, Virostko J, Wu C, Jarrett A, Barnes S, Ekrut D, Patt D, Goodgame B, Avery S, Yankeelov T. Abstract P1-01-02: Quantitative breast MRI to predict response to neoadjuvant therapy in community imaging centers: Preliminary results Cancer Research. 79. DOI: 10.1158/1538-7445.Sabcs18-P1-01-02 |
0.484 |
|
| 2019 |
Shah A, Jarrett A, Syed A, Yankeelov T, Sorace A. Abstract 296: Trastuzumab sensitizes HER2+ breast cancer to increase efficacy of chemotherapyin vitroandin vivo Cancer Research. 79: 296-296. DOI: 10.1158/1538-7445.Am2019-296 |
0.433 |
|
| 2019 |
Lima EA, Faghihi D, Philley R, Yang J, Virostko J, Yankeelov TE. Abstract 2446: Stochastic calibration of an agent-based tumor growth model using time-resolved microscopy data Cancer Research. 79: 2446-2446. DOI: 10.1158/1538-7445.Am2019-2446 |
0.443 |
|
| 2019 |
Syed A, Whisenant J, Sorace A, Yankeelov T. Abstract 1946: Quantifying trastuzumab-induced alterations of intratumoral heterogeneity using MRI-derived tumor subregions in the preclinical setting Cancer Research. 79: 1946-1946. DOI: 10.1158/1538-7445.Am2019-1946 |
0.489 |
|
| 2019 |
Woodall R, Hormuth D, Abdelmalik M, Wu C, Feng X, Phillips W, Bao A, Hughes T, Brenner A, Yankeelov T. SCIDOT-38. DEVELOPMENT OF AN IMAGE-INFORMED MATHEMATICAL MODEL OF CONVECTION-ENHANCED DELIVERY OF NANOLIPOSOMES FOR INDIVIDUAL PATIENTS Neuro-Oncology. 21: vi279-vi279. DOI: 10.1093/Neuonc/Noz175.1174 |
0.411 |
|
| 2019 |
Yankeelov T, Hormuth D, Jarrett A, Lima E, Wu C, Woodall R, Philips C. Multi-Scale Imaging to Enable Multi-Scale Modeling for Predicting Tumor Growth and Treatment Response Biophysical Journal. 116. DOI: 10.1016/J.Bpj.2018.11.1754 |
0.37 |
|
| 2018 |
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 (New York, N.Y.). 21: 17-29. PMID 30472501 DOI: 10.1016/J.Neo.2018.10.008 |
0.517 |
|
| 2018 |
Wu C, Pineda F, Hormuth DA, Karczmar GS, Yankeelov TE. Quantitative analysis of vascular properties derived from ultrafast DCE-MRI to discriminate malignant and benign breast tumors. Magnetic Resonance in Medicine. PMID 30368906 DOI: 10.1002/Mrm.27529 |
0.614 |
|
| 2018 |
Lima EABF, Ghousifam N, Ozkan A, Oden JT, Shahmoradi A, Rylander MN, Wohlmuth B, Yankeelov TE. Calibration of Multi-Parameter Models of Avascular Tumor Growth Using Time Resolved Microscopy Data. Scientific Reports. 8: 14558. PMID 30266911 DOI: 10.1038/S41598-018-32347-9 |
0.786 |
|
| 2018 |
Jarrett AM, Lima EABF, Hormuth DA, McKenna IMT, Feng X, Ekrut DA, Resende ACM, Brock A, Yankeelov TE. Mathematical models of tumor cell proliferation: a review of the literature. Expert Review of Anticancer Therapy. PMID 30252552 DOI: 10.1080/14737140.2018.1527689 |
0.411 |
|
| 2018 |
Jarrett AM, Bloom MJ, Godfrey W, Syed AK, Ekrut DA, Ehrlich LI, Yankeelov TE, Sorace AG. Mathematical modelling of trastuzumab-induced immune response in an in vivo murine model of HER2+ breast cancer. Mathematical Medicine and Biology : a Journal of the Ima. PMID 30239754 DOI: 10.1093/Imammb/Dqy014 |
0.402 |
|
| 2018 |
Howard GR, Johnson KE, Rodriguez Ayala A, Yankeelov TE, Brock A. A multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer. Scientific Reports. 8: 12058. PMID 30104569 DOI: 10.1038/S41598-018-30467-W |
0.346 |
|
| 2018 |
Jarrett AM, Hormuth Ii DA, Barnes SL, Feng X, Huang W, Yankeelov TE. 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. Physics in Medicine and Biology. PMID 29697054 DOI: 10.1088/1361-6560/Aac040 |
0.506 |
|
| 2018 |
McKenna MT, Weis JA, Brock A, Quaranta V, Yankeelov TE. Precision Medicine with Imprecise Therapy: Computational Modeling for Chemotherapy in Breast Cancer. Translational Oncology. 11: 732-742. PMID 29674173 DOI: 10.1016/J.Tranon.2018.03.009 |
0.398 |
|
| 2018 |
Sorace AG, Wu C, Barnes SL, Jarrett AM, Avery S, Patt D, Goodgame B, Luci JJ, Kang H, Abramson RG, Yankeelov TE, Virostko J. Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting. Journal of Magnetic Resonance Imaging : Jmri. PMID 29570895 DOI: 10.1002/Jmri.26011 |
0.432 |
|
| 2018 |
Sorace AG, Partridge SC, Li X, Virostko J, Barnes SL, Hippe DS, Huang W, Yankeelov TE. Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial. Journal of Medical Imaging (Bellingham, Wash.). 5: 011019. PMID 29392160 DOI: 10.1117/1.Jmi.5.1.011019 |
0.449 |
|
| 2018 |
Rocha HL, Almeida RC, Lima EABF, Resende ACM, Oden JT, Yankeelov TE. A HYBRID THREE-SCALE MODEL OF TUMOR GROWTH. Mathematical Models & Methods in Applied Sciences : M3as. 28: 61-93. PMID 29353950 DOI: 10.1142/S0218202518500021 |
0.391 |
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| 2018 |
Hormuth DA, Eldridge SL, Weis JA, Miga MI, Yankeelov TE. Mechanically Coupled Reaction-Diffusion Model to Predict Glioma Growth: Methodological Details. Methods in Molecular Biology (Clifton, N.J.). 1711: 225-241. PMID 29344892 DOI: 10.1007/978-1-4939-7493-1_11 |
0.408 |
|
| 2018 |
Kang H, Hainline A, Arlinghaus LR, Elderidge S, Li X, Abramson VG, Chakravarthy AB, Abramson RG, Bingham B, Fakhoury K, Yankeelov TE. Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results. Journal of Medical Imaging (Bellingham, Wash.). 5: 011015. PMID 29322067 DOI: 10.1117/1.Jmi.5.1.011015 |
0.414 |
|
| 2018 |
Virostko J, Hainline A, Kang H, Arlinghaus LR, Abramson RG, Barnes SL, Blume JD, Avery S, Patt D, Goodgame B, Yankeelov TE, Sorace AG. 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. Journal of Medical Imaging (Bellingham, Wash.). 5: 011011. PMID 29201942 DOI: 10.1117/1.Jmi.5.1.011011 |
0.483 |
|
| 2018 |
Malyarenko D, Fedorov A, Bell L, Prah M, Hectors S, Arlinghaus L, Muzi M, Solaiyappan M, Jacobs M, Fung M, Shukla-Dave A, McManus K, Boss M, Taouli B, Yankeelov TE, et al. Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies. Journal of Medical Imaging (Bellingham, Wash.). 5: 011006. PMID 29134189 DOI: 10.1117/1.Jmi.5.1.011006 |
0.38 |
|
| 2018 |
Newitt DC, Malyarenko D, Chenevert TL, Quarles CC, Bell L, Fedorov A, Fennessy F, Jacobs MA, Solaiyappan M, Hectors S, Taouli B, Muzi M, Kinahan PE, Schmainda KM, Prah MA, ... ... Yankeelov TE, et al. Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network. Journal of Medical Imaging (Bellingham, Wash.). 5: 011003. PMID 29021993 DOI: 10.1117/1.Jmi.5.1.011003 |
0.346 |
|
| 2018 |
Sorace A, Virostko J, Wu C, Jarrett A, Barnes S, Luci J, Patt D, Goodgame B, Avery S, Yankeelov T. Abstract P4-02-08: Repeatability and reproducibility of quantitative breast MRI in community imaging centers: Preliminary results Cancer Research. 78. DOI: 10.1158/1538-7445.Sabcs17-P4-02-08 |
0.408 |
|
| 2018 |
Jarrett A, Yankeelov T, Ehrlich L, Godfrey W, Sorace A. Abstract P3-05-16: A mathematical model for predicting immune response in a trastuzumab treated HER2+ breast cancer animal model: Preliminary efforts Cancer Research. 78. DOI: 10.1158/1538-7445.Sabcs17-P3-05-16 |
0.364 |
|
| 2018 |
Sorace A, Virostko J, Wu C, Jarrett AM, Barnes SL, Patt D, Goodgame B, Avery S, Yankeelov TE. Abstract 3043: Quantitative MRI during neoadjuvant therapy for predicting breast cancer response in the community setting Tumor Biology. DOI: 10.1158/1538-7445.Am2018-3043 |
0.376 |
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| 2017 |
Hormuth DA, Weis JA, Barnes SL, Miga MI, Quaranta V, Yankeelov TE. Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer. International Journal of Radiation Oncology, Biology, Physics. PMID 29398129 DOI: 10.1016/J.Ijrobp.2017.12.004 |
0.349 |
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| 2017 |
Lima EABF, Oden JT, Wohlmuth B, Shahmoradi A, Hormuth DA, Yankeelov TE, Scarabosio L, Horger T. Selection and Validation of Predictive Models of Radiation Effects on Tumor Growth Based on Noninvasive Imaging Data. Computer Methods in Applied Mechanics and Engineering. 327: 277-305. PMID 29269963 DOI: 10.1016/J.Cma.2017.08.009 |
0.4 |
|
| 2017 |
Rahman MM, Feng Y, Yankeelov TE, Oden JT. A fully coupled space-time multiscale modeling framework for predicting tumor growth. Computer Methods in Applied Mechanics and Engineering. 320: 261-286. PMID 29158608 DOI: 10.1016/J.Cma.2017.03.021 |
0.382 |
|
| 2017 |
Woodall RT, Barnes SL, Hormuth DA, Sorace AG, Quarles CC, Yankeelov TE. The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains. Magnetic Resonance in Medicine. PMID 29115690 DOI: 10.1002/Mrm.26995 |
0.433 |
|
| 2017 |
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. International Journal of Biomedical Imaging. 2017: 7835749. PMID 28932236 DOI: 10.1155/2017/7835749 |
0.485 |
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| 2017 |
Sorace AG, Harvey S, Syed A, Yankeelov TE. Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant Setting. Seminars in Oncology Nursing. PMID 28927763 DOI: 10.1016/J.Soncn.2017.08.008 |
0.376 |
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| 2017 |
Barnes SL, Sorace AG, Whisenant JG, McIntyre JO, Kang H, Yankeelov TE. DCE- and DW-MRI as early imaging biomarkers of treatment response in a preclinical model of triple negative breast cancer. Nmr in Biomedicine. PMID 28915312 DOI: 10.1002/Nbm.3799 |
0.413 |
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| 2017 |
Bane O, Hectors SJ, Wagner M, Arlinghaus LL, Aryal MP, Cao Y, Chenevert TL, Fennessy F, Huang W, Hylton NM, Kalpathy-Cramer J, Keenan KE, Malyarenko DI, Mulkern RV, Newitt DC, ... ... Yankeelov TE, et al. Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE-MRI: Results from a multicenter phantom study. Magnetic Resonance in Medicine. PMID 28913930 DOI: 10.1002/Mrm.26903 |
0.312 |
|
| 2017 |
Ger RB, Mohamed ASR, Awan MJ, Ding Y, Li K, Fave XJ, Beers AL, Driscoll B, Elhalawani H, Hormuth DA, Houdt PJV, He R, Zhou S, Mathieu KB, Li H, ... ... Yankeelov TE, et al. A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations. Scientific Reports. 7: 11185. PMID 28894197 DOI: 10.1038/S41598-017-11554-W |
0.357 |
|
| 2017 |
McKenna MT, Weis JA, Barnes SL, Tyson DR, Miga MI, Quaranta V, Yankeelov TE. A Predictive Mathematical Modeling Approach for the Study of Doxorubicin Treatment in Triple Negative Breast Cancer. Scientific Reports. 7: 5725. PMID 28720897 DOI: 10.1038/S41598-017-05902-Z |
0.406 |
|
| 2017 |
Hormuth DA, Weis JA, Barnes SL, Miga MI, Rericha EC, Quaranta V, Yankeelov TE. A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth. Journal of the Royal Society, Interface. 14. PMID 28330985 DOI: 10.1098/Rsif.2016.1010 |
0.381 |
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| 2017 |
Weis JA, Miga MI, Yankeelov TE. Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy. Computer Methods in Applied Mechanics and Engineering. 314: 494-512. PMID 28042181 DOI: 10.1016/J.Cma.2016.08.024 |
0.489 |
|
| 2017 |
Syed A, Quarles C, McIntyre J, Barnes S, Yankeelov T, Sorace A. Abstract P4-12-12: Quantitativein vivoimaging of intratumoral heterogeneity to assess tumor response to trastuzumab treatment in a preclinical model of HER2+ breast cancer Cancer Research. 77. DOI: 10.1158/1538-7445.Sabcs16-P4-12-12 |
0.425 |
|
| 2017 |
Sorace A, Barnes S, Quarles C, McIntyre J, Yankeelov T. Abstract P4-02-02: Increased tumor perfusion following treatment with trastuzumab as measured by contrast-enhanced ultrasound Cancer Research. 77. DOI: 10.1158/1538-7445.Sabcs16-P4-02-02 |
0.365 |
|
| 2017 |
Woodall RT, Eldridge SL, Sorace AG, Yankeelov TE. Abstract A23: A finite element model of perfusion and diffusion within tumors based on dynamic contrast enhanced magnetic resonance imaging Cancer Research. 77. DOI: 10.1158/1538-7445.Epso16-A23 |
0.416 |
|
| 2017 |
Searfoss AM, McKenna MT, Quaranta V, Yankeelov TE, Rericha EC. Abstract A22: A window into 3D culture: A multi-modal imaging compatible bioreactor for developing tumor growth models Cancer Research. 77. DOI: 10.1158/1538-7445.Epso16-A22 |
0.364 |
|
| 2017 |
McKenna MT, Barnes SL, Weis JA, Searfoss AM, Tyson DR, Rericha EC, Miga MI, Quaranta V, Yankeelov TE. Abstract A14: Predicting the response of triple negative breast cancer to doxorubicin Cancer Research. 77. DOI: 10.1158/1538-7445.Epso16-A14 |
0.398 |
|
| 2017 |
Lima EABF, Almeida RC, Hormuth DA, Yankeelov TE, Oden JT. Abstract A11: Calibration, selection and validation of tumor growth models Cancer Research. 77. DOI: 10.1158/1538-7445.Epso16-A11 |
0.316 |
|
| 2017 |
Johnson KE, Howard G, Brock A, Yankeelov T. Abstract LB-011: Experimentally derived multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer Cancer Research. 77. DOI: 10.1158/1538-7445.Am2017-Lb-011 |
0.361 |
|
| 2017 |
Hormuth DA, Yankeelov TE. Abstract 4530: A biophysical model for necrosis development in glioblastoma informed by subject-specific MRI measurements Cancer Research. 77: 4530-4530. DOI: 10.1158/1538-7445.Am2017-4530 |
0.324 |
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| 2017 |
Syed A, Sorace AG, Barnes SL, Arlinghaus L, Li X, Yankeelov TE. Abstract 3941: Assessing heterogeneity in DCE-MRI data of breast cancer to predict treatment response Cancer Research. 77: 3941-3941. DOI: 10.1158/1538-7445.Am2017-3941 |
0.396 |
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| 2017 |
Hormuth D, Jarrett A, Feng X, Yankeelov T. ANGI-08. PREDICTING IN VIVO TUMOR GROWTH AND ANGIOGENESIS WITH AN MRI CALIBRATED BIOPHYSICAL MODEL Neuro-Oncology. 19: vi23-vi23. DOI: 10.1093/Neuonc/Nox168.087 |
0.409 |
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| 2016 |
Lima EABF, Oden JT, Hormuth DA, Yankeelov TE, Almeida RC. Selection, calibration, and validation of models of tumor growth. Mathematical Models & Methods in Applied Sciences : M3as. 26: 2341-2368. PMID 28827890 DOI: 10.1142/S021820251650055X |
0.381 |
|
| 2016 |
Arlinghaus LR, Dortch RD, Whisenant JG, Kang H, Abramson RG, Yankeelov TE. Quantitative Magnetization Transfer Imaging of the Breast at 3.0 T: Reproducibility in Healthy Volunteers. Tomography : a Journal For Imaging Research. 2: 260-266. PMID 28090588 DOI: 10.18383/j.tom.2016.00142 |
0.301 |
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| 2016 |
O'Connor JP, Aboagye EO, Adams JE, Aerts HJ, Barrington SF, Beer AJ, Boellaard R, Bohndiek SE, Brady M, Brown G, Buckley DL, Chenevert TL, Clarke LP, Collette S, Cook GJ, ... ... Yankeelov TE, et al. Imaging biomarker roadmap for cancer studies. Nature Reviews. Clinical Oncology. PMID 27725679 DOI: 10.1038/Nrclinonc.2016.162 |
0.329 |
|
| 2016 |
Sorace AG, Syed AK, Barnes SL, Quarles CC, Sanchez V, Kang H, Yankeelov TE. Quantitative [(18)F]FMISO PET Imaging Shows Reduction of Hypoxia Following Trastuzumab in a Murine Model of HER2+ Breast Cancer. Molecular Imaging and Biology : Mib : the Official Publication of the Academy of Molecular Imaging. PMID 27506906 DOI: 10.1007/S11307-016-0994-1 |
0.363 |
|
| 2016 |
Stokes AM, Skinner JT, Yankeelov T, Quarles CC. Assessment of a Simplified Spin and Gradient Echo (sSAGE) Approach for Human Brain Tumor Perfusion Imaging. Magnetic Resonance Imaging. PMID 27457801 DOI: 10.1016/J.Mri.2016.07.004 |
0.416 |
|
| 2016 |
Yankeelov TE, An G, Saut O, Luebeck EG, Popel AS, Ribba B, Vicini P, Zhou X, Weis JA, Ye K, Genin GM. Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success. Annals of Biomedical Engineering. PMID 27384942 DOI: 10.1007/S10439-016-1691-6 |
0.3 |
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| 2016 |
Huang W, Chen Y, Fedorov A, Li X, Jajamovich GH, Malyarenko DI, Aryal MP, LaViolette PS, Oborski MJ, O'Sullivan F, Abramson RG, Jafari-Khouzani K, Afzal A, Tudorica A, Moloney B, ... ... Yankeelov TE, 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 : a Journal For Imaging Research. 2: 56-66. PMID 27200418 DOI: 10.18383/j.tom.2015.00184 |
0.304 |
|
| 2016 |
Sorace AG, Quarles CC, Whisenant JG, Hanker AB, McIntyre JO, Sanchez VM, Yankeelov TE. Trastuzumab improves tumor perfusion and vascular delivery of cytotoxic therapy in a murine model of HER2+ breast cancer: preliminary results. Breast Cancer Research and Treatment. 155: 273-84. PMID 26791520 DOI: 10.1007/S10549-016-3680-8 |
0.474 |
|
| 2016 |
Yankeelov TE, Mankoff DA, Schwartz LH, Lieberman FS, Buatti JM, Mountz JM, Erickson BJ, Fennessy FM, Huang W, Kalpathy-Cramer J, Wahl RL, Linden HM, Kinahan PE, Zhao B, Hylton NM, et al. Quantitative Imaging in Cancer Clinical Trials. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. 22: 284-90. PMID 26773162 DOI: 10.1158/1078-0432.Ccr-14-3336 |
0.376 |
|
| 2016 |
Abramson RG, Arlinghaus LR, Dula AN, Quarles CC, Stokes AM, Weis JA, Whisenant JG, Chekmenev EY, Zhukov I, Williams JM, Yankeelov TE. MR Imaging Biomarkers in Oncology Clinical Trials. Magnetic Resonance Imaging Clinics of North America. 24: 11-29. PMID 26613873 DOI: 10.1016/J.Mric.2015.08.002 |
0.399 |
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| 2016 |
Sorace A, Quarles C, Yankeelov T. Abstract P6-01-03: Trastuzumab-induced hypoxia changes in a HER2+ murine model of breast cancer Cancer Research. 76. DOI: 10.1158/1538-7445.Sabcs15-P6-01-03 |
0.462 |
|
| 2016 |
McKenna MT, Barnes SL, Searfoss A, Tyson DR, Rericha E, Quaranta V, Yankeelov TE. Abstract 776: Multiscale treatment response model for triple-negative breast cancer linking drug pharmacokinetics to tumor cell population dynamics Cancer Research. 76: 776-776. DOI: 10.1158/1538-7445.Am2016-776 |
0.391 |
|
| 2016 |
Sorace AG, Quarles CC, Sanchez V, Yankeelov TE. Abstract 4237: Decreased hypoxia in a HER2+ breast cancer model following trastuzumab therapy Cancer Research. 76: 4237-4237. DOI: 10.1158/1538-7445.Am2016-4237 |
0.463 |
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| 2016 |
DeGrandchamp JB, Whisenant JG, Arlinghaus LR, Abramson VG, Yankeelov TE, 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 Proceedings of Spie. 9788: 978811. DOI: 10.1117/12.2217008 |
0.474 |
|
| 2016 |
Sorace AG, Quarles CC, Whisenant JG, Hanker AB, McIntyre JO, Sanchez VM, Yankeelov TE. Trastuzumab improves tumor perfusion and vascular delivery of cytotoxic therapy in a murine model of HER2+ breast cancer: preliminary results Breast Cancer Research and Treatment. 155: 273-284. DOI: 10.1007/s10549-016-3680-8 |
0.306 |
|
| 2015 |
Weis JA, Miga MI, Arlinghaus LR, Li X, Abramson V, Chakravarthy AB, Pendyala P, Yankeelov TE. Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction-Diffusion Model. Cancer Research. PMID 26333809 DOI: 10.1158/0008-5472.Can-14-2945 |
0.456 |
|
| 2015 |
Barnes SL, Sorace AG, Loveless ME, Whisenant JG, Yankeelov TE. Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer. Nmr in Biomedicine. 28: 1345-56. PMID 26332194 DOI: 10.1002/Nbm.3377 |
0.788 |
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| 2015 |
Weis JA, Flint KM, Sanchez V, Yankeelov TE, Miga MI. Assessing the accuracy and reproducibility of modality independent elastography in a murine model of breast cancer. Journal of Medical Imaging (Bellingham, Wash.). 2: 036001. PMID 26158120 DOI: 10.1117/1.Jmi.2.3.036001 |
0.445 |
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| 2015 |
Williams JM, Rani SD, Li X, Arlinghaus LR, Lee TC, MacDonald LR, Partridge SC, Kang H, Whisenant JG, Abramson RG, Linden HM, Kinahan PE, Yankeelov TE. Comparison of prone versus supine 18F-FDG-PET of locally advanced breast cancer: Phantom and preliminary clinical studies. Medical Physics. 42: 3801. PMID 26133582 DOI: 10.1118/1.4921363 |
0.363 |
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| 2015 |
Conley RH, Meszoely IM, Weis JA, Pheiffer TS, Arlinghaus LR, Yankeelov TE, Miga MI. Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI. International Journal of Computer Assisted Radiology and Surgery. 10: 1985-96. PMID 26092657 DOI: 10.1007/s11548-015-1235-9 |
0.368 |
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| 2015 |
Hormuth Ii DA, Weis JA, Barnes SL, Miga MI, Rericha EC, Quaranta V, Yankeelov TE. Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data. Physical Biology. 12: 046006. PMID 26040472 DOI: 10.1088/1478-3975/12/4/046006 |
0.434 |
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| 2015 |
Malyarenko DI, Newitt D, J Wilmes L, Tudorica A, Helmer KG, Arlinghaus LR, Jacobs MA, Jajamovich G, Taouli B, Yankeelov TE, Huang W, Chenevert TL. Demonstration of nonlinearity bias in the measurement of the apparent diffusion coefficient in multicenter trials. Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. PMID 25940607 DOI: 10.1002/Mrm.25754 |
0.348 |
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| 2015 |
Smith DS, Li X, Arlinghaus LR, Yankeelov TE, Welch EB. DCEMRI.jl: a fast, validated, open source toolkit for dynamic contrast enhanced MRI analysis. Peerj. 3: e909. PMID 25922795 DOI: 10.7717/Peerj.909 |
0.425 |
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| 2015 |
Abramson RG, Lambert KF, Jones-Jackson LB, Arlinghaus LR, Williams J, Abramson VG, Chakravarthy AB, Yankeelov TE. Prone Versus Supine Breast FDG-PET/CT for Assessing Locoregional Disease Distribution in Locally Advanced Breast Cancer. Academic Radiology. 22: 853-9. PMID 25865435 DOI: 10.1016/J.Acra.2015.02.012 |
0.317 |
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| 2015 |
Baheza RA, Welch EB, Gochberg DF, Sanders M, Harvey S, Gore JC, Yankeelov TE. Detection of microcalcifications by characteristic magnetic susceptibility effects using MR phase image cross-correlation analysis. Medical Physics. 42: 1436-52. PMID 25735297 DOI: 10.1118/1.4908009 |
0.79 |
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| 2015 |
Yankeelov TE, Quaranta V, Evans KJ, Rericha EC. Toward a science of tumor forecasting for clinical oncology. Cancer Research. 75: 918-23. PMID 25592148 DOI: 10.1158/0008-5472.Can-14-2233 |
0.421 |
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| 2015 |
Felix DD, Gore JC, Yankeelov TE, Peterson TE, Barnes S, Whisenant J, Weis J, Shoukouhi S, Virostko J, Nickels M, McIntyre JO, Sanders M, Abramson V, Tantawy MN. Detection of breast cancer microcalcification using (99m)Tc-MDP SPECT or Osteosense 750EX FMT imaging. Nuclear Medicine and Biology. 42: 269-73. PMID 25533764 DOI: 10.1016/J.Nucmedbio.2014.11.010 |
0.386 |
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| 2015 |
Abramson RG, Burton KR, Yu JP, Scalzetti EM, Yankeelov TE, Rosenkrantz AB, Mendiratta-Lala M, Bartholmai BJ, Ganeshan D, Lenchik L, Subramaniam RM. Methods and challenges in quantitative imaging biomarker development. Academic Radiology. 22: 25-32. PMID 25481515 DOI: 10.1016/J.Acra.2014.09.001 |
0.306 |
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| 2015 |
Rosenkrantz AB, Mendiratta-Lala M, Bartholmai BJ, Ganeshan D, Abramson RG, Burton KR, Yu JP, Scalzetti EM, Yankeelov TE, Subramaniam RM, Lenchik L. Clinical utility of quantitative imaging. Academic Radiology. 22: 33-49. PMID 25442800 DOI: 10.1016/J.Acra.2014.08.011 |
0.319 |
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| 2015 |
Li X, Abramson RG, Arlinghaus LR, Kang H, Chakravarthy AB, Abramson VG, Farley J, Mayer IA, Kelley MC, Meszoely IM, Means-Powell J, Grau AM, Sanders M, Yankeelov TE. Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer. Investigative Radiology. 50: 195-204. PMID 25360603 DOI: 10.1097/Rli.0000000000000100 |
0.469 |
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| 2015 |
Dula AN, Dewey BE, Arlinghaus LR, Williams JM, Klomp D, Yankeelov TE, Smith S. Optimization of 7-T chemical exchange saturation transfer parameters for validation of glycosaminoglycan and amide proton transfer of fibroglandular breast tissue. Radiology. 275: 255-61. PMID 25353249 DOI: 10.1148/Radiol.14140762 |
0.313 |
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| 2015 |
Hormuth DA, Weis JA, Miga MI, Yankeelov TE. Abstract A42: A mechanically coupled reaction-diffusion model for predicting in vivo C6 glioma growth in rats Brain. 75. DOI: 10.1158/1538-7445.Brain15-A42 |
0.437 |
|
| 2015 |
Jameson KL, Frick PL, Tyson DR, Yankeelov TE, Quaranta V. Abstract 3747: Identification of NSCLC biomarkers underlying quantifiable drug-induced clonal fitness Cancer Research. 75: 3747-3747. DOI: 10.1158/1538-7445.Am2015-3747 |
0.334 |
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| 2015 |
Sorace AG, Whisenant JG, McIntyre JO, Yankeelov TE. Abstract 1492: Trastuzumab-induced normalization in a HER2+ murine model of breast cancer Cancer Research. 75: 1492-1492. DOI: 10.1158/1538-7445.Am2015-1492 |
0.477 |
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| 2015 |
Flint KM, Weis JA, Yankeelov TE, Miga MI. Voxel-level reproducibility assessment of modality independent elastography in a pre-clinical murine model Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9417. DOI: 10.1117/12.2082230 |
0.451 |
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| 2015 |
Weis JA, Johnsen AM, Wile GE, Yankeelov TE, Abramson RG, Miga MI. Development of a diaphragmatic motion-based elastography framework for assessment of liver stiffness Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9417. DOI: 10.1117/12.2081257 |
0.364 |
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| 2015 |
Barnes SL, Sorace AG, Loveless ME, Whisenant JG, Yankeelov TE. Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer Nmr in Biomedicine. DOI: 10.1002/nbm.3377 |
0.787 |
|
| 2014 |
Weis J, Miga M, Li X, Arlinghaus L, Chakravarthy A, Abramson V, Farley J, Yankeelov T. WE-E-17A-08: Prediction of Response to Neoadjuvant Chemotherapy Using a Mechanically Coupled Reaction-Diffusion Model. Medical Physics. 41: 509. PMID 28037059 DOI: 10.1118/1.4889450 |
0.432 |
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| 2014 |
Barnes SL, Whisenant JG, Xia Li, Yankeelov TE. Techniques and applications of dynamic contrast enhanced magnetic resonance imaging in cancer. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 4264-7. PMID 25570934 DOI: 10.1109/EMBC.2014.6944566 |
0.33 |
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| 2014 |
Whisenant JG, Sorace AG, McIntyre JO, Kang H, Sánchez V, Loveless ME, Yankeelov TE. Evaluating treatment response using DW-MRI and DCE-MRI in trastuzumab responsive and resistant HER2-overexpressing human breast cancer xenografts. Translational Oncology. 7: 768-79. PMID 25500087 DOI: 10.1016/J.Tranon.2014.09.011 |
0.787 |
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| 2014 |
Barnes SL, Quarles CC, Yankeelov TE. Modeling the effect of intra-voxel diffusion of contrast agent on the quantitative analysis of dynamic contrast enhanced magnetic resonance imaging. Plos One. 9: e108726. PMID 25275536 DOI: 10.1371/Journal.Pone.0108726 |
0.424 |
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| 2014 |
Yankeelov TE, Abramson RG, Quarles CC. Quantitative multimodality imaging in cancer research and therapy. Nature Reviews. Clinical Oncology. 11: 670-80. PMID 25113842 DOI: 10.1038/Nrclinonc.2014.134 |
0.386 |
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| 2014 |
Zhu H, Arlinghaus LR, Whisenant JG, Li M, Gore JC, Yankeelov TE. Sequence design and evaluation of the reproducibility of water-selective diffusion-weighted imaging of the breast at 3 T. Nmr in Biomedicine. 27: 1030-6. PMID 24986756 DOI: 10.1002/Nbm.3146 |
0.348 |
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| 2014 |
Mountz JM, Yankeelov TE, Rubin DL, Buatti JM, Erikson BJ, Fennessy FM, Gillies RJ, Huang W, Jacobs MA, Kinahan PE, Laymon CM, Linden HM, Mankoff DA, Schwartz LH, Shim H, et al. Letter to cancer center directors: Progress in quantitative imaging as a means to predict and/or measure tumor response in cancer therapy trials. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology. 32: 2115-6. PMID 24868025 DOI: 10.1200/Jco.2014.55.8866 |
0.414 |
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| 2014 |
Wilson GH, Gore JC, Yankeelov TE, Barnes S, Peterson TE, True JM, Shokouhi S, McIntyre JO, Sanders M, Abramson V, Ngyuen TQ, Mahadevan-Jansen A, Tantawy MN. An Approach to Breast Cancer Diagnosis via PET Imaging of Microcalcifications Using (18)F-NaF. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine. 55: 1138-43. PMID 24833491 DOI: 10.2967/Jnumed.114.139170 |
0.404 |
|
| 2014 |
Atuegwu NC, Li X, Arlinghaus LR, Abramson RG, Williams JM, Chakravarthy AB, Abramson VG, Yankeelov TE. Longitudinal, intermodality registration of quantitative breast PET and MRI data acquired before and during neoadjuvant chemotherapy: preliminary results. Medical Physics. 41: 052302. PMID 24784395 DOI: 10.1118/1.4870966 |
0.395 |
|
| 2014 |
Bryant ND, Li K, Does MD, Barnes S, Gochberg DF, Yankeelov TE, Park JH, Damon BM. Multi-parametric MRI characterization of inflammation in murine skeletal muscle. Nmr in Biomedicine. 27: 716-25. PMID 24777935 DOI: 10.1002/Nbm.3113 |
0.403 |
|
| 2014 |
Huang W, Li X, Chen Y, Li X, Chang MC, Oborski MJ, Malyarenko DI, Muzi M, Jajamovich GH, Fedorov A, Tudorica A, Gupta SN, Laymon CM, Marro KI, Dyvorne HA, ... ... Yankeelov TE, et al. Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge. Translational Oncology. 7: 153-66. PMID 24772219 DOI: 10.1593/Tlo.13838 |
0.443 |
|
| 2014 |
Li X, Kang H, Arlinghaus LR, Abramson RG, Chakravarthy AB, Abramson VG, Farley J, Sanders M, Yankeelov TE. Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer. Translational Oncology. 7: 14-22. PMID 24772203 DOI: 10.1593/Tlo.13748 |
0.446 |
|
| 2014 |
Fedorov A, Fluckiger J, Ayers GD, Li X, Gupta SN, Tempany C, Mulkern R, Yankeelov TE, Fennessy FM. A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: a step towards practical implementation. Magnetic Resonance Imaging. 32: 321-9. PMID 24560287 DOI: 10.1016/J.Mri.2014.01.004 |
0.422 |
|
| 2014 |
Hormuth DA, Skinner JT, Does MD, Yankeelov TE. A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats Magnetic Resonance Imaging. 32: 397-401. PMID 24556502 DOI: 10.1016/J.Mri.2013.12.019 |
0.435 |
|
| 2014 |
Seeley EH, Wilson KJ, Yankeelov TE, Johnson RW, Gore JC, Caprioli RM, Matrisian LM, Sterling JA. Co-registration of multi-modality imaging allows for comprehensive analysis of tumor-induced bone disease. Bone. 61: 208-16. PMID 24487126 DOI: 10.1016/J.Bone.2014.01.017 |
0.387 |
|
| 2014 |
Whisenant JG, Ayers GD, Loveless ME, Barnes SL, Colvin DC, Yankeelov TE. Assessing reproducibility of diffusion-weighted magnetic resonance imaging studies in a murine model of HER2+ breast cancer. Magnetic Resonance Imaging. 32: 245-9. PMID 24433723 DOI: 10.1016/J.Mri.2013.10.013 |
0.795 |
|
| 2014 |
Li X, Arlinghaus LR, Ayers GD, Chakravarthy AB, Abramson RG, Abramson VG, Atuegwu N, Farley J, Mayer IA, Kelley MC, Meszoely IM, Means-Powell J, Grau AM, Sanders M, Bhave SR, ... Yankeelov TE, et al. DCE-MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: pilot study findings. Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 71: 1592-602. PMID 23661583 DOI: 10.1002/Mrm.24782 |
0.405 |
|
| 2014 |
Hormuth D, Weis J, Rericha E, Yankeelov T. MO-G-BRF-03: BEST IN PHYSICS (JOINT IMAGING-THERAPY) - Using Quantitative MRI to Test the Validity of the Reaction-Diffusion Equation in Describing in Vivo Glioma Growth Medical Physics. 41: 435-435. DOI: 10.1118/1.4889196 |
0.409 |
|
| 2014 |
Kim DK, Weis JA, Yankeelov TE, Miga MI. Utilizing a reference material for assessing absolute tumor mechanical properties in modality independent elastography Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9038. DOI: 10.1117/12.2044195 |
0.417 |
|
| 2014 |
Conley RH, Meszoely IM, Pheiffer TS, Weis JA, Yankeelov TE, Miga MI. Image to physical space registration of supine breast MRI for image guided breast surgery Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9036. DOI: 10.1117/12.2043817 |
0.462 |
|
| 2014 |
Weis JA, Kim DK, Yankeelov TE, Miga MI. Validation and reproducibility assessment of modality independent elastography in a pre-clinical model of breast cancer Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9038. DOI: 10.1117/12.2042796 |
0.44 |
|
| 2013 |
MacDonald L, Yankeelov T, Karellas A, Boone J. WE-A-141-01: Advanced Imaging for Breast Cancer: Screening, Diagnosis, and Assessing Response to Therapy. Medical Physics. 40: 468. PMID 28519911 DOI: 10.1118/1.4815506 |
0.466 |
|
| 2013 |
Smith DS, Li X, Abramson RG, Quarles CC, Yankeelov TE, Welch EB. Potential of compressed sensing in quantitative MR imaging of cancer. Cancer Imaging : the Official Publication of the International Cancer Imaging Society. 13: 633-44. PMID 24434808 DOI: 10.1102/1470-7330.2013.0041 |
0.406 |
|
| 2013 |
Fluckiger JU, Li X, Whisenant JG, Peterson TE, Gore JC, Yankeelov TE. Using dynamic contrast-enhanced magnetic resonance imaging data to constrain a positron emission tomography kinetic model: theory and simulations. International Journal of Biomedical Imaging. 2013: 576470. PMID 24222761 DOI: 10.1155/2013/576470 |
0.396 |
|
| 2013 |
Abramson RG, Li X, Hoyt TL, Su PF, Arlinghaus LR, Wilson KJ, Abramson VG, Chakravarthy AB, Yankeelov TE. Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: preliminary results. Magnetic Resonance Imaging. 31: 1457-64. PMID 23954320 DOI: 10.1016/J.Mri.2013.07.002 |
0.426 |
|
| 2013 |
Weis JA, Miga MI, Arlinghaus LR, Li X, Chakravarthy AB, Abramson V, Farley J, Yankeelov TE. A mechanically coupled reaction-diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy. Physics in Medicine and Biology. 58: 5851-66. PMID 23920113 DOI: 10.1088/0031-9155/58/17/5851 |
0.465 |
|
| 2013 |
Atuegwu NC, Arlinghaus LR, Li X, Chakravarthy AB, Abramson VG, Sanders ME, Yankeelov TE. Parameterizing the Logistic Model of Tumor Growth by DW-MRI and DCE-MRI Data to Predict Treatment Response and Changes in Breast Cancer Cellularity during Neoadjuvant Chemotherapy. Translational Oncology. 6: 256-64. PMID 23730404 DOI: 10.1593/Tlo.13130 |
0.494 |
|
| 2013 |
Yankeelov TE, Atuegwu N, Hormuth D, Weis JA, Barnes SL, Miga MI, Rericha EC, Quaranta V. Clinically relevant modeling of tumor growth and treatment response. Science Translational Medicine. 5: 187ps9. PMID 23720579 DOI: 10.1126/Scitranslmed.3005686 |
0.426 |
|
| 2013 |
Mani S, Chen Y, Li X, Arlinghaus L, Chakravarthy AB, Abramson V, Bhave SR, Levy MA, Xu H, Yankeelov TE. Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. Journal of the American Medical Informatics Association : Jamia. 20: 688-95. PMID 23616206 DOI: 10.1136/Amiajnl-2012-001332 |
0.317 |
|
| 2013 |
Klomp DW, Dula AN, Arlinghaus LR, Italiaander M, Dortch RD, Zu Z, Williams JM, Gochberg DF, Luijten PR, Gore JC, Yankeelov TE, Smith SA. Amide proton transfer imaging of the human breast at 7T: development and reproducibility. Nmr in Biomedicine. 26: 1271-7. PMID 23559550 DOI: 10.1002/Nbm.2947 |
0.379 |
|
| 2013 |
Fluckiger JU, Loveless ME, Barnes SL, Lepage M, Yankeelov TE. A diffusion-compensated model for the analysis of DCE-MRI data: theory, simulations and experimental results. Physics in Medicine and Biology. 58: 1983-98. PMID 23458745 DOI: 10.1088/0031-9155/58/6/1983 |
0.761 |
|
| 2013 |
Dula AN, Arlinghaus LR, Dortch RD, Dewey BE, Whisenant JG, Ayers GD, Yankeelov TE, Smith SA. Amide proton transfer imaging of the breast at 3 T: establishing reproducibility and possible feasibility assessing chemotherapy response. Magnetic Resonance in Medicine. 70: 216-24. PMID 22907893 DOI: 10.1002/Mrm.24450 |
0.426 |
|
| 2013 |
Barnes SL, Whisenant JG, Loveless ME, Ayers GD, Yankeelov TE. Assessing the reproducibility of dynamic contrast enhanced magnetic resonance imaging in a murine model of breast cancer. Magnetic Resonance in Medicine. 69: 1721-34. PMID 22847762 DOI: 10.1002/Mrm.24422 |
0.807 |
|
| 2013 |
Chan E, Arlinghaus LR, Cardin DB, Goff LW, Yankeelov TE, Berlin J, McClanahan P, Holloway M, Parikh AA, Abramson RG, Merchant NB, Hiebert S, Chakravarthy AB. Phase I trial of chemoradiation with capecitabine and vorinostat in pancreatic cancer. Journal of Clinical Oncology. 31: 225-225. DOI: 10.1200/Jco.2013.31.4_Suppl.225 |
0.319 |
|
| 2013 |
Weis JA, Miga MI, Li X, Arlinghaus LR, Chakravarthy AB, Abramson V, Abramson RG, Farley J, Yankeelov TE. A mechanically coupled reaction diffusion model of breast tumor response during neoadjuvant chemotherapy Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8672. DOI: 10.1117/12.2007961 |
0.465 |
|
| 2013 |
Weisa JA, Yankeelov TE, Munoz SA, Sastry RA, Barnes SL, Arlinghaus LR, Li X, Miga MI. A consistent pre-clinical/clinical elastography approach for assessing tumor mechanical properties in therapeutic systems Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8672. DOI: 10.1117/12.2007425 |
0.403 |
|
| 2013 |
Smith DS, Arlinghaus LR, Yankeelov TE, Welch EB. Curvelets as a sparse basis for compressed sensing magnetic resonance imaging Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8669. DOI: 10.1117/12.2007032 |
0.354 |
|
| 2013 |
Hormuth DA, Yankeelov TE. In vivo imaging to initialize a biophysical model of tumor growth: Preliminary results Proceedings of the 2013 4th Annual Ornl Biomedical Sciences and Engineering Conference: Collaborative Biomedical Innovations, Bsec 2013. DOI: 10.1109/BSEC.2013.6618487 |
0.335 |
|
| 2012 |
Yankeelov TE. Integrating Imaging Data into Predictive Biomathematical and Biophysical Models of Cancer. Isrn Biomathematics. 2012. PMID 23914302 DOI: 10.5402/2012/287394 |
0.476 |
|
| 2012 |
Li X, Abramson RG, Arlinghaus LR, Chakravarthy AB, Abramson V, Mayer I, Farley J, Delbeke D, Yankeelov TE. An algorithm for longitudinal registration of PET/CT images acquired during neoadjuvant chemotherapy in breast cancer: preliminary results. Ejnmmi Research. 2: 62. PMID 23157877 DOI: 10.1186/2191-219X-2-62 |
0.412 |
|
| 2012 |
Abramson RG, Arlinghaus LR, Weis JA, Li X, Dula AN, Chekmenev EY, Smith SA, Miga MI, Abramson VG, Yankeelov TE. Current and emerging quantitative magnetic resonance imaging methods for assessing and predicting the response of breast cancer to neoadjuvant therapy. Breast Cancer (Dove Medical Press). 2012: 139-154. PMID 23154619 DOI: 10.2147/BCTT.S35882 |
0.338 |
|
| 2012 |
Barnes SL, Whisenant JG, Loveless ME, Yankeelov TE. Practical dynamic contrast enhanced MRI in small animal models of cancer: data acquisition, data analysis, and interpretation. Pharmaceutics. 4: 442-78. PMID 23105959 DOI: 10.3390/Pharmaceutics4030442 |
0.803 |
|
| 2012 |
Skinner JT, Yankeelov TE, Peterson TE, Does MD. Comparison of dynamic contrast-enhanced MRI and quantitative SPECT in a rat glioma model Contrast Media and Molecular Imaging. 7: 494-500. PMID 22991315 DOI: 10.1002/Cmmi.1479 |
0.406 |
|
| 2012 |
Yankeelov TE, Gore JC. Preface to the special issue on quantitative imaging in cancer. Magnetic Resonance Imaging. 30: 1201-2. PMID 22898684 DOI: 10.1016/J.Mri.2012.07.002 |
0.366 |
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| 2012 |
Yankeelov TE, Peterson TE, Abramson RG, Izquierdo-Garcia D, Garcia-Izquierdo D, Arlinghaus LR, Li X, Atuegwu NC, Catana C, Manning HC, Fayad ZA, Gore JC. Simultaneous PET-MRI in oncology: a solution looking for a problem? Magnetic Resonance Imaging. 30: 1342-56. PMID 22795930 DOI: 10.1016/J.Mri.2012.06.001 |
0.391 |
|
| 2012 |
Quarles CC, Gore JC, Xu L, Yankeelov TE. Comparison of dual-echo DSC-MRI- and DCE-MRI-derived contrast agent kinetic parameters. Magnetic Resonance Imaging. 30: 944-53. PMID 22617148 DOI: 10.1016/J.Mri.2012.03.008 |
0.409 |
|
| 2012 |
Smith DS, Gore JC, Yankeelov TE, Welch EB. Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods. International Journal of Biomedical Imaging. 2012: 864827. PMID 22481908 DOI: 10.1155/2012/864827 |
0.317 |
|
| 2012 |
Loveless ME, Lawson D, Collins M, Nadella MV, Reimer C, Huszar D, Halliday J, Waterton JC, Gore JC, Yankeelov TE. Comparisons of the efficacy of a Jak1/2 inhibitor (AZD1480) with a VEGF signaling inhibitor (cediranib) and sham treatments in mouse tumors using DCE-MRI, DW-MRI, and histology. Neoplasia (New York, N.Y.). 14: 54-64. PMID 22355274 DOI: 10.1593/Neo.111478 |
0.784 |
|
| 2012 |
Atuegwu NC, Colvin DC, Loveless ME, Xu L, Gore JC, Yankeelov TE. Incorporation of diffusion-weighted magnetic resonance imaging data into a simple mathematical model of tumor growth. Physics in Medicine and Biology. 57: 225-40. PMID 22156038 DOI: 10.1088/0031-9155/57/1/225 |
0.795 |
|
| 2012 |
Li X, Welch EB, Chakravarthy AB, Xu L, Arlinghaus LR, Farley J, Mayer IA, Kelley MC, Meszoely IM, Means-Powell J, Abramson VG, Grau AM, Gore JC, Yankeelov TE. Statistical comparison of dynamic contrast-enhanced MRI pharmacokinetic models in human breast cancer. Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 68: 261-71. PMID 22127821 DOI: 10.1002/Mrm.23205 |
0.417 |
|
| 2012 |
Smith DS, Li X, Gambrell JV, Arlinghaus LR, Quarles CC, Yankeelov TE, Welch EB. Robustness of quantitative compressive sensing MRI: the effect of random undersampling patterns on derived parameters for DCE- and DSC-MRI. Ieee Transactions On Medical Imaging. 31: 504-11. PMID 22010146 DOI: 10.1109/Tmi.2011.2172216 |
0.421 |
|
| 2012 |
Loveless ME, Halliday J, Liess C, Xu L, Dortch RD, Whisenant J, Waterton JC, Gore JC, Yankeelov TE. A quantitative comparison of the influence of individual versus population-derived vascular input functions on dynamic contrast enhanced-MRI in small animals. Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 67: 226-36. PMID 21688316 DOI: 10.1002/Mrm.22988 |
0.788 |
|
| 2012 |
Bright VR, Gilchuk P, Gordy L, Flyak A, Joyce S, Yankeelov T, Pham W. Abstract 1964: Development of a nanovaccine for cancer therapy Cancer Research. 72: 1964-1964. DOI: 10.1158/1538-7445.Am2012-1964 |
0.337 |
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| 2012 |
Li X, Arlinghaus L, Chakravarthy A, Abramson R, Abramson V, Farley J, Ayers G, Mayer I, Kelley M, Meszoely I, Means-Powell J, Grau A, Sanders M, Yankeelov T. Abstract P4-01-03: quantitative DCE-MRI to predict the response of primary breast cancer to neoadjuvant therapy Cancer Research. 72. DOI: 10.1158/0008-5472.Sabcs12-P4-01-03 |
0.45 |
|
| 2012 |
Adkins CT, Dobish JN, Brown CS, Mayrsohn B, Hamilton SK, Udoji F, Radford K, Yankeelov TE, Gore JC, Harth E. High relaxivity MRI imaging reagents from bimodal star polymers Polymer Chemistry. 3: 390-398. DOI: 10.1039/C1Py00474C |
0.333 |
|
| 2012 |
Li X, Arlinghaus LR, Chakravarthy AB, Farley J, Mayer IA, Abramson VG, Kelley MC, Meszoely IM, Means-Powell J, Yankeelov TE. Early DCE-MRI changes after longitudinal registration may predict breast cancer response to neoadjuvant chemotherapy Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7359: 229-235. DOI: 10.1007/978-3-642-31340-0_24 |
0.396 |
|
| 2011 |
Mani S, Chen Y, Arlinghaus LR, Li X, Chakravarthy AB, Bhave SR, Welch EB, Levy MA, Yankeelov TE. Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2011: 868-77. PMID 22195145 |
0.345 |
|
| 2011 |
Atuegwu NC, Arlinghaus LR, Li X, Welch EB, Chakravarthy BA, Gore JC, Yankeelov TE. Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy. Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 66: 1689-96. PMID 21956404 DOI: 10.1002/Mrm.23203 |
0.439 |
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| 2011 |
Li X, Welch EB, Arlinghaus LR, Chakravarthy AB, Xu L, Farley J, Loveless ME, Mayer IA, Kelley MC, Meszoely IM, Means-Powell JA, Abramson VG, Grau AM, Gore JC, Yankeelov TE. A novel AIF tracking method and comparison of DCE-MRI parameters using individual and population-based AIFs in human breast cancer. Physics in Medicine and Biology. 56: 5753-69. PMID 21841212 DOI: 10.1088/0031-9155/56/17/018 |
0.782 |
|
| 2011 |
Smith DS, Welch EB, Li X, Arlinghaus LR, Loveless ME, Koyama T, Gore JC, Yankeelov TE. Quantitative effects of using compressed sensing in dynamic contrast enhanced MRI. Physics in Medicine and Biology. 56: 4933-46. PMID 21772079 DOI: 10.1088/0031-9155/56/15/018 |
0.783 |
|
| 2011 |
Arlinghaus LR, Li X, Rahman AR, Welch EB, Xu L, Gore JC, Yankeelov TE. On the relationship between the apparent diffusion coefficient and extravascular extracellular volume fraction in human breast cancer. Magnetic Resonance Imaging. 29: 630-8. PMID 21531106 DOI: 10.1016/J.Mri.2011.02.004 |
0.447 |
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| 2011 |
Gore JC, Manning HC, Quarles CC, Waddell KW, Yankeelov TE. Magnetic resonance in the era of molecular imaging of cancer. Magnetic Resonance Imaging. 29: 587-600. PMID 21524870 DOI: 10.1016/J.Mri.2011.02.003 |
0.481 |
|
| 2011 |
Arlinghaus LR, Welch EB, Chakravarthy AB, Xu L, Farley JS, Abramson VG, Grau AM, Kelley MC, Mayer IA, Means-Powell JA, Meszoely IM, Gore JC, Yankeelov TE. Motion correction in diffusion-weighted MRI of the breast at 3T. Journal of Magnetic Resonance Imaging : Jmri. 33: 1063-70. PMID 21509862 DOI: 10.1002/Jmri.22562 |
0.469 |
|
| 2011 |
Yankeelov TE, Arlinghaus LR, Li X, Gore JC. The role of magnetic resonance imaging biomarkers in clinical trials of treatment response in cancer. Seminars in Oncology. 38: 16-25. PMID 21362513 DOI: 10.1053/J.Seminoncol.2010.11.007 |
0.48 |
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| 2011 |
Cron GO, Foottit C, Yankeelov TE, Avruch LI, Schweitzer ME, Cameron I. Arterial input functions determined from MR signal magnitude and phase for quantitative dynamic contrast-enhanced MRI in the human pelvis Magnetic Resonance in Medicine. 66: 498-504. PMID 21360747 DOI: 10.1002/Mrm.22856 |
0.316 |
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| 2011 |
Colvin DC, Loveless ME, Does MD, Yue Z, Yankeelov TE, Gore JC. Earlier detection of tumor treatment response using magnetic resonance diffusion imaging with oscillating gradients. Magnetic Resonance Imaging. 29: 315-23. PMID 21190804 DOI: 10.1016/J.Mri.2010.10.003 |
0.786 |
|
| 2010 |
Li X, Dawant BM, Welch EB, Chakravarthy AB, Xu L, Mayer I, Kelley M, Meszoely I, Means-Powell J, Gore JC, Yankeelov TE. Validation of an algorithm for the nonrigid registration of longitudinal breast MR images using realistic phantoms. Medical Physics. 37: 2541-2552. PMID 28512936 DOI: 10.1118/1.3414035 |
0.378 |
|
| 2010 |
Arlinghaus LR, Li X, Levy M, Smith D, Welch EB, Gore JC, Yankeelov TE. Current and future trends in magnetic resonance imaging assessments of the response of breast tumors to neoadjuvant chemotherapy. Journal of Oncology. 2010. PMID 20953332 DOI: 10.1155/2010/919620 |
0.494 |
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| 2010 |
Gore JC, Xu J, Colvin DC, Yankeelov TE, Parsons EC, Does MD. Characterization of tissue structure at varying length scales using temporal diffusion spectroscopy. Nmr in Biomedicine. 23: 745-56. PMID 20677208 DOI: 10.1002/Nbm.1531 |
0.303 |
|
| 2010 |
Li X, Dawant BM, Welch EB, Chakravarthy AB, Xu L, Mayer I, Kelley M, Meszoely I, Means-Powell J, Gore JC, Yankeelov TE. Validation of an algorithm for the nonrigid registration of longitudinal breast MR images using realistic phantoms. Medical Physics. 37: 2541-52. PMID 20632566 DOI: 10.1118/1.3414035 |
0.468 |
|
| 2010 |
Yankeelov TE, Atuegwu NC, Deane NG, Gore JC. Modeling tumor growth and treatment response based on quantitative imaging data. Integrative Biology : Quantitative Biosciences From Nano to Macro. 2: 338-45. PMID 20596581 DOI: 10.1039/B921497F |
0.474 |
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| 2010 |
Atuegwu NC, Gore JC, Yankeelov TE. The integration of quantitative multi-modality imaging data into mathematical models of tumors. Physics in Medicine and Biology. 55: 2429-49. PMID 20371913 DOI: 10.1088/0031-9155/55/9/001 |
0.466 |
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| 2009 |
Yankeelov TE, Gore JC. Has quantitative multimodal imaging of treatment response arrived? Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. 15: 6473-5. PMID 19861463 DOI: 10.1158/1078-0432.Ccr-09-2257 |
0.327 |
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| 2009 |
Yankeelov TE, Gore JC. Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples. Current Medical Imaging Reviews. 3: 91-107. PMID 19829742 DOI: 10.2174/157340507780619179 |
0.465 |
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| 2009 |
Yankeelov TE, Avison MJ, Damon BM, Manning HC, Peterson TE, Gore JC. Frontiers of Biomedical Imaging Science 2009: workshop report and research opportunities. Cancer Research. 69: 7902-4. PMID 19808955 DOI: 10.1158/0008-5472.Can-09-2521 |
0.323 |
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| 2009 |
Quarles CC, Gochberg DF, Gore JC, Yankeelov TE. A theoretical framework to model DSC-MRI data acquired in the presence of contrast agent extravasation. Physics in Medicine and Biology. 54: 5749-66. PMID 19729712 DOI: 10.1088/0031-9155/54/19/006 |
0.39 |
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| 2009 |
Loveless ME, Whisenant JG, Wilson K, Lyshchik A, Sinha TK, Gore JC, Yankeelov TE. Coregistration of ultrasonography and magnetic resonance imaging with a preliminary investigation of the spatial colocalization of vascular endothelial growth factor receptor 2 expression and tumor perfusion in a murine tumor model. Molecular Imaging. 8: 187-98. PMID 19728973 DOI: 10.2310/7290.2009.00018 |
0.811 |
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| 2009 |
Planey CR, Welch EB, Xu L, Chakravarthy AB, Gatenby JC, Freehardt D, Mayer I, Meszeoly I, Kelley M, Means-Powell J, Gore JC, Yankeelov TE. Temporal sampling requirements for reference region modeling of DCE-MRI data in human breast cancer. Journal of Magnetic Resonance Imaging : Jmri. 30: 121-34. PMID 19557727 DOI: 10.1002/Jmri.21812 |
0.377 |
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| 2009 |
Li X, Dawant BM, Welch EB, Chakravarthy AB, Freehardt D, Mayer I, Kelley M, Meszoely I, Gore JC, Yankeelov TE. A nonrigid registration algorithm for longitudinal breast MR images and the analysis of breast tumor response. Magnetic Resonance Imaging. 27: 1258-70. PMID 19525078 DOI: 10.1016/J.Mri.2009.05.007 |
0.499 |
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| 2009 |
Gore JC, Yankeelov TE, Peterson TE, Avison MJ. Molecular imaging without radiopharmaceuticals? Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine. 50: 999-1007. PMID 19443583 DOI: 10.2967/Jnumed.108.059576 |
0.379 |
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| 2009 |
Dortch RD, Yankeelov TE, Yue Z, Quarles CC, Gore JC, Does MD. Evidence of multiexponential T2 in rat glioblastoma. Nmr in Biomedicine. 22: 609-18. PMID 19267385 DOI: 10.1002/Nbm.1374 |
0.308 |
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| 2009 |
Li X, Yankeelov TE, Rosen GD, Gore JC, Dawant BM. Enhancement of histological volumes through averaging and their use for the analysis of magnetic resonance images. Magnetic Resonance Imaging. 27: 401-16. PMID 18786794 DOI: 10.1016/J.Mri.2008.07.016 |
0.422 |
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| 2009 |
Lee RE, Welch EB, Cobb JG, Sinha T, Gore JC, Yankeelov TE. Implementation of a semi-automated post-processing system for parametric MRI mapping of human breast cancer. Journal of Digital Imaging. 22: 424-36. PMID 18446412 DOI: 10.1007/S10278-008-9123-2 |
0.445 |
|
| 2009 |
Li X, Dawant BM, Welch EB, Chakravarthy AB, Freehardt D, Mayer I, Kelley M, Meszoely I, Gore JC, Yankeelov TE. Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7259. DOI: 10.1117/12.811216 |
0.447 |
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| 2009 |
Yankeelov TE, Atuegwu NC, Gore JC. Computational modeling in quantitative cancer imaging 2009 1st Annual Ornl Biomedical Science and Engineering Conference, Bsec 2009. DOI: 10.1109/BSEC.2009.5090456 |
0.359 |
|
| 2008 |
Loveless ME, Li X, Huamani J, Lyshchik A, Dawant B, Hallahan D, Gore JC, Yankeelov TE. A method for assessing the microvasculature in a murine tumor model using contrast-enhanced ultrasonography. Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine. 27: 1699-709. PMID 19022995 DOI: 10.7863/Jum.2008.27.12.1699 |
0.802 |
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| 2008 |
Quarles CC, Lepage M, Gorden DL, Fingleton B, Yankeelov TE, Price RR, Matrisian LM, Gore JC, McIntyre JO. Functional colonography of Min mice using dark lumen dynamic contrast-enhanced MRI. Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 60: 718-26. PMID 18727087 DOI: 10.1002/Mrm.21724 |
0.349 |
|
| 2008 |
Colvin DC, Yankeelov TE, Does MD, Yue Z, Quarles C, Gore JC. New insights into tumor microstructure using temporal diffusion spectroscopy. Cancer Research. 68: 5941-7. PMID 18632649 DOI: 10.1158/0008-5472.Can-08-0832 |
0.375 |
|
| 2008 |
Li X, Yankeelov TE, Peterson TE, Gore JC, Dawant BM. Automatic nonrigid registration of whole body CT mice images. Medical Physics. 35: 1507-20. PMID 18491546 DOI: 10.1118/1.2889758 |
0.363 |
|
| 2008 |
Faranesh AZ, Yankeelov TE. Incorporating a vascular term into a reference region model for the analysis of DCE-MRI data: A simulation study Physics in Medicine and Biology. 53: 2617-2631. PMID 18441417 DOI: 10.1088/0031-9155/53/10/012 |
0.355 |
|
| 2008 |
Yankeelov TE, Luci JJ, DeBusk LM, Lin PC, Gore JC. Incorporating the effects of transcytolemmal water exchange in a reference region model for DCE-MRI analysis: theory, simulations, and experimental results. Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 59: 326-35. PMID 18228592 DOI: 10.1002/Mrm.21449 |
0.392 |
|
| 2008 |
Ou JJ, Ong RE, Yankeelov TE, Miga MI. Evaluation of 3D modality-independent elastography for breast imaging: a simulation study. Physics in Medicine and Biology. 53: 147-63. PMID 18182693 DOI: 10.1088/0031-9155/53/1/010 |
0.414 |
|
| 2008 |
Sinha TK, Khatib-Shahidi S, Yankeelov TE, Mapara K, Ehtesham M, Cornett DS, Dawant BM, Caprioli RM, Gore JC. Integrating spatially resolved three-dimensional MALDI IMS with in vivo magnetic resonance imaging. Nature Methods. 5: 57-9. PMID 18084298 DOI: 10.1038/Nmeth1147 |
0.395 |
|
| 2008 |
Zhang Z, Ramirez NE, Yankeelov TE, Li Z, Ford LE, Qi Y, Pozzi A, Zutter MM. alpha2beta1 integrin expression in the tumor microenvironment enhances tumor angiogenesis in a tumor cell-specific manner. Blood. 111: 1980-8. PMID 18042800 DOI: 10.1182/Blood-2007-06-094680 |
0.332 |
|
| 2007 |
Pellerin M, Yankeelov TE, Lepage M. Incorporating contrast agent diffusion into the analysis of DCE-MRI data. Magnetic Resonance in Medicine. 58: 1124-34. PMID 17969007 DOI: 10.1002/Mrm.21400 |
0.42 |
|
| 2007 |
Niermann KJ, Fleischer AC, Huamani J, Yankeelov TE, Kim DW, Wilson WD, Hallahan DE. Measuring tumor perfusion in control and treated murine tumors: correlation of microbubble contrast-enhanced sonography to dynamic contrast-enhanced magnetic resonance imaging and fluorodeoxyglucose positron emission tomography. Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine. 26: 749-56. PMID 17526606 DOI: 10.7863/Jum.2007.26.6.749 |
0.436 |
|
| 2007 |
Yankeelov TE, Cron GO, Addison CL, Wallace JC, Wilkins RC, Pappas BA, Santyr GE, Gore JC. Comparison of a reference region model with direct measurement of an AIF in the analysis of DCE-MRI data. Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 57: 353-61. PMID 17260371 DOI: 10.1002/Mrm.21131 |
0.37 |
|
| 2007 |
Yankeelov TE, Lepage M, Chakravarthy A, Broome EE, Niermann KJ, Kelley MC, Meszoely I, Mayer IA, Herman CR, McManus K, Price RR, Gore JC. Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Magnetic Resonance Imaging. 25: 1-13. PMID 17222711 DOI: 10.1016/J.Mri.2006.09.006 |
0.457 |
|
| 2006 |
Kim DW, Huamani J, Niermann KJ, Lee H, Geng L, Leavitt LL, Baheza RA, Jones CC, Tumkur S, Yankeelov TE, Fleischer AC, Hallahan DE. Noninvasive assessment of tumor vasculature response to radiation-mediated, vasculature-targeted therapy using quantified power Doppler sonography: implications for improvement of therapy schedules. Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine. 25: 1507-17. PMID 17121945 DOI: 10.7863/Jum.2006.25.12.1507 |
0.773 |
|
| 2006 |
Yankeelov TE, DeBusk LM, Billheimer DD, Luci JJ, Lin PC, Price RR, Gore JC. Repeatability of a reference region model for analysis of murine DCE-MRI data at 7T. Journal of Magnetic Resonance Imaging : Jmri. 24: 1140-7. PMID 17024660 DOI: 10.1002/Jmri.20729 |
0.455 |
|
| 2006 |
Yankeelov TE, Niermann KJ, Huamani J, Kim DW, Quarles CC, Fleischer AC, Hallahan DE, Price RR, Gore JC. Correlation between estimates of tumor perfusion from microbubble contrast-enhanced sonography and dynamic contrast-enhanced magnetic resonance imaging. Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine. 25: 487-97. PMID 16567438 DOI: 10.7863/Jum.2006.25.4.487 |
0.486 |
|
| 2005 |
Yankeelov TE, Luci JJ, Lepage M, Li R, Debusk L, Lin PC, Price RR, Gore JC. Quantitative pharmacokinetic analysis of DCE-MRI data without an arterial input function: a reference region model. Magnetic Resonance Imaging. 23: 519-29. PMID 15919597 DOI: 10.1016/J.Mri.2005.02.013 |
0.417 |
|
| 2005 |
Li X, Huang W, Yankeelov TE, Tudorica A, Rooney WD, Springer CS. Shutter-speed analysis of contrast reagent bolus-tracking data: Preliminary observations in benign and malignant breast disease. Magnetic Resonance in Medicine. 53: 724-9. PMID 15723402 DOI: 10.1002/Mrm.20405 |
0.406 |
|
| 2005 |
Yankeelov TE, Rooney WD, Huang W, Dyke JP, Li X, Tudorica A, Lee JH, Koutcher JA, Springer CS. Evidence for shutter-speed variation in CR bolus-tracking studies of human pathology. Nmr in Biomedicine. 18: 173-85. PMID 15578708 DOI: 10.1002/Nbm.938 |
0.383 |
|
| 2005 |
Kim D, Huamani J, Niermann K, Reyzer M, Yankeelov T, Tumkur S, Geng L, Lee H, Baheza R, Caprioli R, Hallahan D. Radiotherapeutic Schedule Optimization for Targeting Tumor Vasculature: Implications of Non-invasive Physiologic Imaging International Journal of Radiation Oncology*Biology*Physics. 63: S466. DOI: 10.1016/J.Ijrobp.2005.07.793 |
0.781 |
|
| 2004 |
Zhou R, Pickup S, Yankeelov TE, Springer CS, Glickson JD. 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: 248-57. PMID 15282806 DOI: 10.1002/Mrm.20143 |
0.411 |
|
| 2004 |
Niermann KJ, Yankeelov TE, Donnelly EF, Hallahan DE, Fleischer AC. P13.12: Microbubble contrast-enhanced sonographic depiction of microvessel perfusion in an in vivo animal tumor model: implications for ovarian cancer Ultrasound in Obstetrics and Gynecology. 24: 345-345. DOI: 10.1002/Uog.1590 |
0.397 |
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