A citation-based method for searching scientific literature

Stephanie L Barnes, Anna G Sorace, Jennifer G Whisenant, J Oliver McIntyre, Hakmook Kang, Thomas E Yankeelov. NMR Biomed 2017
Times Cited: 13







List of co-cited articles
62 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity



Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations.
Anwar R Padhani, Guoying Liu, Dow Mu Koh, Thomas L Chenevert, Harriet C Thoeny, Taro Takahara, Andrew Dzik-Jurasz, Brian D Ross, Marc Van Cauteren, David Collins,[...]. Neoplasia 2009
38

Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting.
Anna G Sorace, Chengyue Wu, Stephanie L Barnes, Angela M Jarrett, Sarah Avery, Debra Patt, Boone Goodgame, Jeffery J Luci, Hakmook Kang, Richard G Abramson,[...]. J Magn Reson Imaging 2018
32
30

Toward a science of tumor forecasting for clinical oncology.
Thomas E Yankeelov, Vito Quaranta, Katherine J Evans, Erin C Rericha. Cancer Res 2015
49
23


Quantitative Imaging in Cancer Clinical Trials.
Thomas E Yankeelov, David A Mankoff, Lawrence H Schwartz, Frank S Lieberman, John M Buatti, James M Mountz, Bradley J Erickson, Fiona M M Fennessy, Wei Huang, Jayashree Kalpathy-Cramer,[...]. Clin Cancer Res 2016
74
23

A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth.
David A Hormuth, Jared A Weis, Stephanie L Barnes, Michael I Miga, Erin C Rericha, Vito Quaranta, Thomas E Yankeelov. J R Soc Interface 2017
34
23

Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction-Diffusion Model.
Jared A Weis, Michael I Miga, Lori R Arlinghaus, Xia Li, Vandana Abramson, A Bapsi Chakravarthy, Praveen Pendyala, Thomas E Yankeelov. Cancer Res 2015
61
23

Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer.
David A Hormuth, Jared A Weis, Stephanie L Barnes, Michael I Miga, Vito Quaranta, Thomas E Yankeelov. Int J Radiat Oncol Biol Phys 2018
19
23

Quantitative multimodality imaging in cancer research and therapy.
Thomas E Yankeelov, Richard G Abramson, C Chad Quarles. Nat Rev Clin Oncol 2014
79
23

Quantitative [18F]FMISO PET Imaging Shows Reduction of Hypoxia Following Trastuzumab in a Murine Model of HER2+ Breast Cancer.
Anna G Sorace, Anum K Syed, Stephanie L Barnes, C Chad Quarles, Violeta Sanchez, Hakmook Kang, Thomas E Yankeelov. Mol Imaging Biol 2017
20
23

Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer.
Stephanie L Barnes, Anna G Sorace, Mary E Loveless, Jennifer G Whisenant, Thomas E Yankeelov. NMR Biomed 2015
27
23

Evaluating treatment response using DW-MRI and DCE-MRI in trastuzumab responsive and resistant HER2-overexpressing human breast cancer xenografts.
Jennifer G Whisenant, Anna G Sorace, J Oliver McIntyre, Hakmook Kang, Violeta Sánchez, Mary E Loveless, Thomas E Yankeelov. Transl Oncol 2014
23
23

Quantitative analysis of vascular properties derived from ultrafast DCE-MRI to discriminate malignant and benign breast tumors.
Chengyue Wu, Federico Pineda, David A Hormuth, Gregory S Karczmar, Thomas E Yankeelov. Magn Reson Med 2019
30
23

Dynamic contrast-enhanced MRI for oncology drug development.
Yu Sub Sung, Bumwoo Park, Yoonseok Choi, Hyeong-Seok Lim, Dong-Cheol Woo, Kyung Won Kim, Jeong Kon Kim. J Magn Reson Imaging 2016
22
15

Clinically relevant modeling of tumor growth and treatment response.
Thomas E Yankeelov, Nkiruka Atuegwu, David Hormuth, Jared A Weis, Stephanie L Barnes, Michael I Miga, Erin C Rericha, Vito Quaranta. Sci Transl Med 2013
102
15

Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data.
David A Hormuth, Jared A Weis, Stephanie L Barnes, Michael I Miga, Erin C Rericha, Vito Quaranta, Thomas E Yankeelov. Phys Biol 2015
31
15

Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy.
Jared A Weis, Michael I Miga, Thomas E Yankeelov. Comput Methods Appl Mech Eng 2017
36
15

Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images.
Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan. Med Image Anal 2015
13
15

Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach.
R Rockne, J K Rockhill, M Mrugala, A M Spence, I Kalet, K Hendrickson, A Lai, T Cloughesy, E C Alvord, K R Swanson. Phys Med Biol 2010
163
15

Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation.
Olivier Clatz, Maxime Sermesant, Pierre-Yves Bondiau, Hervé Delingette, Simon K Warfield, Grégoire Malandain, Nicholas Ayache. IEEE Trans Med Imaging 2005
172
15

From patient-specific mathematical neuro-oncology to precision medicine.
A L Baldock, R C Rockne, A D Boone, M L Neal, A Hawkins-Daarud, D M Corwin, C A Bridge, L A Guyman, A D Trister, M M Mrugala,[...]. Front Oncol 2013
48
15

Kidney tumor growth prediction by coupling reaction-diffusion and biomechanical model.
Xinjian Chen, Ronald M Summers, Jianhua Yao. IEEE Trans Biomed Eng 2013
29
15

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.
John Virostko, Allison Hainline, Hakmook Kang, Lori R Arlinghaus, Richard G Abramson, Stephanie L Barnes, Jeffrey D Blume, Sarah Avery, Debra Patt, Boone Goodgame,[...]. J Med Imaging (Bellingham) 2018
17
15

New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).
E A Eisenhauer, P Therasse, J Bogaerts, L H Schwartz, D Sargent, R Ford, J Dancey, S Arbuck, S Gwyther, M Mooney,[...]. Eur J Cancer 2009
15

Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling.
Ken C L Wong, Ronald M Summers, Electron Kebebew, Jianhua Yao. IEEE Trans Med Imaging 2017
22
15

Prediction of lung tumor evolution during radiotherapy in individual patients with PET.
Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan. IEEE Trans Med Imaging 2014
18
15

Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy.
Nkiruka C Atuegwu, Lori R Arlinghaus, Xia Li, E Brian Welch, Bapsi A Chakravarthy, John C Gore, Thomas E Yankeelov. Magn Reson Med 2011
31
15

A mechanically coupled reaction-diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy.
Jared A Weis, Michael I Miga, Lori R Arlinghaus, Xia Li, A Bapsi Chakravarthy, Vandana Abramson, Jaime Farley, Thomas E Yankeelov. Phys Med Biol 2013
41
15

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.
Nkiruka C Atuegwu, Lori R Arlinghaus, Xia Li, A Bapsi Chakravarthy, Vandana G Abramson, Melinda E Sanders, Thomas E Yankeelov. Transl Oncol 2013
45
15

Patient specific tumor growth prediction using multimodal images.
Yixun Liu, Samira M Sadowski, Allison B Weisbrod, Electron Kebebew, Ronald M Summers, Jianhua Yao. Med Image Anal 2014
40
15

The integration of quantitative multi-modality imaging data into mathematical models of tumors.
Nkiruka C Atuegwu, John C Gore, Thomas E Yankeelov. Phys Med Biol 2010
33
15

Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.
T Sugahara, Y Korogi, M Kochi, I Ikushima, Y Shigematu, T Hirai, T Okuda, L Liang, Y Ge, Y Komohara,[...]. J Magn Reson Imaging 1999
789
15

Mechanically Coupled Reaction-Diffusion Model to Predict Glioma Growth: Methodological Details.
David A Hormuth, Stephanie L Eldridge, Jared A Weis, Michael I Miga, Thomas E Yankeelov. Methods Mol Biol 2018
16
15



Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.
P S Tofts, G Brix, D L Buckley, J L Evelhoch, E Henderson, M V Knopp, H B Larsson, T Y Lee, N A Mayr, G J Parker,[...]. J Magn Reson Imaging 1999
15

Quantitative pharmacokinetic analysis of DCE-MRI data without an arterial input function: a reference region model.
Thomas E Yankeelov, Jeffrey J Luci, Martin Lepage, Rui Li, Laura Debusk, P Charles Lin, Ronald R Price, John C Gore. Magn Reson Imaging 2005
208
15

Radiomics: Images Are More than Pictures, They Are Data.
Robert J Gillies, Paul E Kinahan, Hedvig Hricak. Radiology 2016
15


Assessment of aggressiveness of rectal cancer using 3-T MRI: correlation between the apparent diffusion coefficient as a potential imaging biomarker and histologic prognostic factors.
Michiaki Akashi, Yuji Nakahusa, Tomomi Yakabe, Yoshiyuki Egashira, Yasuo Koga, Kenji Sumi, Hirokazu Noshiro, Hiroyuki Irie, Osamu Tokunaga, Kohji Miyazaki. Acta Radiol 2014
43
15


Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy.
Craig J Galbán, Bing Ma, Dariya Malyarenko, Martin D Pickles, Kevin Heist, Norah L Henry, Anne F Schott, Colleen H Neal, Nola M Hylton, Alnawaz Rehemtulla,[...]. PLoS One 2015
43
15


Trastuzumab improves tumor perfusion and vascular delivery of cytotoxic therapy in a murine model of HER2+ breast cancer: preliminary results.
Anna G Sorace, C Chad Quarles, Jennifer G Whisenant, Ariella B Hanker, J Oliver McIntyre, Violeta M Sanchez, Thomas E Yankeelov. Breast Cancer Res Treat 2016
29
15

Her2/neu signaling blockade improves tumor oxygenation in a multifactorial fashion in Her2/neu+ tumors.
Matthew E Hardee, Rose J Eapen, Zahid N Rabbani, Matthew R Dreher, Jeffrey Marks, Kimberly L Blackwell, Mark W Dewhirst. Cancer Chemother Pharmacol 2009
17
15



A quantitative comparison of the influence of individual versus population-derived vascular input functions on dynamic contrast enhanced-MRI in small animals.
Mary E Loveless, Jane Halliday, Carsten Liess, Lei Xu, Richard D Dortch, Jennifer Whisenant, John C Waterton, John C Gore, Thomas E Yankeelov. Magn Reson Med 2012
46
15

A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation.
Prateek Katiyar, Mathew R Divine, Ursula Kohlhofer, Leticia Quintanilla-Martinez, Bernhard Schölkopf, Bernd J Pichler, Jonathan A Disselhorst. Mol Imaging Biol 2017
10
20


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.