| Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer X Li, RG Abramson, LR Arlinghaus, H Kang, AB Chakravarthy, ... Investigative radiology 50 (4), 195-204, 2015 | 160 | 2015 |
| Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge W Huang, X Li, Y Chen, X Li, MC Chang, MJ Oborski, DI Malyarenko, ... Translational oncology 7 (1), 153-166, 2014 | 158 | 2014 |
| DCE‐MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: Pilot study findings X Li, LR Arlinghaus, GD Ayers, AB Chakravarthy, RG Abramson, ... Magnetic Resonance in Medicine 71 (4), 1592-1602, 2014 | 148 | 2014 |
| Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction–Diffusion Model JA Weis, MI Miga, LR Arlinghaus, X Li, V Abramson, AB Chakravarthy, ... Cancer research 75 (22), 4697-4707, 2015 | 109 | 2015 |
| Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: Preliminary results RG Abramson, X Li, TL Hoyt, PF Su, LR Arlinghaus, KJ Wilson, ... Magnetic resonance imaging 31 (9), 1457-1464, 2013 | 102 | 2013 |
| 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 NC Atuegwu, LR Arlinghaus, X Li, AB Chakravarthy, VG Abramson, ... Translational oncology 6 (3), 256-264, 2013 | 94 | 2013 |
| The impact of arterial input function determination variations on prostate dynamic contrast-enhanced magnetic resonance imaging pharmacokinetic modeling: a multicenter data … W Huang, Y Chen, A Fedorov, X Li, GH Jajamovich, DI Malyarenko, ... Tomography 2 (1), 56, 2016 | 93 | 2016 |
| Accuracy of image registration between MRI and light microscopy in the ex vivo brain AS Choe, Y Gao, X Li, KB Compton, I Stepniewska, AW Anderson Magnetic Resonance Imaging, 2011 | 88 | 2011 |
| Simultaneous PET–MRI in oncology: a solution looking for a problem? TE Yankeelov, TE Peterson, RG Abramson, D Garcia-Izquierdo, ... Magnetic resonance imaging 30 (9), 1342-1356, 2012 | 86 | 2012 |
| A mechanically coupled reaction–diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy JA Weis, MI Miga, LR Arlinghaus, X Li, AB Chakravarthy, V Abramson, ... Physics in medicine and biology 58 (17), 5851, 2013 | 84 | 2013 |
| A novel AIF tracking method and comparison of DCE-MRI parameters using individual and population-based AIFs in human breast cancer X Li, EB Welch, LR Arlinghaus, AB Chakravarthy, L Xu, J Farley, ... Physics in Medicine & Biology 56 (17), 5753, 2011 | 84 | 2011 |
| A nonrigid registration algorithm for longitudinal breast MR images and the analysis of breast tumor response X Li, BM Dawant, EB Welch, AB Chakravarthy, D Freehardt, I Mayer, ... Magnetic resonance imaging 27 (9), 1258-1270, 2009 | 79 | 2009 |
| Quantitative effects of using compressed sensing in dynamic contrast enhanced MRI DS Smith, EB Welch, X Li, LR Arlinghaus, ME Loveless, T Koyama, ... Physics in medicine and biology 56 (15), 4933, 2011 | 74 | 2011 |
| Regulation of two insulin granule populations within the reserve pool by distinct calcium sources M Hao, X Li, MA Rizzo, JV Rocheleau, BM Dawant, DW Piston Journal of cell science 118 (24), 5873, 2005 | 71 | 2005 |
| Errors in quantitative image analysis due to platform-dependent image scaling TL Chenevert, DI Malyarenko, D Newitt, X Li, M Jayatilake, A Tudorica, ... Translational oncology 7 (1), 65-71, 2014 | 70 | 2014 |
| Validation of DTI tractography-based measures of primary motor area connectivity in the squirrel monkey brain Y Gao, AS Choe, I Stepniewska, X Li, MJ Avison, AW Anderson PloS one 8 (10), e75065, 2013 | 65 | 2013 |
| Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy S Mani, Y Chen, X Li, L Arlinghaus, AB Chakravarthy, V Abramson, ... Journal of the American Medical Informatics Association 20 (4), 688-695, 2013 | 64 | 2013 |
| Integration of diffusion‐weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy NC Atuegwu, LR Arlinghaus, X Li, EB Welch, BA Chakravarthy, JC Gore, ... Magnetic Resonance in Medicine 66 (6), 1689-1696, 2011 | 62 | 2011 |
| Spatial and Temporal Image Registration - Quantitative MRI in Cancer T Yankeelov, RR Price, DR Pickens Taylor & Francis, 2011 | 52 | 2011 |
| Analyzing Spatial Heterogeneity in DCE-and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer X Li, H Kang, LR Arlinghaus, RG Abramson, AB Chakravarthy, ... Translational oncology 7 (1), 14-22, 2014 | 51 | 2014 |
