Xia Li (Lisa), PhD

GE Global Research

RESEARCH INTERESTS

Quantitative medical image analysis, image processing, data analysis and machine learning;
Multi-modality image analysis including: MRI (DCE/DW/DTI), PET, CT, Ultrasound, Histology, etc.;
Quantitative multi-modality imaging for assessing tumor in cancer treatment.

EXPERIENCE

• Lead Scientist, 2015-present
• GE Global Research (New York)


• Imaging Research Scientist, 2011-2014
• Vanderbilt University Institute of Imaging Science (VUIIS)


• Research Fellow, 2008-2011
• Vanderbilt University Institute of Imaging Science (VUIIS)

EDUCATION

• PhD, Dept. of EECS, Vanderbilt University, 2004-2007
• Dissertation: Multimodal Intra- and Inter-subject Nonrigid Registration of Small Animal Images
• Advisor: Dr. Benoit M. Dawant, Medical Image Processing Laboratory


• MS, Dept. of EECS, Vanderbilt University, 2002-2003
• Thesis: Automatic Tracking of Proteins in Sequences of Fluorescence Images
• Advisor: Dr. Benoit M. Dawant, Medical Image Processing Laboratory

PROFESSIONAL SERVICES

• EDITORIAL AND COMMITTEE POSITIONS:

• Medical Physics (Associate Editor, 2013 - 2015)
• Fifth International Workshop on Biomedical Image Registration (Program Committee, 2012)

• JOURNAL REVIEWER:

• Medical Image Analysis
• Neuroinformatics
• Medical Physics
• Journal of Magnetic Resonance Imaging
• IEEE Transactions on Biomedical Engineering
• Physics in Medicine and Biology (recognized as one of TOP20 Referees in 2012, 1.5% out of 1283 referees)
• Magnetic Resonance Imaging (Certificate of Excellence in Reviewing in 2013)
• Molecular Imaging
• IEEE Journal of Biomedical and Health Informatics
• British Journal of Radiology
• Technology in Cancer Research and Treatment
• ACM Transactions on Intelligent Systems and Technology
• Measurement Science and Technology
• Physica Medica: European Journal of Medical Physics
• International Journal of Computer Assisted Radiology and Surgery

BOOK CHAPTERS

1. Li X. “Spatial and Temporal Image Registration”.   Quantitative MRI in Cancer (Imaging in Medical Diagnosis and Therapy), ISBN: 978-1439820575, CRC Press, 2011.  Book
2. Cardenas-Rodriguez J, Li X, Whisenant JG, Barnes S, Stollberger R, Gore JC, Yankeelov TE. “The Basic Principles of Dynamic Contrast Enhanced Magnetic Resonance Imaging”.   MR & CT Perfusion Imaging: Clinical Applications and Theoretical Principles, ISBN: 978-1451147155, LWW / Wolters Kluwer, 2015.  Book

PEER-REVIEWED JOURNAL PAPERS

3. Huang W, Chen Y, Fedorov A, Li X, Jajamovich GH, Malyarenko DI, Aryal MP, etc., “The Impact of Arterial Input Function Determination Variation on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge”.   Tomography, 2(1):56-66, 2016.
   Journal  PubMed  PDF  
4. 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, 75(22):4697-707, 2015.
   Journal  PubMed    (IF:9.329)
5. Williams JM, Rani SD, Li X, Arlinghaus LR, Lee TC, MacDonald LR, Partridge SC, Kang H, Whisenant JG, Abramson RG, Peterson TE, Linden H, 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(7):3801-13, 2015.
   Journal  PubMed    (IF:3.012)
6. 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; DOI 10.7717/peerj.909, 2015.
   Journal  PubMed  PDF  
7. 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. “Multi-Parametric MRI for Predicting Pathological Response After the First Cycle of Neoadjuvant Chemotherapy in Breast Cancer”.   Investigative Radiology, 50(4):195-204, 2014.
   Journal  PubMed  PDF  (IF:5.460)
8. 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 the Prediction of the Response to Neoadjuvant Chemotherapy in Breast Cancer”.   Translational Oncology, 7(1):14-22, 2014.
   Journal  PubMed  PDF  (IF:2.943)
9. Atuegwu NC, Li X, Arlinghaus LR, Abramson RG, Williams JM, Chakravarthy AB, Abramson V, Yankeelov TE. “Longitudinal, Intermodality Registration of Quantitative Breast PET and MRI Data Acquired Before and During Neoadjuvant Chemotherapy: Preliminary Results”.   Medical Physics, 41(5):052302, 2014.
   Journal  PubMed  PDF  (IF:3.012)
10. Huang W, Li X, Chen Y, Li X, Chang M, Oborski MJ, Malyarenko DI, Muzi M, Jajamovich GH, Fedorov A, Tudorica A, Gupta SN, Laymon CM, Marro KI, Dyvorne HA, Miller JV, Chenevert TL, Yankeelov TE, Mountz JM, Kinahan PE, Kikinis R, Taouli B, Fennessy F, Kalpathy-Cramer J. “Variations of Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Evaluation of Breast Cancer Therapy Response: A Multicenter Data Analysis Challenge”.   Translational Oncology, 7(1):153-166, 2014.
    Journal  PubMed  PDF  (IF:2.943)
11. Chenevert TL, Malyarenko DI, Newitt D, Li X, Jayatilake M, Tudorica A, Fedorov A, Kikinis R, Liu TT, Muzi M, Oborski MJ, Laymon CM, Li X, Yankeelov T, Kalpathy-Cramer J, Mountz JM, Kinahan PE, Rubin DL, Fennessy F, Huang W, Hylton N, Ross BD. “Errors in Quantitative Image Analysis Due to Platform-Dependent Image Scaling”.   Translational Oncology, 7(1):65-71, 2014.
    Journal  PubMed  PDF  (IF:2.943)
12. 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(4):321-329, 2014.
    Journal  PubMed  PDF  (IF:2.022)
13. 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. “DCE‐MRI Analysis Methods for Predicting the Response of Breast Cancer to Neoadjuvant Chemotherapy: Pilot Study Findings”.   Magnetic Resonance in Medicine, 71(4):1592-1602, 2014.
    Journal  PubMed  PDF  (IF:3.398)
14. Xu J, Li K, Zu Z, Li X, Gochberg DF, Gore JC. “Quantitative Magnetization Transfer Imaging of Rodent Glioma Using Selective Inversion Recovery”.   NMR in Biomedicine, 27(3), 253-260, 2014.
    Journal  PubMed  PDF  (IF:3.559)
15. Smith DS, Li X, Abramson RG, Quarles CC, Yankeelov TE, Welch EB. “Potential of compressed sensing in quantitative MR imaging of cancer”.   Cancer Imaging, 13(4):633-44, 2013.
    Journal  PubMed  PDF  (IF:1.286)
16. 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(9):1457-1464, 2013.
    Journal  PubMed  PDF  (IF:2.022)
17. Mani S, Chen Y, Li X, Arlinghaus LR, 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(4):688-695, 2013.
    Journal  PubMed  PDF  (IF:3.932)
18. 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, dx.doi.org/10.1155/2013/576470, 2013.
    Journal  PubMed  PDF
19. Gao Y, Choe AS, Stepniewska I, Li X, Avison MJ, Anderson AW. "Validation Of DTI Tractography-based Measures Of Primary Motor Area Connectivity In The Squirrel Monkey Brain".  PLoS ONE, 8(10):e75065, 2013.
    Journal  PubMed  PDF  (IF:3.534)
20. 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, 58:5851-5866, 2013.
    Journal  PubMed  PDF  (IF:2.922)
21. 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(3):256-264, 2013.
    Journal  PubMed  PDF  (IF:2.943)
22. 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”.   European Journal of Nuclear Medicine and Molecular Imaging (EJNMMI) Research, 2012(2:62), 2012.
    Journal  PubMed  PDF
23. 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: Targets and Therapy, 2012(4):139-154, 2012.
    Journal  PubMed  PDF
24. Yankeelov TE, Peterson TE, Abramson RG, 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(9):1342-1356, 2012.
    Journal  PubMed  PDF  (IF:2.022)
25. 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, 68(1):261-271, 2012.
    Journal  PubMed  PDF  (IF:3.398)
26. Smith DS, Li X, Gambrell JV, Arlinghaus LR, Quarles CC, Yankeelov TE, and Welch EB. “Robustness of Quantitative Compressive Sensing MRI: the Effect of Random Acquisitions on Derived Parameters for DCE- and DSC-MRI”.  IEEE Trans. Medical Imaging, 31(2):504-511, 2012.
    Journal  PubMed  PDF  (IF:4.027)
27. Atuegwu NC, Arlinghaus L, Li X, Welch EB, Chakravarthy AB, Gore JC, Yankeelov TE. “Integration of Diffusion Weighted MRI Data and a Simple Mathematical Model of Tumor Growth for Breast Cancer”.  Magnetic Resonance in Medicine, 66(6):1689-1696, 2011.
    Journal  PubMed  PDF  (IF:3.398)
28. Li X, Welch EB, Chakravarthy AB, Xu L, Arlinghaus LR, Farley J, Loveless ME, Mayer I, Kelley M, Meszoely I, Means-powell J, Abramson V, Grau A, Gore JC, Yankeelov TE. “A Novel AIF Detection Method and a Comparison of DCE-MRI Parameters Using Individual and Population Based AIFs in Human Breast Cancer”.  Physics in Medicine and Biology, 56(17):5753-5769, 2011.
    Journal  PubMed  PDF  (IF:2.922)
29. Smith DS, Welch EB, Li X, Arlinghaus LR, Loveless ME, Koyama T, Gore JC, and Yankeelov TE. “Quantitative Effects of Accelerated Dynamic Contrast Enhanced MRI Data Using Compressed Sensing”.   Physics in Medicine and Biology, 56(15):4933-4946, 2011.
    Journal  PubMed  PDF  (IF:2.922)
30. 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(5):630-638, 2011.
    Journal  PubMed  PDF  (IF:2.022)
31. 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(1):16-25, 2011.
    Journal   PubMed   PDF  (IF:3.943)
32. Choe AS, Gao Y, Li X, Compton KB, Stepniewska I, Anderson AW. “Accuracy of Image Registration between MRI and Light Microscopy in the Ex Vivo Brain”.   Magnetic Resonance Imaging, 29(5):683-692, 2011.
    Journal   PubMed   PDF  (IF:2.022)
33. 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”.   Medical Physics, 37(6):2541-2552, 2010.
    Journal   PubMed   PDF  (IF:3.012)
34. 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:(ID919620, 17 pages), doi:10.1155/2010/919620, 2010.
    Journal   PubMed   PDF
35. 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(9):1258-1270, 2009.
    Journal   PubMed   PDF  (IF:2.022)
36. Li X, Yankeelov TE, Rosen GD, Gore JC, and Dawant BM. “Enhancement of Histological Volumes through Averaging and Their Use for the Analysis of Magnetic Resonance Images”.   Magnetic Resonance Imaging, 27(3):401-416, 2009.
    Journal   PubMed   PDF  (IF:2.022)
37. Loveless ME, Li X, Huamani J, Lyshchik A, Dawant B, Hallahan D, Gore JC, and Yankeelov TE. “A Method for Assessing the Microvasculature in a Murine Tumor Model Using Contrast-Enhanced Ultrasonography”.   Journal of Ultrasound in Medicine, 27(12): 1699-1709, 2008.
    Journal   PubMed   PDF  (IF:1.532)
38. Li X, Yankeelov TE, Peterson TE, Gore JC, and Dawant BM. “Automatic Nonrigid Registration of Whole Body CT Mice Images”.   Medical Physics, 35(4):1507-1520, 2008.
    Journal   PubMed   PDF  (IF:3.012)
39. Hao M, Li X, Rizzo MA, Rocheleau JV, Dawant BM and Piston DW. “Regulation of Two Insulin Granule Populations within the Reserve Pool by Distinct Calcium Sources”.   Journal of Cell Science, 118(24):5873-5884, 2005.
    Journal   PubMed   PDF  (IF:5.325)

PEER-REVIEWED CONFERENCE PROCEEDINGS

40. Li X, Asha Singanamalli, Dattesh Shanbhag, Andreas M. Hötker, Omer Aras, Oguz Akin, Roshni Bhagalia “Improved Noninvasive Prostate Cancer Assessment Using Multiparametric Magnetic Resonance Imaging”. IEEE International Symposium on Biomedical Imaging (ISBI), 2016 (accepted).
41. Kang H, Hainline A, Li X, Arlinghaus LR, Abramson VG, Chakravarthy AB, Yankeelov TE. “Multi-modal MRI Parametric Maps Combined with Receptor Information to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 2016 (accepted). (Power Pitch Presentation, 2.7% acception rate)
42. Huang W, Chen Y, Fedorov A, Li X, Jajamovich GH, Malyarenko DI, Aryal MP, LaViolette PS, Oborski MJ, Muzi Mark, Jafari-Khouzani K, Afzal A, Tudorica A, Moloney B, Gupta SN, Abramson RG, Besa C, Kalpathy-Cramer J, Laymon CM, Schmainda K, Cao Y, Chenevert TL, Taouli B, Yankeelov TE, Fennessy F, Li X. “The Impact of Arterial Input Function Determination Variation on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 2016 (accepted).
43. Li X, Arlinghaus LR, Rericha E, Yankeelov TE. “Can Model Weighting Improve the Accuracy of DCE-MRI Parameter Estimation”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 23:1480, 2015. (Power Pitch Presentation, 2.7% acception rate)
44. Li X, Abramson V, Arlinghaus LR, Kang H, Williams J, Abramson RG, Chakravarthy AB, Pendyala P, Yankeelov TE. “Influence of Breast Cancer Receptor Status on Multi-parametric Magnetic Resonance Imaging for Predicting Treatment Response: Preliminary Results”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 23:1474, 2015.
45. Williams JM, Arlinghaus LR, Li X, Abramson R, Abramson V, Chakravarthy AB, Yankeelov TE. “FDG-PET/CT for Predicting Pathologic Response of Locally Advanced Breast Cancer to Neoadjuvant Therapy: Influence of Receptor Subtype”. SNMMI 2015 Annual Meeting, No. 1316, 2015.
46. Weis JA, Miga MI, Arlinghaus LR, Li X, Chakravarthy AB, Abramson VG, Farley J, Yankeelov TE. “Prediction of Response to Neoadjuvant Chemotherapy Using a Mechanically Coupled Reaction-Diffusion Model”. AAPM 2014 Annual Meeting, Medical Physics, 41:509, 2014.
47. Li X, Arlinghaus LR, Abramson RG, Chakravarthy AB, Abramson V, Farley J, Yankeelov TE. “Focusing on Viable Tissue Identified by DCE-MRI Improves the Ability to Predict Response to Neoadjuvant Therapy in Breast Cancer”. Proceedings of RSNA Annual Meeting, No. 14001782, 2014.
48. Gadwood EV, Arlinghaus LR, Kang H, Li X, Dula AN, Yankeelov TE. “On the Statistical Relationships Between Quantitative DCE-, DW-, and APT-CEST-MRI: a Hypothesis Generating Study”. Proceedings of RSNA Annual Meeting, No. 14001589, 2014.
49. Barnes S, Whisenant J, Li X, Yankeelov TE. “Techniques and Applications of Dynamic Contrast Enhanced Magnetic Resonance Imaging in Cancer”. 36th Annual International IEEE EMBS Conference, No. 1331, 2014.
50. Li X, Kang H, Arlinghaus LR, Chakravarthy AB, Abramson RG, Abramson V, Yankeelov TE. “Spatial Heterogeneity Analysis of DCE- and DW-MRI Using the Logistic Ridge Regression to Predict Breast Cancer Response to Neoadjuvant Therapy”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 22:1106, 2014.
51. Li X, Arlinghaus LR, Chakravarthy AB, Abramson RG, Abramson V, Yankeelov TE. “Functional Diffusion Mapping (fDM) for Quantitative DW-MRI to Predict Breast Cancer Response to Neoadjuvant Chemotherapy”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 22:1110, 2014.
52. Williams JM, Rani SD, Li X, Whisenant JG, Kang H, Arlinghaus L, Chakravarthy AB, Abramson V, Abramson R, Yankeelov TE. “Prone versus supine 18F-FDG-PET for assessing the response of locally advanced breast cancer to neoadjuvant chemotherapy”. SNMMI 2014 Annual Meeting, No. 1519, 2014.
53. Gao Y, Choe AS, Li X, Stepniewska I, Anderson AW. “Methods for comparing fiber orientation distribution (FOD) functions based on histology and diffusion MRI”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 22:4408, 2014.
54. Gao Y, Plassard AJ, Choe AS, Stepniewska I, Li X, Landman BA, Anderson AW. “Cortical Parcellation Based on DTI Connectivity--validation in the Squirrel Monkey Brain”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 22:0276, 2014.
55. Xu J, Li K, Zu Z,Li X, Gochberg DF, Gore GC. “Quantitative Magnetization Transfer Imaging of Rodent Glioma Using Selective Inversion Recovery”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 22:0210, 2014.
56. Huang W, Li X, Li X, Chang M, Oborski MJ, Malyarenko DI, Muzi M, Jajamovich GH, Fedorov A, Chen Y, Tudorica A, Gupta SN, Laymon CM, Marro KI, Dyvorne HA, Miller JV, Chenevert TL, Yankeelov TE, Mountz JM, Kinahan PE, Kikinis R, Taouli B, Fennessy F, Kalpathy-Cramer J. “Variations in DCE-MRI Assessment of Breast Cancer Therapy Response: a Multicenter Data Analysis Challenge”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 22:0921, 2014.
57. Gao Y, Khare SP, Panda S, Choe AS, Stepniewskae I, Li X, Ding Z, Anderson A, Landman BA. “A Brain MRI Atlas of the Common Squirrel Monkey, Saimiri Sciureus”. Proceedings of the SPIE Medical Imaging, No. 9038-11, 2014.
58. Li X, Arlinghaus LR, Chakravarthy AB, Abramson RG, Abramson VG, Farley J, Yankeelov TE. “Analyzing Spatial Heterogeneity in DCE-MRI Parametric Maps to Optimize the Prediction of Therapeutic Response in Breast Cancer”. Proceedings of RSNA Annual Meeting, No.13023086, 2013.
59. Li X, Arlinghaus LR, Chakravarthy AB, Abramson RG, Abramson VG, Farley J, Ayers GD, Mayer IA, Kelley MC, Meszoely IM, Means-Powell J, Grau AM, Sanders M, Bhave SR, Yankeelov TE. “Quantitative DCE- and DW-MRI to Predict the Response of Primary Breast Cancer to Neoadjuvant Therapy”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 21:3384, 2013.
60. Gao YR, Choe AS, Li X, Stepniewska I, Anderson AW. “Comparison of In Vivo and Ex Vivo DTI Cortical Connectivity Measurements in the Squirrel Monkey Brain”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 21:3078, 2013.
61. Weis JA, Miga MI, Arlinghaus LR, Li X, Chakravarthy AB, Abramson VG. “A Mechanically Coupled Reaction-Diffusion Model for Predicting the Response of Breast Cancer to Neoadjuvant Chemotherapy”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 21:1730, 2013.
62. Atuegwu NC, Arlinghaus LR, Li X, Chakravarthy AB, Abramson R, Abramson V, Yankeelov TE. “Longitudinal Registration of Quantitative PET and MRI Data Acquired During Neoadjuvant Chemotherapy”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 21:1740, 2013
63. 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”. Medical Imaging, Proceedings of SPIE, 86721G, doi:10.1117/12.2007961, 2013.
64. Weis 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”. Medical Imaging, Proceedings of SPIE, 86721F, doi:10.1117/12.2007425, 2013.
65. Li X, Arlinghaus LR, Abramson RG, Chakravarthy AB, Abramson VG, Mayer I, Farley J, Yankeelov TE. “Towards Optimization of DCE-MRI Analysis for Predicting the Response of Breast Cancer to Neoadjuvant Chemotherapy”. Proceedings of RSNA Annual Meeting, No.12025118, 2012.
66. Li X, Arlinghaus AR, Chakravarthy AB, Abramson RG, Abramson VG, Farley J, Ayers GD, Mayer IA, Kelley MC, Meszoely IM, Means-Power J, Grau AM, Sanders ME, Yankeelov TE. “Quantitative DCE-MRI to Predict the Response of Primary Breast Cancer to Neoadjuvant Therapy”. Cancer Research, 72(24 Suppl):Abstract nr P4-01-03, 2012.
67. Li X, Arlinghaus LR, Chakravarthy AB, Welch EB, Farley J, Mayer IA, Abramson VG, Kelley MC, Meszoely I, Means-Powell J, Grau A, Bhave S, Yankeelov TE. “Voxel-based Analysis of early DCE-MRI Changes May Predict the Response to Neoadjuvant Chemotherapy in Breast Cancer Patients”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 20:1465, 2012.
68. Li X, Arlinghaus LR, Chakravarthy AB, Welch EB, Farley J, Mayer IA, Abramson VG, Abramson RG, Kelley MC, Meszoely I, Means-Powell J, Grau A, Bhave S, Yankeelov TE. “Towards Optimization of DCE-MRI Analysis for Early Prediction of the Response of Breast Cancer Patients to Neoadjuvant Chemotherapy”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 20:1464, 2012.
69. Li X, Mani S, Arlinghaus LR, Chakravarthy AB, Welch EB, Yankeelov TE. “Multivariate Analysis of DCE-MRI for Early Prediction of Breast Tumor Response Using Machine Learning”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 20:1466, 2012.
70. Gao Y, Choe AS, Li X, Stepniewska I, Anderson AW. "Validation of DTI-tractography-based Measures of White Matter Pathways Originating from the Primary Motor Area". Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 20:3610, 2012.
71. Atuegwu NC, Arlinghaus LR, Li X, Welch EB, Chakravarthy AB, Yankeelov TE. “Parameterizing the Logistic Model of Tumor Growth by DW-MRI and DCE-MRI to Predict Breast Tumor Cellularity During Neoadjuvant Chemotherapy”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 20:0041, 2012.
    
72. Abramson RG, Hoyt T, Li X, Arlinghaus LR, Chakravarthy AB, Abramson VG, Su PF, Yankeelov TE. “Early Assessment of Response to Neoadjuvant Chemotherapy in Breast Cancer by Semi-Quantitative Analysis of High-Temporal Resolution DCE-MRI”. 112th Annual Meeting of the American Roentgen Ray Society (ARRS), AJR May 2012 Supplement E010, 2012.
73. 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”. WBIR 2012, Lecture Notes in Computer Science (LNCS), Springer-Verlag, 7359:229-235, 2012.
74. Chakravarthy AB, Bhave S, Li X, Welch EB, Arlinghaus LR, Farley J, Mayer IA, Kelley M, Meszoely I, Yankeelov TE. “Developing Imaging Markers of Response to Neoadjuvant Chemotherapy in Stage II/III Breast Cancer”. Cancer Imaging and Radiation Therapy Symposium, PV1:103, 2011.
75. Mani S, Chen Y, Arlinghaus LR, Li X, Welch EB, Levy MA, Yankeelov TE. “Early Prediction of the Response of Breast Tumors to Neoadjuvant Chemotherapy Using Quantitative MRI and Machine Learning”. American Medical Informatics Association (AMIA) Annual Symposium Proceedings, 2011:868-877, 2011.
76. Li X, Arlinghaus LR, Welch EB, Chakravarthy AB, Xu L, Farley J, Mayer I, Kelley M, Meszoely I, Means-Powell J, Abramson V, Grau A, Levy M, Gore JC, Yankeelov TE. “Early DCE-MRI Changes Predict Residual Enhancing Volume in Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 19:1025, 2011.
77. Li X, Arlinghaus LR, Welch EB, Chakravarthy AB, Xu L, Farley J, Mayer I, Kelley M, Meszoely I, Means-Powell J, Abramson V, Grau A, Levy M, Gore JC, Yankeelov TE. “A Comparison of DCE-MRI Pharmacokinetic Models in Human Breast Cancer”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 19:3116, 2011.
78. Gao Y, Choe AS, Li X, Stepniewska I, Anderson AW. “Validation of DTI-tractography-based Measures of Primary Motor Area Cortical Connectivity”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 19:2022, 2011.
    
79. Smith DS, Li X, Arlinghaus LR, Welch EB, Gore JC, Yankeelov TE. “Improved Temporal Resolution for Human Breast DCE-MRI Data Using Compressed Sensing”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 19:3117, 2011.
80. Fluckiger JU, Li X, Whisenant J, Xu L, Xu J, Peterson TE, Gore JC, Yankeelov TE. “Using DCE-MRI Data to Constrain and Simplify PET Kinetic Modeling”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 19:1071, 2011.
81. Li X, Welch EB, Chakravarthy AB, Mayer I, Kelley M, Meszoely I, Means-powell J, Gore JC, Yankeelov TE. “A Semi-automated Method for Obtaining the Arterial Input Function in Dynamic Breast Data”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 18: 2729, 2010.
82. Li X, Welch EB, Chakravarthy AB, Xu L, Loveless ME, Mayer I, Kelley M, Meszoely I, Means-powell J, Gore JC, Yankeelov TE. “A Comparison between Individual and Population Based Arterial Input functions in the Analysis of DCE-MRI Breast Cancer Data”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 18:2734, 2010.
83. Li X, Choe AS, Gao Y, Stepniewska I, Anderson AW. “Simple and Efficient Image Processing Techniques to Improve the Registration between the MR and Light Microscopy Images”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 18:2343, 2010.
84. Gao Y, Choe AS, Li X, Anderson AW. “Validation of DTI Measures of Primary Motor Area Cortical Connectivity”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 18:117, 2010.
85. Choe AS, Gao Y, Stepniewska I, Li X, Ding Z, Anderson AW. “Challenges of Cortical Connectivity Measurements using MR Tractography”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 18:1665, 2010.
86. Li X, Dawant BM, Welch EB, Chakravarthy AB, Freehardt D, Mayer I, Kelley M, Meszoely I, Gore JC, Yankeelov TE. “Validation of a Nonrigid Registration Algorithm for Longitudinal Breast MR Images”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 17:4121, 2009.
87. Li X, Dawant BM, Hong X, Ding Z, Gore JC, Anderson AW. “Non-rigid Registration of T1 MR Images Constrained with Fractional Anisotropic (FA) Maps”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 17:4695, 2009.
88. 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”. Medical Imaging: Image Processing, Proceedings of SPIE, 7259, doi:10.1117/12.811216, 2009.
89. Loveless ME, Li X, Huamani J, Lyshchik A, Dawant BM, Hallahan D, Gore JC, Yankeelov TE. “Development of High-Resolution Contrast Enhanced Ultrasound Angiography”. American Institute of Ultrasound in Medicine (AIUM) Annual Conference, No. 409740, 2008.
90. Li X, Yankeelov TE, Peterson TE, Gore JC, Dawant BM. “Validation of 3D Non-rigid Whole Body MR Image Registration”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 16:3094, 2008.
91. Li X, Yankeelov TE, Peterson TE, Gore JC, Dawant BM. “Automatic 3D Non-rigid Registration of Whole Body Serial MR Animal Images”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 15:3705, 2007.
92. Yankeelov TE, Li X, Boulos F, Welch EB, Lee RE, Chakravarthy AB, Dawant BM, Gore JC. “Correlating MRI to the Gold Standard of Pathology in Invasive Breast Cancer”. Proc. Intl. Soc. Mag. Reson. Med. (ISMRM), 15:279, 2007.
93. Li X, Yankeelov TE, Peterson TE, Gore JC, Dawant BM. “Constrained Non-rigid Registration for Whole Body Image Registration: Method and Validation”. Medical Imaging: Image Processing, Proceedings of SPIE, 6512:6512021-28, 2007.
94. Loveless ME, Li X, Huamani J, Lyshchik A, Dawant BM, Hallahan D, Gore JC, Yankeelov TE. “Development of High Resolution Contrast Enhanced Ultrasound Angiography”. Memphis Bioimaging Symposium, 2007.
95. Li X, Peterson TE, Gore JC, Dawant BM. “Automatic Inter-Subject Registration of Whole Body Images”. WBIR 2006, Lecture Notes in Computer Science (LNCS), Springer-Verlag, 4057:18-25, 2006.
96. Li X, Peterson TE, Gore JC, Dawant BM. “Automatic Registration of Whole Body Serial Micro CT Images with a Combination of Point-based and Intensity-based Registration Techniques”. IEEE International Symposium on Biomedical Imaging: Nano to Macro, 454-457, 2006.
97. Li X, Yankeelov TE, Rosen G, Gore JC and Dawant BM. “Multi-modal Inter-subject Registration of Mouse Brain Images”. Medical Imaging: Image Processing, Proceedings of SPIE, 6144, doi:10.1117/12.652407, 2006.
98. Li X, Hao M, Piston D, and Dawant BM. “Automatic Tracking of Proteins in Sequences of Fluorescence Images”. Medical Imaging: Image Processing, Proceedings of SPIE, 5370:1364-1371, 2004.

Last updated: 2015.