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Co-Authors

This is a "connection" page, showing publications co-authored by Devkumar Mustafi and Xiaobing Fan.

 
Connection Strength
 
 
 
2.114
 
  1. Mustafi D, Valek R, Fitch M, Werner V, Fan X, Markiewicz E, Fernandez S, Zamora M, Mueller J, Olopade OI, Conzen SD, Brady MJ, Karczmar GS. Magnetic resonance angiography reveals increased arterial blood supply and tumorigenesis following high fat feeding in a mouse model of triple-negative breast cancer. NMR Biomed. 2020 10; 33(10):e4363.
    View in: PubMed
    Score: 0.228
  2. Mustafi D, Leinroth A, Fan X, Markiewicz E, Zamora M, Mueller J, Conzen SD, Karczmar GS. Magnetic Resonance Angiography Shows Increased Arterial Blood Supply Associated with Murine Mammary Cancer. Int J Biomed Imaging. 2019; 2019:5987425.
    View in: PubMed
    Score: 0.205
  3. Mustafi D, Fernandez S, Markiewicz E, Fan X, Zamora M, Mueller J, Brady MJ, Conzen SD, Karczmar GS. MRI reveals increased tumorigenesis following high fat feeding in a mouse model of triple-negative breast cancer. NMR Biomed. 2017 Oct; 30(10).
    View in: PubMed
    Score: 0.184
  4. Mustafi D, Fan X, Peng B, Foxley S, Palgen J, Newstead GM. Using MRI to detect and differentiate calcium oxalate and calcium hydroxyapatite crystals in air-bubble-free phantom. Phys Med. 2015 Dec; 31(8):1075-1079.
    View in: PubMed
    Score: 0.163
  5. Fan X, Macleod K, Mustafi D, Conzen SD, Markiewicz E, Zamora M, Vosicky J, Mueller J, Karczmar GS. Correlation of In Vivo and Ex Vivo ADC and T2 of In Situ and Invasive Murine Mammary Cancers. PLoS One. 2015; 10(7):e0129212.
    View in: PubMed
    Score: 0.161
  6. Mustafi D, Zamora M, Fan X, Markiewicz E, Mueller J, Conzen SD, Karczmar GS. MRI accurately identifies early murine mammary cancers and reliably differentiates between in situ and invasive cancer: correlation of MRI with histology. NMR Biomed. 2015 Sep; 28(9):1078-86.
    View in: PubMed
    Score: 0.160
  7. Fan X, Mustafi D, Markiewicz E, Zamora M, Vosicky J, Leinroth A, Mueller J, Macleod K, Conzen SD, Karczmar GS. Mammary cancer initiation and progression studied with magnetic resonance imaging. Breast Cancer Res. 2014 Dec 16; 16(6):495.
    View in: PubMed
    Score: 0.154
  8. Mustafi D, Shiou SR, Fan X, Markiewicz E, Karczmar GS, Claud EC. MRI of neonatal necrotizing enterocolitis in a rodent model. NMR Biomed. 2014 Mar; 27(3):272-9.
    View in: PubMed
    Score: 0.144
  9. Fan X, Haney CR, Mustafi D, Yang C, Zamora M, Markiewicz EJ, Karczmar GS. Use of a reference tissue and blood vessel to measure the arterial input function in DCEMRI. Magn Reson Med. 2010 Dec; 64(6):1821-6.
    View in: PubMed
    Score: 0.117
  10. Mustafi D, Fan X, Dougherty U, Bissonnette M, Karczmar GS, Oto A, Hart J, Markiewicz E, Zamora M. High-resolution magnetic resonance colonography and dynamic contrast-enhanced magnetic resonance imaging in a murine model of colitis. Magn Reson Med. 2010 Apr; 63(4):922-9.
    View in: PubMed
    Score: 0.111
  11. Fan X, Mustafi D, Zamora M, River JN, Foxley S, Karczmar GS. Can DCEMRI assess the effect of green tea on the angiogenic properties of rodent prostate tumors? Phys Med. 2010 Apr; 26(2):111-6.
    View in: PubMed
    Score: 0.106
  12. Zhou X, Fan X, Mustafi D, Pineda F, Markiewicz E, Zamora M, Sheth D, Olopade OI, Oto A, Karczmar GS. Comparison of DCE-MRI of murine model cancers with a low dose and high dose of contrast agent. Phys Med. 2021 Jan; 81:31-39.
    View in: PubMed
    Score: 0.059
  13. Chatterjee A, Gallan AJ, He D, Fan X, Mustafi D, Yousuf A, Antic T, Karczmar GS, Oto A. Revisiting quantitative multi-parametric MRI of benign prostatic hyperplasia and its differentiation from transition zone cancer. Abdom Radiol (NY). 2019 06; 44(6):2233-2243.
    View in: PubMed
    Score: 0.053
  14. He D, Mustafi D, Fan X, Fernandez S, Markiewicz E, Zamora M, Mueller J, Sachleben JR, Brady MJ, Conzen SD, Karczmar GS. Magnetic resonance spectroscopy detects differential lipid composition in mammary glands on low fat, high animal fat versus high fructose diets. PLoS One. 2018; 13(1):e0190929.
    View in: PubMed
    Score: 0.048
  15. Markiewicz E, Fan X, Mustafi D, Zamora M, Conzen SD, Karczmar GS. MRI ductography of contrast agent distribution and leakage in normal mouse mammary ducts and ducts with in situ cancer. Magn Reson Imaging. 2017 07; 40:48-52.
    View in: PubMed
    Score: 0.045
  16. Markiewicz E, Fan X, Mustafi D, Zamora M, Roman BB, Jansen SA, Macleod K, Conzen SD, Karczmar GS. High resolution 3D MRI of mouse mammary glands with intra-ductal injection of contrast media. Magn Reson Imaging. 2015 Jan; 33(1):161-5.
    View in: PubMed
    Score: 0.038
  17. Haney CR, Fan X, Markiewicz E, Mustafi D, Karczmar GS, Stadler WM. Monitoring anti-angiogenic therapy in colorectal cancer murine model using dynamic contrast-enhanced MRI: comparing pixel-by-pixel with region of interest analysis. Technol Cancer Res Treat. 2013 Feb; 12(1):71-8.
    View in: PubMed
    Score: 0.033
  18. Haney CR, Pelizzari CA, Foxley S, Zamora MA, Mustafi D, Tretiakova M, Li S, Fan X, Karczmar GS. HiSStology: high spectral and spatial resolution magnetic resonance imaging detection of vasculature validated by histology and micro-computed tomography. Mol Imaging. 2011 Jun; 10(3):187-96.
    View in: PubMed
    Score: 0.030
  19. Oto A, Fan X, Mustafi D, Jansen SA, Karczmar GS, Rubin DT, Kayhan A. Quantitative analysis of dynamic contrast enhanced MRI for assessment of bowel inflammation in Crohn's disease pilot study. Acad Radiol. 2009 Oct; 16(10):1223-30.
    View in: PubMed
    Score: 0.026
  20. Foxley S, Fan X, Mustafi D, Haney C, Zamora M, Markiewicz E, Medved M, Wood AM, Karczmar GS. Sensitivity to tumor microvasculature without contrast agents in high spectral and spatial resolution MR images. Magn Reson Med. 2009 Feb; 61(2):291-8.
    View in: PubMed
    Score: 0.026
  21. Foxley S, Fan X, Mustafi D, Yang C, Zamora MA, Medved M, Karczmar GS. Quantitative analysis of water proton spectral lineshape: a novel source of contrast in MRI. Phys Med Biol. 2008 Sep 07; 53(17):4509-22.
    View in: PubMed
    Score: 0.025
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.