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Co-Authors

This is a "connection" page, showing publications co-authored by Gregory Karczmar and Federico D. Pineda.

 
Connection Strength
 
 
 
5.212
 
  1. Pineda F, Sheth D, Abe H, Medved M, Karczmar GS. Low-dose imaging technique (LITE) MRI: initial experience in breast imaging. Br J Radiol. 2019 Nov; 92(1103):20190302.
    View in: PubMed
    Score: 0.815
  2. Pineda FD, Easley TO, Karczmar GS. Dynamic field-of-view imaging to increase temporal resolution in the early phase of contrast media uptake in breast DCE-MRI: A feasibility study. Med Phys. 2018 Mar; 45(3):1050-1058.
    View in: PubMed
    Score: 0.736
  3. Pineda FD, Medved M, Wang S, Fan X, Schacht DV, Sennett C, Oto A, Newstead GM, Abe H, Karczmar GS. Ultrafast Bilateral DCE-MRI of the Breast with Conventional Fourier Sampling: Preliminary Evaluation of Semi-quantitative Analysis. Acad Radiol. 2016 09; 23(9):1137-44.
    View in: PubMed
    Score: 0.658
  4. Pineda FD, Medved M, Fan X, Karczmar GS. B1 and T1 mapping of the breast with a reference tissue method. Magn Reson Med. 2016 Apr; 75(4):1565-73.
    View in: PubMed
    Score: 0.612
  5. Pineda FD, Medved M, Fan X, Ivancevic MK, Abe H, Shimauchi A, Newstead GM, Karczmar GS. Comparison of dynamic contrast-enhanced MRI parameters of breast lesions at 1.5 and 3.0?T: a pilot study. Br J Radiol. 2015 May; 88(1049):20150021.
    View in: PubMed
    Score: 0.604
  6. 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. Acad Radiol. 2022 Mar 26.
    View in: PubMed
    Score: 0.246
  7. Easley TO, Ren Z, Kim B, Karczmar GS, Barber RF, Pineda FD. Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI. PLoS One. 2021; 16(10):e0258621.
    View in: PubMed
    Score: 0.239
  8. 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: 0.225
  9. He D, Fan X, Chatterjee A, Wang S, Medved M, Pineda FD, Yousuf A, Antic T, Oto A, Karczmar GS. A compact solution for estimation of physiological parameters from ultrafast prostate dynamic contrast enhanced MRI. Phys Med Biol. 2019 08 07; 64(15):155012.
    View in: PubMed
    Score: 0.205
  10. Wang S, Lu Z, Fan X, Medved M, Jiang X, Sammet S, Yousuf A, Pineda F, Oto A, Karczmar GS. Comparison of arterial input functions measured from ultra-fast dynamic contrast enhanced MRI and dynamic contrast enhanced computed tomography in prostate cancer patients. Phys Med Biol. 2018 01 30; 63(3):03NT01.
    View in: PubMed
    Score: 0.184
  11. Abe H, Mori N, Tsuchiya K, Schacht DV, Pineda FD, Jiang Y, Karczmar GS. Kinetic Analysis of Benign and Malignant Breast Lesions With Ultrafast Dynamic Contrast-Enhanced MRI: Comparison With Standard Kinetic Assessment. AJR Am J Roentgenol. 2016 Nov; 207(5):1159-1166.
    View in: PubMed
    Score: 0.167
  12. Wang S, Fan X, Medved M, Pineda FD, Yousuf A, Oto A, Karczmar GS. Arterial input functions (AIFs) measured directly from arteries with low and standard doses of contrast agent, and AIFs derived from reference tissues. Magn Reson Imaging. 2016 Feb; 34(2):197-203.
    View in: PubMed
    Score: 0.158
  13. 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 Trans Biomed Eng. 2022 Apr 19; PP.
    View in: PubMed
    Score: 0.062
  14. 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. Med Image Anal. 2021 10; 73:102186.
    View in: PubMed
    Score: 0.059
  15. 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 Trans Med Imaging. 2020 09; 39(9):2760-2771.
    View in: PubMed
    Score: 0.053
  16. 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. Magn Reson Med. 2019 03; 81(3):2147-2160.
    View in: PubMed
    Score: 0.049
  17. Mori N, Abe H, Mugikura S, Takasawa C, Sato S, Miyashita M, Mori Y, Pineda FD, Karczmar GS, Tamura H, Takahashi S, Takase K. Ultrafast Dynamic Contrast-Enhanced Breast MRI: Kinetic Curve Assessment Using Empirical Mathematical Model Validated with Histological Microvessel Density. Acad Radiol. 2019 07; 26(7):e141-e149.
    View in: PubMed
    Score: 0.048
  18. Mori N, Pineda FD, Tsuchiya K, Mugikura S, Takahashi S, Karczmar GS, Abe H. Fast Temporal Resolution Dynamic Contrast-Enhanced MRI: Histogram Analysis Versus Visual Analysis for Differentiating Benign and Malignant Breast Lesions. AJR Am J Roentgenol. 2018 10; 211(4):933-939.
    View in: PubMed
    Score: 0.048
  19. Chatterjee A, He D, Fan X, Wang S, Szasz T, Yousuf A, Pineda F, Antic T, Mathew M, Karczmar GS, Oto A. Performance of Ultrafast DCE-MRI for Diagnosis of Prostate Cancer. Acad Radiol. 2018 03; 25(3):349-358.
    View in: PubMed
    Score: 0.045
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.