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Hiroyuki Abe to Retrospective Studies

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This is a "connection" page, showing publications Hiroyuki Abe has written about Retrospective Studies.
Hiroyuki Abe
Connection Strength
0.601
Retrospective Studies
  1. 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: 0.063
  2. 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: 0.055
  3. Importance of a personal history of breast cancer as a risk factor for the development of subsequent breast cancer: results from screening breast MRI. AJR Am J Roentgenol. 2014 Feb; 202(2):289-92.
    View in: PubMed
    Score: 0.046
  4. Decision making for breast lesions initially detected at contrast-enhanced breast MRI. AJR Am J Roentgenol. 2013 Dec; 201(6):1376-85.
    View in: PubMed
    Score: 0.046
  5. Breast cancer detected on an incident (second or subsequent) round of screening MRI: MRI features of false-negative cases. AJR Am J Roentgenol. 2013 Nov; 201(5):1155-63.
    View in: PubMed
    Score: 0.045
  6. Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int J Comput Assist Radiol Surg. 2013 Nov; 8(6):895-903.
    View in: PubMed
    Score: 0.044
  7. MR-directed ("Second-Look") ultrasound examination for breast lesions detected initially on MRI: MR and sonographic findings. AJR Am J Roentgenol. 2010 Feb; 194(2):370-7.
    View in: PubMed
    Score: 0.035
  8. Axillary lymph nodes suspicious for breast cancer metastasis: sampling with US-guided 14-gauge core-needle biopsy--clinical experience in 100 patients. Radiology. 2009 Jan; 250(1):41-9.
    View in: PubMed
    Score: 0.032
  9. Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI. Med Phys. 2024 Mar; 51(3):1812-1821.
    View in: PubMed
    Score: 0.022
  10. Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform. Breast Cancer Res Treat. 2022 Nov; 196(1):57-66.
    View in: PubMed
    Score: 0.021
  11. Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant Therapy. Acad Radiol. 2022 10; 29(10):1469-1479.
    View in: PubMed
    Score: 0.020
  12. Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment Response. Radiology. 2021 11; 301(2):295-308.
    View in: PubMed
    Score: 0.020
  13. Discriminating low-grade ductal carcinoma in situ (DCIS) from non-low-grade DCIS or DCIS upgraded to invasive carcinoma: effective texture features on ultrafast dynamic contrast-enhanced magnetic resonance imaging. Breast Cancer. 2021 Sep; 28(5):1141-1153.
    View in: PubMed
    Score: 0.019
  14. 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: 0.016
  15. Diagnostic value of electric properties tomography (EPT) for differentiating benign from malignant breast lesions: comparison with standard dynamic contrast-enhanced MRI. Eur Radiol. 2019 Apr; 29(4):1778-1786.
    View in: PubMed
    Score: 0.016
  16. Lymph node wire localization post-chemotherapy: Towards improving the false negative sentinel lymph node biopsy rate in breast cancer patients. Clin Imaging. 2018 Mar - Apr; 48:69-73.
    View in: PubMed
    Score: 0.015
  17. Evaluation of Kinetic Entropy of Breast Masses Initially Found on MRI using Whole-lesion Curve Distribution Data: Comparison with the Standard Kinetic Analysis. Eur Radiol. 2015 Aug; 25(8):2470-8.
    View in: PubMed
    Score: 0.012
  18. Intratumoral heterogeneity of the distribution of kinetic parameters in breast cancer: comparison based on the molecular subtypes of invasive breast cancer. Breast Cancer. 2015 Sep; 22(5):496-502.
    View in: PubMed
    Score: 0.012
  19. Observer study of a prototype clinical decision support system for breast cancer diagnosis using dynamic contrast-enhanced MRI. AJR Am J Roentgenol. 2013 Feb; 200(2):277-83.
    View in: PubMed
    Score: 0.011
  20. Evaluation of clinical breast MR imaging performed with prototype computer-aided diagnosis breast MR imaging workstation: reader study. Radiology. 2011 Mar; 258(3):696-704.
    View in: PubMed
    Score: 0.009
  21. Characterizing early contrast uptake of ductal carcinoma in situ with high temporal resolution dynamic contrast-enhanced MRI of the breast: a pilot study. Phys Med Biol. 2010 Oct 07; 55(19):N473-85.
    View in: PubMed
    Score: 0.009
  22. Breast cancers not detected at MRI: review of false-negative lesions. AJR Am J Roentgenol. 2010 Jun; 194(6):1674-9.
    View in: PubMed
    Score: 0.009
  23. Potential usefulness of similar images in the differential diagnosis of clustered microcalcifications on mammograms. Radiology. 2009 Dec; 253(3):625-31.
    View in: PubMed
    Score: 0.009
  24. Pure ductal carcinoma in situ: kinetic and morphologic MR characteristics compared with mammographic appearance and nuclear grade. Radiology. 2007 Dec; 245(3):684-91.
    View in: PubMed
    Score: 0.008
  25. Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Trans Med Imaging. 2006 Apr; 25(4):406-16.
    View in: PubMed
    Score: 0.007
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