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Connection

Hiroyuki Abe to Retrospective Studies

This is a "connection" page, showing publications Hiroyuki Abe has written about Retrospective Studies.
Connection Strength

0.560
  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: 0.059
  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: 0.051
  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: 0.043
  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: 0.043
  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: 0.042
  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: 0.041
  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: 0.033
  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: 0.030
  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: 0.021
  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: 0.020
  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: 0.019
  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: 0.018
  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: 0.018
  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: 0.015
  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: 0.015
  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: 0.014
  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: 0.011
  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: 0.010
  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: 0.008
  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: 0.008
  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: 0.007
  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: 0.006
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.