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Connection

Hiroyuki Abe to Humans

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

0.585
  1. Ongoing Demand for Radiologists in Preoperative Axillary Lymph Node Assessment. Radiology. 2021 07; 300(1):55-56.
    View in: PubMed
    Score: 0.025
  2. Reply to "Differentiating Benign Lesions From Areas of Malignant Nonmass Enhancement With MRI". AJR Am J Roentgenol. 2021 01; 216(1):W8.
    View in: PubMed
    Score: 0.024
  3. Discrimination of benign from malignant breast lesions in dense breasts with model-based analysis of regions-of-interest using directional diffusion-weighted images. BMC Med Imaging. 2020 06 09; 20(1):61.
    View in: PubMed
    Score: 0.024
  4. Nonmass Enhancement Breast Lesions: Diagnostic Performance of Kinetic Assessment on Ultrafast and Standard Dynamic Contrast-Enhanced MRI in Comparison With Morphologic Evaluation. AJR Am J Roentgenol. 2020 08; 215(2):511-518.
    View in: PubMed
    Score: 0.023
  5. 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: 0.021
  6. Abbreviated MRI and Accelerated MRI for Screening and Diagnosis of Breast Cancer. Top Magn Reson Imaging. 2017 Oct; 26(5):183-189.
    View in: PubMed
    Score: 0.020
  7. Value of breast MRI for patients with a biopsy showing atypical ductal hyperplasia (ADH). J Magn Reson Imaging. 2017 12; 46(6):1738-1747.
    View in: PubMed
    Score: 0.019
  8. 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: 0.018
  9. MRI phenotype of breast cancer: Kinetic assessment for molecular subtypes. J Magn Reson Imaging. 2015 Oct; 42(4):920-4.
    View in: PubMed
    Score: 0.016
  10. Diffusion weighted images of metastatic as compared with nonmetastatic axillary lymph nodes in patients with newly diagnosed breast cancer. J Magn Reson Imaging. 2015 Sep; 42(3):771-8.
    View in: PubMed
    Score: 0.016
  11. 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: 0.015
  12. 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: 0.015
  13. Accuracy of axillary lymph node staging in breast cancer patients: an observer-performance study comparison of MRI and ultrasound. Acad Radiol. 2013 Nov; 20(11):1399-404.
    View in: PubMed
    Score: 0.015
  14. 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: 0.015
  15. 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: 0.014
  16. Utility of preoperative ultrasound for predicting pN2 or higher stage axillary lymph node involvement in patients with newly diagnosed breast cancer. AJR Am J Roentgenol. 2013 Mar; 200(3):696-702.
    View in: PubMed
    Score: 0.014
  17. Comparing post-operative human breast specimen radiograph and MRI in lesion margin and volume assessment. J Appl Clin Med Phys. 2012 Nov 08; 13(6):3802.
    View in: PubMed
    Score: 0.014
  18. 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: 0.011
  19. 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: 0.011
  20. US-guided core needle biopsy of axillary lymph nodes in patients with breast cancer: why and how to do it. Radiographics. 2007 Oct; 27 Suppl 1:S91-9.
    View in: PubMed
    Score: 0.010
  21. Effect of temporal subtraction images on radiologists' detection of lung cancer on CT: results of the observer performance study with use of film computed tomography images. Acad Radiol. 2004 Dec; 11(12):1337-43.
    View in: PubMed
    Score: 0.008
  22. Computer-aided diagnosis in chest radiology. Semin Ultrasound CT MR. 2004 Oct; 25(5):432-7.
    View in: PubMed
    Score: 0.008
  23. Artificial neural networks (ANNs) for differential diagnosis of interstitial lung disease: results of a simulation test with actual clinical cases. Acad Radiol. 2004 Jan; 11(1):29-37.
    View in: PubMed
    Score: 0.008
  24. 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: 0.007
  25. Bilateral asymmetry of quantitative parenchymal kinetics at ultrafast DCE-MRI predict response to neoadjuvant chemotherapy in patients with HER2+ breast cancer. Magn Reson Imaging. 2023 Dec; 104:9-15.
    View in: PubMed
    Score: 0.007
  26. Computer-aided diagnosis in chest radiography: results of large-scale observer tests at the 1996-2001 RSNA scientific assemblies. Radiographics. 2003 Jan-Feb; 23(1):255-65.
    View in: PubMed
    Score: 0.007
  27. Safely reducing unnecessary benign breast biopsies by applying non-mass and DWI directional variance filters to ADC thresholding. BMC Med Imaging. 2022 09 29; 22(1):171.
    View in: PubMed
    Score: 0.007
  28. 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: 0.007
  29. 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: 0.007
  30. Use of an artificial neural network to determine the diagnostic value of specific clinical and radiologic parameters in the diagnosis of interstitial lung disease on chest radiographs. Acad Radiol. 2002 Jan; 9(1):13-7.
    View in: PubMed
    Score: 0.007
  31. 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: 0.006
  32. High-Resolution Full-3D Specimen Imaging for Lumpectomy Margin Assessment in Breast Cancer. Ann Surg Oncol. 2021 Oct; 28(10):5513-5524.
    View in: PubMed
    Score: 0.006
  33. 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: 0.006
  34. Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling. Cancer Imaging. 2019 Jul 15; 19(1):48.
    View in: PubMed
    Score: 0.006
  35. Low-dose imaging technique (LITE) MRI: initial experience in breast imaging. Br J Radiol. 2019 Nov; 92(1103):20190302.
    View in: PubMed
    Score: 0.006
  36. Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial. J Magn Reson Imaging. 2019 06; 49(6):1617-1628.
    View in: PubMed
    Score: 0.005
  37. 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: 0.005
  38. 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: 0.005
  39. Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial. Radiology. 2018 12; 289(3):618-627.
    View in: PubMed
    Score: 0.005
  40. Intensive Surveillance with Biannual Dynamic Contrast-Enhanced Magnetic Resonance Imaging Downstages Breast Cancer in BRCA1 Mutation Carriers. Clin Cancer Res. 2019 03 15; 25(6):1786-1794.
    View in: PubMed
    Score: 0.005
  41. 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: 0.005
  42. Fast bilateral breast coverage with high spectral and spatial resolution (HiSS) MRI at 3T. J Magn Reson Imaging. 2017 11; 46(5):1341-1348.
    View in: PubMed
    Score: 0.005
  43. Gadobutrol-Enhanced Magnetic Resonance Imaging of the Breast in the Preoperative Setting: Results of 2 Prospective International Multicenter Phase III Studies. Invest Radiol. 2016 07; 51(7):454-61.
    View in: PubMed
    Score: 0.004
  44. 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: 0.004
  45. 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: 0.004
  46. 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: 0.004
  47. Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era. Eur J Radiol. 2015 Mar; 84(3):392-397.
    View in: PubMed
    Score: 0.004
  48. 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: 0.004
  49. Cross-sectional relatedness between sentences in breast radiology reports: development of an SVM classifier and evaluation against annotations of five breast radiologists. J Digit Imaging. 2013 Oct; 26(5):977-88.
    View in: PubMed
    Score: 0.004
  50. Axillary staging of breast cancer: what the radiologist should know. Radiographics. 2013 Oct; 33(6):1589-612.
    View in: PubMed
    Score: 0.004
  51. 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: 0.004
  52. A prospective study of the utility of magnetic resonance imaging in determining candidacy for partial breast irradiation. Int J Radiat Oncol Biol Phys. 2013 Mar 01; 85(3):615-22.
    View in: PubMed
    Score: 0.003
  53. Non-contrast enhanced MRI for evaluation of breast lesions: comparison of non-contrast enhanced high spectral and spatial resolution (HiSS) images versus contrast enhanced fat-suppressed images. Acad Radiol. 2011 Dec; 18(12):1467-74.
    View in: PubMed
    Score: 0.003
  54. Evaluation of objective similarity measures for selecting similar images of mammographic lesions. J Digit Imaging. 2011 Feb; 24(1):75-85.
    View in: PubMed
    Score: 0.003
  55. 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: 0.003
  56. 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: 0.003
  57. 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: 0.003
  58. Multi-modality morphological correlation of axillary lymph nodes. Int J Comput Assist Radiol Surg. 2010 Jul; 5(4):343-50.
    View in: PubMed
    Score: 0.003
  59. 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: 0.003
  60. Clinical implementation of a multislice high spectral and spatial resolution-based MRI sequence to achieve unilateral full-breast coverage. Magn Reson Imaging. 2010 Jan; 28(1):16-21.
    View in: PubMed
    Score: 0.003
  61. Observer study for evaluating potential utility of a super-high-resolution LCD in the detection of clustered microcalcifications on digital mammograms. J Digit Imaging. 2010 Apr; 23(2):161-9.
    View in: PubMed
    Score: 0.003
  62. DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement? Med Phys. 2008 Jul; 35(7):3102-9.
    View in: PubMed
    Score: 0.003
  63. Differentiation between benign and malignant breast lesions detected by bilateral dynamic contrast-enhanced MRI: a sensitivity and specificity study. Magn Reson Med. 2008 Apr; 59(4):747-54.
    View in: PubMed
    Score: 0.003
  64. 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: 0.002
  65. Fat suppression with spectrally selective inversion vs. high spectral and spatial resolution MRI of breast lesions: qualitative and quantitative comparisons. J Magn Reson Imaging. 2006 Dec; 24(6):1311-5.
    View in: PubMed
    Score: 0.002
  66. Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI. Magn Reson Imaging. 2007 Jun; 25(5):593-603.
    View in: PubMed
    Score: 0.002
  67. Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performance. Acad Radiol. 2006 Aug; 13(8):995-1003.
    View in: PubMed
    Score: 0.002
  68. 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: 0.002
  69. High spectral and spatial resolution MRI of breast lesions: preliminary clinical experience. AJR Am J Roentgenol. 2006 Jan; 186(1):30-7.
    View in: PubMed
    Score: 0.002
  70. Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology. 2005 Nov; 237(2):684-90.
    View in: PubMed
    Score: 0.002
  71. Computer-aided diagnosis in thoracic CT. Semin Ultrasound CT MR. 2005 Oct; 26(5):357-63.
    View in: PubMed
    Score: 0.002
  72. False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network. Acad Radiol. 2005 Feb; 12(2):191-201.
    View in: PubMed
    Score: 0.002
  73. Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy. AJR Am J Roentgenol. 2004 Nov; 183(5):1209-15.
    View in: PubMed
    Score: 0.002
  74. Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings. Radiology. 2004 Dec; 233(3):793-8.
    View in: PubMed
    Score: 0.002
  75. Automated computerized scheme for detection of unruptured intracranial aneurysms in three-dimensional magnetic resonance angiography. Acad Radiol. 2004 Oct; 11(10):1093-104.
    View in: PubMed
    Score: 0.002
  76. Effect of high sensitivity in a computerized scheme for detecting extremely subtle solitary pulmonary nodules in chest radiographs: observer performance study. Acad Radiol. 2003 Nov; 10(11):1302-11.
    View in: PubMed
    Score: 0.002
  77. Low-dose computed tomography screening for lung cancer in a general population: characteristics of cancer in non-smokers versus smokers. Acad Radiol. 2003 Sep; 10(9):1013-20.
    View in: PubMed
    Score: 0.002
  78. Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography. Med Phys. 2003 Sep; 30(9):2440-54.
    View in: PubMed
    Score: 0.002
  79. Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience. Radiology. 2003 May; 227(2):469-74.
    View in: PubMed
    Score: 0.002
  80. Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findings. Radiology. 2002 Dec; 225(3):673-83.
    View in: PubMed
    Score: 0.002
  81. [Development of an image processing scheme for chest radiographs using a dot printer]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002 Sep; 58(9):1268-77.
    View in: PubMed
    Score: 0.002
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.