The University of Chicago Header Logo

Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Samuel G. Armato and Maryellen L. Giger.
Connection Strength

2.189
  1. Research imaging in an academic medical center. Acad Radiol. 2012 Jun; 19(6):762-71.
    View in: PubMed
    Score: 0.427
  2. Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors. J Med Imaging (Bellingham). 2023 Nov; 10(6):064504.
    View in: PubMed
    Score: 0.241
  3. Computer-aided diagnosis in medical imaging. IEEE Trans Med Imaging. 2001 Dec; 20(12):1205-8.
    View in: PubMed
    Score: 0.208
  4. Variation in algorithm implementation across radiomics software. J Med Imaging (Bellingham). 2018 Oct; 5(4):044505.
    View in: PubMed
    Score: 0.169
  5. PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images. J Med Imaging (Bellingham). 2018 Oct; 5(4):044501.
    View in: PubMed
    Score: 0.169
  6. Letter to the Editor: Use of Publicly Available Image Resources. Acad Radiol. 2017 07; 24(7):916-917.
    View in: PubMed
    Score: 0.152
  7. LUNGx Challenge for computerized lung nodule classification. J Med Imaging (Bellingham). 2016 Oct; 3(4):044506.
    View in: PubMed
    Score: 0.148
  8. LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned. J Med Imaging (Bellingham). 2015 Apr; 2(2):020103.
    View in: PubMed
    Score: 0.131
  9. Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology. 2002 Dec; 225(3):685-92.
    View in: PubMed
    Score: 0.056
  10. Automated detection of lung nodules in CT scans: preliminary results. Med Phys. 2001 Aug; 28(8):1552-61.
    View in: PubMed
    Score: 0.051
  11. Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. J Digit Imaging. 2021 08; 34(4):922-931.
    View in: PubMed
    Score: 0.051
  12. Automated registration of frontal and lateral radionuclide lung scans with digital chest radiographs. Acad Radiol. 2000 Jul; 7(7):530-9.
    View in: PubMed
    Score: 0.047
  13. Computerized detection of pulmonary nodules on CT scans. Radiographics. 1999 Sep-Oct; 19(5):1303-11.
    View in: PubMed
    Score: 0.045
  14. Computerized analysis of abnormal asymmetry in digital chest radiographs: evaluation of potential utility. J Digit Imaging. 1999 Feb; 12(1):34-42.
    View in: PubMed
    Score: 0.043
  15. Automated lung segmentation in digital lateral chest radiographs. Med Phys. 1998 Aug; 25(8):1507-20.
    View in: PubMed
    Score: 0.041
  16. Computerized delineation and analysis of costophrenic angles in digital chest radiographs. Acad Radiol. 1998 May; 5(5):329-35.
    View in: PubMed
    Score: 0.041
  17. Automated lung segmentation in digitized posteroanterior chest radiographs. Acad Radiol. 1998 Apr; 5(4):245-55.
    View in: PubMed
    Score: 0.040
  18. Automated registration of ventilation-perfusion images with digital chest radiographs. Acad Radiol. 1997 Mar; 4(3):183-92.
    View in: PubMed
    Score: 0.037
  19. Clinical significance of noncalcified lung nodules in patients with breast cancer. Breast Cancer Res Treat. 2016 Sep; 159(2):265-71.
    View in: PubMed
    Score: 0.036
  20. Ethics and professionalism in medical physics: a survey of AAPM members. Med Phys. 2013 Apr; 40(4):047001.
    View in: PubMed
    Score: 0.029
  21. SU-E-E-03: Ethics and Professionalism Education in Medical Physics: A Needs Assessment Study. Med Phys. 2012 Jun; 39(6Part3):3623-3624.
    View in: PubMed
    Score: 0.027
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.