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Connection

Samuel G. Armato to Image Processing, Computer-Assisted

This is a "connection" page, showing publications Samuel G. Armato has written about Image Processing, Computer-Assisted.
  1. The influence of initial outlines on manual segmentation. Med Phys. 2010 May; 37(5):2153-8.
    View in: PubMed
    Score: 0.239
  2. A modified gradient correlation filter for image segmentation: application to airway and bowel. Med Phys. 2009 Feb; 36(2):480-5.
    View in: PubMed
    Score: 0.219
  3. Automated lung segmentation for thoracic CT impact on computer-aided diagnosis. Acad Radiol. 2004 Sep; 11(9):1011-21.
    View in: PubMed
    Score: 0.161
  4. Image annotation for conveying automated lung nodule detection results to radiologists. Acad Radiol. 2003 Sep; 10(9):1000-7.
    View in: PubMed
    Score: 0.151
  5. Computer-aided diagnosis in medical imaging. IEEE Trans Med Imaging. 2001 Dec; 20(12):1205-8.
    View in: PubMed
    Score: 0.133
  6. 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: 0.121
  7. Computerized detection of pulmonary nodules on CT scans. Radiographics. 1999 Sep-Oct; 19(5):1303-11.
    View in: PubMed
    Score: 0.114
  8. 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: 0.110
  9. Computerized delineation and analysis of costophrenic angles in digital chest radiographs. Acad Radiol. 1998 May; 5(5):329-35.
    View in: PubMed
    Score: 0.104
  10. Automated lung segmentation in digitized posteroanterior chest radiographs. Acad Radiol. 1998 Apr; 5(4):245-55.
    View in: PubMed
    Score: 0.103
  11. Automated registration of ventilation-perfusion images with digital chest radiographs. Acad Radiol. 1997 Mar; 4(3):183-92.
    View in: PubMed
    Score: 0.096
  12. Observer variability in mesothelioma tumor thickness measurements: defining minimally measurable lesions. J Thorac Oncol. 2014 Aug; 9(8):1187-94.
    View in: PubMed
    Score: 0.080
  13. Three-dimensional stereoscopic volume rendering of malignant pleural mesothelioma. Int Surg. 2012 Jan-Mar; 97(1):65-70.
    View in: PubMed
    Score: 0.067
  14. Characterization of mesothelioma and tissues present in contrast-enhanced thoracic CT scans. Med Phys. 2011 Feb; 38(2):942-7.
    View in: PubMed
    Score: 0.063
  15. Computerized segmentation and measurement of malignant pleural mesothelioma. Med Phys. 2011 Jan; 38(1):238-44.
    View in: PubMed
    Score: 0.063
  16. Dual energy subtraction and temporal subtraction chest radiography. J Thorac Imaging. 2008 May; 23(2):77-85.
    View in: PubMed
    Score: 0.052
  17. The radiologic measurement of mesothelioma. Hematol Oncol Clin North Am. 2005 Dec; 19(6):1053-66, vi.
    View in: PubMed
    Score: 0.044
  18. Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1). Acad Radiol. 2005 Mar; 12(3):337-46.
    View in: PubMed
    Score: 0.042
  19. Automated detection of lung nodules in CT scans: preliminary results. Med Phys. 2001 Aug; 28(8):1552-61.
    View in: PubMed
    Score: 0.033
  20. The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements. Acad Radiol. 2007 Dec; 14(12):1475-85.
    View in: PubMed
    Score: 0.013
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.