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Connection

Maryellen L. Giger to Image Processing, Computer-Assisted

This is a "connection" page, showing publications Maryellen L. Giger has written about Image Processing, Computer-Assisted.
  1. Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images. Am J Pathol. 2021 10; 191(10):1693-1701.
    View in: PubMed
    Score: 0.516
  2. A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets. Med Phys. 2017 Oct; 44(10):5162-5171.
    View in: PubMed
    Score: 0.396
  3. Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage. Cancer. 2016 Mar 01; 122(5):748-57.
    View in: PubMed
    Score: 0.352
  4. Computer-aided diagnosis in radiology. Acad Radiol. 2002 Jan; 9(1):1-3.
    View in: PubMed
    Score: 0.134
  5. Computer-aided diagnosis in medical imaging. IEEE Trans Med Imaging. 2001 Dec; 20(12):1205-8.
    View in: PubMed
    Score: 0.133
  6. Quantifying the effects of biopsy fixation and staining panel design on automatic instance segmentation of immune cells in human lupus nephritis. J Biomed Opt. 2021 01; 26(2).
    View in: PubMed
    Score: 0.125
  7. Computerized analysis of lesions in US images of the breast. Acad Radiol. 1999 Nov; 6(11):665-74.
    View in: PubMed
    Score: 0.115
  8. Deep learning in medical imaging and radiation therapy. Med Phys. 2019 Jan; 46(1):e1-e36.
    View in: PubMed
    Score: 0.108
  9. 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: 0.096
  10. Image processing and computer-aided diagnosis. Radiol Clin North Am. 1996 May; 34(3):565-96.
    View in: PubMed
    Score: 0.091
  11. Computerized detection of pulmonary nodules in computed tomography images. Invest Radiol. 1994 Apr; 29(4):459-65.
    View in: PubMed
    Score: 0.078
  12. Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer. Annu Rev Biomed Eng. 2013; 15:327-57.
    View in: PubMed
    Score: 0.074
  13. Computerized method for evaluating diagnostic image quality of calcified plaque images in cardiac CT: validation on a physical dynamic cardiac phantom. Med Phys. 2010 Nov; 37(11):5777-86.
    View in: PubMed
    Score: 0.062
  14. Computerized detection of pulmonary nodules in digital chest images: use of morphological filters in reducing false-positive detections. Med Phys. 1990 Sep-Oct; 17(5):861-5.
    View in: PubMed
    Score: 0.061
  15. Automated method for improving system performance of computer-aided diagnosis in breast ultrasound. IEEE Trans Med Imaging. 2009 Jan; 28(1):122-8.
    View in: PubMed
    Score: 0.054
  16. Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM. Med Phys. 2008 Dec; 35(12):5799-820.
    View in: PubMed
    Score: 0.054
  17. Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images. Magn Reson Med. 2007 Sep; 58(3):562-71.
    View in: PubMed
    Score: 0.050
  18. Effect of pixel size on detectability of low-contrast signals in digital radiography. J Opt Soc Am A. 1987 May; 4(5):966-75.
    View in: PubMed
    Score: 0.049
  19. Multimodality computerized diagnosis of breast lesions using mammography and sonography. Acad Radiol. 2005 Aug; 12(8):970-9.
    View in: PubMed
    Score: 0.043
  20. Computerized analysis of mammographic parenchymal patterns for assessing breast cancer risk: effect of ROI size and location. Med Phys. 2004 Mar; 31(3):549-55.
    View in: PubMed
    Score: 0.039
  21. Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers. Radiology. 2002 Nov; 225(2):519-26.
    View in: PubMed
    Score: 0.036
  22. 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: 0.030
  23. Effect of dominant features on neural network performance in the classification of mammographic lesions. Phys Med Biol. 1999 Oct; 44(10):2579-95.
    View in: PubMed
    Score: 0.029
  24. Computerized detection of pulmonary nodules on CT scans. Radiographics. 1999 Sep-Oct; 19(5):1303-11.
    View in: PubMed
    Score: 0.029
  25. 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: 0.027
  26. Computerized delineation and analysis of costophrenic angles in digital chest radiographs. Acad Radiol. 1998 May; 5(5):329-35.
    View in: PubMed
    Score: 0.026
  27. Automated lung segmentation in digitized posteroanterior chest radiographs. Acad Radiol. 1998 Apr; 5(4):245-55.
    View in: PubMed
    Score: 0.026
  28. Automated registration of ventilation-perfusion images with digital chest radiographs. Acad Radiol. 1997 Mar; 4(3):183-92.
    View in: PubMed
    Score: 0.024
  29. Computer-aided methods help cancer diagnoses. Diagn Imaging (San Franc). 1996 Nov; Suppl Digital X:D17-20.
    View in: PubMed
    Score: 0.023
  30. Bcl-2 as a Therapeutic Target in Human Tubulointerstitial Inflammation. Arthritis Rheumatol. 2016 11; 68(11):2740-2751.
    View in: PubMed
    Score: 0.023
  31. Advances in tumor imaging. Sci Am. 1996 Sep; 275(3):110-2.
    View in: PubMed
    Score: 0.023
  32. An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms. Acad Radiol. 1996 Aug; 3(8):621-7.
    View in: PubMed
    Score: 0.023
  33. Portable chest radiography techniques and teleradiology. Radiol Clin North Am. 1996 Jan; 34(1):1-20.
    View in: PubMed
    Score: 0.022
  34. Automated segmentation of digitized mammograms. Acad Radiol. 1995 Jan; 2(1):1-9.
    View in: PubMed
    Score: 0.021
  35. Development of a digital duplication system for portable chest radiographs. J Digit Imaging. 1994 Aug; 7(3):146-53.
    View in: PubMed
    Score: 0.020
  36. Computerized detection of masses in digital mammograms: automated alignment of breast images and its effect on bilateral-subtraction technique. Med Phys. 1994 Mar; 21(3):445-52.
    View in: PubMed
    Score: 0.019
  37. Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions. J Magn Reson Imaging. 2014 Jan; 39(1):59-67.
    View in: PubMed
    Score: 0.019
  38. Computer-aided diagnosis in chest radiology. J Thorac Imaging. 1990 Jan; 5(1):67-76.
    View in: PubMed
    Score: 0.015
  39. A novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications. IEEE Trans Med Imaging. 2010 Feb; 29(2):428-41.
    View in: PubMed
    Score: 0.014
  40. Radiographic texture analysis of densitometer-generated calcaneus images differentiates postmenopausal women with and without fractures. Osteoporos Int. 2006 Oct; 17(10):1472-82.
    View in: PubMed
    Score: 0.011
  41. Computerized lesion detection on breast ultrasound. Med Phys. 2002 Jul; 29(7):1438-46.
    View in: PubMed
    Score: 0.009
  42. Computerized diagnosis of breast lesions on ultrasound. Med Phys. 2002 Feb; 29(2):157-64.
    View in: PubMed
    Score: 0.008
  43. Automated detection of lung nodules in CT scans: preliminary results. Med Phys. 2001 Aug; 28(8):1552-61.
    View in: PubMed
    Score: 0.008
  44. Automatic segmentation of breast lesions on ultrasound. Med Phys. 2001 Aug; 28(8):1652-9.
    View in: PubMed
    Score: 0.008
  45. Computer-aided detection and diagnosis of breast cancer. Radiol Clin North Am. 2000 Jul; 38(4):725-40.
    View in: PubMed
    Score: 0.008
  46. Computerized analysis of breast lesions in three dimensions using dynamic magnetic-resonance imaging. Med Phys. 1998 Sep; 25(9):1647-54.
    View in: PubMed
    Score: 0.007
  47. Computer-aided diagnosis: development of automated schemes for quantitative analysis of radiographic images. Semin Ultrasound CT MR. 1992 Apr; 13(2):140-52.
    View in: PubMed
    Score: 0.004
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.