Co-Authors
This is a "connection" page, showing publications co-authored by Maryellen Giger and Ingrid Reiser.
Connection Strength
0.463
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Automated detection of mass lesions in dedicated breast CT: a preliminary study. Med Phys. 2012 Feb; 39(2):866-73.
Score: 0.090
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Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM. J Imaging Inform Med. 2026 Aug; 39(4):3592-3600.
Score: 0.062
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Computerized mass detection for digital breast tomosynthesis directly from the projection images. Med Phys. 2006 Feb; 33(2):482-91.
Score: 0.060
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Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM. Radiol Artif Intell. 2025 Nov; 7(6):e250137.
Score: 0.059
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Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM. Med Phys. 2025 Oct; 52(10):e17779.
Score: 0.058
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Computerized detection of mass lesions in digital breast tomosynthesis images using two- and three dimensional radial gradient index segmentation. Technol Cancer Res Treat. 2004 Oct; 3(5):437-41.
Score: 0.054
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Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography. J Med Imaging (Bellingham). 2014 Oct; 1(3):031012.
Score: 0.028
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Segmentation of breast masses on dedicated breast computed tomography and three-dimensional breast ultrasound images. J Med Imaging (Bellingham). 2014 Apr; 1(1):014501.
Score: 0.026
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Level set segmentation of breast masses in contrast-enhanced dedicated breast CT and evaluation of stopping criteria. J Digit Imaging. 2014 Apr; 27(2):237-47.
Score: 0.026