 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Samuel G. Armato and Hania A. Al-Hallaq.
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Connection Strength |
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1.336 |
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Foy JJ, Armato SG, Al-Hallaq HA. Effects of variability in radiomics software packages on classifying patients with radiation pneumonitis. J Med Imaging (Bellingham). 2020 Jan; 7(1):014504.
Score: 0.219
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Foy JJ, Robinson KR, Li H, Giger ML, Al-Hallaq H, Armato SG. Variation in algorithm implementation across radiomics software. J Med Imaging (Bellingham). 2018 Oct; 5(4):044505.
Score: 0.201
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Anthony GJ, Cunliffe A, Castillo R, Pham N, Guerrero T, Armato SG, Al-Hallaq HA. Incorporation of pre-therapy 18 F-FDG uptake data with CT texture features into a radiomics model for radiation pneumonitis diagnosis. Med Phys. 2017 Jul; 44(7):3686-3694.
Score: 0.181
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Cunliffe AR, White B, Justusson J, Straus C, Malik R, Al-Hallaq HA, Armato SG. Comparison of Two Deformable Registration Algorithms in the Presence of Radiologic Change Between Serial Lung CT Scans. J Digit Imaging. 2015 Dec; 28(6):755-60.
Score: 0.163
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Cunliffe A, Armato SG, Castillo R, Pham N, Guerrero T, Al-Hallaq HA. Lung texture in serial thoracic computed tomography scans: correlation of radiomics-based features with radiation therapy dose and radiation pneumonitis development. Int J Radiat Oncol Biol Phys. 2015 Apr 01; 91(5):1048-56.
Score: 0.154
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Cunliffe AR, Armato SG, Straus C, Malik R, Al-Hallaq HA. Lung texture in serial thoracic CT scans: correlation with radiologist-defined severity of acute changes following radiation therapy. Phys Med Biol. 2014 Sep 21; 59(18):5387-98.
Score: 0.150
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Cunliffe AR, Armato SG, Fei XM, Tuohy RE, Al-Hallaq HA. Lung texture in serial thoracic CT scans: registration-based methods to compare anatomically matched regions. Med Phys. 2013 Jun; 40(6):061906.
Score: 0.137
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Cunliffe AR, Al-Hallaq HA, Labby ZE, Pelizzari CA, Straus C, Sensakovic WF, Ludwig M, Armato SG. Lung texture in serial thoracic CT scans: assessment of change introduced by image registration. Med Phys. 2012 Aug; 39(8):4679-90.
Score: 0.130
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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.
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