This is a "connection" page, showing publications co-authored by Samuel G. Armato and Hania A. Al-Hallaq.
Interviewing for residency positions while completing a graduate degree: Considerations for graduate students, mentors, and program directors. J Appl Clin Med Phys. 2022 08; 23(8):e13700.
Effects of variability in radiomics software packages on classifying patients with radiation pneumonitis. J Med Imaging (Bellingham). 2020 Jan; 7(1):014504.
Variation in algorithm implementation across radiomics software. J Med Imaging (Bellingham). 2018 Oct; 5(4):044505.
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.
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.
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.
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.
Lung texture in serial thoracic CT scans: registration-based methods to compare anatomically matched regions. Med Phys. 2013 Jun; 40(6):061906.
Lung texture in serial thoracic CT scans: assessment of change introduced by image registration. Med Phys. 2012 Aug; 39(8):4679-90.