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Journal of Medical Imaging (Bellingham, Wash.)|February 12, 2020
Deep convolutional neural networks in the classification of dual-energy thoracic radiographic views for efficient workflow: analysis on over 6500 clinical radiographsJennie Crosby, Thomas Rhines, Feng Li, et al.Journal of Medical Imaging (Bellingham, Wash.)|December 12, 2019
Anthropomorphic left ventricular mesh phantom: a framework to investigate the accuracy of SQUEEZ using Coherent Point Drift for the detection of regional wall motion abnormalitiesAshish Manohar, Gabrielle M Colvert, Andrew Schluchter, et al.Journal of Medical Imaging (Bellingham, Wash.)|December 8, 2018
Deep neural networks for A-line-based plaque classification in coronary intravascular optical coherence tomography imagesChaitanya Kolluru, David Prabhu, Yazan Gharaibeh, et al.Journal of Medical Imaging (Bellingham, Wash.)|August 15, 2017
Breast dose reduction with organ-based, wide-angle tube current modulated CTWanyi Fu, Gregory M Sturgeon, Greeshma Agasthya, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 13, 2019
Volumetric breast density measurement for personalized screening: accuracy, reproducibility, consistency, and agreement with visual assessmentAndreas Fieselmann, Daniel Förnvik, Hannie Förnvik, et al.Journal of Medical Imaging (Bellingham, Wash.)|January 30, 2018
Quantification of uncertainty in the assessment of coronary plaque in CCTA through a dynamic cardiac phantom and 3D-printed plaque modelTaylor Richards, Gregory M Sturgeon, Juan Carlos Ramirez-Giraldo, et al.Journal of Medical Imaging (Bellingham, Wash.)|January 30, 2018
Virtual assessment of stereoscopic viewing of digital breast tomosynthesis projection imagesGezheng Wen, Ho-Chang Chang, Jacob Reinhold, et al.Journal of Medical Imaging (Bellingham, Wash.)|August 26, 2017
Size-based quality-informed framework for quantitative optimization of pediatric CTEhsan Samei, Xiang Li, Donald P FrushJournal of Medical Imaging (Bellingham, Wash.)|August 26, 2017
Assessment of organ and effective dose when using region-of-interest attenuators in cone-beam CT and interventional fluoroscopyZhenyu Xiong, Sarath Vijayan, Stephen Rudin, et al.Journal of Medical Imaging (Bellingham, Wash.)|January 18, 2018
Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcomeChristos Davatzikos, Saima Rathore, Spyridon Bakas, et al.Pageof 152