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Journal of Medical Imaging (Bellingham, Wash.)|February 5, 2019
Impact of prevalence and case distribution in lab-based diagnostic imaging studiesBrandon D Gallas, Weijie Chen, Elodia Cole, et al.Journal of Medical Imaging (Bellingham, Wash.)|November 26, 2019
Stochastic tissue window normalization of deep learning on computed tomographyYuankai Huo, Yucheng Tang, Yunqiang Chen, et al.Journal of Medical Imaging (Bellingham, Wash.)|November 26, 2019
Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learningKenny H Cha, Nicholas Petrick, Aria Pezeshk, et al.Journal of Medical Imaging (Bellingham, Wash.)|December 12, 2019
Using deep learning for a diffusion-based segmentation of the dentate nucleus and its benefits over atlas-based methodsCamilo Bermudez Noguera, Shunxing Bao, Kalen J Petersen, et al.Journal of Medical Imaging (Bellingham, Wash.)|December 12, 2019
Translation of adapting quantitative CT data from research to local clinical practice: validation evaluation of fully automated procedures to provide lung volumes and percent emphysemaKrystle M Leung, Douglas Curran-Everett, Elizabeth A Regan, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 18, 2020
Integrating AI into radiology workflow: levels of research, production, and feedback maturityEngin Dikici, Matthew Bigelow, Luciano M Prevedello, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 12, 2020
Interpretation time for screening mammography as a function of the number of computer-aided detection marksTayler M Schwartz, Stephen L Hillis, Radhika Sridharan, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 12, 2020
Deep learning can be used to train naïve, nonprofessional observers to detect diagnostic visual patterns of certain cancers in mammograms: a proof-of-principle studyJay HegdéJournal of Medical Imaging (Bellingham, Wash.)|February 5, 2020
Nanoscale x-ray holotomography of human brain tissue with phase retrieval based on multienergy recordingsAnna-Lena Robisch, Marina Eckermann, Mareike Töpperwien, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 5, 2020
Influence of background lung characteristics on nodule detection with computed tomographyBoning Li, Taylor B Smith, Kingshuk R Choudhury, et al.Pageof 152