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Journal of Medical Imaging (Bellingham, Wash.)|May 19, 2023
Visual hindsight bias for abnormal mammograms in radiologistsHayden M Schill, Samantha M Gray, Timothy F BradyJournal of Medical Imaging (Bellingham, Wash.)|February 17, 2015
Analysis of iterative region-of-interest image reconstruction for x-ray computed tomographyEmil Y Sidky, David N Kraemer, Erin G Roth, et al.Journal of Medical Imaging (Bellingham, Wash.)|July 11, 2020
Special Section Guest Editorial: Interventional and Surgical Data Science for Data-Driven Patient OutcomesAmber Simpson, Michael MigaJournal of Medical Imaging (Bellingham, Wash.)|August 4, 2020
Search of low-contrast liver lesions in abdominal CT: the importance of scrolling behaviorAlexandre Ba, Marwa Shams, Sabine Schmidt, et al.Journal of Medical Imaging (Bellingham, Wash.)|August 4, 2020
Machine learning for the prediction of pseudorealistic pediatric abdominal phantoms for radiation dose reconstructionMarco Virgolin, Ziyuan Wang, Tanja Alderliesten, et al.Journal of Medical Imaging (Bellingham, Wash.)|August 5, 2022
High-dynamic-range micro-CT for nondestructive testing of titanium 3D-printed medical componentsSantiago Fabian Cobos, Christopher James Norley, Steven Ingo Pollmann, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 24, 2023
Using deep learning to predict tumor mutational burden from scans of H&E-stained multicenter slides of lung squamous cell carcinomaSalma Dammak, Matthew J Cecchini, Daniel Breadner, et al.Journal of Medical Imaging (Bellingham, Wash.)|May 3, 2021
Improving performance and generalizability in radiogenomics: a pilot study for prediction of IDH1/2 mutation status in gliomas with multicentric dataJoão Santinha, Celso Matos, Mário Figueiredo, et al.Journal of Medical Imaging (Bellingham, Wash.)|May 12, 2021
Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancerNova F Smedley, Denise R Aberle, William HsuJournal of Medical Imaging (Bellingham, Wash.)|June 9, 2020
Three-dimensional Fourier-based reprojection analytic reconstruction from histoprojections for high-resolution time-of-flight positron emission tomography scannersVladimir Y Panin, Samuel MatejPageof 152