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Journal of Medical Imaging (Bellingham, Wash.)|October 25, 2019
Objective assessment of task performance: a comparison of two FFDM detectors using an anthropomorphic breast phantomAndrey Makeev, Lynda C Ikejimba, Jesse Salad, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 12, 2021
Variability in image quality and radiation dose within and across 97 medical facilitiesTaylor B Smith, Shuaiqi Zhang, Alaattin Erkanli, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 9, 2020
Virtual clinical trial for quantifying the effects of beam collimation and pitch on image quality in computed tomographyEhsan Abadi, William P Segars, Brian Harrawood, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 18, 2021
Exploring CNN potential in discriminating benign and malignant calcifications in conventional and dual-energy FFDM: simulations and experimental observationsAndrey Makeev, Gabriela Rodal, Bahaa Ghammraoui, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 24, 2023
Retinal layer and fluid segmentation in optical coherence tomography images using a hierarchical frameworkTânia Melo, Ângela Carneiro, Aurélio Campilho, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 6, 2023
Multislice input for 2D and 3D residual convolutional neural network noise reduction in CTZhongxing Zhou, Nathan R Huber, Akitoshi Inoue, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 6, 2023
Single patch super-resolution of histopathology whole slide images: a comparative studyMehdi Afshari, Saba Yasir, Gary L Keeney, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 23, 2016
Microscopic medical image classification framework via deep learning and shearlet transformHadi Rezaeilouyeh, Ali Mollahosseini, Mohammad H Mahoor
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