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Journal of Medical Imaging (Bellingham, Wash.)|January 18, 2018
Fully automated detection of breast cancer in screening MRI using convolutional neural networksMehmet Ufuk Dalmış, Suzan Vreemann, Thijs Kooi, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 3, 2018
On-the-fly augmented reality for orthopedic surgery using a multimodal fiducialSebastian Andress, Alex Johnson, Mathias Unberath, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 12, 2018
Plan in 2-D, execute in 3-D: an augmented reality solution for cup placement in total hip arthroplastyJavad Fotouhi, Clayton P Alexander, Mathias Unberath, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 16, 2022
Efficient multiscale fully convolutional UNet model for segmentation of 3D lung nodule from CT imageSundaresan A Agnes, Jeevanayagam Anitha
Journal of Medical Imaging (Bellingham, Wash.)|July 19, 2021
Characteristics of expert search behavior in volumetric medical image interpretationLauren H Williams, Ann J Carrigan, Megan Mills, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 19, 2021
What do experts look at and what do experts find when reading mammograms?Jeremy M Wolfe, Chia-Chien Wu, Jonathan Li, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 10, 2022
Least-squares and maximum-likelihood in computed tomographyMurdock G Grewar, Glenn R Myers, Andrew M Kingston
Journal of Medical Imaging (Bellingham, Wash.)|July 5, 2021
Comparison of segmentation software packages for in-hospital 3D print workflowNiek Wijnen, Lars Brouwers, Erik Groot Jebbink, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 28, 2021
Multi-class medical image segmentation using one-vs-rest graph cuts and majority votingYu-Chi Hu, Gikas Mageras, Michael Grossberg
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