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Journal of Digital Imaging|October 20, 2017
Quantitative Volumetric K-Means Cluster Segmentation of Fibroglandular Tissue and Skin in Breast MRIAnton Niukkanen, Otso Arponen, Aki Nykänen, et al.Journal of Digital Imaging|October 26, 2017
An Efficient Pipeline for Abdomen Segmentation in CT ImagesHasan Koyuncu, Rahime Ceylan, Mesut Sivri, et al.Journal of Digital Imaging|October 11, 2017
Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical ImagesSebastian Echegaray, Shaimaa Bakr, Daniel L Rubin, et al.Journal of Digital Imaging|August 2, 2019
What Can Pinterest Do for Radiology?Lilly Kauffman, Edmund M Weisberg, Elliot K FishmanJournal of Digital Imaging|September 15, 2019
A Multi-million Mammography Image Dataset and Population-Based Screening Cohort for the Training and Evaluation of Deep Neural Networks-the Cohort of Screen-Aged Women (CSAW)Karin Dembrower, Peter Lindholm, Fredrik StrandJournal of Digital Imaging|May 5, 2022
Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT CubesEmilio López-Varela, Plácido L Vidal, Nuria Olivier Pascual, et al.Journal of Digital Imaging|March 7, 2019
Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural NetworksIan Pan, Saurabh Agarwal, Derek MerckJournal of Digital Imaging|March 13, 2019
Deep Learning for Detection of Complete Anterior Cruciate Ligament TearPeter D Chang, Tony T Wong, Michael J RasiejJournal of Digital Imaging|January 23, 2021
Spatiotemporal Free-Form Registration Method Assisted by a Minimum Spanning Tree During Discontinuous TransformationsJang Pyo Bae, Siyeop Yoon, Malinda Vania, et al.Pageof 265