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Journal of Medical Imaging (Bellingham, Wash.)|November 26, 2019
Segmentation of retinal blood vessels based on feature-oriented dictionary learning and sparse coding using ensemble classification approachNavdeep Singh, Lakhwinder Kaur, Kuldeep Singh
Journal of Medical Imaging (Bellingham, Wash.)|February 18, 2020
Performance of angiographic parametric imaging in locating infarct core in large vessel occlusion acute ischemic stroke patientsRyan A Rava, Maxim Mokin, Kenneth V Snyder, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 18, 2020
Measurement of the useful field of view for single slices of different imaging modalities and targetsMiguel A Lago, Ioannis Sechopoulos, François O Bochud, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 12, 2020
Automatic generation of three-dimensional dose reconstruction data for two-dimensional radiotherapy plans for historically treated patientsZiyuan Wang, Marco Virgolin, Peter A N Bosman, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 14, 2020
Integrating structured abstracts in the Journal of Medical ImagingMaryellen Giger
Journal of Medical Imaging (Bellingham, Wash.)|February 13, 2019
Evaluation of segmentation algorithms for optical coherence tomography images of ovarian tissueTravis W Sawyer, Photini F S Rice, David M Sawyer, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 13, 2019
Prediction of reader estimates of mammographic density using convolutional neural networksGeorgia V Ionescu, Martin Fergie, Michael Berks, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 29, 2020
High throughput image labeling on chest computed tomography by deep learningXiaoyong Wang, Pangyu Teng, Ashley Ontiveros, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 1, 2018
Pulmonary lobe separation in expiration chest CT scans based on subject-specific priors derived from inspiration scansChristian Bauer, Michael Eberlein, Reinhard R Beichel
Journal of Medical Imaging (Bellingham, Wash.)|March 1, 2018
Improved approach to quantitative cardiac volumetrics using automatic thresholding and manual trimming: a cardiovascular MRI studyGeetha Rayarao, Robert W W Biederman, Ronald B Williams, et al.
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