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Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases, unilateral cancer cases, and controlsHui Li, Maryellen L Giger, Li Lan, et al.Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Three-dimensional brain magnetic resonance imaging segmentation via knowledge-driven decision theoryNishant Verma, Gautam S Muralidhar, Alan C Bovik, et al.Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
On the evaluation of segmentation editing toolsFrank Heckel, Jan H Moltz, Hans Meine, et al.Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomyGeert J S Litjens, Henkjan J Huisman, Robin M Elliott, et al.Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Etiology-based classification of brain white matter hyperintensity on magnetic resonance imagingMariana Leite, Letícia Rittner, Simone Appenzeller, et al.Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Structured learning algorithm for detection of nonobstructive and obstructive coronary plaque lesions from computed tomography angiographyDongwoo Kang, Damini Dey, Piotr J Slomka, et al.Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Block selective redaction for minimizing loss during de-identification of burned in text in irreversibly compressed JPEG medical imagesDavid A Clunie, Dan GebowJournal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Automatic segmentation of high- and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiativeErik B Dam, Martin Lillholm, Joselene Marques, et al.Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Quantitative analysis of rib kinematics based on dynamic chest bone images: preliminary resultsRie Tanaka, Shigeru Sanada, Keita Sakuta, et al.Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Reconstruction of four-dimensional computed tomography lung images by applying spatial and temporal anatomical constraints using a Bayesian modelTiancheng He, Zhong Xue, Bin S Teh, et al.Pageof 152