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Journal of Medical Imaging (Bellingham, Wash.)|September 24, 2016
Impact of breast structure on lesion detection in breast tomosynthesis, a simulation studyNooshin Kiarashi, Loren W Nolte, Joseph Y Lo, et al.Journal of Medical Imaging (Bellingham, Wash.)|May 12, 2017
Lack of agreement between radiologists: implications for image-based model observersJuhun Lee, Robert M Nishikawa, Ingrid Reiser, et al.Journal of Medical Imaging (Bellingham, Wash.)|May 4, 2018
Automated erythrocyte detection and classification from whole slide imagesDarshana Govind, Brendon Lutnick, John E Tomaszewski, et al.Journal of Medical Imaging (Bellingham, Wash.)|April 18, 2018
Assessing CT acquisition parameters with visual-search model observersZohreh Karbaschi, Howard C GiffordJournal of Medical Imaging (Bellingham, Wash.)|December 20, 2016
Lung nodule malignancy classification using only radiologist-quantified image features as inputs to statistical learning algorithms: probing the Lung Image Database Consortium dataset with two statistical learning methodsMatthew C Hancock, Jerry F MagnanJournal of Medical Imaging (Bellingham, Wash.)|January 3, 2017
Breast density estimation from high spectral and spatial resolution MRIHui Li, William A Weiss, Milica Medved, et al.Journal of Medical Imaging (Bellingham, Wash.)|January 14, 2016
Superficial vessel reconstruction with a multiview camera systemFilipe M M Marreiros, Sandro Rossitti, Per M Karlsson, et al.Journal of Medical Imaging (Bellingham, Wash.)|December 24, 2015
Development of a training phantom for compression breast elastography-comparison of various elastography systems and numerical simulationsKavitha Manickam, Machireddy Ramasubba Reddy, Suresh Seshadri, et al.Journal of Medical Imaging (Bellingham, Wash.)|January 6, 2016
Automated segmentation of the thyroid gland on thoracic CT scans by multiatlas label fusion and random forest classificationDivya Narayanan, Jiamin Liu, Lauren Kim, et al.Journal of Medical Imaging (Bellingham, Wash.)|August 4, 2015
Methodology to study the three-dimensional spatial distribution of prostate cancer and their dependence on clinical parametersKristians Diaz Rojas, Maria L Montero, Jorge Yao, et al.Pageof 152