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IEEE Transactions on Medical Imaging|October 5, 2001
Ideal observer approximation using Bayesian classification neural networksM A Kupinski, D C Edwards, M L Giger, et al.AJNR. American Journal of Neuroradiology|September 1, 1994
Magnetization transfer: a potential method to determine the age of multiple sclerosis lesionsM M Tomiak, J D Rosenblum, J M Prager, et al.Radiology|June 1, 1996
Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographsT Kobayashi, X W Xu, H MacMahon, et al.Radiation Oncology Investigations|January 22, 2000
Comparisons of a proposed five-seed assay method with the single-seed and batch assay methods for I-125 seeds in ultrasound-guided prostate implantsP C Lee, S J Starr, K Zuhlke, et al.American Journal of Ophthalmology|February 1, 1978
Visual function in acute posterior multifocal placoid pigment epitheliopathyV C Smith, J Pokorny, J T Ernest, et al.Academic Radiology|July 14, 2001
Components-of-variance models for random-effects ROC analysis: the case of unequal variance structures across modalitiesS V Beiden, R F Wagner, G Campbell, et al.Journal of Digital Imaging|November 1, 1994
Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based schemeY C Wu, K Doi, M L Giger, et al.Radiology|February 1, 1984
Digital image processing: effect on detectability of simulated low-contrast radiographic patternsM Ishida, K Doi, L N Loo, et al.Radiographics : a Review Publication of the Radiological Society of North America, Inc|January 1, 1990
Pulmonary nodules: computer-aided detection in digital chest imagesM L Giger, K Doi, H MacMahon, et al.Academic Radiology|December 29, 2000
Computerized classification of benign and malignant masses on digitized mammograms: a study of robustnessZ Huo, M L Giger, C J Vyborny, et al.Pageof 9