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Performance of MAP Reconstruction for Hot Lesion Detection in Whole-Body PET/CT: An Evaluation With Human and Numerical Observers.

, , , , , , , , , and . IEEE Trans. Medical Imaging, 28 (1): 67-73 (2009)

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Quantitative comparison of automated PET volume delineation methodologies using simulated tumor lesions., , , , , , and . ISBI, page 653-656. IEEE, (2011)The more you look, the more you find: challenging results on FDG-PET CT in a patient with neurofibromatosis type I., , , , , , , and . BMC Medical Imaging, (2014)Performance of MAP Reconstruction for Hot Lesion Detection in Whole-Body PET/CT: An Evaluation With Human and Numerical Observers., , , , , , , , , and . IEEE Trans. Medical Imaging, 28 (1): 67-73 (2009)SLAC: Statistical total lesion metabolic activity computation by fuzzy unsupervised learning of PET images., , , , , , , and . Mach. Vis. Appl., 24 (7): 1341-1358 (2013)Fuzzy Multi-class Statistical Modeling for Efficient Total Lesion Metabolic Activity Estimation from Realistic PET Images., , , , , , , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 107-114. Springer, (2012)A textural feature based tumor therapy response prediction model for longitudinal evaluation with PET imaging., , , , , , , and . ISBI, page 1048-1051. IEEE, (2012)Evaluation of Three MRI-Based Anatomical Priors for Quantitative PET Brain Imaging., , , , , , and . IEEE Trans. Medical Imaging, 31 (3): 599-612 (2012)Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images., , , , , , and . MLMI, volume 7009 of Lecture Notes in Computer Science, page 233-240. Springer, (2011)