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PET image harmonization using smoothing-CycleGAN., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the Radon transform., , , , , , и . ISBI, стр. 113-116. IEEE, (2014)A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping., , , , , , , , , и 2 other автор(ы). ISBI, стр. 97-100. IEEE, (2017)3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps., , , , , , и . SASHIMI@MICCAI, том 12417 из Lecture Notes in Computer Science, стр. 11-20. Springer, (2020)Joint Factor and Kinetic Analysis of Dynamic FDOPA PET Scans of Brain Cancer Patients., , , , , , , , , и . MICCAI (2), том 6362 из Lecture Notes in Computer Science, стр. 185-192. Springer, (2010)Computational analysis of PET by AIBL (CapAIBL): a cloud-based processing pipeline for the quantification of PET images., , , , , и . Medical Imaging: Image Processing, том 9413 из SPIE Proceedings, стр. 94132V. SPIE, (2015)Nonrigid correction of interleaving artefacts in pelvic MRI., , , , , , , , , и 2 other автор(ы). Medical Imaging: Image Processing, том 7259 из SPIE Proceedings, стр. 72592P. SPIE, (2009)Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology., , , , , и . DICTA, стр. 1-6. IEEE, (2015)Spline Based Inhomogeneity Correction for 11C-PIB PET Segmentation Using Expectation Maximization., , , , , и . MICCAI (1), том 4791 из Lecture Notes in Computer Science, стр. 228-235. Springer, (2007)An Informatics Platform for the Management of Data for Australian Dementia Network (ADNeT) Initiative., , , , и . MedInfo, том 310 из Studies in Health Technology and Informatics, стр. 1364-1365. IOS Press, (2023)