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AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size.

, , , , , , , , , and . NeuroImage, (2020)

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Motion Tracking in Narrow Spaces: A Structured Light Approach., , , , and . MICCAI (3), volume 6363 of Lecture Notes in Computer Science, page 253-260. Springer, (2010)A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients., , , , , , , , , and 18 other author(s). NeuroImage, (2017)Differences in Radiotherapy Delivery and Outcome Due to Contouring Variation., , , , and . CLIP, volume 7761 of Lecture Notes in Computer Science, page 122-129. Springer, (2012)Motion Tracking for Medical Imaging: A Nonvisible Structured Light Tracking Approach., , , , and . IEEE Trans. Medical Imaging, 31 (1): 79-87 (2012)List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject., , , , , , , , and . IEEE Trans. Medical Imaging, 32 (2): 200-209 (2013)Deep learning based low-activity PET reconstruction of 11CPiB and 18FFE-PE2I in neurodegenerative disorders., , , , , , , , and . NeuroImage, (2022)AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size., , , , , , , , , and . NeuroImage, (2020)Combined PET/MR imaging in neurology: MR-based attenuation correction implies a strong spatial bias when ignoring bone., , , , , , , , and . NeuroImage, (2014)Real Time Surface Registration for PET Motion Tracking., , , , , and . SCIA, volume 6688 of Lecture Notes in Computer Science, page 166-175. Springer, (2011)Structured light 3D tracking system for measuring motions in PET brain imaging., , , , , and . Medical Imaging: Image-Guided Procedures, volume 7625 of SPIE Proceedings, page 76250X. SPIE, (2010)