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Nuclear Medicine Communications|October 16, 2009
A virtual sinogram method to reduce dental metallic implant artefacts in computed tomography-based attenuation correction for PETMehrsima Abdoli, Mohammad Reza Ay, Alireza Ahmadian, et al.International Journal of Biomedical Imaging|October 12, 2010
Artificial Neural Network-Based System for PET Volume SegmentationMhd Saeed Sharif, Maysam Abbod, Abbes Amira, et al.Insights Into Imaging|August 24, 2023
An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR imagesAndrew S Boehringer, Amirhossein Sanaat, Hossein Arabi, et al.Magnetic Resonance Imaging Clinics of North America|September 23, 2023
PET/MR Imaging in Head and Neck CancerMinerva Becker, Claudio de Vito, Nicolas Dulguerov, et al.Medical Physics|August 5, 2016
Generic and robust method for automatic segmentation of PET images using an active contour modelMingzan Zhuang, Rudi A J O Dierckx, Habib ZaidiNeuroimage|July 11, 2006
Comparative assessment of statistical brain MR image segmentation algorithms and their impact on partial volume correction in PETHabib Zaidi, Torsten Ruest, Frederic Schoenahl, et al.PET Clinics|June 6, 2020
Potential Applications of PET-Based Novel Quantitative Techniques in Pediatric Diseases and DisordersAbass Alavi, Sina Houshmand, Thomas J Werner, et al.Medical Physics|July 2, 2015
Assessment of radiation dose in nuclear cardiovascular imaging using realistic computational modelsTianwu Xie, Choonsik Lee, Wesley E Bolch, et al.Medical Physics|July 5, 2012
Metal artifact reduction strategies for improved attenuation correction in hybrid PET/CT imagingMehrsima Abdoli, Rudi A J O Dierckx, Habib ZaidiMedical Physics|January 10, 2024
Strategies for deep learning-based attenuation and scatter correction of brain 18 F-FDG PET images in the image domainReza Jahangir, Alireza Kamali-Asl, Hossein Arabi, et al.Pageof 60