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Reza Safdari

1 paper hereh-index 311 citations4 works total

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  • first author1

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  • eess.IV1

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collaborators

1 paper

eess.IV2024

AutoPET III Challenge: PET/CT Semantic Segmentation

Reza Safdari, Mohammad Koohi-Moghaddam, Kyongtae Tyler Bae

In this study, we implemented a two-stage deep learning-based approach to segment lesions in PET/CT images for the AutoPET III challenge. The first stage utilized a DynUNet model f…

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