April 1, 2024, 4:42 a.m. | Luoyu Wang, Yitian Tao, Qing Yang, Yan Liang, Siwei Liu, Hongcheng Shi, Dinggang Shen, Han Zhang

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.20058v1 Announce Type: cross
Abstract: Simultaneous functional PET/MR (sf-PET/MR) presents a cutting-edge multimodal neuroimaging technique. It provides an unprecedented opportunity for concurrently monitoring and integrating multifaceted brain networks built by spatiotemporally covaried metabolic activity, neural activity, and cerebral blood flow (perfusion). Albeit high scientific/clinical values, short in hardware accessibility of PET/MR hinders its applications, let alone modern AI-based PET/MR fusion models. Our objective is to develop a clinically feasible AI-based disease diagnosis model trained on comprehensive sf-PET/MR data with the …

abstract arxiv brain cerebral clinical cs.ai cs.cv cs.lg diagnosis disease disease diagnosis edge eess.iv flow functional monitoring multimodal networks neuroimaging perfusion pet scientific type

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