Fluorodeoxyglucose (FDG) positron emission tomography (PET) is widely used for detecting metabolic changes associated with neurodegeneration in Alzheimer's disease (AD) and other dementias but is costly and involves ionizing radiation. Here we developed SynthPET, a multimodal deep learning framework that synthesizes FD...
Xavier Beltran-Urbano, Katie R. Jobson, I. Nasrallah et al.· Alzheimer's & Dementia· 0 citations
GenFAR, a modular deep learning framework that learns general, clinically informed features from brain MRIs, is introduced, showing that using the learned feature representation can substantially increase the sample efficiency of secondary deep learning training tasks and models, as well as improve their accuracy.
V. Bashyam, G. Erus, Jun-Hao Wen et al.· 0 citations
Findings identify altered network segregation as a potential neurobiological marker of OUD and suggest that restoration of brain network specialization is a measurable target of OUD treatment and potentially recovery.
Delaney McKinstry, Xin-Yi Li, A. Ramos-Rolón et al.· medRxiv· 0 citations
In this case report, areas of extensive amyloid clearance following amyloid targeting therapy were associated with less downstream neuropathological change and appear to preferentially occur in gyral crests.
Christopher A. Brown, John L. Robinson, Sandhitsu R. Das et al.· Journal of the American Medi...· 0 citations
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