HIGHLIGHTS
- who: Christian Hinge from the IRCCS SYNLAB SDN, Italy Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of have published the article: A zero-dose synthetic baseline for the personalized analysis of [18F]FDG-PET: Application in Alzheimer`s disease, in the Journal: (JOURNAL)
- what: Overcoming this the authors propose a deep learning method for synthesizing a personalized FDG-PET baseline from the patient`s own MRI and showcase its applicability in detecting AD pathology. The personalized abnormality method correctly mapped the pathology of AD subjects while showing little to no anomalies for . . .
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