Brain Hemisphere Dissimilarity, a Self-Supervised Learning Approach for alpha-synucleinopathies prediction with FDG PET

• Published in: Proceedings (International Symposium on Biomedical Imaging) Vol. 2023; pp. 1 - 5
• Main Authors: Tripathi, S., Mattioli, P., Liguori, C., Chiaravalloti, A., Arnaldi, D., Giancardo, L.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.04.2023
• Subjects: 18F-FDG PET; Clinical trials; Contrastive loss; Convolutional neural networks; Dementia with Lewy Bodies; Hardware design languages; Parkinson's; Parkinson's disease; Rapid eye movement sleep; Representation learning; Self-supervised learning; 18F-FDG PET; Contrastive loss; Dementia with Lewy Bodies; Self-supervised learning; Parkinson’s

Idiopathic Rem sleep Behavior Disorder (iRBD) is a significant biomarker for the development of alpha-synucleinopathies, such as Parkinson's disease (PD) or Dementia with Lewy bodies (DLB). Methods to identify patterns in iRBD patients can help in the prediction of the future conversion to thes...