1 code implementation • 14 Nov 2023 • JingRu Fu, Daniel Ferreira, Örjan Smedby, Rodrigo Moreno
In this study, we propose a deformation-based morphometry framework to estimate normal aging and AD-specific atrophy patterns of subjects from morphological MRI scans.
1 code implementation • 31 May 2022 • JingRu Fu, Antonios Tzortzakakis, José Barroso, Eric Westman, Daniel Ferreira, Rodrigo Moreno
Analyzing and predicting brain aging is essential for early prognosis and accurate diagnosis of cognitive diseases.
no code implementations • 24 Nov 2017 • Shan-Shan Wang, Lei Zhang, JingRu Fu
To address the problems of visual domain mismatch, we propose a novel semi-supervised adversarial transfer learning approach, which is called Coupled adversarial transfer Domain Adaptation (CatDA), for distribution alignment between two domains.