output
20222025
most citedGenerative Aging of Brain Images with Diffeomorphic Registration

11 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

3 papers

cs.CV2025★ 3 cited

Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport

Jingru Fu, Yuqi Zheng, Neel Dey +2

Simulating prospective magnetic resonance imaging (MRI) scans from a given individual brain image is challenging, as it requires accounting for canonical changes in aging and/or di…

cs.CV2023★ 5 cited

A deformation-based morphometry framework for disentangling Alzheimer's disease from normal aging using learned normal aging templates

Jingru Fu, Daniel Ferreira, Örjan Smedby +1

Alzheimer's Disease and normal aging are both characterized by brain atrophy. The question of whether AD-related brain atrophy represents accelerated aging or a neurodegeneration p…

eess.IV2022★ 11 cited

Generative Aging of Brain Images with Diffeomorphic Registration

Jingru Fu, Antonios Tzortzakakis, José Barroso +3

Analyzing and predicting brain aging is essential for early prognosis and accurate diagnosis of cognitive diseases. The technique of neuroimaging, such as Magnetic Resonance Imagin…