100 citations · 101 across the 4 of their papers we have counts for
7 papers
IC-GNN: Modeling Individualized Brain Community Organization for Disease Prediction
Yang Zhang, Xiao Zhou, Jonathan Warrell +4
Brain networks exhibit modular organization, where community structures vary substantially across individuals and diseases. Understanding these individual differences is crucial fo…
Identity-Duplication Auditing in National-Scale Neuroimaging Repositories
Jiheng Li, Michael E. Kim, Trent M. Schwartz +20
National-scale magnetic resonance imaging (MRI) repositories increasingly integrate data from different studies and institutions. However, subject identifiers assigned to study par…
From the Drosophila Visual Connectome to General-Purpose Computer Vision
Zongyu Li, Akito Yamauchi, Huaizhi Liu +4
Biological connectomes encode structured solutions to visual computation that may provide reusable inductive biases for artificial vision. We develop ConnectomeX around FlyVision,…
Brain-PACE: A Deep Siamese MRI Framework for Modelling Longitudinal Brain Acceleration
Samuel Maddox, Jacob Newman, Saber Sami +4
Brain age estimation has become a popular research proxy for assessing brain health and disease, yet longitudinal trajectories of brain ageing are still poorly defined, and clinica…
Structure-Adaptive E-Value Filter for Detecting Regional Signals in Brain Imaging
Jingcheng He, Hangjin Jiang, Wenguang Sun +1
Structural MRI provides a noninvasive view of the neuroanatomical differences associated with cognitive impairment and dementia. Using data from the Alzheimer's Disease Neuroimagin…
TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +8
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge compares the performance of algorithms at predicting future evolution of individuals at risk of Alz…
Estimation of the Volume Under the ROC Surface in Presence of Nonignorable Verification Bias
Khanh To Duc, Monica Chiogna, Gianfranco Adimari
The volume under the receiver operating characteristic surface (VUS) is useful for measuring the overall accuracy of a diagnostic test when the possible disease status belongs to o…