Neuroimage-based Phenotyping Project

This project is developing computational phenotyping methods that characterize association patterns among progressive preclinical brain changes in longitudinally acquired brain images in order to predict cognitive decline in individuals at risk for Alzheimer’s disease.

Related CPCP Publications

Performing group difference testing on graph structured data from GANs: Analysis and applications in neuroimaging. Dinh TQ, Xiong Y, Huang Z, Vo T, Mishra A, Kim WH, Ravi S, Singh V. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020

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FairALM: Augmented Lagrangian method for training fair models with little regret. Lokhande VS, Akash AK, Ravi SN, Singh V. Proceedings of the European Conference on Computer Vision (ECCV), 2020

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Generating accurate pseudo-labels in semi-supervised learning and avoiding overconfident predictions via Hermite polynomial activations. Lokhande VS, Tasneeyapant S, Venkatesh A, Ravi S, Singh V. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

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Optimizing nondecomposable data dependent regularizers via Lagrangian reparameterization offers significant performance and efficiency gains. Ravi S, Venkatesh A, Fung G, Singh V. Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020

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Association of longitudinal white matter degeneration and cerebrospinal fluid biomarkers of neurodegeneration, inflammation and Alzheimer's disease in late-middle-aged adults. Racine A, et al.. Brain Imaging and Behavior 13(1):41-52, 2019

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Lead

Vikas Singh

Investigators

Barbara Bendlin

Sterling Johnson

Xiaojin "Jerry" Zhu

Nagesh Adluru

Ronak Mehta

Wei Zhang

Resources

CPCP 2018 Retreat: Graph Total Variation Regularization for fMRI Neural Decoding Symposium Video

CPCP 2018 Retreat: Modeling Hierarchical Structure using Multiscale Factorization - Tracking Early Decline in Alzheimer's Disease Symposium Video

CPCP 2017 Retreat: Connectivity Loss in Alzheimer's Disease Symposium Video

CPCP 2017 Retreat: Graph Completion - Adaptive Study Design for Cost Effective Neuroimaging Trials in Preclinical AD Symposium Video

CPCP Retreat 2016: Neuroimage-Based Phenotyping and the Problem of AD Symposium Video