neuroimaging data

Classification of High-dimensional Time Series in Spectral Domain Using Explainable Features with Applications to Neuroimaging Data AISTATS 2025 A scalable generative model for dynamical system reconstruction from neuroimaging data NeurIPS 2024 DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data AISTATS 2024 Graph Neural Networks for Brain Graph Learning: A Survey IJCAI 2024 A Nonconvex Framework for Structured Dynamic Covariance Recovery JMLR 2022 Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data NeurIPS 2022 Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments AAAI 2020 Causal Discovery with General Non-Linear Relationships using Non-Linear ICA UAI 2019 Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data MIDL 2019 Kernelized Support Tensor Machines ICML 2017 See without looking: joint visualization of sensitive multi-site datasets IJCAI 2017 Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis NeurIPS 2015 Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data NeurIPS 2015 On Prior Distributions and Approximate Inference for Structured Variables NeurIPS 2014 Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013 Natural Image Bases to Represent Neuroimaging Data ICML 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis NeurIPS 2011 Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data NeurIPS 2009 Temporal Dynamics of Cognitive Control NeurIPS 2008