Armin Iraji
Orcid: 0000-0002-0605-593X
According to our database1,
Armin Iraji
authored at least 32 papers
between 2011 and 2024.
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Bibliography
2024
Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities.
NeuroImage, 2024
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2024
Double Functionally Independent Primitives Provide Disorder Specific Fingerprints of Mental Illnesses.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Analysis of High-Order Brain Networks Resolved in Time and Frequency Using CP Decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Joint Structural and Functional Connectivity Learning Based Independent Component Analysis.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
The Nonlinear Brain: Towards Uncovering Hidden Brain Networks Using Explicitly Nonlinear Functional Interaction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Moving beyond the 'CAP' of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping.
NeuroImage, 2022
Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales.
Brain Connect., 2022
Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022
Going from lines to triangles: A formulation for time-frequency moments of time-series with application to study fMRI.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022
A Unified Framework for Modularizing and Comparing Time-Resolved Functional Connectivity Methods.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Spatially Constrained ICA Enables Robust Detection of Schizophrenia from Very Short Resting-state fMRI.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia.
NeuroImage, 2021
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021
2020
Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2017
Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder.
Medical Image Anal., 2017
2016
The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods.
NeuroImage, 2016
Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Group-wise sparse representation of brain states reveal network abnormalities in mild traumatic brain injury.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2011
Diffusion kurtosis imaging discriminates patients with white matter lesions from healthy subjects.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011