Armin Iraji

Orcid: 0000-0002-0605-593X

According to our database1, Armin Iraji authored at least 26 papers between 2011 and 2024.

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Bibliography

2024
Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment.
CoRR, 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

Topological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Topological Correction of Subject-Level Intrinsic Connectivity Networks.
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

Spatial Dynamic Propagation of Network Activity in Resting fMRI Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Higher-Order Organization in the Human Brain From Matrix-Based Rényi's Entropy.
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

Can recurrent models know more than we do?
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


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