Anees Abrol
Orcid: 0000-0001-9223-5314
According to our database1,
Anees Abrol
authored at least 31 papers
between 2016 and 2024.
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Bibliography
2024
Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive Impairment.
Sensors, February, 2024
A Novel Deep Subspace Learning Framework to Automatically Uncover Assessment-Specific Independent Brain Networks.
Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024
2023
Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs.
CoRR, 2023
MultiViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A Multimodal Deep Learning Approach for Automated Detection and Characterization of Distinctly Salient Features of Alzheimers Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
IEEE Signal Process. Mag., 2022
Building Models of Functional Interactions Among Brain Domains that Encode Varying Information Complexity: A Schizophrenia Case Study.
Neuroinformatics, 2022
Brain Connect., 2022
Deep Learning Prediction and Visualization of Gender Related Brain Changes from Longitudinal Structural MRI Data in the ABCD Study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Probing the link between the APOE-ε4 allele and whole-brain gray matter using deep learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Discovery and Replication of Time-Resolved Functional Network Connectivity Differences in Adolescence and Adulthood in over 50K fMRI Datasets.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction.
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022
Classification of Schizophrenia and Alzheimer's Disease using Resting-State Functional Network Connectivity.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
A Classification-Based Approach to Estimate the Number of Resting Functional Magnetic Resonance Imaging Dynamic Functional Connectivity States.
Brain Connect., 2021
A Multimodal Learning Framework to Study Varying Information Complexity in Structural and Functional Sub-Domains in Schizophrenia.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Uncovering Active Structural Subspaces Associated with Changes in Indicators for Alzheimer's Disease.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings.
NeuroImage, 2019
Classification As a Criterion to Select Model Order For Dynamic Functional Connectivity States in Rest-fMRI Data.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Selection of Efficient Clustering Index to Estimate the Number of Dynamic Brain States from Functional Network Connectivity.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Diagnostic and Prognostic Classification of Brain Disorders Using Residual Learning on Structural MRI Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2017
Replicability of time-varying connectivity patterns in large resting state fMRI samples.
NeuroImage, 2017
2016
The chronnectome: Evaluating replicability of dynamic connectivity patterns in 7500 resting fMRI datasets.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016