Anees Abrol

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Independent Component Analysis

Network Connectivity

Top Venues

Publications

Giorgio Dolci, Charles A. Ellis, Federica Cruciani, Lorenza Brusini, Anees Abrol, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun
Multimodal MRI-based Detection of Amyloid Status in Alzheimer's Disease Continuum. CoRR (2024)
Ishaan Batta, Anees Abrol, Vince D. Calhoun
A Novel Deep Subspace Learning Framework to Automatically Uncover Assessment-Specific Independent Brain Networks. CISS (2024)
Zening Fu, Ishaan Batta, Lei Wu, Anees Abrol, Oktay Agcaoglu, Mustafa S. Salman, Yuhui Du, Armin Iraji, Sarah Shultz, Jing Sui, Vince D. Calhoun
Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities. NeuroImage 292 (2024)
Reihaneh Hassanzadeh, Anees Abrol, Hamid Reza Hassanzadeh, Vince D. Calhoun
Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease Biomarkers. CoRR (2024)
Yuda Bi, Anees Abrol, Sihan Jia, Jing Sui, Vince D. Calhoun
Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity. NeuroImage 297 (2024)
Sahithi Kolla, Haleh Falakshahi, Anees Abrol, Zening Fu, Vince D. Calhoun
Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive Impairment. Sensors 24 (3) (2024)
Giorgio Dolci, Federica Cruciani, Md Abdur Rahaman, Anees Abrol, Jiayu Chen, Zening Fu, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun
An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease. CoRR (2024)
Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun
Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. ICASSP (2024)
Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun
Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data. ICASSP Workshops (2023)
Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun
MultiViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data. ISBI (2023)
Ishaan Batta, Anees Abrol, Vince D. Calhoun
A Multimodal Deep Learning Approach for Automated Detection and Characterization of Distinctly Salient Features of Alzheimers Disease. ISBI (2023)
Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun
Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. CoRR (2023)
Ishaan Batta, Anees Abrol, Zening Fu, Adrian Preda, Theo G. M. van Erp, Vince D. Calhoun
Building Models of Functional Interactions Among Brain Domains that Encode Varying Information Complexity: A Schizophrenia Case Study. Neuroinformatics 20 (3) (2022)
Reihaneh Hassanzadeh, Anees Abrol, Vince D. Calhoun
Classification of Schizophrenia and Alzheimer's Disease using Resting-State Functional Network Connectivity. BHI (2022)
Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun
Deep Learning in Neuroimaging: Promises and challenges. IEEE Signal Process. Mag. 39 (2) (2022)
Anees Abrol, Ihab Hajjar, Vince D. Calhoun
Probing the link between the APOE-ε4 allele and whole-brain gray matter using deep learning. EMBC (2022)
Anees Abrol, Vince D. Calhoun
Discovery and Replication of Time-Resolved Functional Network Connectivity Differences in Adolescence and Adulthood in over 50K fMRI Datasets. EMBC (2022)
Yuda Bi, Anees Abrol, Zening Fu, Jiayu Chen, Jingyu Liu, Vince D. Calhoun
Prediction of Gender from Longitudinal MRI data via Deep Learning on Adolescent Data Reveals Unique Patterns Associated with Brain Structure and Change over a Two-year Period. CoRR (2022)
Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun
MultiCrossViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data. CoRR (2022)
Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun
Deep Learning Prediction and Visualization of Gender Related Brain Changes from Longitudinal Structural MRI Data in the ABCD Study. EMBC (2022)
Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun
A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. BIBE (2022)
Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
Learning Active Multimodal Subspaces in the Brain. EMBC (2022)
Mustafa S. Salman, Tor D. Wager, Eswar Damaraju, Anees Abrol, Victor M. Vergara, Zening Fu, Vince D. Calhoun
An Approach to Automatically Label and Order Brain Activity/Component Maps. Brain Connect. 12 (1) (2022)
Xinhui Li, Alex Fedorov, Mrinal Mathur, Anees Abrol, Gregory Kiar, Sergey M. Plis, Vince D. Calhoun
Pipeline-Invariant Representation Learning for Neuroimaging. CoRR (2022)
Anees Abrol, Reihaneh Hassanzadeh, Sergey M. Plis, Vince D. Calhoun
. EMBC (2021)
Debbrata K. Saha, Eswar Damaraju, Barnaly Rashid, Anees Abrol, Sergey M. Plis, Vince D. Calhoun
A Classification-Based Approach to Estimate the Number of Resting Functional Magnetic Resonance Imaging Dynamic Functional Connectivity States. Brain Connect. 11 (2) (2021)
Ishaan Batta, Anees Abrol, Vince D. Calhoun
Uncovering Active Structural Subspaces Associated with Changes in Indicators for Alzheimer's Disease. EMBC (2021)
Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
A Multimodal Learning Framework to Study Varying Information Complexity in Structural and Functional Sub-Domains in Schizophrenia. ISBI (2021)
Armin Iraji, Noah Lewis, Ashkan Faghiri, Zening Fu, Thomas DeRamus, Anees Abrol, Shile Qi, Vince D. Calhoun
Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. ISBI (2020)
Mustafa S. Salman, Tor D. Wager, Eswar Damaraju, Anees Abrol, Vince D. Calhoun
Fully automated ordering and labeling of ICA components. BIBM (2020)
Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
Varying Information Complexity in Functional Domain Interactions in Schizophrenia. BIBE (2020)
Bradley T. Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D. Sarwate, Vince D. Calhoun, Sergey M. Plis
Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings. NeuroImage 186 (2019)
Debbrata K. Saha, Anees Abrol, Eswar Damaraju, Barnaly Rashid, Sergey M. Plis, Vince D. Calhoun
Classification As a Criterion to Select Model Order For Dynamic Functional Connectivity States in Rest-fMRI Data. ISBI (2019)
Anees Abrol, Hooman Rokham, Vince D. Calhoun
Diagnostic and Prognostic Classification of Brain Disorders Using Residual Learning on Structural MRI Data. EMBC (2019)
Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
Prediction of Progression to Alzheimer's disease with Deep InfoMax. BHI (2019)
Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
Prediction of Progression to Alzheimer's disease with Deep InfoMax. CoRR (2019)
Anees Abrol, Zening Fu, Yuhui Du, Vince D. Calhoun
Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression. EMBC (2019)
Victor M. Vergara, Anees Abrol, Flor A. Espinoza, Vince D. Calhoun
Selection of Efficient Clustering Index to Estimate the Number of Dynamic Brain States from Functional Network Connectivity. EMBC (2019)
Anees Abrol, Eswar Damaraju, Robyn L. Miller, Julia M. Stephen, Eric D. Claus, Andrew R. Mayer, Vince D. Calhoun
Replicability of time-varying connectivity patterns in large resting state fMRI samples. NeuroImage 163 (2017)
Anees Abrol, Charlotte Chaze, Eswar Damaraju, Vince D. Calhoun
The chronnectome: Evaluating replicability of dynamic connectivity patterns in 7500 resting fMRI datasets. EMBC (2016)