Anees Abrol

51 papers B 2C 3Misc 2Journal 21Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Symptomatic to Pre-Symptomatic: Adaptive Knowledge Distillation for Early Alzheimer's Detection Using Functional MRI.
IEEE Trans. Biomed. Eng.
Yuxiang Wei, Anees Abrol, James J. Lah, Allan I. Levey, Vince D. Calhoun
2025 J jnl
A Generative Imputation Method for Multimodal Alzheimer's Disease Diagnosis.
CoRR
Reihaneh Hassanzadeh, Anees Abrol, Hamid Reza Hassanzadeh, Vince D. Calhoun
2025 C conf
A Mixed Deep Neural Network for sMRI and fMR Features Fusion in AD Detection.
BIBE
Yanteng Zhang, Yuxiang Wei, Yizhuo He, Anees Abrol, Vince D. Calhoun
2025 B conf
Brain region-based attention network for Alzheimer's disease detection from multimodal imaging.
AVSS
Xupeng Kou, Yanteng Zhang, Zibo Zhao, Anees Abrol, Vince D. Calhoun
2025 B conf
Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis.
RECOMB
Yuxiang Wei, Anees Abrol, Vince D. Calhoun
2025 J jnl
MultiViT2: A Data-augmented Multimodal Neuroimaging Prediction Framework via Latent Diffusion Model.
CoRR
Yuda Bi, Sihan Jia, Yutong Gao, Anees Abrol, Zening Fu, Vince D. Calhoun
2024 Misc conf
A Novel Deep Subspace Learning Framework to Automatically Uncover Assessment-Specific Independent Brain Networks.
CISS
Ishaan Batta, Anees Abrol, Vince D. Calhoun
2024 — conf
A deep spatio-temporal attention model of dynamic functional network connectivity shows sensitivity to Alzheimer's in asymptomatic individuals.
EMBC
Yuxiang Wei, Anees Abrol, James J. Lah, Deqiang Qiu, Vince D. Calhoun
2024 J jnl
A deep spatio-temporal attention model of dynamic functional network connectivity shows sensitivity to Alzheimer's in asymptomatic individuals.
CoRR
Yuxiang Wei, Anees Abrol, James J. Lah, Deqiang Qiu, Vince D. Calhoun
2024 J jnl
An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease.
CoRR
Giorgio Dolci, Federica Cruciani, Md Abdur Rahaman, Anees Abrol, Jiayu Chen, Zening Fu, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun
2024 — conf
Constrained Source-based Salience: Network-based Visualization of Deep Learning Neuroimaging Models.
BHI
Ishaan Batta, Anees Abrol, Vince D. Calhoun
2024 Misc conf
Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs.
ICASSP
Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun
2024 — conf
Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease Biomarkers.
EMBC
Reihaneh Hassanzadeh, Anees Abrol, Hamid Reza Hassanzadeh, Vince D. Calhoun
2024 J jnl
Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease Biomarkers.
CoRR
Reihaneh Hassanzadeh, Anees Abrol, Hamid Reza Hassanzadeh, Vince D. Calhoun
2024 J jnl
Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications.
Frontiers Comput. Neurosci.
Noemi Montobbio, Roberto Maffulli, Anees Abrol, Pablo Martínez-Cañada
2024 J jnl
Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity.
NeuroImage
Yuda Bi, Anees Abrol, Sihan Jia, Jing Sui, Vince D. Calhoun
2024 J jnl
Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis.
CoRR
Yuxiang Wei, Anees Abrol, Reihaneh Hassanzadeh, Vince D. Calhoun
2024 J jnl
Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive Impairment.
Sensors
Sahithi Kolla, Haleh Falakshahi, Anees Abrol, Zening Fu, Vince D. Calhoun
2024 J jnl
Multimodal MRI-based Detection of Amyloid Status in Alzheimer's Disease Continuum.
CoRR
Giorgio Dolci, Charles A. Ellis, Federica Cruciani, Lorenza Brusini, Anees Abrol, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun
2024 J jnl
Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities.
NeuroImage
Zening Fu, Ishaan Batta, Lei Wu, Anees Abrol, Oktay Agcaoglu, Mustafa S. Salman, Yuhui Du, Armin Iraji, Sarah Shultz, Jing Sui, Vince D. Calhoun
2024 — conf
Voxelwise Intensity Projection for the Spatial Representation of Resting State Functional MRI Networks and Multimodal Deep Learning.
ISBI
Vaibhavi S. Itkyal, Anees Abrol, Theodore J. LaGrow, Vince D. Calhoun
2023 — conf
A Multimodal Deep Learning Approach for Automated Detection and Characterization of Distinctly Salient Features of Alzheimers Disease.
ISBI
Ishaan Batta, Anees Abrol, Vince D. Calhoun
2023 J jnl
Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs.
CoRR
Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun
2023 — conf
Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data.
ICASSP Workshops
Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun
2023 — conf
MultiViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data.
ISBI
Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun
2022 C conf
A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction.
BIBE
Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun
2022 J jnl
An Approach to Automatically Label and Order Brain Activity/Component Maps.
Brain Connect.
Mustafa S. Salman, Tor D. Wager, Eswar Damaraju, Anees Abrol, Victor M. Vergara, Zening Fu, Vince D. Calhoun
2022 J jnl
Building Models of Functional Interactions Among Brain Domains that Encode Varying Information Complexity: A Schizophrenia Case Study.
Neuroinformatics
Ishaan Batta, Anees Abrol, Zening Fu, Adrian Preda, Theo G. M. van Erp, Vince D. Calhoun
2022 — conf
Classification of Schizophrenia and Alzheimer's Disease using Resting-State Functional Network Connectivity.
BHI
Reihaneh Hassanzadeh, Anees Abrol, Vince D. Calhoun
2022 — conf
Deep Learning Prediction and Visualization of Gender Related Brain Changes from Longitudinal Structural MRI Data in the ABCD Study.
EMBC
Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun
2022 J jnl
Deep Learning in Neuroimaging: Promises and challenges.
IEEE Signal Process. Mag.
Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun
2022 — conf
Discovery and Replication of Time-Resolved Functional Network Connectivity Differences in Adolescence and Adulthood in over 50K fMRI Datasets.
EMBC
Anees Abrol, Vince D. Calhoun
2022 — conf
Learning Active Multimodal Subspaces in the Brain.
EMBC
Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
2022 J jnl
Pipeline-Invariant Representation Learning for Neuroimaging.
CoRR
Xinhui Li, Alex Fedorov, Mrinal Mathur, Anees Abrol, Gregory Kiar, Sergey M. Plis, Vince D. Calhoun
2022 — conf
Probing the link between the APOE-ε4 allele and whole-brain gray matter using deep learning.
EMBC
Anees Abrol, Ihab Hajjar, Vince D. Calhoun
2021 J jnl
A Classification-Based Approach to Estimate the Number of Resting Functional Magnetic Resonance Imaging Dynamic Functional Connectivity States.
Brain Connect.
Debbrata K. Saha, Eswar Damaraju, Barnaly Rashid, Anees Abrol, Sergey M. Plis, Vince D. Calhoun
2021 — conf
A Multimodal Learning Framework to Study Varying Information Complexity in Structural and Functional Sub-Domains in Schizophrenia.
ISBI
Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
2021 — conf
Deep learning in resting-state fMRI
EMBC
Anees Abrol, Reihaneh Hassanzadeh, Sergey M. Plis, Vince D. Calhoun
2021 — conf
Uncovering Active Structural Subspaces Associated with Changes in Indicators for Alzheimer's Disease.
EMBC
Ishaan Batta, Anees Abrol, Vince D. Calhoun
2020 — conf
Fully automated ordering and labeling of ICA components.
BIBM
Mustafa S. Salman, Tor D. Wager, Eswar Damaraju, Anees Abrol, Vince D. Calhoun
2020 — conf
Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels.
ISBI
Armin Iraji, Noah Lewis, Ashkan Faghiri, Zening Fu, Thomas DeRamus, Anees Abrol, Shile Qi, Vince D. Calhoun
2020 C conf
Varying Information Complexity in Functional Domain Interactions in Schizophrenia.
BIBE
Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
2019 — conf
Classification As a Criterion to Select Model Order For Dynamic Functional Connectivity States in Rest-fMRI Data.
ISBI
Debbrata K. Saha, Anees Abrol, Eswar Damaraju, Barnaly Rashid, Sergey M. Plis, Vince D. Calhoun
2019 J jnl
Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings.
NeuroImage
Bradley T. Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D. Sarwate, Vince D. Calhoun, Sergey M. Plis
2019 — conf
Diagnostic and Prognostic Classification of Brain Disorders Using Residual Learning on Structural MRI Data.
EMBC
Anees Abrol, Hooman Rokham, Vince D. Calhoun
2019 — conf
Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression.
EMBC
Anees Abrol, Zening Fu, Yuhui Du, Vince D. Calhoun
2019 — conf
Prediction of Progression to Alzheimer's disease with Deep InfoMax.
BHI
Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
2019 J jnl
Prediction of Progression to Alzheimer's disease with Deep InfoMax.
CoRR
Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
2019 — conf
Selection of Efficient Clustering Index to Estimate the Number of Dynamic Brain States from Functional Network Connectivity.
EMBC
Victor M. Vergara, Anees Abrol, Flor A. Espinoza, Vince D. Calhoun
2017 J jnl
Replicability of time-varying connectivity patterns in large resting state fMRI samples.
NeuroImage
Anees Abrol, Eswar Damaraju, Robyn L. Miller, Julia M. Stephen, Eric D. Claus, Andrew R. Mayer, Vince D. Calhoun
2016 — conf
The chronnectome: Evaluating replicability of dynamic connectivity patterns in 7500 resting fMRI datasets.
EMBC
Anees Abrol, Charlotte Chaze, Eswar Damaraju, Vince D. Calhoun