Anees Abrol

Also affiliated with Georgia State University, Center for Translational Research in Neuroimaging and Data Science

NeuroscienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 2%percentile

4.1Author DataRank

Indexed papers

4in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 4 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring(2023)10.1002/dad2.12393

Top 10%

2.1DataRank

Top 10%70 citations

Maureen Okafor, Jinho D. Choi, Elliot Moore, Anees Abrol, Vince D. Calhoun +2 more

Papers

Driven by 35 papers — median percentile 70. Top paper: “Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease”.

Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring(2023)10.1002/dad2.12393

Top 10%

2.1DataRank

Top 10%70 citations

Maureen Okafor, Jinho D. Choi, Elliot Moore, Anees Abrol, Vince D. Calhoun +2 more

Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+ Individuals

Cerebral Cortex(2020)10.1093/cercor/bhaa127

Top 15%

1.4DataRank

Top 15%54 citations

Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Anees Abrol, Jiayu Chen, Jessica A. Turner, Eswar Damaraju +11 more

Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning

Nature Communications(2021)10.1038/s41467-020-20655-6

N/A

0.809DataRank · unranked

219 citations

Zening Fu, Mustafa S. Salman, Rogers F. Silva, Yuhui Du, Sergey Plis +2 more

A Phase II Study Repurposing Atomoxetine for Neuroprotection in Mild Cognitive Impairment

medRxiv(2021)10.1101/2021.07.06.21260104

N/A

0.494DataRank · unranked

8 citations

Deqiang Qiu, Liping Zhao, William T. Hu, Duc M. Duong, Lenora Higginbotham +17 more

Developmental and aging resting functional magnetic resonance imaging brain state adaptations in adolescents and adults: A large N (>47K) study

Human Brain Mapping(2023)10.1002/hbm.26200

Top 45%

0.416DataRank

Top 45%15 citations

Zening Fu, Yuhui Du, Tony W. Wilson, Yu‐Ping Wang, Julia M. Stephen +2 more

Hype versus hope: Deep learning encodes more predictive and robust brain imaging representations than standard machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.14.041582

N/A

0.396DataRank · unranked

13 citations

Zening Fu, Mustafa S. Salman, Rogers F. Silva, Yuhui Du, Sergey Plis +2 more

Discovery and Replication of Time-Resolved Functional Network Connectivity Differences in Adolescence and Adulthood in over 50K fMRI Datasets

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9870916

Top 70%

0.165DataRank

Top 70%2 citations

Vince D. Calhoun, Anees Abrol

Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder

Communications Biology(2021)10.1038/s42003-021-02592-2

N/A

0DataRank · unranked

48 citations

Zening Fu, Ying Xing, Dongdong Lin, Godfrey D. Pearlson, Peter Kochunov +6 more

A Multimodal Learning Framework to Study Varying Information Complexity in Structural and Functional Sub-Domains in Schizophrenia

(2021)10.1109/isbi48211.2021.9434152

N/A

0DataRank · unranked

0 citations

Anees Abrol, Zening Fu, Vince D. Calhoun, Ishaan Batta

Learning Active Multimodal Subspaces in the Brain

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.12.06.471396

N/A

0DataRank · unranked

0 citations

Anees Abrol, Zening Fu, Vince D. Calhoun, Ishaan Batta

Deep Learning in Neuroimaging: Promises and challenges

IEEE Signal Processing Magazine(2022)10.1109/msp.2021.3128348

N/A

0DataRank · unranked

78 citations

Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao +5 more

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

Journal of Neuroscience Methods(2022)10.1016/j.jneumeth.2022.109744

N/A

0DataRank · unranked

13 citations

Anees Abrol, Zening Fu, Jiayu Chen, Jingyu Liu, Vince D. Calhoun +1 more

Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals

PLoS ONE(2022)10.1371/journal.pone.0249502

N/A

0DataRank · unranked

4 citations

Rogers F. Silva, Anees Abrol, Mustafa S. Salman, Anna K. Bonkhoff, Yuhui Du +6 more

A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction

(2022)10.1109/bibe55377.2022.00017

N/A

0DataRank · unranked

12 citations

Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol +3 more

Learning Active Multimodal Subspaces in the Brain

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871077

N/A

0DataRank · unranked

2 citations

Anees Abrol, Zening Fu, Vince D. Calhoun, Ishaan Batta

Probing the link between the APOE-ε4 allele and whole-brain gray matter using deep learning

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871338

N/A

0DataRank · unranked

0 citations

Ihab Hajjar, Vince D. Calhoun, Anees Abrol

MRI-based deep learning can discriminate between temporal lobe epilepsy, Alzheimer’s disease, and healthy controls

Communications Medicine(2023)10.1038/s43856-023-00262-4

N/A

0DataRank · unranked

39 citations

Rebecca Roth, Eleni Bougioukli, Theodor Rüber, Simon S. Keller, Daniel L. Drane +12 more

Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities

NeuroImage(2024)10.1016/j.neuroimage.2024.120617

N/A

0DataRank · unranked

30 citations

Ishaan Batta, Lei Wu, Anees Abrol, Oktay Agcaoglu, Mustafa S. Salman +6 more

A multimodal Neuroimaging-Based risk score for mild cognitive impairment

NeuroImage Clinical(2024)10.1016/j.nicl.2024.103719

N/A

0DataRank · unranked

3 citations

Mohammad S.E. Sendi, Anees Abrol, Ishaan Batta, Reihaneh Hassanzadeh, Vince D. Calhoun +1 more

Multimodal active subspace analysis for computing assessment oriented subspaces from neuroimaging data

Journal of Neuroscience Methods(2024)10.1016/j.jneumeth.2024.110109

N/A

0DataRank · unranked

3 citations

Anees Abrol, Vince D. Calhoun, Ishaan Batta

Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer’s Disease and Cognitive Impairment

Sensors(2024)10.3390/s24030814

N/A

0DataRank · unranked

2 citations

Haleh Falakshahi, Anees Abrol, Zening Fu, Vince D. Calhoun, Sahithi Kolla

Voxelwise Intensity Projection for the Spatial Representation of Resting State Functional MRI Networks and Multimodal Deep Learning

(2024)10.1109/isbi56570.2024.10635831

N/A

0DataRank · unranked

0 citations

Anees Abrol, Theodore J. LaGrow, Vince D. Calhoun, Vaibhavi S. Itkyal

Generating MRI ‐Derived CSF Proxy‐Markers to Predict and Visualize Alzheimer's Disease Progression

Human Brain Mapping(2025)10.1002/hbm.70391

N/A

0DataRank · unranked

3 citations

Vince D. Calhoun, the Alzheimer's Disease Neuroimaging Initiative, Anees Abrol

An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer’s disease

Journal of Neural Engineering(2025)10.1088/1741-2552/ae087d

N/A

0DataRank · unranked

3 citations

Federica Cruciani, Md Abdur Rahaman, Anees Abrol, Jiayu Chen, Zening Fu +5 more

From Symptomatic to Pre-Symptomatic: Adaptive Knowledge Distillation for Early Alzheimer's Detection Using Functional MRI

IEEE Transactions on Biomedical Engineering(2025)10.1109/tbme.2025.3597261

N/A

0DataRank · unranked

2 citations

Anees Abrol, James J. Lah, Allan I. Levey, Vince D. Calhoun, Yuxiang Wei

Multi-Layer Modeling and Visualization of Functional Network Connectivity Shows High Performance for the Classification of Schizophrenia and Cognitive Performance via Resting fMRI

BioMed(2025)10.3390/biomed5020010

N/A

0DataRank · unranked

1 citations

Anees Abrol, Zening Fu, Vince D. Calhoun, Duc My Vo

State Guided ICA of Functional Network Connectivity Reveals Temporal Signatures of Alzheimer's Disease

medRxiv(2025)10.1101/2025.09.23.25336175

N/A

0DataRank · unranked

1 citations

Mohammad SE Sendi, Anees Abrol, Armin Iraji, Vince D. Calhoun, Elaheh Zendehrouh

Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease

Journal of Neuroscience Methods(2020)10.1016/j.jneumeth.2020.108701

N/A

0DataRank · unranked

179 citations

Manish Bhattarai, Alex Fedorov, Yuhui Du, Sergey Plis, Vince D. Calhoun +1 more

A Mixed Deep Neural Network for sMRI and fMR Features Fusion in AD Detection

(2025)10.1109/bibe66822.2025.00042

N/A

0DataRank · unranked

1 citations

Yuxiang Wei, Yizhuo He, Anees Abrol, Vince D. Calhoun, Yanteng Zhang

NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

NeuroImage Clinical(2020)10.1016/j.nicl.2020.102375

N/A

0DataRank · unranked

467 citations

Zening Fu, Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Shuang Gao, Ying Xing, Dongdong Lin +9 more