| 2025 | AVSS | Brain region-based attention network for Alzheimer's disease detection from multimodal imaging. | Xupeng Kou, Yanteng Zhang, Zibo Zhao, Anees Abrol, Vince D. Calhoun |
| 2025 | BIBE | A Mixed Deep Neural Network for sMRI and fMR Features Fusion in AD Detection. | Yanteng Zhang, Yuxiang Wei, Yizhuo He, Anees Abrol, Vince D. Calhoun |
| 2025 | RECOMB | Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis. | Yuxiang Wei, Anees Abrol, Vince D. Calhoun |
| 2024 | CISS | A Novel Deep Subspace Learning Framework to Automatically Uncover Assessment-Specific Independent Brain Networks. | Ishaan Batta, Anees Abrol, Vince D. Calhoun |
| 2024 | ICASSP | Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. | Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun |
| 2023 | ICASSP | Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data. | Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun |
| 2022 | BIBE | A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. | Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun |
| 2020 | BIBE | Varying Information Complexity in Functional Domain Interactions in Schizophrenia. | Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun |