| The spatial chronnectome reveals a dynamic interplay between functional segregation and integration A Iraji, TP Deramus, N Lewis, M Yaesoubi, JM Stephen, E Erhardt, ... Human brain mapping 40 (10), 3058-3077, 2019 | 76 | 2019 |
| Tools of the trade: estimating time-varying connectivity patterns from fMRI data A Iraji, A Faghiri, N Lewis, Z Fu, S Rachakonda, VD Calhoun Social cognitive and affective neuroscience 16 (8), 849-874, 2021 | 71 | 2021 |
| Spatial dynamics within and between brain functional domains: A hierarchical approach to study time‐varying brain function A Iraji, Z Fu, E Damaraju, TP DeRamus, N Lewis, JR Bustillo, RK Lenroot, ... Human brain mapping 40 (6), 1969-1986, 2019 | 57 | 2019 |
| Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness MA Rahaman, J Chen, Z Fu, N Lewis, A Iraji, VD Calhoun 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 23 | 2021 |
| Cooperative learning: Decentralized data neural network N Lewis, S Plis, V Calhoun 2017 international joint conference on neural networks (IJCNN), 324-331, 2017 | 22 | 2017 |
| Whole MILC: generalizing learned dynamics across tasks, datasets, and populations U Mahmood, MM Rahman, A Fedorov, N Lewis, Z Fu, VD Calhoun, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 20 | 2020 |
| Static and dynamic functional connectivity analysis of cerebrovascular reactivity: An fMRI study N Lewis, H Lu, P Liu, X Hou, E Damaraju, A Iraji, V Calhoun Brain and behavior 10 (6), e01516, 2020 | 17 | 2020 |
| Ultra-high-order ICA: an exploration of highly resolved data-driven representation of intrinsic connectivity networks (sparse ICNs) A Iraji, A Faghiri, N Lewis, Z Fu, T DeRamus, S Qi, S Rachakonda, Y Du, ... Wavelets and Sparsity XVIII 11138, 177-185, 2019 | 16 | 2019 |
| Interpreting models interpreting brain dynamics MM Rahman, U Mahmood, N Lewis, H Gazula, A Fedorov, Z Fu, ... Scientific reports 12 (1), 12023, 2022 | 15 | 2022 |
| Decentralized distribution-sampled classification models with application to brain imaging N Lewis, H Gazula, SM Plis, VD Calhoun Journal of neuroscience methods 329, 108418, 2020 | 10 | 2020 |
| Deep multimodal predictome for studying mental disorders MA Rahaman, J Chen, Z Fu, N Lewis, A Iraji, TGM van Erp, VD Calhoun Human brain mapping 44 (2), 509-522, 2023 | 9 | 2023 |
| Fusing multimodal neuroimaging data with a variational autoencoder E Geenjaar, N Lewis, Z Fu, R Venkatdas, S Plis, V Calhoun 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 7 | 2021 |
| Can recurrent models know more than we do? N Lewis, R Miller, H Gazula, MM Rahman, A Iraji, VD Calhoun, S Plis 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 243-247, 2021 | 5 | 2021 |
| Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment Y Gao, N Lewis, VD Calhoun, RL Miller Computers in Biology and Medicine 161, 107005, 2023 | 3 | 2023 |
| Fine temporal brain network structure modularizes and localizes differently in men and women: insights from a novel explainability framework N Lewis, R Miller, H Gazula, V Calhoun Cerebral Cortex 33 (10), 5817-5828, 2023 | 3 | 2023 |
| Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data E Geenjaar, A Kashyap, N Lewis, R Miller, V Calhoun arXiv preprint arXiv:2205.13640, 2022 | 2 | 2022 |
| A molecular-level mechanistic framework for interfacial proton-coupled electron transfer kinetics NB Lewis, RP Bisbey, KS Westendorff, AV Soudackov, Y Surendranath Nature Chemistry, 1-10, 2024 | 1 | 2024 |
| Spatial Dynamic Subspaces Encode Sex-Specific Schizophrenia Disruptions in Transient Network Overlap and Their Links to Genetic Risk A Iraji, J Chen, N Lewis, A Faghiri, Z Fu, O Agcaoglu, P Kochunov, ... Biological Psychiatry, 2023 | 1 | 2023 |
| Chromatic fusion: Generative multimodal neuroimaging data fusion provides multi‐informed insights into schizophrenia EPT Geenjaar, NL Lewis, A Fedorov, L Wu, JM Ford, A Preda, SM Plis, ... Human Brain Mapping 44 (17), 5828-5845, 2023 | 1 | 2023 |
| Going from lines to triangles: A formulation for time-frequency moments of time-series with application to study fMRI A Faghiri, A Iraji, N Lewis, K Yang, K Ishizuka, A Sawa, T Adali, V Calhoun 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022 | 1 | 2022 |
