| Comprehending text versus reading words in young readers with varying reading ability: distinct patterns of functional connectivity from common processing hubs KS Aboud, SK Bailey, SA Petrill, LE Cutting Developmental science 19 (4), 632-656, 2016 | 77 | 2016 |
| Applying a network framework to the neurobiology of reading and dyslexia SK Bailey, KS Aboud, TQ Nguyen, LE Cutting Journal of neurodevelopmental disorders 10, 1-9, 2018 | 70 | 2018 |
| Prefrontal mediation of the reading network predicts intervention response in dyslexia KS Aboud, LA Barquero, LE Cutting Cortex 101, 96-106, 2018 | 53 | 2018 |
| Anatomical context improves deep learning on the brain age estimation task C Bermudez, AJ Plassard, S Chaganti, Y Huo, KS Aboud, LE Cutting, ... Magnetic Resonance Imaging 62, 70-77, 2019 | 49 | 2019 |
| Spatially localized atlas network tiles enables 3D whole brain segmentation from limited data Y Huo, Z Xu, K Aboud, P Parvathaneni, S Bao, C Bermudez, SM Resnick, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 45 | 2018 |
| Anomalous gray matter patterns in specific reading comprehension deficit are independent of dyslexia S Bailey, F Hoeft, K Aboud, L Cutting Annals of dyslexia 66, 256-274, 2016 | 42 | 2016 |
| Comprehending expository texts: the dynamic neurobiological correlates of building a coherent text representation K Swett, AC Miller, S Burns, F Hoeft, N Davis, SA Petrill, LE Cutting Frontiers in Human Neuroscience 7, 853, 2013 | 42 | 2013 |
| Structural covariance across the lifespan: Brain development and aging through the lens of inter‐network relationships KS Aboud, Y Huo, H Kang, A Ealey, SM Resnick, BA Landman, ... Human brain mapping 40 (1), 125-136, 2019 | 30 | 2019 |
| Neurobiological bases of word recognition and reading comprehension LE Cutting, SK Bailey, LA Barquero, K Aboud Advances in reading intervention: Research to practice to research, 73-84, 2015 | 25 | 2015 |
| Fairy tales versus facts: Genre matters to the developing brain KS Aboud, SK Bailey, SN Del Tufo, LA Barquero, LE Cutting Cerebral Cortex 29 (11), 4877-4888, 2019 | 21 | 2019 |
| Mapping lifetime brain volumetry with covariate-adjusted restricted cubic spline regression from cross-sectional multi-site MRI Y Huo, K Aboud, H Kang, LE Cutting, BA Landman Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 21 | 2016 |
| Advances in reading intervention: research to practice to research LE Cutting, SK Bailey, LA Barquero, K Aboud, CM Connor, P McCardle Baltimore, MD: Brookes Publishing,, 2015 | 5 | 2015 |
| Rapid interactions of widespread brain networks characterize semantic cognition KS Aboud, TQ Nguyen, SN Del Tufo, C Chang, DH Zald, AP Key, ... Journal of Neuroscience 43 (1), 142-154, 2023 | 4 | 2023 |
| Joint cortical surface and structural connectivity analysis of Alzheimer’s Disease LY Cai, CI Kerley, C Yu, KS Aboud, L Beason-Held, AT Shafer, ... Medical Imaging 2021: Image Processing 11596, 824-833, 2021 | 3 | 2021 |
| Data-driven probabilistic atlases capture whole-brain individual variation Y Huo, K Swett, SM Resnick, LE Cutting, BA Landman arXiv preprint arXiv:1806.02300, 2018 | 3 | 2018 |
| Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury CI Kerley, LY Cai, C Yu, LM Crawford, JM Elenberger, ES Singh, ... Medical Imaging 2021: Image Processing 11596, 189-197, 2021 | 1 | 2021 |
| System, method and computer program product for enhanced learning using brain-guided non-invasive brain stimulation K Aboud, L Cutting US Patent App. 17/993,218, 2023 | | 2023 |
| Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer’s disease LY Cai, F Rheault, CI Kerley, KS Aboud, LL Beason-Held, AT Shafer, ... Medical Imaging 2022: Image Processing 12032, 398-407, 2022 | | 2022 |
| Where and when meaning occurs in the brain: Evidence for a neurobiological model of reading comprehension ability KS Aboud | | 2019 |
| Prediction of chronological age from hierarchical brain volumes using a random forest regression can provide a personalized lifetime metric of aging.(P6. 078) C Bermudez, Y Huo, A Plassard, KE Aboud, L Cutting, B Landman Neurology 88 (16 Supplement), 2017 | | 2017 |
