|
| 37744469 | The Past, Present, and Future of the Brain Imaging Data Structure (BIDS). | ArXiv | 2024 |
| 35277962 | How to remove or control confounds in predictive models, with applications to brain biomarkers. | Gigascience | 2022 |
| 35426912 | Benchmarking missing-values approaches for predictive models on health databases. | Gigascience | 2022 |
| 35488032 | Comprehensive decoding mental processes from Web repositories of functional brain images. | Sci Rep | 2022 |
| 35589311 | Understanding Brain Network Dynamics in Autism Begs for Generalization. | Biol Psychiatry | 2022 |
| 35413988 | Machine learning for medical imaging: methodological failures and recommendations for the future. | NPJ Digit Med | 2022 |
| 35413445 | Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery. | Neuroimage | 2022 |
| 36397092 | Body-weight variability and risk of cardiovascular outcomes in patients with type 1 diabetes: a retrospective observational analysis of data from the DCCT/EDIC population. | Cardiovasc Diabetol | 2022 |
| 36451365 | Advancing brain network models to reconcile functional neuroimaging and clinical research. | Neuroimage Clin | 2022 |
| 32804995 | Prediction, Not Association, Paves the Road to Precision Medicine. | JAMA Psychiatry | 2021 |
| 33932337 | Brainhack: Developing a culture of open, inclusive, community-driven neuroscience. | Neuron | 2021 |
| 33722670 | Decoding with confidence: Statistical control on decoder maps. | Neuroimage | 2021 |
| 34585237 | Preventing dataset shift from breaking machine-learning biomarkers. | Gigascience | 2021 |
| 34724000 | Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks. | PLoS One | 2021 |
| 34651172 | Population modeling with machine learning can enhance measures of mental health. | Gigascience | 2021 |
| 33939700 | Extracting representations of cognition across neuroimaging studies improves brain decoding. | PLoS Comput Biol | 2021 |
| 33368868 | Subject-specific segregation of functional territories based on deep phenotyping. | Hum Brain Mapp | 2021 |
| 32423528 | Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers. | Elife | 2020 |
| 31774490 | Establishment of Best Practices for Evidence for Prediction: A Review. | JAMA Psychiatry | 2020 |
| 33067452 | Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping. | Sci Data | 2020 |
| 32732967 | Patterns of autism symptoms: hidden structure in the ADOS and ADI-R instruments. | Transl Psychiatry | 2020 |
| 32673748 | Fine-grain atlases of functional modes for fMRI analysis. | Neuroimage | 2020 |
| 32439535 | Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states. | Neuroimage | 2020 |
| 32129761 | NeuroQuery, comprehensive meta-analysis of human brain mapping. | Elife | 2020 |
| 30513462 | Predictive models avoid excessive reductionism in cognitive neuroimaging. | Curr Opin Neurobiol | 2019 |
| 29993861 | Recursive Nearest Agglomeration (ReNA): Fast Clustering for Approximation of Structured Signals. | IEEE Trans Pattern Anal Mach Intell | 2019 |
| 31313451 | Brain-based ranking of cognitive domains to predict schizophrenia. | Hum Brain Mapp | 2019 |
| 30836146 | Benchmarking functional connectome-based predictive models for resting-state fMRI. | Neuroimage | 2019 |
| 30903965 | Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation. | Med Image Anal | 2019 |
| 28655633 | Cross-validation failure: Small sample sizes lead to large error bars. | Neuroimage | 2018 |
| 30018328 | Shared endo-phenotypes of default mode dsfunction in attention deficit/hyperactivity disorder and autism spectrum disorder. | Transl Psychiatry | 2018 |
| 29893753 | Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping. | Sci Data | 2018 |
| 30496171 | Atlases of cognition with large-scale human brain mapping. | PLoS Comput Biol | 2018 |
| 30375374 | Patterns of schizophrenia symptoms: hidden structure in the PANSS questionnaire. | Transl Psychiatry | 2018 |
| 30420501 | Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants. | Proc Natl Acad Sci U S A | 2018 |
| 29497357 | Inter-subject Registration of Functional Images: Do We Need Anatomical Images? | Front Neurosci | 2018 |
| 29105239 | Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function. | Hum Brain Mapp | 2018 |
| 29030104 | FReM - Scalable and stable decoding with fast regularized ensemble of models. | Neuroimage | 2018 |
| 28801250 | Decoding fMRI activity in the time domain improves classification performance. | Neuroimage | 2018 |
| 27777172 | Seeing it all: Convolutional network layers map the function of the human visual system. | Neuroimage | 2017 |
| 28278228 | BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. | PLoS Comput Biol | 2017 |
| 28327989 | Using and understanding cross-validation strategies. Perspectives on Saeb et al. | Gigascience | 2017 |
| 29743804 | Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging. | Inf Process Med Imaging | 2017 |
| 29795936 | Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-Sample Generalization. | Educ Psychol Meas | 2017 |
| 28971008 | Distinct alterations in Parkinson's medication-state and disease-state connectivity. | Neuroimage Clin | 2017 |
| 28676298 | Joint prediction of multiple scores captures better individual traits from brain images. | Neuroimage | 2017 |
| 27989847 | Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines. | Neuroimage | 2017 |
| 27865923 | Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example. | Neuroimage | 2017 |
| 27890805 | Predicting brain-age from multimodal imaging data captures cognitive impairment. | Neuroimage | 2017 |
| 25331601 | Identification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm. | Cereb Cortex | 2016 |