| Assessing and tuning brain decoders: cross-validation, caveats, and guidelines G Varoquaux, PR Raamana, DA Engemann, A Hoyos-Idrobo, Y Schwartz, ... NeuroImage 145, 166-179, 2017 | 291 | 2017 |
| BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods KJ Gorgolewski, F Alfaro-Almagro, T Auer, P Bellec, M Capotă, ... PLoS computational biology 13 (3), e1005209, 2017 | 123 | 2017 |
| Automated detection of amnestic mild cognitive impairment in community-dwelling elderly adults: a combined spatial atrophy and white matter alteration approach Y Cui, W Wen, DM Lipnicki, MF Beg, JS Jin, S Luo, W Zhu, NA Kochan, ... Neuroimage 59 (2), 1209-1217, 2012 | 63 | 2012 |
| Three-class differential diagnosis among Alzheimer disease, frontotemporal dementia, and controls PR Raamana, H Rosen, B Miller, MW Weiner, L Wang, MF Beg Frontiers in neurology 5, 71, 2014 | 40 | 2014 |
| Thickness network features for prognostic applications in dementia PR Raamana, MW Weiner, L Wang, MF Beg, ... Neurobiology of aging 36, S91-S102, 2015 | 31 | 2015 |
| Comparison of four shape features for detecting hippocampal shape changes in early Alzheimer's MF Beg, PR Raamana, S Barbieri, L Wang Statistical methods in medical research 22 (4), 439-462, 2013 | 19 | 2013 |
| Human action recognition in table-top scenarios: an HMM-based analysis to optimize the performance PR Raamana, D Grest, V Krueger International Conference on Computer Analysis of Images and Patterns, 101-108, 2007 | 16* | 2007 |
| Novel ThickNet features for the discrimination of amnestic MCI subtypes PR Raamana, W Wen, NA Kochan, H Brodaty, PS Sachdev, L Wang, ... NeuroImage: Clinical 6, 284-295, 2014 | 14 | 2014 |
| Optimizing fMRI Preprocessing Pipelines for Block-Design Tasks as a Function of Age NW Churchill, PR Raamana, R Spring, SC Strother Neuroimage, 2017 | 13 | 2017 |
| The Sub-Classification of Amnestic Mild Cognitive Impairment Using MRI-Based Cortical Thickness Measures MF Raamana, Pradeep Reddy and Wen, Wei and Kochan, Nicole A and Brodaty ... Frontiers in Neurology 5 (76), 2014 | 12 | 2014 |
| Cleaning up the fMRI time series: Mitigating noise with advanced acquisition and correction strategies M Bright, K Murphy NeuroImage 154, 1-3, 2017 | 9 | 2017 |
| Predictive power of single-subject morphometric networks is insensitive to spatial scale and edge weight PR Raamana, SC Strother, Alzheimer’s Disease Neuroimaging Initiative bioRxiv, 170381, 2020 | 6* | 2020 |
| neuropredict: easy machine learning and standardized predictive analysis of biomarkers PR Raamana zenodo, 2017 | 5 | 2017 |
| Thickness network (thicknet) features for the detection of prodromal ad PR Raamana, L Wang, MF Beg, ... International Workshop on Machine Learning in Medical Imaging, 114-122, 2013 | 5 | 2013 |
| graynet: single-subject morphometric networks for neuroscience connectivity applications PR Raamana, SC Strother | 4 | 2018 |
| Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience PR Raamana, SC Strother Journal of Open Source Software 2 (19), 380, 2017 | 4 | 2017 |
| Differential diagnosis among Alzheimer's disease, frontotemporal disease and healthy aging: Comparative study using subcortical features P Raamana, L Wang, H Rosen, B Miller, M Weiner, MF Beg Alzheimer's & Dementia 4 (8), P163-P164, 2012 | 4 | 2012 |
| Python class defining a machine learning dataset ensuring key-based correspondence and maintaining integrity PR Raamana, SC Strother Journal of Open Source Software 2 (17), 382, 2017 | 3 | 2017 |
| mrivis: Medical image visualization library for neuroscience in python PR Raamana, SC Strother Journal of Open Source Software 3 (30), 897, 2018 | 2 | 2018 |
| Thickness Network (ThickNet) Features for Prognostic Applications in Dementia P Raamana, MW Weiner, L Wang, MF Beg Neurobiology of Aging,(To Appear), 2014 | 1 | 2014 |
Mirza Faisal BegProfessor, School of Engineering ScienceVerified email at sfu.ca
