| P50 | author | Joseph C Griffis | Q85452349 |
| | Jerzy P Szaflarski | Q89585388 |
| | Jane B Allendorfer | Q114452459 |
| P2860 | cites work | Machine learning classifiers and fMRI: a tutorial overview | Q28310323 |
| | AFNI: software for analysis and visualization of functional magnetic resonance neuroimages | Q29547544 |
| | Unified segmentation | Q29616050 |
| | The neural architecture of the language comprehension network: converging evidence from lesion and connectivity analyses | Q30476887 |
| | Machine learning and radiology | Q34215535 |
| | Neuroimaging in aphasia treatment research: quantifying brain lesions after stroke | Q34356980 |
| | Statistical validation of image segmentation quality based on a spatial overlap index | Q34483158 |
| | Paul Broca's historic cases: high resolution MR imaging of the brains of Leborgne and Lelong | Q34615252 |
| | Somatosensory system in two types of motor reorganization in congenital hemiparesis: topography and function | Q34752145 |
| | Smoothness without smoothing: why Gaussian naive Bayes is not naive for multi-subject searchlight studies | Q34903053 |
| | Assessing the clinical effect of residual cortical disconnection after ischemic strokes | Q35857068 |
| | Common behavioral clusters and subcortical anatomy in stroke | Q36284906 |
| | A comparison of VLSM and VBM in a cohort of patients with post-stroke aphasia | Q37133607 |
| | An evaluation of traditional and novel tools for lesion behavior mapping | Q37155912 |
| | Voxel-based Bayesian lesion-symptom mapping | Q37394225 |
| | Spatial normalization of lesioned brains: performance evaluation and impact on fMRI analyses | Q39353349 |
| | Manual, semi-automated, and automated delineation of chronic brain lesions: a comparison of methods | Q39757881 |
| | Lesion identification using unified segmentation-normalisation models and fuzzy clustering | Q41790182 |
| | Voxel-based lesion-symptom mapping | Q44755220 |
| | Evaluation of voxel-based morphometry for focal lesion detection in individuals | Q47355230 |
| | Improving lesion-symptom mapping | Q48129927 |
| | Clinical usefulness of T2-weighted fluid-attenuated inversion recovery MR imaging of the CNS. | Q48292551 |
| | Translation of Broca's 1865 report. Localization of speech in the third left frontal convolution | Q48294588 |
| | Accuracy and reproducibility of manual and semiautomated quantification of MS lesions by MRI. | Q48384144 |
| | Extra tree forests for sub-acute ischemic stroke lesion segmentation in MR sequences | Q48436223 |
| | Analysis of automated methods for spatial normalization of lesioned brains | Q48674828 |
| | Lesion segmentation from multimodal MRI using random forest following ischemic stroke | Q48795835 |
| | Voxel-based morphometry of herpes simplex encephalitis | Q48913923 |
| | Lesion segmentation and manual warping to a reference brain: intra- and interobserver reliability. | Q52921126 |
| | On Different Kinds of Aphasia, with Special Reference to Their Classification and Ultimate Pathology | Q58773184 |
| P4510 | describes a project that uses | Bayes' theorem | Q182505 |
| P304 | page(s) | 97-108 | |
| P577 | publication date | 2015-09-30 | |
| P1433 | published in | Journal of Neuroscience Methods | Q15764020 |
| P1476 | title | Voxel-based Gaussian naïve Bayes classification of ischemic stroke lesions in individual T1-weighted MRI scans | |
| P478 | volume | 257 | |