| scholarly article | Q13442814 |
| P2093 | author name string | Elliot A Stein | |
| Thomas J Ross | |||
| Yihong Yang | |||
| Xiaoyu Ding | |||
| P2860 | cites work | Mapping the structural core of human cerebral cortex | Q21145869 |
| Neuropsychosocial profiles of current and future adolescent alcohol misusers | Q24289323 | ||
| Passive smoking and risk of coronary heart disease and stroke: prospective study with cotinine measurement | Q24562313 | ||
| Damage to the insula disrupts addiction to cigarette smoking | Q24605252 | ||
| Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain | Q25855787 | ||
| Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications | Q26823158 | ||
| The insula: a critical neural substrate for craving and drug seeking under conflict and risk | Q26859801 | ||
| Voxel-based morphometry–the methods | Q28138780 | ||
| Differences between smokers and nonsmokers in regional gray matter volumes and densities | Q28237151 | ||
| The effects of tobacco smoke and nicotine on cognition and the brain | Q28240201 | ||
| A fast diffeomorphic image registration algorithm | Q28243996 | ||
| Multivariate voxel-based morphometry successfully differentiates schizophrenia patients from healthy controls | Q28268729 | ||
| Dissociable intrinsic connectivity networks for salience processing and executive control | Q28290658 | ||
| The Fagerström Test for Nicotine Dependence: a revision of the Fagerström Tolerance Questionnaire | Q29615435 | ||
| Unified segmentation | Q29616050 | ||
| Association of nicotine addiction and nicotine's actions with separate cingulate cortex functional circuits | Q30482251 | ||
| Prediction as a humanitarian and pragmatic contribution from human cognitive neuroscience | Q30883311 | ||
| Network scaling effects in graph analytic studies of human resting-state FMRI data | Q33622400 | ||
| Predictive models of autism spectrum disorder based on brain regional cortical thickness | Q33663988 | ||
| Structural brain changes in aging: courses, causes and cognitive consequences. | Q33705818 | ||
| Machine learning classification of resting state functional connectivity predicts smoking status | Q33760256 | ||
| Machine-learning techniques for building a diagnostic model for very mild dementia | Q34051395 | ||
| Factors underlying prefrontal and insula structural alterations in smokers | Q34233349 | ||
| Impact of smoking on cognitive decline in early old age: the Whitehall II cohort study | Q34252519 | ||
| Mecamylamine combined with nicotine skin patch facilitates smoking cessation beyond nicotine patch treatment alone | Q34330346 | ||
| Current smoking and reduced gray matter volume-a voxel-based morphometry study | Q34393063 | ||
| Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. | Q34598134 | ||
| Changes of Functional and Effective Connectivity in Smoking Replenishment on Deprived Heavy Smokers: A Resting-State fMRI Study | Q34635028 | ||
| The epidemiology of smoking: health consequences and benefits of cessation | Q34730787 | ||
| The efficacy of computer-delivered treatment for smoking cessation. | Q35093854 | ||
| Multivariate searchlight classification of structural magnetic resonance imaging in children and adolescents with autism | Q35317883 | ||
| Resting state functional connectivity in addiction: Lessons learned and a road ahead | Q36107503 | ||
| Systemic effects of smoking | Q36818050 | ||
| Brain activity in cigarette smokers performing a working memory task: effect of smoking abstinence | Q37412764 | ||
| The sentient self | Q37761655 | ||
| The economy of brain network organization | Q38002308 | ||
| Fast and robust parameter estimation for statistical partial volume models in brain MRI. | Q39692738 | ||
| Prognostic prediction of therapeutic response in depression using high-field MR imaging | Q39809051 | ||
| Differences between smokers and non-smokers in regional gray matter volumes: a voxel-based morphometry study | Q39845025 | ||
| Hippocampal and striatal gray matter volume are associated with a smoking cessation treatment outcome: results of an exploratory voxel-based morphometric analysis | Q39878966 | ||
| Current cigarette smoking among adults - United States, 2005-2012. | Q45386693 | ||
| Can neuroimaging be used as a support to diagnosis of borderline personality disorder? An approach based on computational neuroanatomy and machine learning. | Q45960526 | ||
| Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns. | Q45964486 | ||
| Use of SVM methods with surface-based cortical and volumetric subcortical measurements to detect Alzheimer's disease. | Q48350578 | ||
| Whole-brain anatomical networks: does the choice of nodes matter? | Q48367641 | ||
| Smoking and structural brain deficits: a volumetric MR investigation | Q48412093 | ||
| Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach | Q48484344 | ||
| Classification of schizophrenia patients and healthy controls from structural MRI scans in two large independent samples | Q48565958 | ||
| Statistical approach to segmentation of single-channel cerebral MR images | Q48749287 | ||
| Female children with autism spectrum disorder: an insight from mass-univariate and pattern classification analyses. | Q48914106 | ||
| Probabilistic diffusion tractography and graph theory analysis reveal abnormal white matter structural connectivity networks in drug-naive boys with attention deficit/hyperactivity disorder | Q50703313 | ||
| Individual voxel-based subtype prediction can differentiate progressive supranuclear palsy from idiopathic Parkinson syndrome and healthy controls | Q51611806 | ||
| Support-vector networks | Q55922708 | ||
| Gene Selection for Cancer Classification using Support Vector Machines | Q56535529 | ||
| A Tutorial on Support Vector Machines for Pattern Recognition | Q56885196 | ||
| Acceptance-based treatment for smoking cessation | Q59490961 | ||
| Maximum-uncertainty linear discrimination analysis of first-episode schizophrenia subjects | Q59854069 | ||
| LIBSVM | Q60241042 | ||
| Gender effects on age-related changes in brain structure | Q73434449 | ||
| P4510 | describes a project that uses | support vector machine | Q282453 |
| P433 | issue | 12 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | support vector machine | Q282453 |
| multivariate statistics | Q1952580 | ||
| P1104 | number of pages | 11 | |
| P304 | page(s) | 4869-4879 | |
| P577 | publication date | 2015-10-24 | |
| P1433 | published in | Human Brain Mapping | Q5936947 |
| P1476 | title | Multivariate classification of smokers and nonsmokers using SVM-RFE on structural MRI images | |
| P478 | volume | 36 |
| Q97646064 | A New Method Based on CEEMD Combined With Iterative Feature Reduction for Aided Diagnosis of Epileptic EEG |
| Q52564176 | A Novel Approach to the Identification of Compromised Pulmonary Systems in Smokers by Exploiting Tidal Breathing Patterns. |
| Q47891782 | Alteration of gray matter texture features over the whole brain in medication-overuse headache using a 3-dimentional texture analysis |
| Q37653485 | Altered functional connectivity architecture of the brain in medication overuse headache using resting state fMRI |
| Q38658936 | Combining Multiple Resting-State fMRI Features during Classification: Optimized Frameworks and Their Application to Nicotine Addiction |
| Q55668323 | Decision Variants for the Automatic Determination of Optimal Feature Subset in RF-RFE. |
| Q61454708 | Discrimination of smoking status by MRI based on deep learning method |
| Q37605544 | Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images |
| Q50631658 | Hick-Hyman Law is Mediated by the Cognitive Control Network in the Brain |
| Q59135280 | Structural and functional brain abnormalities in drug-naive, first-episode, and chronic patients with schizophrenia: a multimodal MRI study |
| Q94566937 | Towards a brain-based predictome of mental illness |
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