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Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

PloS one, 2015-12, Vol.10 (12), p.e0145118-e0145118

2015

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Influence of Stroke Infarct Location on Functional Outcome Measured by the Modified Rankin Scale

Stroke (1970), 2014-06, Vol.45 (6), p.1695-1702

2014

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Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features

PloS one, 2020-01, Vol.15 (1), p.e0228113-e0228113

2020

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Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients

PloS one, 2015-06, Vol.10 (6), p.e0129569-e0129569

2015

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Spatial normalization for voxel-based lesion symptom mapping: impact of registration approaches

Frontiers in neuroscience, 2024, Vol.18, p.1296357-1296357

2024

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Correction: Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features

PloS one, 2020-03, Vol.15 (3), p.e0230653-e0230653

2020

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Increased perfusion in normal appearing white matter in high inflammatory multiple sclerosis patients

PloS one, 2015-03, Vol.10 (3), p.e0119356-e0119356

2015

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Automatic classification of major depression disorder using arterial spin labeling MRI perfusion measurements

Psychiatry and clinical neurosciences, 2019-08, Vol.73 (8), p.486-493

2019

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CT-perfusion stroke imaging: a threshold free probabilistic approach to predict infarct volume compared to traditional ischemic thresholds

Scientific reports, 2017-07, Vol.7 (1), p.6679-10, Article 6679

2017

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Stroke subtype classification by geometrical descriptors of lesion shape

PloS one, 2017-12, Vol.12 (12), p.e0185063-e0185063

2017

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Persistent Hemodynamic Changes in Ruptured Brain Arteriovenous Malformations

Stroke (1970), 2012-11, Vol.43 (11), p.2910-2915

2012

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Correction: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

PloS one, 2016-02, Vol.11 (2), p.e0149828-e0149828

2016

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Cerebral Hemodynamics in Patients with Hemolytic Uremic Syndrome Assessed by Susceptibility Weighted Imaging and Four-Dimensional Non-Contrast MR Angiography

PloS one, 2016-11, Vol.11 (11), p.e0164863-e0164863

2016

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Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients

Stroke and vascular neurology, 2022-04, Vol.7 (2), p.124-131

2022

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Correction: Cerebral Hemodynamics in Patients with Hemolytic Uremic Syndrome Assessed by Susceptibility Weighted Imaging and Four-Dimensional Non-Contrast MR Angiography

PloS one, 2017-02, Vol.12 (2), p.e0172450-e0172450

2017

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Correction: Increased Perfusion in Normal Appearing White Matter in High Inflammatory Multiple Sclerosis Patients

PloS one, 2015-11, Vol.10 (11), p.e0142464-e0142464

2015

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Localized Statistical Shape Models for Large-Scale Problems With Few Training Data

IEEE transactions on biomedical engineering, 2022-09, Vol.69 (9), p.2947-2957

2022

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Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: A Retrospective Observational Study (Preprint)

Journal of medical Internet research, 2023-09

2023

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Multivariate Dynamic Prediction of Ischemic Infarction and Tissue Salvage as a Function of Time and Degree of Recanalization

Journal of cerebral blood flow and metabolism, 2015-09, Vol.35 (9), p.1397-1405

2015

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Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets

Machine Learning in Medical Imaging, p.63-69

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Physical Activity Participation and Barriers for Children and Adolescents with Disabilities

International journal of disability, development, and education, 2022-01, Vol.69 (1), p.204-216

2022

Volltextzugriff (PDF)

Risk Factors for Perinatal Arterial Ischemic Stroke: A Machine Learning Approach

Neurology, 2024-06, Vol.102 (11), p.e209393

2024

Volltextzugriff (PDF)

F103. Using Multimodal Neuroimaging and Machine Learning to Determine Response to Subcallosal Cingulate Deep Brain Stimulation (SCC-DBS) for Depression

Biological psychiatry (1969), 2019-05, Vol.85 (10), p.S252-S253

2019

Volltextzugriff (PDF)

Abstract TP171: Eloquence of White Matter Tracts in Acute Ischemic Stroke Patients

Stroke (1970), 2019-02, Vol.50 (Suppl_1)

2019

Volltextzugriff (PDF)

Automatic Temporal Segmentation of Vessels of the Brain Using 4D ASL MRA Images

IEEE transactions on biomedical engineering, 2018-07, Vol.65 (7), p.1486-1494

2018

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Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

Influence of Stroke Infarct Location on Functional Outcome Measured by the Modified Rankin Scale

Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features

Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients

Spatial normalization for voxel-based lesion symptom mapping: impact of registration approaches

Correction: Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features

Increased perfusion in normal appearing white matter in high inflammatory multiple sclerosis patients

Automatic classification of major depression disorder using arterial spin labeling MRI perfusion measurements

CT-perfusion stroke imaging: a threshold free probabilistic approach to predict infarct volume compared to traditional ischemic thresholds

Stroke subtype classification by geometrical descriptors of lesion shape

Persistent Hemodynamic Changes in Ruptured Brain Arteriovenous Malformations

Correction: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

Cerebral Hemodynamics in Patients with Hemolytic Uremic Syndrome Assessed by Susceptibility Weighted Imaging and Four-Dimensional Non-Contrast MR Angiography

Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients

Correction: Cerebral Hemodynamics in Patients with Hemolytic Uremic Syndrome Assessed by Susceptibility Weighted Imaging and Four-Dimensional Non-Contrast MR Angiography

Correction: Increased Perfusion in Normal Appearing White Matter in High Inflammatory Multiple Sclerosis Patients

Localized Statistical Shape Models for Large-Scale Problems With Few Training Data

Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: A Retrospective Observational Study (Preprint)

Multivariate Dynamic Prediction of Ischemic Infarction and Tissue Salvage as a Function of Time and Degree of Recanalization

Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets

Physical Activity Participation and Barriers for Children and Adolescents with Disabilities

Risk Factors for Perinatal Arterial Ischemic Stroke: A Machine Learning Approach

F103. Using Multimodal Neuroimaging and Machine Learning to Determine Response to Subcallosal Cingulate Deep Brain Stimulation (SCC-DBS) for Depression

Abstract TP171: Eloquence of White Matter Tracts in Acute Ischemic Stroke Patients

Automatic Temporal Segmentation of Vessels of the Brain Using 4D ASL MRA Images

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