Search Results - "SOBESKY, Jan"
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A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease
Published in Frontiers in neuroscience (28-02-2019)“…Brain vessel status is a promising biomarker for better prevention and treatment in cerebrovascular disease. However, classic rule-based vessel segmentation…”
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Boosted Tree Model Reforms Multimodal Magnetic Resonance Imaging Infarct Prediction in Acute Stroke
Published in Stroke (1970) (01-04-2018)“…BACKGROUND AND PURPOSE—Stroke imaging is pivotal for diagnosis and stratification of patients with acute ischemic stroke to treatment. The potential of…”
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3
Perfusion parameter map generation from TOF-MRA in stroke using generative adversarial networks
Published in NeuroImage (Orlando, Fla.) (01-09-2024)“…•We developed an artificial intelligence model that generates 5 perfusion parameter maps from time-of-flight magnetic resonance angiography using…”
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Prediction of malignant middle cerebral artery infarction by magnetic resonance imaging within 6 hours of symptom onset: A prospective multicenter observational study
Published in Annals of neurology (01-10-2010)“…Objective Early identification of patients at risk of space‐occupying “malignant” middle cerebral artery (MCA) infarction (MMI) is needed to enable timely…”
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BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease
Published in Frontiers in artificial intelligence (25-09-2020)“…Arterial brain vessel assessment is crucial for the diagnostic process in patients with cerebrovascular disease. Non-invasive neuroimaging techniques, such as…”
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6
Development and Validation of a Dispatcher Identification Algorithm for Stroke Emergencies
Published in Stroke (1970) (01-03-2012)“…Recent innovations such as CT installation in ambulances may lead to earlier start of stroke-specific treatments. However, such technically complex mobile…”
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Rapid parametric mapping of the longitudinal relaxation time T1 using two-dimensional variable flip angle magnetic resonance imaging at 1.5 Tesla, 3 Tesla, and 7 Tesla
Published in PloS one (12-03-2014)“…Visual but subjective reading of longitudinal relaxation time (T1) weighted magnetic resonance images is commonly used for the detection of brain pathologies…”
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8
Personalised simulation of hemodynamics in cerebrovascular disease: lessons learned from a study of diagnostic accuracy
Published in Frontiers in neurology (12-09-2023)“…Intracranial atherosclerotic disease (ICAD) poses a significant risk of subsequent stroke but current prevention strategies are limited. Mechanistic…”
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Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular disease
Published in Frontiers in neurology (10-01-2023)“…Stroke is a major cause of death or disability. As imaging-based patient stratification improves acute stroke therapy, dynamic susceptibility contrast magnetic…”
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10
A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease
Published in Biomedical engineering online (01-05-2021)“…Cerebrovascular disease, in particular stroke, is a major public health challenge. An important biomarker is cerebral hemodynamics. To measure and quantify…”
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Influence of acute complications on outcome 3 months after ischemic stroke
Published in PloS one (24-09-2013)“…Early medical complications are potentially modifiable factors influencing in-hospital outcome. We investigated the influence of acute complications on…”
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Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease
Published in Frontiers in neurology (17-10-2022)“…Brain arteries are routinely imaged in the clinical setting by various modalities, e.g., time-of-flight magnetic resonance angiography (TOF-MRA). These imaging…”
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13
Collateral Activation of the Early Temporal Branch - A Neurosonological Sign of Distal M1 Middle Cerebral Artery Occlusion
Published in Ultrasound international open (01-09-2020)Get full text
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14
A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch
Published in NeuroImage clinical (01-01-2023)“…When time since stroke onset is unknown, DWI-FLAIR mismatch rating is an established technique for patient stratification. A visible DWI lesion without…”
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15
Comparison of the 2 Most Popular Deconvolution Techniques for the Detection of Penumbral Flow in Acute Stroke
Published in Stroke (1970) (01-10-2015)“…BACKGROUND AND PURPOSE—Dynamic susceptibility–weighted contrast–enhanced (DSC) magnetic resonance imaging (MRI) is used to identify the tissue-at-risk in acute…”
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Ultrahigh-field MRI in human ischemic stroke--a 7 tesla study
Published in PloS one (31-05-2012)“…Magnetic resonance imaging (MRI) using field strengths up to 3 Tesla (T) has proven to be a powerful tool for stroke diagnosis. Recently, ultrahigh-field (UHF)…”
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Clinical evaluation of an arterial-spin-labeling product sequence in steno-occlusive disease of the brain
Published in PloS one (06-02-2014)“…In brain perfusion imaging, arterial spin labeling (ASL) is a noninvasive alternative to dynamic susceptibility contrast-magnetic resonance imaging (DSC-MRI)…”
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18
Identifying thresholds for penumbra and irreversible tissue damage
Published in Stroke (1970) (01-11-2004)“…Diffusion-weighted MRI (DWI) in combination with perfusion-weighted MRI (PWI) has become a widely accepted modality for the selection of patients amenable for…”
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DWI intensity values predict FLAIR lesions in acute ischemic stroke
Published in PloS one (21-03-2014)“…In acute stroke, the DWI-FLAIR mismatch allows for the allocation of patients to the thrombolysis window (<4.5 hours). FLAIR-lesions, however, may be…”
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Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks
Published in Frontiers in artificial intelligence (02-05-2022)“…Sharing labeled data is crucial to acquire large datasets for various Deep Learning applications. In medical imaging, this is often not feasible due to privacy…”
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