Search Results - "Rauschecker, Andreas M"
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Emerging Applications of Artificial Intelligence in Neuro-Oncology
Published in Radiology (01-03-2019)“…Due to the exponential growth of computational algorithms, artificial intelligence (AI) methods are poised to improve the precision of diagnostic and…”
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2
Anatomy of the visual word form area: Adjacent cortical circuits and long-range white matter connections
Published in Brain and language (01-05-2013)“…[Display omitted] ► We describe the cortical architecture and white matter tracts of the visual word form area (VWFA). ► The VWFA is adjacent to visual field…”
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3
Artificial intelligence for precision education in radiology
Published in British journal of radiology (01-11-2019)“…In the era of personalized medicine, the emphasis of health care is shifting from populations to individuals. Artificial intelligence (AI) is capable of…”
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4
Neuroimaging of Dilated Perivascular Spaces: From Benign and Pathologic Causes to Mimics
Published in Journal of neuroimaging (01-03-2018)“…ABSTRACT Perivascular spaces (PVSs), also known as Virchow‐Robin spaces, are pial‐lined, fluid‐filled structures found in characteristic locations throughout…”
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Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset
Published in Scientific reports (26-02-2024)“…Brain extraction, or skull-stripping, is an essential data preprocessing step for machine learning approaches to brain MRI analysis. Currently, there are…”
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6
Learning to See Words
Published in Annual review of psychology (01-01-2012)“…Skilled reading requires recognizing written words rapidly; functional neuroimaging research has clarified how the written word initiates a series of responses…”
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Position sensitivity in the visual word form area
Published in Proceedings of the National Academy of Sciences - PNAS (12-06-2012)“…Seeing words involves the activity of neural circuitry within a small region in human ventral temporal cortex known as the visual word form area (VWFA). It is…”
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3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies
Published in Frontiers in neuroscience (27-10-2023)“…Background and purpose Deep learning algorithms for segmentation of multiple sclerosis (MS) plaques generally require training on large datasets. This…”
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Differential electrophysiological response during rest, self-referential, and non-self-referential tasks in human posteromedial cortex
Published in Proceedings of the National Academy of Sciences - PNAS (15-02-2011)“…The electrophysiological basis for higher brain activity during rest and internally directed cognition within the human default mode network (DMN) remains…”
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10
Differences in educational opportunity predict white matter development
Published in Developmental cognitive neuroscience (01-06-2024)“…Coarse measures of socioeconomic status, such as parental income or parental education, have been linked to differences in white matter development. However,…”
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Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network
Published in Frontiers in computational neuroscience (20-12-2019)“…An important challenge in segmenting real-world biomedical imaging data is the presence of multiple disease processes within individual subjects. Most adults…”
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12
White matter and literacy: A dynamic system in flux
Published in Developmental cognitive neuroscience (01-02-2024)“…Cross-sectional studies have linked differences in white matter tissue properties to reading skills. However, past studies have reported a range of, sometimes…”
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13
Visual Feature-Tolerance in the Reading Network
Published in Neuron (Cambridge, Mass.) (08-09-2011)“…A century of neurology and neuroscience shows that seeing words depends on ventral occipital-temporal (VOT) circuitry. Typically, reading is learned using…”
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An Integrated Analysis of Clinical, Genomic, and Imaging Features Reveals Predictors of Neurocognitive Outcomes in a Longitudinal Cohort of Pediatric Cancer Survivors, Enriched with CNS Tumors (Rad ART Pro)
Published in Frontiers in oncology (23-06-2022)“…Background Neurocognitive deficits in pediatric cancer survivors occur frequently; however, individual outcomes are unpredictable. We investigate clinical,…”
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15
Automated multiclass tissue segmentation of clinical brain MRIs with lesions
Published in NeuroImage clinical (01-01-2021)“…•A U-Net incorporating spatial prior information can successfully segment 6 brain tissue types.•The U-Net was able to segment gray and white matter in the…”
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Standardizing qualitative assessments of developing myelination on brain MRI
Published in European journal of paediatric neurology (01-09-2024)Get full text
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17
Reducing Gadolinium Contrast With Artificial Intelligence
Published in Journal of magnetic resonance imaging (01-09-2024)“…Gadolinium contrast is an important agent in magnetic resonance imaging (MRI), particularly in neuroimaging where it can help identify blood–brain barrier…”
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Illusions of visual motion elicited by electrical stimulation of human MT complex
Published in PloS one (13-07-2011)“…Human cortical area MT(+) (hMT(+)) is known to respond to visual motion stimuli, but its causal role in the conscious experience of motion remains largely…”
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Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI
Published in Radiology (01-06-2020)“…Background Although artificial intelligence (AI) shows promise across many aspects of radiology, the use of AI to create differential diagnoses for rare and…”
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Asynchronous Broadband Signals Are the Principal Source of the BOLD Response in Human Visual Cortex
Published in Current biology (08-07-2013)“…Activity in the living human brain can be studied using multiple methods, spanning a wide range of spatial and temporal resolutions. We investigated the…”
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