Search Results - "Rauschecker, Andreas M"

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  1. 1

    Emerging Applications of Artificial Intelligence in Neuro-Oncology by Rudie, Jeffrey D, Rauschecker, Andreas M, Bryan, R Nick, Davatzikos, Christos, Mohan, Suyash

    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. 2

    Anatomy of the visual word form area: Adjacent cortical circuits and long-range white matter connections by Yeatman, Jason D., Rauschecker, Andreas M., Wandell, Brian A.

    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. 3

    Artificial intelligence for precision education in radiology by Duong, Michael Tran, Rauschecker, Andreas M, Rudie, Jeffrey D, Chen, Po-Hao, Cook, Tessa S, Bryan, R Nick, Mohan, Suyash

    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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    Neuroimaging of Dilated Perivascular Spaces: From Benign and Pathologic Causes to Mimics by Rudie, Jeffrey D., Rauschecker, Andreas M., Nabavizadeh, Seyed A., Mohan, Suyash

    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 by Chen, Joshua V., Li, Yi, Tang, Felicia, Chaudhari, Gunvant, Lew, Christopher, Lee, Amanda, Rauschecker, Andreas M., Haskell-Mendoza, Aden P., Wu, Yvonne W., Calabrese, Evan

    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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    Learning to See Words by WANDELL, Brian A, RAUSCHECKER, Andreas M, YEATMAN, Jason D

    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 by Rauschecker, Andreas M, Bowen, Reno F, Parvizi, Josef, Wandell, Brian A

    “…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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  8. 8

    3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies by Wahlig, Stephen G., Nedelec, Pierre, Weiss, David A., Rudie, Jeffrey D., Sugrue, Leo P., Rauschecker, Andreas M.

    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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    Differences in educational opportunity predict white matter development by Roy, Ethan, Van Rinsveld, Amandine, Nedelec, Pierre, Richie-Halford, Adam, Rauschecker, Andreas M., Sugrue, Leo P., Rokem, Ariel, McCandliss, Bruce D., Yeatman, Jason D.

    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 by Rudie, Jeffrey D, Weiss, David A, Saluja, Rachit, Rauschecker, Andreas M, Wang, Jiancong, Sugrue, Leo, Bakas, Spyridon, Colby, John B

    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. 12

    White matter and literacy: A dynamic system in flux by Roy, Ethan, Richie-Halford, Adam, Kruper, John, Narayan, Manjari, Bloom, David, Nedelec, Pierre, Rauschecker, Andreas M, Sugrue, Leo P, Brown, Timothy T, Jernigan, Terry L, McCandliss, Bruce D, Rokem, Ariel, Yeatman, Jason D

    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. 13

    Visual Feature-Tolerance in the Reading Network by Rauschecker, Andreas M., Bowen, Reno F., Perry, Lee M., Kevan, Alison M., Dougherty, Robert F., Wandell, Brian A.

    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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    Automated multiclass tissue segmentation of clinical brain MRIs with lesions by Weiss, David A., Saluja, Rachit, Xie, Long, Gee, James C., Sugrue, Leo P, Pradhan, Abhijeet, Nick Bryan, R., Rauschecker, Andreas M., Rudie, Jeffrey D.

    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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    Reducing Gadolinium Contrast With Artificial Intelligence by Tsui, Brian, Calabrese, Evan, Zaharchuk, Greg, Rauschecker, Andreas M.

    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 by Rauschecker, Andreas M, Dastjerdi, Mohammad, Weiner, Kevin S, Witthoft, Nathan, Chen, Janice, Selimbeyoglu, Aslihan, Parvizi, Josef

    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 by Rauschecker, Andreas M, Rudie, Jeffrey D, Xie, Long, Wang, Jiancong, Duong, Michael Tran, Botzolakis, Emmanuel J, Kovalovich, Asha M, Egan, John, Cook, Tessa C, Bryan, R Nick, Nasrallah, Ilya M, Mohan, Suyash, Gee, James C

    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 by Winawer, Jonathan, Kay, Kendrick N., Foster, Brett L., Rauschecker, Andreas M., Parvizi, Josef, Wandell, Brian A.

    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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