Search Results - "Helmer, Karl G"

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    NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query by Queder, Nazek, Tien, Vivian B, Abraham, Sanu Ann, Urchs, Sebastian Georg Wenzel, Helmer, Karl G, Chaplin, Derek, van Erp, Theo G M, Kennedy, David N, Poline, Jean-Baptiste, Grethe, Jeffrey S, Ghosh, Satrajit S, Keator, David B

    Published in Frontiers in neuroinformatics (18-07-2023)
    “…The biomedical research community is motivated to share and reuse data from studies and projects by funding agencies and publishers. Effectively combining and…”
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    Data sharing in neuroimaging research by Poline, Jean-Baptiste, Breeze, Janis L, Ghosh, Satrajit, Gorgolewski, Krzysztof, Halchenko, Yaroslav O, Hanke, Michael, Haselgrove, Christian, Helmer, Karl G, Keator, David B, Marcus, Daniel S, Poldrack, Russell A, Schwartz, Yannick, Ashburner, John, Kennedy, David N

    Published in Frontiers in neuroinformatics (01-01-2012)
    “…Significant resources around the world have been invested in neuroimaging studies of brain function and disease. Easier access to this large body of work…”
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    Characterization of Diffusion Metric Map Similarity in Data From a Clinical Data Repository Using Histogram Distances by Warner, Graham C, Helmer, Karl G

    Published in Frontiers in neuroscience (08-03-2018)
    “…As the sharing of data is mandated by funding agencies and journals, reuse of data has become more prevalent. It becomes imperative, therefore, to develop…”
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    The Neuroimaging Data Model Linear Regression Tool (nidm_linreg): PyNIDM Project [version 1; peer review: 1 approved with reservations, 1 not approved] by Kumar, Ashmita, Crowley, Albert, Queder, Nazek, Poline, JB, Ghosh, Satrajit S, Kennedy, David, Grethe, Jeffrey S, Helmer, Karl G, Keator, David B

    Published in F1000 research (2022)
    “…The Neuroimaging Data Model (NIDM) is a series of specifications for describing all aspects of the neuroimaging data lifecycle from raw data to analyses and…”
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    Separating changes in the intra- and extracellular water apparent diffusion coefficient following focal cerebral ischemia in the rat brain by Silva, Matthew D., Omae, Tsuyoshi, Helmer, Karl G., Li, Fuhai, Fisher, Marc, Sotak, Christopher H.

    Published in Magnetic resonance in medicine (01-11-2002)
    “…Selective intracellular (IC) and extracellular (EC) brain water apparent diffusion coefficient (ADC) values were measured in normal and ischemic rat brain…”
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    Transformer-based deep learning denoising of single and multi-delay 3D arterial spin labeling by Shou, Qinyang, Zhao, Chenyang, Shao, Xingfeng, Jann, Kay, Kim, Hosung, Helmer, Karl G, Lu, Hanzhang, Wang, Danny J J

    Published in Magnetic resonance in medicine (01-02-2024)
    “…To present a Swin Transformer-based deep learning (DL) model (SwinIR) for denoising single-delay and multi-delay 3D arterial spin labeling (ASL) and compare…”
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    Microstructural status of ipsilesional and contralesional corticospinal tract correlates with motor skill in chronic stroke patients by Schaechter, Judith D., Fricker, Zachary P., Perdue, Katherine L., Helmer, Karl G., Vangel, Mark G., Greve, Douglas N., Makris, Nikos

    Published in Human brain mapping (01-11-2009)
    “…Greater loss in structural integrity of the ipsilesional corticospinal tract (CST) is associated with poorer motor outcome in patients with hemiparetic stroke…”
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    Multispectral tissue characterization in a RIF-1 tumor model: Monitoring the ADC and T2 responses to single-dose radiotherapy. Part II by Henning, Erica C., Azuma, Chieko, Sotak, Christopher H., Helmer, Karl G.

    Published in Magnetic resonance in medicine (01-03-2007)
    “…A multispectral (MS) approach that combines apparent diffusion coefficient (ADC) and T2 parameter maps with k‐means (KM) clustering was employed to distinguish…”
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    Regional white matter volume differences in nondemented aging and Alzheimer's disease by Salat, David H., Greve, Douglas N., Pacheco, Jennifer L., Quinn, Brian T., Helmer, Karl G., Buckner, Randy L., Fischl, Bruce

    Published in NeuroImage (Orlando, Fla.) (15-02-2009)
    “…Accumulating evidence suggests that altered cerebral white matter (WM) influences normal aging, and further that WM degeneration may modulate the clinical…”
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