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2017.09.17 - ATLAS (Anatomical Tracings of Lesions After Stroke) - Dataset Now Available

The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset
Now Available on ADDEP - September 12, 2017


The CLDR is pleased to present the Anatomical Tracings of Lesions after Stroke (ATLAS) dataset, now available through the Archive of Data on Disability to Enable Policy and research (ADDEP). ATLAS is a manually traced lesion dataset comprised of deidentified, raw T1-weighted MRI images of individuals after stroke and manually traced lesion masks. ATLAS provides the largest known, open source collection of manually traced lesion masks for researchers to use for testing and validation of new automated lesion segmentation algorithms and has the potential to be used in the development of powerful new tools for stroke neurorehabilitation and research. 

- Research Group Video

- Additional information can be found here: http://www.biorxiv.org/content/early/2017/08/26/179614

2017.09.17 - ATLAS (Anatomical Tracings of Lesions After Stroke) - Dataset Now Available

The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset
Now Available on ADDEP - September 12, 2017


The CLDR is pleased to present the Anatomical Tracings of Lesions after Stroke (ATLAS) dataset, now available through the Archive of Data on Disability to Enable Policy and research (ADDEP). ATLAS is a manually traced lesion dataset comprised of deidentified, raw T1-weighted MRI images of individuals after stroke and manually traced lesion masks. ATLAS provides the largest known, open source collection of manually traced lesion masks for researchers to use for testing and validation of new automated lesion segmentation algorithms and has the potential to be used in the development of powerful new tools for stroke neurorehabilitation and research. 

- Research Group Video

- Additional information can be found here: http://www.biorxiv.org/content/early/2017/08/26/179614


The CLDR is funded by the National Institutes of Health (grant# P2CHD065702). See About Us for more details.

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