Andreas Rauschecker

@DrDreMDPhD

Neuroradiology Fellow at ; loves the brain; also big proponent of travel, computers doing our work for us, and the Oxford comma.

Vrijeme pridruživanja: kolovoz 2015.

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  1. Prikvačeni tweet
    25. srp 2019.

    Check out our algorithm to auto-detect brain MRI lesions across many diseases. We hope this tool makes measurements more reproducible/accurate/efficient!

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  2. proslijedio/la je Tweet
    20. pro 2019.

    Just published - Our work using 3D convolutional neural networks for multiclass tissue segmentation of brain tumors and white matter hyperintensities

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  3. proslijedio/la je Tweet
    18. stu 2019.

    On November 20, Drs. & will host a event on using technology to address neurological disease. Attend in-person in 's Mission Hall, Rm 1407, or via zoom at . RSVP by 11/18 here -- >

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  5. proslijedio/la je Tweet
    14. stu 2019.

    Congratulations to , Dr. Alex Mamourian and the Center for Practice Transformation team, awarded a 2019 Imaging Innovation Award from , for their work reducing GCBAs in follow up studies for patients with :

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  6. proslijedio/la je Tweet
    13. stu 2019.

    to be appointed to the TEB board along with my amazing cofellows and ! Ready to review papers and help to shape the future of AI in Radiology!

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  7. 5. stu 2019.

    Leading the way in using reason, caution, and mindful approach to in . Wise advice by at today!

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  8. proslijedio/la je Tweet
    5. stu 2019.

    Great presentation by on the effect of MTHFR on white matter hyperintensities

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  9. proslijedio/la je Tweet
    5. stu 2019.
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    Thanks & for inviting me to speak at 2nd Symposium on Health Disparities ! It’s the only meeting that focuses exclusively peds . I’m honored to be included & excited to meet new collaborators!

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  11. 4. stu 2019.

    Excellent talk by ‘s Leo Sugrue, head of , in how we can make use of in understanding and diseases and helping individual patients. Packed audience

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  12. 3. stu 2019.

    Excellent early morning talk by showing how we can adapt neural nets for patients in the real world, where more than one disease may coexist.

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  13. 1. stu 2019.

    Great straightforward explanation of the possible dangers of “denoising” AI algorithms. I‘d go further to say that the most relevant disease findings on imaging are the unexpected (out-of-training) ones. So let’s be cautiously optimistic (mostly cautious) about this technology.

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  14. proslijedio/la je Tweet
    24. lis 2019.

    Excellent talks by and at the UC wide AI conference

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  15. proslijedio/la je Tweet
    13. lis 2019.

    Excited to launch this important multidisciplinary initiative . Clinical adoption of in Radiology will require asking the right questions, a willingness to redefine imaging workflow, and a constant focus on value and patient experience.

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  16. proslijedio/la je Tweet
    11. lis 2019.

    . is launching a new center to accelerate the application of technology to , leveraging advanced computational techniques & industry collaborations to improve patient diagnoses & care.

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  17. proslijedio/la je Tweet
    24. ruj 2019.

    Physician scientists are critical to and . They ask the right questions, cultivate transdisciplinary perspective, and move science into practice to make a difference for patients.

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  18. proslijedio/la je Tweet
    5. ruj 2019.

    "Coming up with a solution without fully understanding the problem is quite difficult" @lenawine comments in ʻs Global Reach: Improving Treatment for Migrant Children in America

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  19. proslijedio/la je Tweet
    28. kol 2019.

    Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging |

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  20. proslijedio/la je Tweet
    24. kol 2019.

    Review Artificial intelligence for precision education in radiology

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