Jeff Rudie, MD PhD

@RadRudie

Neuroradiology Fellow | Former | Researcher in and

Philadelphia, PA
scholar.google.com/citations?user…
Vrijeme pridruživanja: svibanj 2017.
30 fotografija ili videozapisa Fotografije i videozapisi

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  1. Prikvačeni tweet
    20. ožu 2019.

    My blog post for the Data Science Institute on what I consider the major barriers to integrating artificial intelligence methods into radiology practice.

    What are the biggest 4 barriers to and how can we break them down? explores this question in an ALL-NEW blog post
    18 proslijeđenih tweetova 54 korisnika označavaju da im se sviđa
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  2. proslijedio/la je Tweet
    prije 12 sati

    Artificial Intelligence Is Not Ready For The Intricacies Of Radiology According to Forbes. An interesting read from a lawyer’s perspective for those interested! ⁦⁩ ⁦⁩ ⁦⁩ ⁦⁩ ⁦⁩

    8 proslijeđenih tweetova 22 korisnika označavaju da im se sviđa
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  3. proslijedio/la je Tweet
    13. sij

    Passionate about in ? Join the AI Community -- and connect with the best minds in medical imaging!

    17 proslijeđenih tweetova 31 korisnik označava da mu se sviđa
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  4. proslijedio/la je Tweet
    8. sij

    Medical image analysis human & machine from Bryan et al. special issue of Academic Radiology "A combination of slow and fast thinking is important for radiologists and computers"

    1 proslijeđeni tweet 4 korisnika označavaju da im se sviđa
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  5. proslijedio/la je Tweet
    3. sij

    RADIOLOGY Editorial Board: Methods to assess AI research.

    56 proslijeđenih tweetova 119 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    31. pro 2019.

    Recently published work in on using 3D convolutional neural networks for multiclass tissue segmentation of brain tumors & white matter hyperintensities -->

    2 proslijeđena tweeta 13 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    20. pro 2019.

    Very cool 🧠 💻 🤖 work from my co-fellows and Dr Colby 💯

    1 proslijeđeni tweet 11 korisnika označava da im se sviđa
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  8. proslijedio/la je Tweet
    20. pro 2019.

    Interested on how co-occurring affect your algorithm? Take a look at our new study and its publicly available non- annotations on the dataset.

    Just published - Our work using 3D convolutional neural networks for multiclass tissue segmentation of brain tumors and white matter hyperintensities
    7 proslijeđenih tweetova 10 korisnika označava da im se sviđa
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  9. 20. pro 2019.

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

    5 proslijeđenih tweetova 25 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    12. pro 2019.

    Congratulations to the team at our Center for Practice Transformation. More about their award-winning study here:

    The five winners awarded by never lost sight of the ultimate point of all their extra effort: improving while increasing efficiencies and containing .
    3 proslijeđena tweeta 6 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    10. pro 2019.

    Missed ? We got you - our extensive report on the state of AI startups in radiology is here!

    6 proslijeđenih tweetova 25 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    25. stu 2019.

    Do you know how to find cleared algorithms? has you covered 👇 via

    11 proslijeđenih tweetova 13 korisnika označava da im se sviđa
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  13. 18. stu 2019.

    Great article for radiologists interested in by

    How can and fellows prepare now for in practice?
    3 korisnika označavaju da im se sviđa
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  14. proslijedio/la je Tweet
    17. stu 2019.

    Great work from Michael Duong and team at

    Review Artificial intelligence for precision education in radiology
    1 reply 7 proslijeđenih tweetova 13 korisnika označava da im se sviđa
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  15. proslijedio/la je Tweet
    16. stu 2019.

    Lots of representation via also another 💫 from back East . Amazing crew!! 💯 🧠 🤖

    Announcing our inaugural Trainee Editorial Board (TEB)! These physicians + scientists in training will join the team, learn scientific journalism, and build the journal's future!
    5 proslijeđenih tweetova 20 korisnika označava da im se sviđa
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  16. 16. stu 2019.

    Thank you for the Imaging Innovation Award recognizing our work to limit contrast use in For those of you interested in reading more, the work was also published

    Congrats to for earning a 2019 Imaging Innovation Award from Radiology Business Journal. Read their winning entry, written by :
    3 proslijeđena tweeta 11 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    15. stu 2019.

    Dr. Andreas Rauschecker (), is the recipient of the 2019 Trainee Research Award in Neuroradiology from ASNR. We're excited to see more of his project on "Human-Interpretable AI-Based Quantitative Metrics for X-Linked ALD."

    4 proslijeđena tweeta 25 korisnika označava da im se sviđa
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  18. proslijedio/la je Tweet
    13. stu 2019.

    I'm excited to work with these talented individuals. They have strong backgrounds in and , and no doubt will bring great ideas and energy into the journal!

    Announcing our inaugural Trainee Editorial Board (TEB)! These physicians + scientists in training will join the team, learn scientific journalism, and build the journal's future!
    6 proslijeđenih tweetova 28 korisnika označava da im se sviđa
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  19. 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 :

    5 proslijeđenih tweetova 28 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    14. stu 2019.

    “Patients with multiple sclerosis (MS) can receive more than 60 contrast-enhanced MRI exams during the course of their lifetime.”

    8 proslijeđenih tweetova 15 korisnika označava da im se sviđa
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  21. 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!

    Announcing our inaugural Trainee Editorial Board (TEB)! These physicians + scientists in training will join the team, learn scientific journalism, and build the journal's future!
    1 reply 6 proslijeđenih tweetova 24 korisnika označavaju da im se sviđa
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