CAI2R

@cai2r

Center for Advanced Imaging Innovation & Research • operated by at • supported by at

Vrijeme pridruživanja: ožujak 2016.

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  1. Prikvačeni tweet
    9. sij

    Our imaging scientists, together w/ colleagues at research, discuss the results & lessons of the 2019 fastMRI challenge: [preprint] [leaderboards] for faster

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  2. proslijedio/la je Tweet
    29. sij

    fastMRI: A Publicly Available k-Space and DICOM Dataset of Knee MRI Images for Accelerated Image Reconstruction Using .

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  3. 28. sij

    At '20 data sampling & image recon workshop? Check out 's -based non-uniform fast Fourier transform w/ Kaiser-Bessel gridding. [abstract] [primer] [code] 🔥pip install TorchKbNufft🔥

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  4. 28. sij

    Our colleagues at are using to clean up historical diffusion data!👇

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  5. 28. sij

    ., it was a pleasure to have you on our team and to watch you grow in our program at . We wish you best of luck as you continue your journey at . Do come back to visit!

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  6. 23. sij

    We did find that our combined with radiologists' readings results in more accurate detection. We have not yet translated this AI into clinical practice. We are working on it!👇🏼

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  7. proslijedio/la je Tweet
    21. sij

    Got any stellar undergrads who want to spend a summer ? Send them my way! I've got two exciting projects available and the deadline is fast approaching. Come work with me and . I promise a summer of interesting science and mountain adventures.

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  8. proslijedio/la je Tweet
    15. sij

    Doing research on the environmental impact of MRI, or willing to learn to give an educational-type talk? Apply to present in the Junior Fellows Symposium at the 2020 ISMRM in Sydney! Early career members encouraged to apply!! pls rt

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  9. 12. sij

    Thanks to all AMPC members for putting in the work this weekend in Barcelona to construct a great meeting in Sydney! Looking forward to the conference! 📷 [1] Florian Knoll, Riccardo Lattanzi, after [2] a 3-day AMPC workout.

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  10. proslijedio/la je Tweet
    9. sij

    Last year, the fastMRI FAIR team and NYU Langone Health held a public competition to advance research in the field of Machine Learning for MR image reconstruction. We just uploaded an arxiv paper with our learnings and results here

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  11. 7. sij

    AI imaging research—a guide: 1 define training, validation, test sets 2 test w/ external set 3 use multivendor images 4 justify data volume 5 apply field's reference standard 6 disclose image prep 7 benchmark AI against expert radiologists 8 explain AI decisions 9 share AI source

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

    Our paper/tool "DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation" is on arXiv/github/PyPi. Labeling 102 brain segments under 1 minute, more accurately than popular MRF-based that takes ~4 hours per MRI.

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  13. proslijedio/la je Tweet
    16. pro 2019.
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  14. 18. pro 2019.

    Looking for a pythonista to geek out with us on machine learning infrastructure for research. Sounds like you? apply() Sounds like someone you know? share()

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  15. proslijedio/la je Tweet
    14. pro 2019.

    Very nice synergy and complementarity between and my talks today at - also wondering whether we need images at all or could go straight from (multi)sensor to clinically relevant information 👍

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    14. pro 2019.
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  17. proslijedio/la je Tweet
    13. pro 2019.

    Thanks for being great hosts; you have a superb department

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  18. proslijedio/la je Tweet
    14. pro 2019.

    Greetings from my first-ever NeurIPS meeting - roughly the size of one meeting last year, close to double that size this year. Make way for machine learning!

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  19. proslijedio/la je Tweet
    14. pro 2019.

    Shizhan Gong, an MS (!) student from , talking at the workshop at about our work on deep learning for breast cancer MRI. A strong baseline for future work! Paper: Done in collaboration with at .

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

    Program for the Medical Imaging Meets Machine Learning Workshop at . We present outcomes of the fastMRI collaboration and challenge this afternoon.

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