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Prikvačeni tweet
Our imaging scientists, together w/ colleagues at
@facebookai research, discuss the results & lessons of the 2019 fastMRI challenge: [preprint] https://arxiv.org/abs/2001.02518 [leaderboards] https://fastmri.org/leaderboards/challenge …#AI for faster#MRI@tulliemurrell@mattmucklm@DanielSodicksonpic.twitter.com/ugdZieP1ML
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CAI2R proslijedio/la je Tweet
fastMRI: A Publicly Available k-Space and DICOM Dataset of Knee MRI Images for Accelerated Image Reconstruction Using
#MachineLearning. https://buff.ly/2u0gdOL@cai2r#RSNAI#RADAIpic.twitter.com/GdY6mfthuh
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At
@ISMRM '20 data sampling & image recon workshop? Check out@mattmucklm's@PyTorch-based non-uniform fast Fourier transform w/ Kaiser-Bessel gridding. [abstract] https://www.ismrm.org/workshops/2020/Data/ … [primer] https://medium.com/@matt.muckley/torchkbnufft-a-non-uniform-fast-fourier-transform-for-pytorch-b17770bb979b … [code] https://github.com/mmuckley/torchkbnufft …
pip install TorchKbNufft
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Our colleagues at
@vuiis are using#AI to clean up historical diffusion data!
https://twitter.com/kurtschilling5/status/1220405131134394368 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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@HodonoS, it was a pleasure to have you on our team and to watch you grow in our#biomedicalimaging program at@nyuschoolofmed. We wish you best of luck as you continue your#PhD journey at@UQ_CAI. Do come back to visit!https://twitter.com/HodonoS/status/1221891102015479814 …
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We did find that our
#AI combined with radiologists' readings results in more accurate#breastcancer detection. We have not yet translated this AI into clinical#radiology practice. We are working on it!
https://twitter.com/kjgeras/status/1220370128220631040 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
CAI2R proslijedio/la je Tweet
Got any stellar undergrads who want to spend a summer
@NIST? Send them my way! I've got two exciting#quantitativeMRI projects available and the deadline is fast approaching. Come work with me and#NISTMIG. I promise a summer of interesting science and mountain adventures.https://twitter.com/NIST/status/1216401954634522624 …
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CAI2R proslijedio/la je Tweet
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
#ismrm2020@ISMRMhttps://www.ismrm.org/20m/2020-junior-fellow-symposium-speaker-applications/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Thanks to all AMPC members for putting in the work this weekend in Barcelona to construct a great
#ISMRM2020 meeting in Sydney! Looking forward to the conference!
[1] Florian Knoll, Riccardo Lattanzi, @dimanovikov after [2] a 3-day@ISMRM AMPC workout.#ScienceWithoutBorderspic.twitter.com/tq2PF6xyAa
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CAI2R proslijedio/la je Tweet
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 https://arxiv.org/abs/2001.02518
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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 sourcehttps://twitter.com/DrLindaMoy/status/1213524158681960448 …
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CAI2R proslijedio/la je Tweet
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
#FreeSurfer that takes ~4 hours per MRI. https://arxiv.org/abs/1911.05567 https://github.com/NYUMedML/DARTS pic.twitter.com/38A40GZPzy
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CAI2R proslijedio/la je Tweet
Data Science Research Engineer | CAI2R https://www.cai2r.net/jobs/data-science-research-engineer …
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Looking for a pythonista to geek out with us on machine learning infrastructure for
#biomedicalimaging research. Sounds like you? apply() Sounds like someone you know? share() https://www.cai2r.net/jobs/data-science-research-engineer …#DataScience#ComputerScience#research#engineer#jobpic.twitter.com/fuYYaCYkUoHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
CAI2R proslijedio/la je Tweet
Very nice synergy and complementarity between
@DanielSodickson and my talks today at#medneurips -@HyperfineR also wondering whether we need images at all or could go straight from (multi)sensor to clinically relevant information
pic.twitter.com/yJZIPZQjiB
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CAI2R proslijedio/la je Tweet
Brilliant keynotes by Rene Vidal,
@ja_schnabel, Leo Grady@paige_ai, and@DanielSodickson https://twitter.com/GlockerBen/status/1205877624112852992 …pic.twitter.com/oeUioptsqJ
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CAI2R proslijedio/la je Tweet
Thanks for being great hosts; you have a superb departmenthttps://twitter.com/Hopkins_Rad/status/1205241525371670528 …
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CAI2R proslijedio/la je Tweet
Greetings from my first-ever NeurIPS meeting - roughly the size of one
@ISMRM meeting last year, close to double that size this year. Make way for machine learning!#NeurIPS2019@cai2rpic.twitter.com/WuFblKKw2R
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CAI2R proslijedio/la je Tweet
Shizhan Gong, an MS (!) student from
@NYUDataScience, talking at the#medneurips workshop at#neurips19 about our work on deep learning for breast cancer MRI. A strong baseline for future work! Paper: https://profs.etsmtl.ca/hlombaert/public/medneurips2019/78_CameraReadySubmission_Large_scale_classification_of_breast_MRI_exams_using_deep_convolutional_networks.pdf … Done in collaboration with@cai2r at@nyulangone.pic.twitter.com/w3aJCMsVLd
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CAI2R proslijedio/la je Tweet
Program for the Medical Imaging Meets Machine Learning Workshop at
#NeurIPS2019. We present outcomes of the fastMRI collaboration and challenge this afternoon.#medneurips@cai2r@facebookaipic.twitter.com/LevxpkaztR
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Čini se da učitavanje traje već neko vrijeme.
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I'm still on PhD journey. I hope I can synsesize what I learned here to develop something interesting at UQ!