
Louis Blankemeier
@loublanks
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ML PhD Candidate @Stanford | Previously @Google, @Microsoft, @GEHealthCare
Joined January 2024
RT @magdapasc: ๐งต What if AI could learn from millions of unlabeled radiology images and reportsโand then flexibly adapt to new clinical tasโฆ.
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RT @Zepeng_Huo: ๐ Excited to share that our latest research, ๐๐ช๐ฎ๐ฆ-๐ต๐ฐ-๐๐ท๐ฆ๐ฏ๐ต ๐๐ณ๐ฆ๐ต๐ณ๐ข๐ช๐ฏ๐ช๐ฏ๐จ ๐ง๐ฐ๐ณ 3๐ ๐๐ฆ๐ฅ๐ช๐ค๐ข๐ญ ๐๐ฎ๐ข๐จ๐ช๐ฏ๐จ, has been accepted at ๐๐๐๐ฅ 20โฆ.
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Incredible work led by @zhjohnchan and @mayavarma23:. โ
Transparent, open-source benchmarks.โ
Suite of open-source models.โ
Open-source instruction tuned model trained on 35 tasks.โ
Open-source code for curating CheXinstruct dataset. Most notably, this research demonstrates.
1/ Updates on our improved open-source CheXagent with new transparent benchmarks!.We ran a new reader study mimicking real workflows:.Radiology residents drafted reports that attendings reviewed/edited. Results from 8 rads show major efficiency gains. Key findings: ๐
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RT @IAMJBDEL: So proud of the release of the GREEN metric. See what you can do when you merge medical AI research and open-sourceness. 26,โฆ.
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We are excited to announce the launch of our company - Cognita! We are working towards building the future of radiology through multi-modal AI systems with a great group of founders @zhjohnchan, @Dr_ASChaudhari and I, and advisors Ajit Singh, Chris Re, and @curtlanglotz. 1/2.
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RT @josephpaulcohen: Want to understand why a computed tomography classifier made a prediction? The code just went online for generating coโฆ.
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RT @Dr_ASChaudhari: Our RoentGen paper is now out in @natBME with more exps than before! There's lots of excitement/debate in best practiceโฆ.
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My takeaways from the recent "An Image is Worth More Than 16x16 Patches" - Given a fixed compute budget, increasing the image resolution is better than decreasing the patch size. Only when the input image resolution is maximized, should we decrease the.
arxiv.org
This work does not introduce a new method. Instead, we present an interesting finding that questions the necessity of the inductive bias of locality in modern computer vision architectures....
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RT @DrAalami: Congrats Arash ๐ . Huge contributions by @AdritRao. Also, @loublanks, @Dr_ASChaudhari, @pauline_berens, and @atfisherMDโฆ.
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Congrats to @AdritRao and mentor @DrAalami on their open source aorta diameter measurement tool. This is an important step towards standardizing AAA measurement and longitudinal monitoring.
Open-source, to boot! ๐. Any one can use this for internal QI projects or to build your own institutional AAA database/registry on Abd/Pelvic CT scans with and/or without contrast. Congrats Arash on winning second place! ๐.
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RT @curtlanglotz: "Artificial intelligence can help doctors spot disease, but it's not taking over medicine". AI could take medical imagingโฆ.
sciencenews.org
Artificial intelligence in medical imaging is taking off. Experts share what they see as the promise โ and potential pitfalls โ of AI technology.
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