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@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/y3sZ38NIZ7
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/zkCddWgOZR
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #AI #MachineLearning https://t.co/SlT3r4lHqe
@Radiology_AI 1 year ago
Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformer #DeepLearning #MachineLearning https://t.co/vkN17E7Iso
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning https://t.co/924nXgpWwb
@Radiology_AI 1 year ago
Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #AI #MachineLearning https://t.co/ATFyMZCVZE
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #ML #MachineLearning https://t.co/Yjh54EzRFg
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/cfC4OrFxC0
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning https://t.co/DVl9XtgTBI
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/d4DFnYAKqL
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #AI #ML #MachineLearning https://t.co/ij1qLOqOrw
@Radiology_AI 1 year ago
Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #Transformer #MachineLearning https://t.co/xKfodRdUM4
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #AI #MachineLearning https://t.co/68vIIKCDag
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/xAASWKqFag
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning #AMIA2022 https://t.co/LvndChK6Cw
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/t0Vza8lPaU
@WiDS_Conference 3 years ago
Manisha Desai of @StanfordMed sits at the intersection of #medicine and #datascience. On the #WiDSPodcast she discusses the #COVID19 clinical trials and preventing disease progression: https://bit.ly/manisha-desai @AnitaB_org @GirlsWhoCode @DataWomen @WiMLworkshop @AmstatNews @WITI https://t.co/QeLplvX0nR
@TheFHFoundation 4 years ago
A8 #FINDFH is the FH Foundation’s #precisionmedicine, combining #AI and #bigdata to find individual health records that look like FH and work with healthcare systems to diagnose and treat. @OHSU @PennMedicine @StanfordMed @npj Digital Medicine: https://thefhfoundation.org/findfh-data-published-in-npj #KnowFH https://t.co/Xbsju94trI
@StanfordMed 4 years ago
Here's the speaker lineup and livestream link for this year's #BigData in Precision Health event, which is taking place now at Stanford University School of Medicine. https://stan.md/2HAFBPj https://stan.md/2Hxqrdr #BigDataMed #PrecisionHealth https://t.co/kg4AXbSIUe
@SimplyVitalHQ 5 years ago
We've been looking forward to speaking at the @StanfordMed #BigData in Precision Medicine conference for months, and the day is finally here! Make sure to tune into our #Facebook page for a LIVE cast of @kkuzmesk talk on #blockchain and #healthcare later today! https://t.co/306EzjIWdR
@StanfordMed 6 years ago
Stanford Medicine’s #BigData in #PrecisionHealth Conference set for May 23-24. https://stan.md/2qQC5aF #BigDataMed https://t.co/9OGjKPzFGQ
@StanfordMed 6 years ago
It's back! Stanford Medicine's #BigData conference is set for May 23-24: http://stan.md/2H9lQfc #BigDataMed https://t.co/mPDeItOXGg
@StanfordMed 6 years ago
Registration is now open for Stanford Medicine's #BigData in #PrecisionHealth Conference: http://stan.md/2FYy3C7 #BigDataMed https://t.co/zzdoYGPwk8
@StanfordMed 6 years ago
Dean Lloyd Minor discusses how #BigData is shaping the future of health care and medicine: http://stan.md/2q2hz4E #PrecisionHealth