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@Radiology_AI 10 months ago
Differences in data distribution may affect federated #DeepLearning model performance in medical image segmentation https://doi.org/10.1148/ryai.220082 @ND_CSE @hku_science @ZJU_China #FederatedLearning #AI #MachineLearning #AIME23 #AIME2023 https://t.co/Sg0Y2jheGy
@Radiology_AI 11 months ago
Expert panelists @pezlarson @Dr_ASChaudhari @giemmecci discuss the role of synthetic medical imaging data https://pubs.rsna.org/page/ai/blog/2023/05/ryai_editorsblog051623 @Khosravi_Bardia #SyntheticData #MachineLearning #AI #PedsRad #SPR23 https://t.co/9pts59Gdx4
@Radiology_AI 1 year ago
T - 1 Hour: Don't miss the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/nbpQWh6TeS
@Radiology_AI 1 year ago
Here is a sneak peek at the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/KCMa4FQgf2
@Radiology_AI 1 year ago
T - 6 hours: Don't miss the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/vjFPYgStPy
@giemmecci 1 year ago
Join us today at 8 pm ET for this month #RadAIchat discussing opportunities and challenges associated with the use of synthetic data in medical imaging. #MachineLearning #DeepLearning @RSNA @Radiology_AI https://twitter.com/radiology_ai/status/1630977288408793094
@Radiology_AI 1 year ago
Join @Radiology_AI for the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/MevjNBH0Bt
@Radiology_AI 1 year ago
Mark your calendar for the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/rLYcEza4CM
@Radiology_AI 1 year ago
T - 1 Day: Don't miss the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/oTMsWsnN2y
@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
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
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
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
@Radiology_AI 1 year ago
"The aim of this article is to discuss data, data creation, and the potential financial stakeholders for the development of #AI in medicine" https://doi.org/10.1148/ryai.220054 @MayoFL_RadRes @ronnie_sebro @MayoRadiology #DataOwnership #ML #MachineLearning https://t.co/2DPMVyczPX