Isabelle Hu

45 posts

Isabelle Hu

@Isahuqy

AI Resident at FAIR @MetaAI, @UChicagoMedPhys PhD, hoping to advance science with AI

San Francisco, CA Katılım Eylül 2013

504 Takip Edilen144 Takipçiler

Isabelle Hu retweetledi

AI at Meta@AIatMeta·29 Eyl

We’re pleased to introduce Make-A-Video, our latest in #GenerativeAI research! With just a few words, this state-of-the-art AI system generates high-quality videos from text prompts. Have an idea you want to see? Reply w/ your prompt using #MetaAI and we’ll share more results.

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Isabelle Hu@Isahuqy·15 Haz

Hope you’ll have fun with this dataset!

AI at Meta@AIatMeta

To help advance research on AI that works across video, audio, text & more, we are releasing the MUGEN dataset. ai.facebook.com/blog/introduci… It contains 375K samples w/ annotations designed to train AI on complex multimodal tasks without prohibitively large computing resources.

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Isabelle Hu retweetledi

AI at Meta@AIatMeta·8 Şub

Join us February 23rd for Inside the Lab: Building for the metaverse with #AI. Tune in to our livestream as Mark Zuckerberg discusses #AI's role in the metaverse. Learn more: ow.ly/sBkC50HPycI

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Isabelle Hu@Isahuqy·24 Eki

A review article that I wrote with Dr. Giger on AI applications in breast imaging is now available online! Check it out here: authors.elsevier.com/a/1dyJa7iQytQX… @ELS_Radiology #AI #breastcancer

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Isabelle Hu@Isahuqy·3 Eki

Check out my paper that just came out in the Journal of Medical Imaging’s COVID-19 special issue! @SPIEtweets doi.org/10.1117/1.JMI.…

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Isabelle Hu@Isahuqy·20 Ağu

I can finally make my Dr. Who/Dr. Hu joke! 😁

UChicago Medical Physics@UChicagoMedPhys

Congratulations Dr. Hu! @Isahuqy gave a wonderful thesis defense this morning for her research in the Giger Lab on artificial intelligence for medical image analysis of breast cancer and COVID-19. Isabelle will be moving on to work as an AI resident at @facebookai AI Research.

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Isabelle Hu retweetledi

Radiology: Artificial Intelligence@Radiology_AI·24 May

“Feature MIP” uses 4D information in breast DCE MRI to distinguish benign & malignant lesions doi.org/10.1148/ryai.2… @Isahuqy @hbarw @UChicagoRADS #BrCa #ML #MachineLearning

Radiology: Artificial Intelligence tweet media

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Isabelle Hu retweetledi

Radiology: Artificial Intelligence@Radiology_AI·20 May

“Feature MIP” uses 4D information in breast DCE MRI to distinguish benign & malignant lesions doi.org/10.1148/ryai.2… @Isahuqy @UChicagoRADS @UChicagoMedPhys #MammoRad #AI #ML

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Isabelle Hu retweetledi

Radiology: Artificial Intelligence@Radiology_AI·6 May

Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature MIP MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI doi.org/10.1148/ryai.2… @Isahuqy @mlgig @UChicagoRADS #BrCa #TransferLearning #ML

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Isabelle Hu retweetledi

Radiology: Artificial Intelligence@Radiology_AI·7 May

“Feature MIP” uses 4D information in breast DCE MRI to distinguish benign & malignant lesions doi.org/10.1148/ryai.2… @mlgig @UChicagoRADS @UChicagoMedPhys #BrCa #RadAI #ML

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Isabelle Hu retweetledi

Radiology: Artificial Intelligence@Radiology_AI·8 May

Deep transfer learning uses 4D information in contrast-enhanced MRI to distinguish benign from malignant breast lesions doi.org/10.1148/ryai.2… @Isahuqy @mlgig @UChicagoMedPhys #BreastCancer #AI #RadAI

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Isabelle Hu retweetledi

Radiology: Artificial Intelligence@Radiology_AI·6 May

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Isabelle Hu retweetledi

Radiology: Artificial Intelligence@Radiology_AI·25 Şub

Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature MIP MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI doi.org/10.1148/ryai.2… @mlgig @UChicagoRADS @WheatonCollege #BrCa #RadAI #MachineLearning

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Isabelle Hu@Isahuqy·26 Şub

And a news article in @AuntMinnie gives an overview of our paper: auntminnie.com/redirect/redir…

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Isabelle Hu@Isahuqy·25 Şub

@hbarw @mlgig @Radiology_AI

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Isabelle Hu@Isahuqy·25 Şub

My new paper is online! We investigated how to better incorporate 4D information in DCE-MRI while using 2D CNNs for differentiating benign vs. malignant breast lesions. Check it out👇if you are interested! Thanks to all my co-authors for their contribution and support!

Radiology: Artificial Intelligence@Radiology_AI

Incorporating 4D info in DCE-MRI by feature MIP improved classification of benign & malignant breast lesions doi.org/10.1148/ryai.2… @mlgig @UChicagoRADS @WheatonCollege #BreastCancer #BrCa #TransferLearning

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Isabelle Hu@Isahuqy·19 Şub

Woo that’s me 👀

UChicago Medical Physics@UChicagoMedPhys

Congratulations @Isahuqy, Runner-Up for the Robert F. Wagner Best Student Paper Award in SPIE Medical Imaging 2021! The winning paper, "Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning", can be found here: doi.org/10.1117/12.258…

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Isabelle Hu retweetledi

UChicago Medical Physics@UChicagoMedPhys·18 Şub

Check out all the awesome work from our students and trainees available this week at the #SPIEMedicalimaging Digital Forum!

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Isabelle Hu retweetledi

Data Science Institute@DSI_UChicago·7 Oca

For our first Rising Stars in Data Science workshop next week, panels on The Future of Data Science and Interdisciplinary Data Science will be online and open to the public. Register here: cdac.uchicago.edu/events/risings…

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Isabelle Hu retweetledi

Data Science Institute@DSI_UChicago·5 Oca

Next week, join us for panels and conversations from our inaugural Rising Stars in Data Science workshop, including a fireside chat with @UChicagoCS Prof. @WillettBecca. Agenda and registration links: cdac.uchicago.edu/events/risings…

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Keşfet

@SPIEtweets @HBarw @UChicagoRADS @UChicagoMedPhys @mlgig @WheatonCollege @AuntMinnie @Radiology_AI