Magda Paschali

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Magda Paschali

Magda Paschali

@magdapasc

Postdoctoral Scholar @StanfordRad Previously PhD @TU_Muenchen | Deep Learning | Robustness | Medical Imaging

Menlo Park, CA Katılım Ekim 2019
478 Takip Edilen649 Takipçiler
Magda Paschali
Magda Paschali@magdapasc·
Excited to see our review on foundation models in radiology highlighted by @stanford_aide! Grateful for the chance to dive into the topic on the @radiology_rsna podcast with @LindaChuMD and @Dr_ASChaudhari! 🧠 Paper: lnkd.in/gJ2fhZnB 🎧 Podcast: lnkd.in/gsDPi28A ✍️ Feature: lnkd.in/g89tUnYW
Stanford AIDE@stanford_aide

Unlike traditional task-specific AI, foundation models learn from massive, multimodal, unlabeled datasets, opening big possibilities in radiology (and challenges too). Magda Paschali, PhD & Akshay Chaudhari, PhD share key insights on the @RSNA podcast

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Camila González
Camila González@camgbus·
Please consider participating in Bonnie's research study on how to make radiology reports easier to understand with LLMs 😁 It only takes 1.5 hs of your time!
Stanford AIDE@stanford_aide

We are excited to invite you to participate in an online research study at @StanfordMed focused on improving patient-centered communication in healthcare 🩻 This study involves using a grading scheme designed to assess the quality of patient-friendly radiology reports 🗒️

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Magda Paschali
Magda Paschali@magdapasc·
🧵 What if AI could learn from millions of unlabeled radiology images and reports—and then flexibly adapt to new clinical tasks? In a new comprehensive review in @radiology_rsna, we dive into how foundation models (FMs) are set to revolutionize radiology! @AIMI_Stanford (1/6) 👇
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Camila González
Camila González@camgbus·
Congratulations @jeyamariajose for winning rhe MICCAI Young Scientist Publication Impact Award 🥳🥳🥳
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Annakhil, Royaume du Maroc 🇲🇦 English
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Magda Paschali
Magda Paschali@magdapasc·
Check out Computer Vision News @RSIPvision if you want to find out more about registration with INRs and Vasiliki’s research!! computervision.news/2024August/4/
Vasiliki Sideri Lampretsa@SideriLampretsa

My award-winning MIDL paper was featured as the main article on Computer Vision News @RSIPvision: computervision.news/2024August/4/ I would like to thank Ralph Anzarouth for the great article! Paper and code: openreview.net/pdf?id=V5XDYSR…… github.com/vasl12/SINR

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Magda Paschali
Magda Paschali@magdapasc·
Always a pleasure collaborating with Vasiliki @SideriLampretsa 😊! Check out our new paper on multi-modal registration using INRs, and attend her oral presentation at MIDL in Paris 🇫🇷
Vasiliki Sideri Lampretsa@SideriLampretsa

Our new paper, “SINR: Spline-enhanced implicit neural representation for multi-modal registration has been accepted for an oral and a poster presentation at MIDL 2024. openreview.net/pdf?id=V5XDYSR… If you happen to be in Paris this week, let's meet and connect in person :)

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Stanford AIMI
Stanford AIMI@StanfordAIMI·
Two weeks of learning, research, mentorship & fun wrapped up with the conclusion of the AIMI Sumer Research Internship & Bootcamp! Thanks to our participants, staff, mentors & featured speakers who made this year's programs a huge success!
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Favour Nerrise ‎فيبر 🇨🇲
Favour Nerrise ‎فيبر 🇨🇲@fnerrise·
Had a fantastic time the past 2 weeks teaching high school students about AI & Medical Imaging. My students were so incredible and WON the final presentation award (98/100)! ❤️😆🙌🏿 Thanks to @StanfordAIMI @magdapasc & more for the wonderful opportunity!
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Magda Paschali
Magda Paschali@magdapasc·
@fnerrise Buying books in cute bookstores is a whole different hobby than reading them for me 😁 Enjoy 🤓
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Favour Nerrise ‎فيبر 🇨🇲
Favour Nerrise ‎فيبر 🇨🇲@fnerrise·
Went into the cutest little bookstore in Healdsburg yesterday and made some summer/beach reading list finds. Picking books is the ultimate personality quiz. 😅
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Magda Paschali
Magda Paschali@magdapasc·
So excited and grateful to be able to contribute to such an innovative and impactful work! Congrats @loublanks for leading such a large effort and thank you @Dr_ASChaudhari for your constant feedback and expert direction! 🥳
Louis Blankemeier@loublanks

🧙 Excited to introduce Merlin, a vision language foundation model for 3D computed tomography 🐈‍⬛🩻 Trained to understand 3D abdominal CT scans using supervision from: 💾 Structured electronic health records (1.8+ million codes) 🗒️ Natural language radiology reports (6+ million tokens) Paper: arxiv.org/abs/2406.06512 🧵 1/10

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Keşfet

@stanford_aide @radiology_rsna @LindaChuMD @Dr_ASChaudhari @larson_david_b @zhjohnchan @loublanks @mayavarma23