Magda Paschali
@magdapasc
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Postdoctoral Scholar @StanfordRad Previously PhD @TU_Muenchen | Deep Learning | Robustness | Medical Imaging
Menlo Park, CA
Joined October 2019
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Check out Computer Vision News @RSIPvision if you want to find out more about registration with INRs and Vasiliki’s research!!
My award-winning MIDL paper was featured as the main article on Computer Vision News @RSIPvision: I would like to thank Ralph Anzarouth for the great article! Paper and code:
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Great way to conclude @midl_conference!! Congratulations Vasiliki @SideriLampretsa and co-authors @jqmcginnis @Huaqi_Qiu @wsimson_ @DanielRueckert 🥳🥳
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Great work @SideriLampretsa 👏🏻👏🏻👏🏻
Great presentation on using implicit neural representations as a registration option with low computational cost 👇
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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 🇫🇷
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. If you happen to be in Paris this week, let's meet and connect in person :)
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RT @StanfordAIMI: Two weeks of learning, research, mentorship & fun wrapped up with the conclusion of the AIMI Sumer Research Internship &…
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RT @fnerrise: Had a fantastic time the past 2 weeks teaching high school students about AI & Medical Imaging. My students were so incredibl…
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@fnerrise Buying books in cute bookstores is a whole different hobby than reading them for me 😁 Enjoy 🤓
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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! 🥳
🧙 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: 🧵 1/10
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RT @curtlanglotz: Contrastive learning and the study of algorithmic fairness require more and different CheXpert data. To meet this need, w…
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RT @StanfordAIMI: 🚀 AIMI Symposium 2024 registration is now open! Join us May 15 at Stanford or online for our fifth flagship annual meetin…
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Congratulations!! So well deserved 🥳🥳🥳🥳
Thank you @BVM_Community for granting my PhD thesis the BVM Award and giving me the opportunity to present it at the @BVM_conf in Erlangen 😊 it is so nice to be back in 🇩🇪 for a visit! 🍻🥨
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