Look out for this talk from @khodakaramim at @MICCAI_Society 2026! More details at the link feat. PATCHLab and the Penn ADRC @pennmemory

linkedin.com/posts/paul-yus…
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Excited to share “Knowledge Transfer Scaling Laws for 3D Medical Imaging”.

How should we mix multi-modality medical images for pretraining?

We show that domain scaling exponents vary by 3.5×, and cross-domain transfer is highly asymmetric.

Our transfer-aware scaling law yields ixture, beating data-proportional sampling by up to 58% and revealing a clean “hub-and-island” structure across imaging domains.

arXiv: arxiv.org/abs/2605.06859
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I'm very excited to share that FireANTs is now accepted at Nature Communications! 🎉

FireANTs represents the next generation of image registration algorithms for large-scale "problems of the future" in biomedical and life sciences.
🚨 Preprint alert 🚨

We develop FireANTs, the first Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Registration.

This represents a new state-of-the-art registration method 👇

paper: arxiv.org/abs/2404.01249
code: github.com/rohitrango/fir…

1/n

#medicalimaging
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PICSL retweeted
3D convnets are powerful but very memory intensive - a lot of representations like high fidelity occupancy maps, 3d image volumes, climate data, cosmological data cannot be processed at scale because of memory requirements.

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PICSL retweeted
🚨Publication alert: This study led by @WuestefeldAnika aims to provide a more granular understanding of how tau pathology leads to specific cognitive decline in Alzheimer's disease. 🧠 Out now in Alzheimer’s & Dementia! Read it here: doi.org/10.1002/alz.70…
🧵👇
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PICSL retweeted
Can ChatGPT help🩺physicians better order🩻diagnostic imaging?

In our new work in @CommsMedicine, we align LLMs with expert medical guidelines to build intelligent clinical assistants! Part of an awesome #HealthAI #MedTwitter collab between @PennRadiology @CIS_Penn

🧵👇 (1/n)
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PICSL retweeted
Congratulations to @wensi_wu, @PouchAlison and team on receiving a 2025 @AdditionalVent Single Ventricle Research Award. @MEAM_Penn @pennbioeng @PennEngineers @picslupenn @HeartCare4Kids @CHOP_Research
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PICSL retweeted
I will be giving a talk at the Alzheimer’s Imaging Consortium (AIC) Preconference at AAIC 2025 on Saturday 26th July at 1pm on postmortem imaging. Please do attend :) #AAIC2025 @alzassociation @NeuroimagingPIA
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PICSL retweeted
Congratulations to @wensi_wu and team on their publication demonstrating how the intersection of image processing, machine learning and biomechanics can help us better understand the function of cardiac valves:sciencedirect.com/science/articl…
@pennbioeng @picslupenn @MEAM_Penn
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Thrilled to see our team's work on the AInSights platform featured! Two years since we went live, and more exciting apps on the way. #AIinHealthcare #ClinicalDecisionSupport #HealthTech #AInSights #AIinHealthcare #ClinicalDecisionSupport #HealthTech
hcinnovationgroup.com/imaging/artifi…
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Can we ensure that offline optimization methods propose both 📈 high-quality *and* 📊 diverse sets of designs? Thrilled to share our work on DynAMO for optimization in #AI4Science accepted to #ICML2025! Together with my amazing co-advisors @picslupenn @obastani 📄👇 (1/n)
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I’m honored to be able to present our work at the ISBI 2025. Thank you for all my co-authors for contributing to this project and my mentor @PouchAlison for the guidance. Please check out the conference paper at arxiv.org/abs/2502.09805.
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Excited to present my work at the ACTRIMS conference in West Palm Beach, Florida! We analyzed the progression of multiple sclerosis lesions across different subtypes, including chronic non-PRL, CEL, and PRLs.
Swipe for a beautiful seaside sunrise! #ACTRIMS
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PICSL retweeted
Honored to join the ranks of the #FAAR this year at #AAR25 @aaradiol
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Excited to organize this session with @RMiccai :) @MICCAI_Society @WomenInMICCAI @MiccaiStudents @picslupenn
Join the #MICCAI2025 Paper Submission Q&A presented by @RMiccai
with Program Chairs Profs. James Gee, Daniel Alexander
Don't miss this opportunity to strengthen your submission!
📅 Feb 18
⏰ 10am EST / 4pm CET
Register: 🔗us02web.zoom.us/webinar/regist…
@WomenInMICCAI @MiccaiStudents
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PICSL retweeted
Earlier this month, Dr. James C. Gee, Director of the Penn Image Computing and Science Laboratory, published a targeted editorial in Radiology discussing effective structured information extraction from chest radiography reports using open-weights LLMs.

spr.ly/6010xWgOm
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Replying to @asset25
@asset25 👏👏👏
In complete awe listening @asset25 at the #RSNA24 Fast 5.

Beyond grateful to have you as my mentor and all the advice and support you have given me! Honor to be your mentee!

@PennRadiology @PennMedicine @RSNA
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