Duke Spark - Medical Imaging AI (@duke_spark) 's Twitter Profile
Duke Spark - Medical Imaging AI

@duke_spark

Duke AI Health Initiative for Medical Imaging. We gather technical and clinical experts @DukeU to develop algorithms for analysis of medical images.

ID: 1516780570164047878

calendar_today20-04-2022 14:09:03

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Duke Spark - Medical Imaging AI (@duke_spark) 's Twitter Profile Photo

🔍✨ Revisiting a landmark in #Neuroimaging: Duke Spark's Sina Farsiu's Shallow U-Net Neuron Segmentation (SUNS) method. A pioneer in fast, accurate neuron segmentation: doi.org/10.1038/s42256… #MedicalImaging #MedicalAI #AI #DukeSpark

AJR (@ajr_radiology) 's Twitter Profile Photo

This article from Ben Wildman-Tobriner, Maciej A. Mazurowski, et al. compared the diagnostic performance of ACR TI-RADS and a deep learning algorithm in differentiating benign and malignant thyroid nodules on ultrasound in children and young adults. ajronline.org/doi/10.2214/AJ…

This article from <a href="/benWTmd/">Ben Wildman-Tobriner</a>, <a href="/MazurowskiPhD/">Maciej A. Mazurowski</a>, et al. compared the diagnostic performance of ACR TI-RADS and a deep learning algorithm in differentiating benign and malignant thyroid nodules on ultrasound in children and young adults.
ajronline.org/doi/10.2214/AJ…
Mazurowski Lab - Duke University (@mazurowskilab) 's Twitter Profile Photo

🎉 Exciting news! The paper, "Thyroid Nodules on Ultrasound in Children and Young Adults," won the Best of AJR award in Pediatric Imaging for 2023! It is co-authored by @JichenYang10, Laura C. Page, Lars Wagner, Ben Wildman-Tobriner, Logan Bisset, Donald Frush, and Maciej A. Mazurowski.

Nick Konz (@nick_konz) 's Twitter Profile Photo

How and why do neural nets learn differently from natural images vs. medical images? I’m happy to announce my new #ICLR2024 paper, “The Effect of Intrinsic Dataset Properties on Generalization”! arxiv.org/abs/2401.08865 Check out the code: github.com/mazurowski-lab… More info next..

How and why do neural nets learn differently from natural images vs. medical images? I’m happy to announce my new #ICLR2024 paper, “The Effect of Intrinsic Dataset Properties on Generalization”! arxiv.org/abs/2401.08865

Check out the code: github.com/mazurowski-lab…
More info next..
Mazurowski Lab - Duke University (@mazurowskilab) 's Twitter Profile Photo

🦴Introducing "SegmentAnyBone", a universal model for MRI bone segmentation. This model can segment bones in any MRI location, tackling a major challenge in medical imaging. #SegmentAnyBone #MedicalImaging #AI #DukeSpark

🦴Introducing "SegmentAnyBone", a universal model for MRI bone segmentation. This model can segment bones in any MRI location, tackling a major challenge in medical imaging. 

#SegmentAnyBone #MedicalImaging #AI #DukeSpark
Nick Konz (@nick_konz) 's Twitter Profile Photo

Can we adapt segmentation models to a new domain at test time, with only a single image? Introducing our new preprint and model for this task: "InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation"! (1/N) arxiv.org/abs/2402.09604 Code: github.com/mazurowski-lab…

Can we adapt segmentation models to a new domain at test time, with only a single image? Introducing our new preprint and model for this task: "InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation"! (1/N)
arxiv.org/abs/2402.09604
Code: github.com/mazurowski-lab…
Nick Konz (@nick_konz) 's Twitter Profile Photo

Excited to share our new paper, "ContourDiff: Unpaired Image Translation with Contour-Guided Diffusion Models”, which leverages domain-invariant anatomical contour representations to preserve anatomy through translation! (1/N) arxiv.org/abs/2403.10786 Code: github.com/mazurowski-lab…

Excited to share our new paper, "ContourDiff: Unpaired Image Translation with Contour-Guided Diffusion Models”, which leverages domain-invariant anatomical contour representations to preserve anatomy through translation! (1/N)
arxiv.org/abs/2403.10786
Code: github.com/mazurowski-lab…
Nick Konz (@nick_konz) 's Twitter Profile Photo

I'm happy to share that our lab had three short papers and a long paper accepted at @midl-conference.bky.social! (1/4): Rethinking Perceptual Metrics for Medical Image Translation (openreview.net/forum?id=acNu3…), led by me;

I'm happy to share that our lab had three short papers and a long paper accepted at <a href="/midl_conference/">@midl-conference.bky.social</a>! 
(1/4): Rethinking Perceptual Metrics for Medical Image Translation
(openreview.net/forum?id=acNu3…), led by me;