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DTSTART;TZID=America/New_York:20191203T110000
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DTSTAMP:20260408T073609
CREATED:20190828T155001Z
LAST-MODIFIED:20190828T155001Z
UID:1923-1575370800-1575374400@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Beyond Supervised Learning for Biomedical Imaging"
DESCRIPTION:Abstract: Today\, many biomedical imaging tasks\, such as 3D reconstruction\, denoising\, detection\, registration\, and segmentation\, are solved with machine learning techniques. In this talk\, I will present a flexible learning-based framework that has allowed us to derive efficient solutions for a variety of such problems\, without relying on heavy supervision. I will primarily employ image registration as a concrete application and present the details of VoxelMorph\, our unsupervised learning-based image registration tool. I will show empirical results obtained by co-registering thousands of brain MRI scans where VoxelMorph has yielded state-of-the-art accuracy with runtimes that are orders of magnitude faster than conventional tools. Finally\, I will present some recent results where we used VoxelMorph to learn conditional deformable templates that can reveal population variation as a function of factors of interest\, such as aging or genetics. Our code is freely available at https://github.com/voxelmorph/voxelmorph.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-mert-sabuncu/
LOCATION:Smilow Center Auditorium\, 3400 Civic Center Blvd\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
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