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Make #ML models register specific image parts and adapt to new data types? New #preprint arxiv.org/abs/2301.11329. Code at w3id.org/synthmorph. FreeSurfer MGH Martinos Center Adrian Dalca MIT CSAIL Massachusetts Institute of Technology (MIT)

Awesome talk by Bennett Landman (Vanderbilt MASI Lab)'s Leon Y. Cai, MD, PhD at #SPIEMedicalImaging: #DeepLearning image synthesis enables topup distortion correction of fMRI without field map or reverse phase encoding! FreeSurfer MGH Martinos Center

SynthSeg 1 finally accepted in Medical Image Analysis! -yes, 1 week after the paper on version 2; don't ask :-) Paper: sciencedirect.com/science/articl… Code: github.com/BBillot/SynthS… Implementation in FreeSurfer : surfer.nmr.mgh.harvard.edu/fswiki/SynthSeg With B.Billot @LeemputKoen Adrian Dalca & others

Surprise! SynthStrip can often skullstrip MRI with motion artifacts, despite not seeing this at training. Tool at w3id.org/synthstrip FreeSurfer Adrian Dalca MIT Clinical and Applied Machine Learning MIT CSAIL MGH Martinos Center

Passionate about #DeepLearning and #MedicalImaging? Join our team FreeSurfer MGH Martinos Center @HarvardMed as a #postdoc, develop cutting-edge algorithms for fetal-brain #MRI. nmr.mgh.harvard.edu/~mu40/postdoc.…

Upgrade your neuroimage analysis! SynthStrip 1.5 now skull-strips multi-frame acquisitions: w3id.org/synthstrip FreeSurfer Adrian Dalca MIT Clinical and Applied Machine Learning MIT CSAIL MGH Martinos Center

I'm presenting this Thursday at #ISMRM23! Motion-Aware Neural Networks Improve Rigid Motion Correction Of Accelerated Segmented Multislice MRI Oral #1371, Thursday, 06/08 16:24 - 16:32, Room 701B Also viewable anytime as an AMPC Selection Poster in the main exhibition area.

Compute is all you need. For a given amount of compute, ViT and ConvNets perform the same. Quote from this DeepMind article: "Although the success of ViTs in computer vision is extremely impressive, in our view there is no strong evidence to suggest that pre-trained ViTs

The 2D and 3D SynthStrip datasets at w3id.org/synthstrip now include label maps for adult MPRAGE scans! Adrian Dalca MIT CSAIL Mass General Imaging MGH Martinos Center FreeSurfer

Explore the new w3id.org/synthmorph demo on anatomy-aware affine registration! #DeepLearning MIT CSAIL MIT Clinical and Applied Machine Learning MGH Martinos Center FreeSurfer Adrian Dalca

Don't move! Blurry MRI scans can lead to misdiagnoses, or repeat scanning. Benjamin Billot, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski, Ellen Grant, & #JClinic PI Polina Golland introduce EquiTrack, to reduce MRI motion blur ieeexplore.ieee.org/stamp/stamp.js…

#SynthMorph, a new, #AI-based approach to image #registration, is more robust, more accurate, and faster than existing methods. Lead author Malte Hoffmann discusses the tool here: bit.ly/3StuBHc More info: w3id.org/synthmorph Malte Hoffmann Adrian Dalca FreeSurfer

Researchers from MGH Martinos Center developed a new approach to image registration, dubbed #SynthMorph, that takes advantage of #AI to achieve registration that is more robust, accurate, and faster than existing methods. Learn more: youtube.com/watch?v=neCue1… Malte Hoffmann MassGeneral News

No retraining! #AI registration tool synthmorph.io lets you tailor warp regularity to your specific data @MGH_RI MGH Martinos Center MIT CSAIL Adrian Dalca FreeSurfer

.MIT CSAIL PhD student Marianne Rakic's most recent project, Tyche, is a medical image segmentation model that aims at generalizing new tasks & capturing uncertainty in the medical image. Learn more about Marianne and her recent projects: bit.ly/4d6X39t

New synthmorph.io demo! Improve #MRI-CT #NeuroImage registration by clipping the CT scale to boost soft-tissue contrast FreeSurfer MGH Martinos Center @MGH_RI MIT CSAIL Adrian Dalca #DeepLearning

Presenting ScribblePrompt: a lightweight interactive segmentation tool that enables users to perform new biomedical image segmentation tasks using a few bounding boxes, clicks and scribbles, to appear at #ECCV2024 🎉 Work w/ Marianne Rakic, John Guttag and Adrian Dalca 1/

We're eagerly anticipating our next speaker, Malte Hoffmann of Harvard Medical School, who will be exploring synthesis-driven #MachineLEarning for neuroimage #analysis. He's thrown out an intriguing statement: you hardly need any data. #neuroimaging #neurotechnology #neurotech #brain

Here's a comparison of classical versus #DeepLearning for #neuroimaging analysis, courtesy of Malte Hoffmann of Harvard Medical School. #neurotechnology #neurotech #neuroscience #brain

Data? Who needs data? Really, really fascinating presentation by Harvard Medical School's Malte Hoffmann. Note the last bullet on his takeaway slide! Our next speaker is Sandia National Labs' Brad Aimone, who is giving insights into the symbiosis between #NeuromorphicComputing and understanding the #brain.