New brain atlas
After seven (7!) years of work with over 20 researchers at 10 different institutions, we are super excited to release NextBrain, a next-generation probabilistic atlas of the human brain with
New NIH grant
We have very excited to announce that we have been awarded a 3-year NIH grant (1RF1AG080371-01A1) to develop acquisition-independent machine learning for morphometric analysis of
IEEE-TPAMI paper on SUD
It’s been a long journey, but our paper “Supervision by Denoising” (SUD) is available in PAMI! You can also find a preprint here. SUD is fairly easy to implement and allows
Newcomers and promotions
Changes in the LEMoN group! Sean I Young has been promoted to Instructor (congrats, Sean!). We have four incoming postdocs this summer: Kathleen E. Larson, joining from Vanderbilt (jointly
Early accepted papers at MICCAI 2023
Our group has two early accepted papers at MICCAI 2023: “Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI” (Henry Tregidgo et al): presents a
New papers on SynthSeg and SynthSR
Our works on segmentation (SynthSeg) and joint super-resolution & synthesis of brain MRI scans of any orientation, resolution, and pulse sequence have been accepted for publication in
LF-SynthSR featured in Physics World
Our joint synthesis/super-resolution method for low-field MRI acquired with portable scanners has been featured in Physics World! You can read the article . SynthSR is a collaboration with
Radiology paper & editorial
Our paper “Quantitative Brain Morphometry of Portable Low-Field-Strength MRI Using Super-Resolution Machine Learning” has been published in Radiology. We present a machine learning
Press release on consortium grant of the BRAIN Initiative
Check out the press release of our >$100M consortium grant from the BRAIN Initiative:
