I feel privileged to work with such a cool team of people!

Congratulations to Dr Diana Ortega Diana Ortega Cruz for a superb PhD thesis defence today. Thank you to the tribunal - Chus Ledesma ETSIT-UPM, Alina Solomon University of Eastern Finland, Agustin Ruiz Laza, Juan Eugenio Iglesias and Lidia Blazquez Cajal Laboratory of Cortical Circuits - for a fascinating discussion

New video with a short tutorial on the Data Explorer of NextBrain:
youtube.com/watch?v=pVOfxi…
(thanks Jon Williams-Ramirez for the narration!)
Preprint, data, code, other videos, and much more at:
github-pages.ucl.ac.uk/NextBrain

Research tech job opening in our lab, working on:
- Mapping the human brain.
- Portable MR imaging.
- Big data analysis of underrepresented populations.
Tons of training & travel opportunities.
Apply here (it's OK not to have all the required experience):
partners.taleo.net/careersection/…

It's been fantastic to work with Diana. Congrats on the A&D hattrick!

As usual, great work by Campbell 🍅🥫 Fun paper to read.

New preprint on Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI
arxiv.org/abs/2312.03102
Following recent single-view depth estimation methods, it produces SOTA reconstructions even with extreme inter-slice motion, eg fetal MR
Work spearheaded by Sean Young

Simon Oxenford just added Juan Eugenio Iglesias’s fantastic Easyreg into Lead-DBS – based on the conda environment that ships with Lead-DBS (fantastic work by Ningfei Li Konstantin Butenko and Simon Oxenford).

Results convert to an ANTs warp and hence compatible with WarpDrive.

👏👏

Anastasia Yendiki is the lead PI of the new NIH #BRAINInitiative -funded Center for Large-scale Imaging of Neural Circuits (LINC), which will map the highways & byways of the brain at unprecedented scales. youtube.com/watch?v=FKzwPN… Anastasia Yendiki Mass General Research Institute MassGeneral News

It's such a privilege to get to work with this team.
Check out the editorial, too!
nature.com/articles/s4422…

Super cool to see our thalamic atlas included in the new release!

'Supervision by Denoising' (SUD) is finally out in PAMI:
ieeexplore.ieee.org/document/10197…
Preprint here:
arxiv.org/abs/2202.02952
SUD enhances supervision of reconstruction models using their own denoised output as soft labels. Work with Sean Young, Adrian Dalca Enzo Ferrante & others!