Leon Y. Cai, MD, PhD (@leoncai) 's Twitter Profile
Leon Y. Cai, MD, PhD

@leoncai

PGY-1 @BayviewMedicine | Incoming @hopkinsneurons | @VanderbiltMSTP @MASI_Lab @DukeU alum | Views my own

ID: 300436548

linkhttps://scholar.google.com/citations?user=orIX5CwAAAAJ calendar_today17-05-2011 19:20:01

70 Tweet

310 Followers

341 Following

Daniel Moyer (@dc_moyer) 's Twitter Profile Photo

My favorite view of this paper: Suppose you wanted to find weirdness in a diffusion image/tractography, given the T1w image. Unexpected tracts, strange fiber configurations, etc. You'd need a baseline model for "what to expect in diffusion given T1", right? This is that model.

Francois Rheault (8$™) (@francoisrheault) 's Twitter Profile Photo

For those of you interested in the CD_MRI workshop at MICCAI: if you want to submit your work on dMRI and Tractography, the submission process is open on CMT! You can search for "MICCAI 2023 Workshop on Computational Diffusion MRI".

For those of you interested in the <a href="/CD_MRI/">CD_MRI</a> workshop at MICCAI: if you want to submit your work on dMRI and Tractography, the submission process is open on CMT! 

You can search for "MICCAI 2023 Workshop on Computational Diffusion MRI".
Francois Rheault (8$™) (@francoisrheault) 's Twitter Profile Photo

Hey everyone in diffusion MRI and tractography, if you have a cool project too complex for a 1-page abstract, consider submitting a paper to CD_MRI workshop at MICCAI (deadline by the end of June)! 🇨🇦🧠👨‍🔬👩‍🔬💻🧮🔥

Hey everyone in diffusion MRI and tractography, if you have a cool project too complex for a 1-page abstract, consider submitting a paper to <a href="/CD_MRI/">CD_MRI</a> workshop at MICCAI (deadline by the end of June)!

🇨🇦🧠👨‍🔬👩‍🔬💻🧮🔥
Bennett Landman (Vanderbilt MASI Lab) (@masi_lab) 's Twitter Profile Photo

Our SynB0 distortion correction has been very well received for correcting spatial problems in diffusion weighted MRI when reverse phase encoded scans or field maps are not available. (This "should" not be a problems, but all too often is...). We now release a version for fMRI!/1

Our SynB0 distortion correction has been very well received for correcting spatial problems in diffusion weighted MRI when reverse phase encoded scans or field maps are not available. (This "should" not be a problems, but all too often is...). We now release a version for fMRI!/1
UCSF Center for Intelligent Imaging (@ucsf_ci2) 's Twitter Profile Photo

Learn about SynBOLD-DisCo, a revolutionary deep learning technique developed by UCSF Center for Intelligent Imaging's Dr. Joseph Vu, UCSF Imaging's Dr. Salvatore Torrisi & researchers from Vanderbilt University, Harvard University & University of Sydney in our newest blog post. intelligentimaging.ucsf.edu/news/new-metho…

Learn about SynBOLD-DisCo, a revolutionary deep learning technique developed by <a href="/UCSF_ci2/">UCSF Center for Intelligent Imaging</a>'s Dr. Joseph Vu, <a href="/UCSFImaging/">UCSF Imaging</a>'s Dr. Salvatore Torrisi &amp; researchers from <a href="/VanderbiltU/">Vanderbilt University</a>, <a href="/Harvard/">Harvard University</a> &amp; <a href="/Sydney_Uni/">University of Sydney</a> in our newest blog post. intelligentimaging.ucsf.edu/news/new-metho…
Thomas Li (@_thomasli) 's Twitter Profile Photo

Poster is up at #MICCAI2023! We discuss learning strategies for integrating longitudinal Imaging + EHRs. I will be at the 9:30 AM poster session (T-3-73) and then presenting at 4:30 PM (oral 7). Looking forward to my first MICCAI with Bennett Landman (Vanderbilt MASI Lab)!

Poster is up at #MICCAI2023! We discuss learning strategies for integrating longitudinal Imaging + EHRs. I will be at the 9:30 AM poster session (T-3-73) and then presenting at 4:30 PM (oral 7). Looking forward to my first MICCAI with <a href="/MASI_Lab/">Bennett Landman (Vanderbilt MASI Lab)</a>!
kurt.schilling (@kurtschilling5) 's Twitter Profile Photo

BOLD statements about fMRI in white matter: the whole brain (both gray and white matter) shows signal time locked to tasks…biological? Functional? Artifact? Read here: pnas.org/doi/10.1073/pn…