HMS-CardiacMR/MyoMapNet

We implemented a FC that uses pixel-wise T1-weighted signals and corresponding inversion time to estimate T1 values from a limited number of T1-weighted images. we studied how training the model using native, post-contrast T1 and a combination of both could impact performance of the MyoMapNet. We also explored two choices of number of T1 weighte…

PythonDockerfileShell
This is stars and forks stats for /HMS-CardiacMR/MyoMapNet repository. As of 06 May, 2024 this repository has 22 stars and 44 forks.

MyoMapNet: A Deep Learning Based T1 Estimation Approach in Four Heartbeats We implemented a FC that uses pixel-wise T1-weighted signals and corresponding inversion time to estimate T1 values from a limited number of T1-weighted images. After a rigorous training using in-vivo T1 maps of 607 patients, undergoing clinical cardiac MR exams, collected by MOLLI, the performance of MyoMapNet was evaluated using in-vivo data of 61 patients by discarding the additional T1-weighted images from MOLLI. The inline...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
second-state/microservice-rust-mysqlRustHTMLJavaScript3030460
ThePrimeagen/vim-royaleRustTypeScriptLua4020220
outr/scribeScalaJavaShell4810380
biox/paShell4770160
nikvdp/pbproxyShell253070
justjake/GaussSwiftMakefileShell1.3k0320
homematic-community/hm_pdetectTclShellCSS71060
Cameri/nostreamTypeScriptHTMLJavaScript66301590
SalahAssana/LetheCC++Makefile140470
Silcott/PORTFOLIO-OF-PROJECTSC#JavaScriptHTML19030