k-strip: A novel segmentation algorithm in k-space for the application of skull stripping

Rempe, Moritz; Mentzel, Florian; Pomykala, Kelsey L.; Haubold, Johannes; Nensa, Felix; Kroeninger, Kevin; Egger, Jan; Kleesiek, Jens

doi:10.1016/j.cmpb.2023.107912

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

k-strip: A novel segmentation algorithm in k-space for the application of skull stripping

Cited by 5 publications

References 32 publications

Classification, Regression and Segmentation Directly from K-Space in Cardiac MRI

Classification, Regression and Segmentation Directly from K-Space in Cardiac MRI

Enhanced Detection of Alzheimer’s and Mild Cognitive Impairment: Leveraging Advanced Preprocessing and Convolutional Neural Networks

Automatic Skull Stripping Using Multidimensional Multi-input Multi-output U-Net Model for Alzheimer’s Disease

Contact Info

Product

Resources

About