Work

Automated segmentation of midbrain structures with high iron content

Year: 2017

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2017.06.016

Authors: Benjamín Garzón, Rouslan Sitnikov, Lars Bäckman, Grégoria Kalpouzos

Institutions: Stockholm University, Karolinska Institutet, Karolinska University Hospital

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Alexander von Humboldt-Stiftung, Stichting af Jochnick Foundation, Gun och Bertil Stohnes Stiftelse, Stiftelsen för Gamla Tjänarinnor, Karolinska Institutet, Vetenskapsrådet

Award: G6174033108

OpenAlex ID: W2622101840

FWCI: 1.224

Cites: 46

Cited by: 25

Related to: 10