Work

Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging

Year: 2024

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-73254-6_19

Authors: Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan E. Iglesias

Institutions: Harvard University, Massachusetts General Hospital, University College London, Massachusetts Institute of Technology

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Wellcome Trust, Lundbeckfonden, National Institutes of Health

Awards: Computational Modelling and Inference of Neurodegenerative Disease Propagation, Open-source software for multi-scale mapping of the human brain

OpenAlex ID: W4404770011

FWCI: 1.864

Cites: 56

Cited by: 9

Related to: 10