Work

A 3D Dense-U-Net for fully automated 5D flow MRI segmentation

Year: 2023

Type: conference-paper

Source: Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

DOI: 10.58530/2022/0331

Authors: Liliana Ma, Haben Berhane, Justin Baraboo, Michael Sugimura, Christopher Roy, Mariana Falcão, Jérôme Yerly, Matthias Stuber, Michael Markl

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

OpenAlex ID: W4385555833

FWCI:

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