Work

Non-central chi likelihood loss for quantitative MRI from parallel acquisitions with self-supervised deep learning

Year: 2024

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: 10.58530/2024/1766

Authors: Christopher Parker, Daniel Alexander, Hui Zhang

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4404743649

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