Work

Sampling-free Monte Carlo dropout approximation for single-pass uncertainty quantification in deep learning-based PET reconstructions

Year: 2026

Type: article

Source: Physics in Medicine and Biology

DOI: 10.1088/1361-6560/aebfef

Authors: Stephen Z Liu, Mengxi Zhang, Deepak Bharkhada, Yifan Zheng, Vladimir Panin, Paul J Schleyer, Maurizio Conti

Institution: Siemens Healthcare (United States)

Language: English

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: closed

OpenAlex ID: W7225641315

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