A strategy of CT exam protocol to standardize groups of scanners using automated noise assessment and noise prediction for CT radiotherapy simulation

Authors

Seng Boh Lim (ORCID: https://orcid.org/0000-0002-4054-8789)
Hsiang‐Chi Kuo (ORCID: https://orcid.org/0000-0003-0063-2473)
P. Tamas
Assen S. Kirov (ORCID: https://orcid.org/0000-0001-6521-3582)
Sean L. Berry (ORCID: https://orcid.org/0000-0002-6892-5865)
Cesar Della Biancia
Michael Cebisch
Laura Cervino
U Mahmood
Jean M Moran (ORCID: https://orcid.org/0000-0001-9668-7326)
Xiang Li (ORCID: https://orcid.org/0000-0002-6895-6418)

Institutions

Memorial Sloan Kettering Cancer Center (US)

Publication Details

Journal: Biomedical Physics & Engineering Express
Published: 2026-04-21
DOI: https://doi.org/10.1088/2057-1976/ae6273
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Memorial Sloan-Kettering Cancer Center

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article

A strategy of CT exam protocol to standardize groups of scanners using automated noise assessment and noise prediction for CT radiotherapy simulation

Seng Boh Lim, Hsiang‐Chi Kuo, P. Tamas, Assen S. Kirov et al.

Apr 21, 2026

Biomedical Physics & Engineering Express

Radiomics and Machine Learning in Medical Imaging

article

A strategy of CT exam protocol to standardize groups of scanners using automated noise assessment and noise prediction for CT radiotherapy simulation

Seng Boh Lim, Hsiang‐Chi Kuo, P. Tamas, Assen S. Kirov, Sean L. Berry, Cesar Della Biancia, Michael Cebisch, Laura Cervino, U Mahmood, Jean M Moran, Xiang Li

April 21, 2026article en

Abstract

No abstract available for this paper.

Biomedical Physics & Engineering ExpressVol. 12(3)

Memorial Sloan Kettering Cancer Center (US)

Memorial Sloan-Kettering Cancer Center

Openalex Percentile: Top 21%

Radiomics and Machine Learning in Medical Imaging

DOI Source OpenAlex

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