A machine learning-based model for a dose point kernel calculation.

Authors:
Scarinci I; Valente M; Pérez P.

Journal:
EJNMMI Phys

Publication Year: 2023

DOI:
10.1186/s40658-023-00560-9

PMCID:
PMC10293553

PMID:
37358735

View on PubMed View on PMC View Publisher
Journal Information

Full Title: EJNMMI Phys

Abbreviation: EJNMMI Phys

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Radiology, Nuclear Medicine & Medical Imaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Related Papers from Same Journal
3D printed non-uniform anthropomorphic phantoms for quantitative SPECT.
Jessen L; Gustafsson J; Ljungberg M and 3 more (2024) - Transparency Score: 3/6
Biodistribution and radiation dosimetry of <sup>124</sup>I-mIBG in adult patients with neural crest…
Moraitis A; Jentzen W; Reiter G and 8 more (2024) - Transparency Score: 3/6
Clinical feasibility study of early 30-minute dynamic FDG-PET scanning protocol for patients with l…
Du F; Wumener X; Zhang Y and 10 more (2024) - Transparency Score: 3/6
Feasibility of <sup>177</sup>Lu activity quantification using a small portable CZT-based gamma-came…
Roth D; Larsson E; Strand J and 2 more (2024) - Transparency Score: 3/6
Feasibility study of a SiPM-fiber detector for non-invasive measurement of arterial input function …
de Scals S; Fraile LM; Udías JM and 6 more (2024) - Transparency Score: 3/6
View All Papers from This Journal
Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Declarations Ethics approval and consent to participateNot applicable Consent to participateNot applicable Consent to publishNot applicable Competing interestsThe authors have no relevant financial or non-financial interests to disclose. Competing interests The authors have no relevant financial or non-financial interests to disclose."

Evidence found in paper:

"Funding This work was supported by project grant 33620180100366CB from SeCyT Universidad Nacional de Córdoba, Argentina; and project grants DI 21-0068 and DI 21-1005 from Universidad de La Frontera, Chile."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025