EJNMMI Physics

Papers
(The H4-Index of EJNMMI Physics is 21. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Aortic valve imaging using 18F-sodium fluoride: impact of triple motion correction41
A multicentre simulation study of planar whole-body bone scintigraphy in Sweden34
Seracam: characterisation of a new small field of view hybrid gamma camera for nuclear medicine30
Small lesion depiction and quantification accuracy of oncological 18F-FDG PET/CT with small voxel and Bayesian penalized likelihood reconstruction30
Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view pet scanner using infrared-based tracking29
Deep-learning-based attenuation map generation in kidney single photon emission computed tomography29
Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET27
Technical opportunities and challenges in developing total-body PET scanners for mice and rats26
Investigation of image-based lesion and kidney dosimetry protocols for 177Lu-PSMA-I&T therapy with and without a late SPECT/CT acquisition26
Deep learning based bilateral filtering for edge-preserving denoising of respiratory-gated PET24
Assessing small-lesion detectability and acquisition time optimisation in silicon-detector-Based PET: a phantom study24
Development of a dynamic myocardial perfusion phantom model for tracer kinetic measurements23
Estimation of kidney doses from [177Lu]Lu-DOTA-TATE PRRT using single time point post-treatment SPECT/CT23
Correction to: Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners23
Development of a bespoke phantom to optimize molecular PET imaging of pituitary tumors22
Investigation of PET image quality with acquisition time/bed and enhancement of lesion quantification accuracy through deep progressive learning22
CT radiation dose reduction with tin filter for localisation/characterisation level image quality in PET-CT: a phantom study22
An international phantom study of inter-site variability in Technetium-99m image quantification: analyses from the TARGET radioembolization study22
Automatic reorientation to generate short-axis myocardial PET images21
Deep learning-based multi-frequency denoising for myocardial perfusion SPECT21
Towards accurate partial volume correction in 99mTc oncology SPECT: perturbation for case-specific resolution estimation21
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