EJNMMI Physics

Papers
(The H4-Index of EJNMMI Physics is 22. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Seracam: characterisation of a new small field of view hybrid gamma camera for nuclear medicine50
Assessing small-lesion detectability and acquisition time optimisation in silicon-detector-Based PET: a phantom study40
Investigation of image-based lesion and kidney dosimetry protocols for 177Lu-PSMA-I&T therapy with and without a late SPECT/CT acquisition39
Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view pet scanner using infrared-based tracking39
Technical opportunities and challenges in developing total-body PET scanners for mice and rats36
Deep learning based bilateral filtering for edge-preserving denoising of respiratory-gated PET36
Deep-learning-based attenuation map generation in kidney single photon emission computed tomography32
Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET30
Optimization of brain PET markerless head motion correction in a large human cohort29
Voxel-based dosimetry for predicting treatment response to transarterial radioembolization in hepatocellular carcinoma: significance of intratumoral dose distribution27
Towards accurate partial volume correction in 99mTc oncology SPECT: perturbation for case-specific resolution estimation27
Investigation of PET image quality with acquisition time/bed and enhancement of lesion quantification accuracy through deep progressive learning27
Development of a bespoke phantom to optimize molecular PET imaging of pituitary tumors27
An international phantom study of inter-site variability in Technetium-99m image quantification: analyses from the TARGET radioembolization study27
CT radiation dose reduction with tin filter for localisation/characterisation level image quality in PET-CT: a phantom study27
Position dependence of recovery coefficients in 177Lu-SPECT/CT reconstructions – phantom simulations and measurements26
Estimation of kidney doses from [177Lu]Lu-DOTA-TATE PRRT using single time point post-treatment SPECT/CT25
Context-level machine learning to improve the identification of lymph node and bone metastases in prostate cancer patients using [18F]PSMA-1007 PET25
Deep learning-based multi-frequency denoising for myocardial perfusion SPECT24
Comparison of a 3D CZT and conventional SPECT/CT system for quantitative Lu-177 SPECT imaging23
Automatic reorientation to generate short-axis myocardial PET images23
Acquisition time/dose reduction in pediatric PET imaging using patch-based deep learning22
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