Automated PET tracer classification in multi-site, multi-cohort studies using deep learning

EJNMMI RESEARCH · Published 2026-07-28 · DOI 10.1186/s13550-026-01486-w

Free full text

Authors (12)

Robel K. Gebre, Robert I. Reid, Matthew L. Senjem, Jeffrey L. Gunter, Val J. Lowe, Kejal Kantarci, Ronald C. Petersen, Jonathan Graff-Radford, Clifford R. Jack, Prashanthi Vemuri, Christopher G. Schwarz, for the Alzheimer’s Disease Neuroimaging Initiative

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Gebre, R., Reid, R., Senjem, M., et al. (2026). Automated PET tracer classification in multi-site, multi-cohort studies using deep learning. EJNMMI RESEARCH. https://doi.org/10.1186/s13550-026-01486-w

Related articles

• First-in-human radiation dosimetry of the GRPR antagonist [68Ga]Ga-NOTA-PEG2-RM26 in patients with prostate and breast cancer · EJNMMI RESEARCH · 2026 · Same journal
• The impact of PSMA-PET/CT on clinical decision-making in primary staging of prostate cancer · EJNMMI RESEARCH · 2026 · Same journal
• From imaging heterogeneity to clinical decision: a novel imaging biomarker based on bone marrow kinetics for advanced NSCLC patients in partial response · EJNMMI RESEARCH · 2026 · Same journal
• Complementary roles of 68Ga-FAPI and 18 F-FDG PET/CT in evaluating IgG4-related disease: a systematic review and pooled analysis · EJNMMI RESEARCH · 2026 · Same journal
• 68Ga-pentixafor PET/CT imaging characteristics in primary aldosteronism with coexisting subclinical cushing syndrome: a retrospective cohort study · EJNMMI RESEARCH · 2026 · Same journal
• Optimization of imaging parameters for Yttrium-90 bremsstrahlung emission computed tomography after selective internal radiotherapy · EJNMMI RESEARCH · 2026 · Same journal
• Development and evaluation of the first-in-class nanobody based PET tracer targeting human inducible T-cell co-stimulator receptor · EJNMMI RESEARCH · 2026 · Same journal
• Toward reproducible metabolic tumor volume quantification in endometrial cancer: optimizing [¹⁸F]FDG PET/CT tumor segmentation methods · EJNMMI RESEARCH · 2026 · Same journal
• Identifying genetics biomarkers in correlation with pathological and PSMA PET/CT characteristics in prostate cancer · EJNMMI RESEARCH · 2026 · Same journal
• Simultaneous partial volume correction and denoising of brain PET images, using transformers and transfer learning · EJNMMI RESEARCH · 2026 · Same journal