ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2022
Fully Automated, Semantic Segmentation of Whole-Body
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05912465 (The Role of 18F-FDG PET/CT in the Early Prediction of Cachexia in Lung Cancer Patients), which is not on this map. Cited by 76 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Role of 18F-FDG PET/CT in the Early Prediction of Cachexia in Lung Cancer Patients
Who cites it
76 citing papers in PubMed.
- In search of truth: evaluating concordance of AI-based anatomy segmentation models.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- CT-derived body composition predicts futile upfront resection in pancreatic cancer: a multicenter study.European radiology · 2026Article
- Whole-bodyEuropean journal of nuclear medicine and molecular imaging · 2026Article
- Pre-therapeutic prediction of cachexia in lymphoma patients using [European journal of clinical nutrition · 2026Article
- Applications of artificial intelligence in nuclear medicine.Zeitschrift fur medizinische Physik · 2026Review
- Dosimetry inJournal of clinical medicine · 2026Review
- Sex- and Age-Related Differences in Physiological [Bioengineering (Basel, Switzerland) · 2026Article
- Clinical application of AI for lung lobe segmentation and functional quantification with SPECT/CT: open-source versus custom models.Scientific reports · 2026Article
- Adaptive patch sampling and location-aware reasoning for whole body PET-CT multi-organ segmentation.Scientific reports · 2026Article
- Validation of a Deep-Learning Coregistration Framework for Long-Axial-Field-of-View PET/CT Using Low-Radiation-Exposure Protocols Across Various Tracers.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Article
- Sharing a whole-/total-body [Scientific data · 2026Article
- Comparison of multi-organ CT image segmentation tools for whole-body [European journal of nuclear medicine and molecular imaging · 2026Article
- Characterization of body composition dynamics throughout treatment in patients with early-stage breast cancer.NPJ breast cancer · 2026Article
- Deep Learning for Analysis of Bone Marrow Adiposity: Breakthroughs from Recent Large-Scale Analyses in the UK Biobank.Current osteoporosis reports · 2026Review
- AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain Generalization.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Article
- Total-body [European journal of nuclear medicine and molecular imaging · 2026Article
- Explainable AI in nuclear medicine.European journal of nuclear medicine and molecular imaging · 2026Article
- Full-scale indexing and semantic annotation of CT imaging: boosting FAIRness.BMC medical informatics and decision making · 2026Article
- Segmentation method comparison for baseline [EJNMMI physics · 2026Article
- Comparison of Automatic Segmentation and Preprocessing Approaches for Dynamic Total-Body 3D Pet Images with Different Pet Tracers.Journal of imaging informatics in medicine · 2026Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
We introduce multiple-organ objective segmentation (MOOSE) software that generates subject-specific, multiorgan segmentation using data-centric artificial intelligence principles to facilitate high-throughput systemic investigations of the human body via whole-body PET imaging.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.