ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2021
Deep-Learning Generation of Synthetic Intermediate Projections Improves
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics.European radiology experimental · 2022Pooled it
- Dosimetry-Driven Personalization of Radiopharmaceutical Therapies: Evidence and Opportunities.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Review
- Artificial Intelligence Across the Cancer Theranostics Workflow: Critical Appraisal of Current Evidence and Future Clinical Translation.Molecular imaging and biology · 2026Review
- Applications of artificial intelligence in nuclear medicine.Zeitschrift fur medizinische Physik · 2026Review
- State-of-the-art and future developments in dosimetry for SSTR- and PSMA-targeting radioligand therapies.Zeitschrift fur medizinische Physik · 2026Review
- Towards practical radiopharmaceutical treatment planning: a review of dosimetry simplification techniques.Theranostics · 2026Review
- Shorter SPECT scans using self-supervised coordinate learning to synthesize skipped projection views.EJNMMI physics · 2025Article
- A review of state-of-the-art resolution improvement techniques in SPECT imaging.EJNMMI physics · 2025Review
- A detection-task-specific deep-learning method to improve the quality of sparse-view myocardial perfusion SPECT images.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Investigation of a deep learning-based reconstruction approach utilizing dual-view projection for myocardial perfusion SPECT imaging.American journal of nuclear medicine and molecular imaging · 2025Article
- CTLESS: A scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT.IEEE transactions on medical imaging · 2024Article
- Impact of the Reference Multiple-Time-Point Dosimetry Protocol on the Validity of Single-Time-Point Dosimetry for [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Pareto optimization of SPECT acquisition and reconstruction settings forEJNMMI physics · 2024Article
- Image-based dosimetry for [European journal of nuclear medicine and molecular imaging · 2024Article
- Improvements ofEJNMMI physics · 2024Article
- A Deep-Learning-Based Partial-Volume Correction Method for QuantitativeJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Unified Noise-aware Network for Low-count PET Denoising with Varying Count Levels.IEEE transactions on radiation and plasma medical sciences · 2024Article
- Radiomics and Artificial Intelligence in Radiotheranostics: A Review of Applications for Radioligands Targeting Somatostatin Receptors and Prostate-Specific Membrane Antigens.Diagnostics (Basel, Switzerland) · 2024Review
- Need for objective task-based evaluation of deep learning-based denoising methods: A study in the context of myocardial perfusion SPECT.Medical physics · 2023Article
- Evaluation of reconstruction methods and image noise levels concerning visual assessment of simulated liver lesions inEJNMMI physics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aims of this study were to decrease the
Indexed as
Identifiers
What OpenQuestion holds
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.