ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2021
Modified kernel MLAA using autoencoder for PET-enabled dual-energy CT.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Feasibility of PET-enabled dual-energy CT imaging: First physical phantom and initial patient study results.European journal of nuclear medicine and molecular imaging · 2025Article
- Systematic Review on Learning-based Spectral CT.ArXiv · 2024Article
- Super-resolution techniques for biomedical applications and challenges.Biomedical engineering letters · 2024Review
- Systematic Review on Learning-based Spectral CT.IEEE transactions on radiation and plasma medical sciences · 2024Article
- Super-resolution reconstruction ofProceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Neural KEM: A Kernel Method With Deep Coefficient Prior for PET Image Reconstruction.IEEE transactions on medical imaging · 2023Article
- Deep Kernel Representation for Image Reconstruction in PET.IEEE transactions on medical imaging · 2022Article
- Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction.Nature communications · 2022Article
- Synergistic tomographic image reconstruction: part 2.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Article
- Neural MLAA for PET-enabled Dual-Energy CT Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Combined use of PET and dual-energy CT provides complementary information for multi-parametric imaging. PET-enabled dual-energy CT combines a low-energy X-ray CT image with a high-energy
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.