ArticleJournal of medical imaging (Bellingham, Wash.)2021
Impact of deep learning-based image super-resolution on binary signal detection.
Article in Journal of medical imaging (Bellingham, Wash.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
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Who cites it
18 citing papers in PubMed.
- A multi-stage deep learning framework for half-detector truncation and metal artifact reduction in CBCT.Medical physics · 2026Article
- Article
- Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2025Article
- Continuous representation-based reconstruction for computed tomography.Medical physics · 2025Article
- 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
- Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024Article
- Investigating the use of signal detection information in supervised learning-based image denoising with consideration of task-shift.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Task-based assessment for neural networks: evaluating undersampled MRI reconstructions based on human observer signal detection.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Deep-learning-based image super-resolution of an end-expandable optical fiber probe for application in esophageal cancer diagnostics.Journal of biomedical optics · 2024Article
- Application of learned ideal observers for estimating task-based performance bounds for computed imaging systems.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography.IEEE transactions on computational imaging · 2024Article
- Tensor Ring Based Image Enhancement.Journal of medical signals and sensors · 2024Article
- Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach.Physics in medicine and biology · 2023Article
- Comparison of computed tomography image features extracted by radiomics, self-supervised learning and end-to-end deep learning for outcome prediction of oropharyngeal cancer.Physics and imaging in radiation oncology · 2023Article
- Need for objective task-based evaluation of deep learning-based denoising methods: A study in the context of myocardial perfusion SPECT.Medical physics · 2023Article
- Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics.IEEE transactions on medical imaging · 2023Article
- A minimum SNR criterion for computed tomography object detection in the projection domain.Medical physics · 2022Article
- A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods.IEEE transactions on medical imaging · 2022Article
Corrections and comments
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Authors and funding
5 authors.
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Abstract
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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.