ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2018
Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI.
Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- [A vessel-enhanced consistency-preserving diffusion model for 3T-to-7T susceptibility weighted image generation].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- LiteMamba-Synth: lightweight state space models for efficient 3T-to-7T MRI translation.Frontiers in neuroanatomy · 2026Article
- Semi-supervised synthesis of 7T MRI from 3T using 3D FR-U-Net with anatomical segmentation consistency assessment.PloS one · 2025Article
- Improving accelerated 3D imaging in MRI-guided radiotherapy for prostate cancer using a deep learning method.Radiation oncology (London, England) · 2023Article
- DuDoSS: Deep-learning-based dual-domain sinogram synthesis from sparsely sampled projections of cardiac SPECT.Medical physics · 2023Article
- Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains.Medical image analysis · 2020Article
- Dual-domain convolutional neural networks for improving structural information in 3 T MRI.Magnetic resonance imaging · 2019Article
- Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2019Article
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.
Funding
Abstract
Due to the high cost and low accessibility of 7T magnetic resonance imaging (MRI) scanners, we propose a novel dual-domain cascaded regression framework to synthesize 7T images from the routine 3T images. Our framework is composed of two parallel and interactive multi-stage regression streams, where one stream regresses on spatial domain and the other regresses on frequency domain. These two streams complement each other and enable the learning of complex mappings between 3T and 7T images. We evaluated the proposed framework on a set of 3T and 7T images by leave-one-out cross-validation. Experimental results demonstrate that the proposed framework generates realistic 7T images and achieves better results than state-of-the-art methods.
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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.