ArticleIEEE transactions on medical imaging2023
NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI.
Article in IEEE transactions on medical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Fetal brain MRI atlases and datasets: A review.NeuroImage · 2024Pooled it
- Accurate estimation of intravoxel incoherent motion parameters based on implicit neural representation.Medical physics · 2026Article
- [A frequency-adaptive implicit neural representation method for medical image compression].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- Orientation-Aware Diffusion Super-Resolution for 3T-Like Fetal MRI from Routine 1.5T Scans.Proceedings of machine learning research · 2026Article
- Fetal MRI reveals altered prenatal cortical surface area in fetuses later diagnosed with autism spectrum disorder.bioRxiv : the preprint server for biology · 2026Article
- Optimization of fetal brain MRI at 0.55 T with slice-to-volume reconstruction.Magma (New York, N.Y.) · 2026Article
- MRI-based spatio-temporal atlas of ganglionic eminence.European radiology experimental · 2026Article
- Typical development of the human fetal subplate: Regional heterogeneity, growth, and asymmetry assessed by in vivo T2-weighted MRI.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Automatic lateral ventricle and choroid plexus segmentation method in infant brain MR images.BMC medical imaging · 2026Article
- Cross-Modality Whole-Heart MRI Reconstruction with Deep Motion Correction and Super-Resolution.Sensors (Basel, Switzerland) · 2026Article
- Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge.Medical image analysis · 2026Article
- Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Evaluating reliability of automated quantitative brain morphometry from fetal T2-weighted MRI.Frontiers in neuroscience · 2026Article
- Predictive value of foetal superior temporal sulcus asymmetry for neonatal speech discrimination.Brain communications · 2026Article
- cMeta-INR: cohort-informed meta-learning-based implicit neural representation for deformable registration-driven real-time volumetric MRI estimation.Physics in medicine and biology · 2025Article
- Assessing the impact of fetal growth restriction using high-resolution MRI: a comprehensive cortical analysis.BMC pregnancy and childbirth · 2025Article
- Typical development of the human fetal subplate: regional heterogeneity, growth, and asymmetry assessed by in vivo T2-weighted MRI.bioRxiv : the preprint server for biology · 2025Article
- Biometry and volumetry in multi-centric fetal brain magnetic resonance imaging: assessing the bias of super-resolution reconstruction.Pediatric radiology · 2025Article
- Burst of gyrification in the human brain after birth.Communications biology · 2025Article
- Towards automatic US-MR fetal brain image registration with learning-based methods.NeuroImage · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Reconstructing 3D MR volumes from multiple motion-corrupted stacks of 2D slices has shown promise in imaging of moving subjects, e. g., fetal MRI. However, existing slice-to-volume reconstruction methods are time-consuming, especially when a high-resolution volume is desired. Moreover, they are still vulnerable to severe subject motion and when image artifacts are present in acquired slices. In this work, we present NeSVoR, a resolution-agnostic slice-to-volume reconstruction method, which models the underlying volume as a continuous function of spatial coordinates with implicit neural representation. To improve robustness to subject motion and other image artifacts, we adopt a continuous and comprehensive slice acquisition model that takes into account rigid inter-slice motion, point spread function, and bias fields. NeSVoR also estimates pixel-wise and slice-wise variances of image noise and enables removal of outliers during reconstruction and visualization of uncertainty. Extensive experiments are performed on both simulated and in vivo data to evaluate the proposed method. Results show that NeSVoR achieves state-of-the-art reconstruction quality while providing two to ten-fold acceleration in reconstruction times over the state-of-the-art algorithms.
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.