ArticleProceedings of machine learning research2024
E(3) × SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI.
Article in Proceedings of machine learning research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Deep Learning for fODF Estimation in Infant Brains: Model Comparison, Ground-Truth Impact, and Domain Shift Mitigation.Human brain mapping · 2025Article
- A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRI.Medical image analysis · 2025Article
- Implicit neural representation of multi-shell constrained spherical deconvolution for continuous modeling of diffusion MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Equivariant spherical CNNs for accurate fiber orientation distribution estimation in neonatal diffusion MRI with reduced acquisition time.Frontiers in neuroscience · 2025Article
- SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI.IEEE transactions on medical imaging · 2024Article
- Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study.Medical image analysis · 2024Article
- Diffusion MRI with Machine Learning.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Sparse Blind Spherical Deconvolution of diffusion weighted MRI.Frontiers in neuroscience · 2024Article
- Deep learning microstructure estimation of developing brains from diffusion MRI: a newborn and fetal study.bioRxiv : the preprint server for biology · 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
3 authors.
Funding
Abstract
We present Roto-Translation Equivariant Spherical Deconvolution (RT-ESD), an
Indexed as
Identifiers
38419749PMC10901527What 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.