ArticleProceedings. IEEE International Symposium on Biomedical Imaging2023
Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- SurfNet: Reconstruction of Cortical Surfaces via Coupled Diffeomorphic Deformations.IEEE transactions on medical imaging · 2025Article
- SegCSR: WEAKLY-SUPERVISED CORTICAL SURFACES RECONSTRUCTION FROM BRAIN RIBBON SEGMENTATIONS.Proceedings. IEEE International Symposium on Biomedical Imaging · 2025Article
- SurfNet: Reconstruction of Cortical Surfaces via Coupled Diffeomorphic Deformations.bioRxiv : the preprint server for biology · 2025Article
- Cycle-consistent Learning for Fetal Cortical Surface Reconstruction.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
- Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation.Advances in neural information processing systems · 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
To achieve fast, robust, and accurate reconstruction of the human cortical surfaces from 3D magnetic resonance images (MRIs), we develop a novel deep learning-based framework, referred to as
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.