ArticleFrontiers in pediatrics2021
Automatic Facial Recognition of Williams-Beuren Syndrome Based on Deep Convolutional Neural Networks.
Article in Frontiers in pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- A Del(5PNAS nexus · 2025Article
- Review
- Optimization and evaluation of facial recognition models for Williams-Beuren syndrome.European journal of pediatrics · 2024Article
- Automated Multi-Class Facial Syndrome Classification Using Transfer Learning Techniques.Bioengineering (Basel, Switzerland) · 2024Article
- Transfer Learning in Cancer Genetics, Mutation Detection, Gene Expression Analysis, and Syndrome Recognition.Cancers · 2024Review
- Revolutionizing congenital central hypoventilation syndrome screening: the potential of machine learning approaches.Pediatric research · 2024Article
- Computer-based facial recognition as an assisting diagnostic tool to identify children with Noonan syndrome.BMC pediatrics · 2024Article
- Enhancing Variant Prioritization in VarFish through On-Premise Computational Facial Analysis.Genes · 2024Article
- Article
- Development and validation of a risk prediction model for cage subsidence after instrumented posterior lumbar fusion based on machine learning: a retrospective observational cohort study.Frontiers in medicine · 2023Article
- Facial features of lysosomal storage disorders.Expert review of endocrinology & metabolism · 2022Article
- Neural Networks for Classification and Image Generation of Aging in Genetic Syndromes.Frontiers in genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.