Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Automatic analysis of local nasal features in 22q11.2DS affected individuals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference - 1 Jan 2009

Wu Jia, Wilamowska Katarzyna, Shapiro Linda, Heike Carrie

Abstract excerpt

The 22q11.2 deletion syndrome is a common genetic condition with an estimated prevalence between 1:2000 and 1:6000 live births in the US. The syndrome is manifested in multiple different craniofacial features. The nasal area is known to play a role in assessing the extent of dysmorphology of an i...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Automation
Share to Chromosome Deletion

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Chromosomes, Human, Pair 22

Share to Imaging, Three-Dimensional

Share to Infant

Share to Pattern Recognition, Automated

Source

Identifiers

PMID: 19964306
DOI: 10.1109/IEMBS.2009.5333755

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-19964306-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Automatic analysis of local nasal features in 22q11.2DS affected individuals.PMID 19964306Read ↗

Craniofacial features of 3q29 deletion syndrome: Application of next-generation phenotyping technology.Semantic proximity Read ↗

Craniofacial features of 3q29 deletion syndrome: application of next generation phenotyping technologySemantic proximity Read ↗

Comparing 2D and 3D representations for face-based genetic syndrome diagnosisSemantic proximity Read ↗

Facial features in children with the 22q11 deletion syndrome.Semantic proximity Read ↗

Craniofacial Syndrome Identification Using Convolutional Mesh AutoencodersSemantic proximity Read ↗

Discriminating power of localized three-dimensional facial morphology.Semantic proximity Read ↗

Recognition of the Cornelia de Lange syndrome phenotype with facial dysmorphology novel analysis.Semantic proximity Read ↗

Objective differential diagnosis of Noonan and Williams-Beuren syndromes in diverse populations using quantitative facial phenotyping.Semantic proximity Read ↗

Static and Motion Facial Analysis for Craniofacial Assessment and Diagnosing Diseases.Semantic proximity Read ↗

Comparing facial feature extraction methods in the diagnosis of rare genetic syndromesSemantic proximity Read ↗

Fine-grained facial phenotype-genotype analysis in Wolf-Hirschhorn syndrome.Semantic proximity Read ↗

AI-Based Procedure for the Assessment of Voice Characteristics in Genetic SyndromesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.