Keyword search (4,164 papers available)

"detection" Keyword-tagged Publications:

Title Authors PubMed ID
1 Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study Wu G; Eastwood CA; Cheligeer C; Southern DA; Zeng Y; Ghali WA; Bakal JA; Boussat B; Flemons W; Forster A; Xu Y; Quan H; 41592994
CONCORDIA
2 Reliability of Comprehensive Facial Soft Tissue Landmark Detection and Analysis Using Frontal View Photographs Hassanzadeh-Samani S; Pirayesh Z; Motie P; Ghorbanimehr MS; Farzan A; Mohammad-Rahimi H; Behnaz M; Motamedian SR; 40975629
ENCS
3 Microfluidic Liquid Biopsy Minimally Invasive Cancer Diagnosis by Nano-Plasmonic Label-Free Detection of Extracellular Vesicles: Review Neriya Hegade KP; Bhat RB; Packirisamy M; 40650129
ENCS
4 Real-time motion detection using dynamic mode decomposition Mignacca M; Brugiapaglia S; Bramburger JJ; 40421310
MATHSTATS
5 All-Inclusive Sensing Tablet with Integrated Passive Mixer for Ultraviscous Solutions Safiabadi Tali SH; Al-Kassawneh M; Mansouri M; Sadiq Z; Jahanshahi-Anbuhi S; 40327804
ENCS
6 Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism Cheligeer C; Southern DA; Yan J; Wu G; Pan J; Lee S; Martin EA; Jafarpour H; Eastwood CA; Zeng Y; Quan H; 40105654
ENCS
7 Face Boundary Formulation for Harmonic Models: Face Image Resembling Huang HT; Li ZC; Wei Y; Suen CY; 39852327
CONCORDIA
8 Semantically-Enhanced Feature Extraction with CLIP and Transformer Networks for Driver Fatigue Detection Gao Z; Chen X; Xu J; Yu R; Zhang H; Yang J; 39771685
ENCS
9 Non-invasive paper-based sensors containing rare-earth-doped nanoparticles for the detection of D-glucose López-Peña G; Ortiz-Mansilla E; Arranz A; Bogdan N; Manso-Silván M; Martín Rodríguez E; 38729020
CHEMBIOCHEM
10 Brain tumor detection based on a novel and high-quality prediction of the tumor pixel distributions Sun Y; Wang C; 38493601
ENCS
11 Tailoring plasmonic sensing strategies for the rapid and sensitive detection of hypochlorite in swimming water samples Sadiq Z; Al-Kassawneh M; Safiabadi Tali SH; Jahanshahi-Anbuhi S; 38451315
ENCS
12 Deep learning approach to security enforcement in cloud workflow orchestration El-Kassabi HT; Serhani MA; Masud MM; Shuaib K; Khalil K; 36691661
ENCS
13 Unique Photoactivated Time-Resolved Response in 2D GeS for Selective Detection of Volatile Organic Compounds Mohammadzadeh MR; Hasani A; Jaferzadeh K; Fawzy M; De Silva T; Abnavi A; Ahmadi R; Ghanbari H; Askar A; Kabir F; Rajapakse RKND; Adachi MM; 36658730
PHYSICS
14 Gold Nanoparticles-Based Colorimetric Assays for Environmental Monitoring and Food Safety Evaluation Sadiq Z; Safiabadi Tali SH; Hajimiri H; Al-Kassawneh M; Jahanshahi-Anbuhi S; 36629748
ENCS
15 Stable Cavitation-Mediated Delivery of miR-126 to Endothelial Cells He S; Singh D; Yusefi H; Helfield B; 36559150
BIOLOGY
16 Novelty detection in rover-based planetary surface images using autoencoders Stefanuk B; Skonieczny K; 36313243
ENCS
17 A Deep Learning Approach to Capture the Essence of Candida albicans Morphologies Bettauer V; Costa ACBP; Omran RP; Massahi S; Kirbizakis E; Simpson S; Dumeaux V; Law C; Whiteway M; Hallett MT; 35972285
BIOLOGY
18 Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection Rjoub G; Wahab OA; Bentahar J; Cohen R; Bataineh AS; 35875592
ENCS
19 Microfluidic Platforms for the Isolation and Detection of Exosomes: A Brief Review Raju D; Bathini S; Badilescu S; Ghosh A; Packirisamy M; 35630197
ENCS
20 Knowledge distillation approach towards melanoma detection Khan MS; Alam KN; Dhruba AR; Zunair H; Mohammed N; 35594685
CONCORDIA
21 Extending Effective Dynamic Range of Hyperspectral Line Cameras for Short Wave Infrared Imaging Shaikh MS; Jaferzadeh K; Thörnberg B; 35270968
ENCS
22 Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images Bourouis S; Alharbi A; Bouguila N; 34460578
ENCS
23 X-Vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection From Speech Jeancolas L; Petrovska-Delacrétaz D; Mangone G; Benkelfat BE; Corvol JC; Vidailhet M; Lehéricy S; Benali H; 33679361
PERFORM
24 A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset. Rahman A, Zunair H, Reme TR, Rahman MS, Mahdy MRC 33465520
ENCS
25 Bound detergent molecules in bacterial reaction centers facilitate detection of tetryl explosive. Modafferi D, Zazubovich V, Kálmán L 32632533
PHYSICS
26 Two-stage ultrasound image segmentation using U-Net and test time augmentation. Amiri M; Brooks R; Behboodi B; Rivaz H; 32350786
IMAGING
27 How do landscape context and fences influence roadkill locations of small and medium-sized mammals? Plante J, Jaeger JAG, Desrochers A 30711836
GEOGRAPHY
28 Cluster based statistical feature extraction method for automatic bleeding detection in wireless capsule endoscopy video. Ghosh T, Fattah SA, Wahid KA, Zhu WP, Ahmad MO 29407997
IMAGING
29 Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment. Dansereau CL, Bellec P, Lee K, Pittau F, Gotman J, Grova C 25565949
PERFORM
30 Detection and Magnetic Source Imaging of Fast Oscillations (40-160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients. von Ellenrieder N, Pellegrino G, Hedrich T, Gotman J, Lina JM, Grova C, Kobayashi E 26830767
PERFORM

 

Title:Reliability of Comprehensive Facial Soft Tissue Landmark Detection and Analysis Using Frontal View Photographs
Authors:Hassanzadeh-Samani SPirayesh ZMotie PGhorbanimehr MSFarzan AMohammad-Rahimi HBehnaz MMotamedian SR
Link:https://pubmed.ncbi.nlm.nih.gov/40975629/
DOI:10.1016/j.ejwf.2025.07.732
Publication:Journal of the World federation of orthodontists
Keywords:Facial Symmetry analysisIntraclass correlation coefficientSoft tissue landmark detection
PMID:40975629 Category: Date Added:2025-09-21
Dept Affiliation: ENCS
1 Dentofacial Deformities Research Center, Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2 Department of Orthodontics and Dentofacial Orthopedics, School of Dentistry, Zanjan University of Medical Sciences, Zanjan, Iran.
3 Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
4 Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada.
5 Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.
6 Dentofacial Deformities Research Center, Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: drmotamedian@gmail.com.

Description:

Background: Facial soft tissue analysis plays a vital role in orthodontics, orthognathic surgeries, and forensic anthropology. This study aimed to determine a standardized midline to assess the reliability of symmetry analysis in frontal view photographs. Additionally, it evaluated the consistency of soft tissue landmark detection and analysis between different observers and over time.

Methods: A power analysis determined the need for a total of 50 standardized frontal-view photographs. These photographs were obtained from Iranian patients aged 9-40 who were undergoing orthodontic treatment. Thirty-seven standardized landmarks were annotated across the face, facilitating 73 distinct facial analyses. Five midlines were compared to identify the most reliable one for symmetry assessments. A Python-based automated framework was created to calculate the analyses based on landmarks' x and y coordinates. Inter-observer and intra-observer reliability were assessed using Intraclass Correlation Coefficient (ICC) and Mean Absolute Deviation (MAD) metrics.

Results: Among the 5 midlines for symmetry analysis, the perpendicular of the interpupillary line passing through the glabella was found to be the most reliable. Overall, the analyses demonstrated relatively good reliability. However, certain landmark points, specifically Gonion (Go), Malar Eminence (ME), Zygion (Zy'), Frontotemporale (Ft'L), and Trichion (Tr'), exhibited lower reliability. Consequently, the reliability of specific analyses, including Bizygomatic width/Facial width, Nasal bridge width/ Endocanthions' distance, and horizontal symmetry of Go', N', and Zy' was reduced.

Conclusion: This study presents a comprehensive collection of soft tissue landmarks, facial analyses, and their corresponding inter- and intra-observer reliability. Furthermore, the most reliable facial midline for symmetry analysis was determined. This study demonstrated that certain indices defined in three dimensions have lower reliability when drawn in 2-dimensional images, affecting the reliability of derived analyses.





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University