A5029482362- Dental Radiography and Imaging
- Orthodontics and Dentofacial Orthopedics
- Dental Implant Techniques and Outcomes
- Radiomics and Machine Learning in Medical Imaging
- Facial Trauma and Fracture Management
- Advanced X-ray and CT Imaging
- dental development and anomalies
- Forensic Anthropology and Bioarchaeology Studies
- Artificial Intelligence in Healthcare and Education
- 3D Printing in Biomedical Research
- Dental Education, Practice, Research
- Cellular Mechanics and Interactions
- Medical Imaging and Analysis
- Health and Medical Research Impacts
- Craniofacial Disorders and Treatments
- Meta-analysis and systematic reviews
- Anatomy and Medical Technology
Pitié-Salpêtrière Hospital
2020-2025
Sorbonne Université
2020-2025
Assistance Publique – Hôpitaux de Paris
2020-2025
Institut de Biomécanique Humaine Georges Charpak
2020-2025
École nationale supérieure d'arts et métiers
2020-2025
Sorbonne Paris Cité
2024
Université Paris Cité
2017-2024
Laboratoire Modélisation et Simulation Multi-Echelle
2020-2021
Université Paris-Est Créteil
2020-2021
Centre National de la Recherche Scientifique
2020-2021
ABSTRACT Objective To assess the accuracy of three commercially available and one open‐source deep learning (DL) solutions for automatic tooth segmentation in cone beam computed tomography (CBCT) images patients with multiple dental impactions. Materials Methods Twenty (20 CBCT scans) were selected from a retrospective cohort individuals For each scan, reference four DL segmentations maxillary mandibular teeth obtained. Reference generated by experts using semi‐automatic process....
The increasing use of 3-dimensional (3D) imaging by orthodontists and maxillofacial surgeons to assess complex dentofacial deformities plan orthognathic surgeries implies a critical need for 3D cephalometric analysis. Although promising methods were suggested localize landmarks automatically, concerns about robustness generalizability restrain their clinical use. Consequently, highly trained operators remain needed perform manual landmarking. In this retrospective diagnostic study, we aimed...
Segmentation of anatomical structures on dento-maxillo-facial (DMF) computed tomography (CT) or cone beam (CBCT) scans is increasingly needed in digital dentistry. The main aim this research was to propose and evaluate a novel open source tool called DentalSegmentator for fully automatic segmentation five anatomic DMF CT CBCT scans: maxilla/upper skull, mandible, upper teeth, lower the mandibular canal. A retrospective sample 470 used as training/validation set. performance generalizability...
Abstract Objectives Segmentation of anatomical structures on dento-maxillo-facial (DMF) computed tomography (CT) or cone beam (CBCT) scans is increasingly needed in digital dentistry. The main aim this research was to propose and evaluate a novel open source tool called DentalSegmentator for fully automatic segmentation five anatomic DMF CT CBCT scans: maxilla/upper skull, mandible, upper teeth, lower the mandibular canal. Methods A retrospective sample 470 used as training/validation set....
In some dentofacial deformity patients, especially patients undergoing surgical orthodontic treatments, Computed Tomography (CT) scans are useful to assess complex asymmetry or plan orthognathic surgery. This assessment would be made easier for orthodontists and surgeons with a three-dimensional (3D) cephalometric analysis, which require the localization of landmarks construction reference planes. The objectives this study were manual landmarking repeatability reproducibility (R&R) set 3D...
Abstract The increasing use of three-dimensional (3D) imaging by orthodontists and maxillofacial surgeons to assess complex dentofacial deformities plan orthognathic surgeries implies a critical need for 3D cephalometric analysis. Although promising methods were suggested localize landmarks automatically, concerns about robustness generalizability restrain their clinical use. Consequently, highly trained operators remain needed perform manual landmarking. In this retrospective diagnostic...
ABSTRACT Objectives To evaluate the performance of nnU-Net open-source deep learning framework for automatic multi-task segmentation craniomaxillofacial (CMF) structures in CT scans obtained computer-assisted orthognathic surgery. Methods Four hundred and fifty-three consecutive patients having undergone high-resolution before surgery were randomly distributed among a training/validation cohort ( n = 300) testing 153). The ground truth segmentations generated by 2 operators following an...
Abstract Aims To assess in each European country the correlation between number of Network Erasmus‐Based Orthodontic Postgraduate Programmes (NEBEOP) members and orthodontic research activity. Secondary objectives were to describe quantify Europe's research. Materials methods Articles published 2014 2018 4 major journals ( American Journal Orthodontics Dentofacial Orthopedics, Orthodontics, The Angle Orthodontist, Craniofacial Research ) oral presentation abstracts five Society (EOS)...
Les applications potentielles de l’intelligence artificielle, ces algorithmes visant à améliorer l’efficacité et la sécurité diverses décisions cliniques, sont nombreuses en odontologie. Alors que les premiers logiciels commerciaux commencent être proposés, plupart des n’ont pas été solidement validés pour une utilisation clinique. Cet article décrit enjeux entourant le développement nouveaux outils, afin d’aider praticiens garder un regard éclairé critique sur cette nouvelle approche.
The diagnostic approach to facial asymmetries is classically based, in addition the clinical examination, on a cephalometric analysis carried out frontal radiography. Planning of orthognathic surgery requires three-dimensional (3D) examination visualize deformities. Nevertheless, use 3D imaging remains clinically modest. main objective this study was compare measures obtained from radiographies and patients with asymmetries. Frontal CT scans used for planning 24 were selected. Cephalometric...
The biplanar 2D/3D X-ray technology (BPXR) is a imaging system allowing simultaneous stereo-corresponding posteroanterior (PA) and lateral 2D views of the whole body. aim our study was to assess feasibility cephalometric analysis based on BPXR skull view accurately characterize facial morphology. A total 17 landmarks 11 angles were placed and/or calculated cephalograms 13 patients by three investigators. Five methods angle identification performed: direct construction straight lines (LC-A)...
In some dentofacial deformity patients, especially patients undergoing surgical ortho-dontic treatments, Computed Tomography (CT) scans are useful to assess complex asymmetry or plan orthognathic surgery. This assessment would be made easier for orthodontists and sur-geons with a three-dimensional (3D) cephalometric analysis, which require the localiza-tion of landmarks construction reference planes. The objectives this study were manual landmarking repeatability reproducibility (R&R)...
Numerical simulation of long term orthodontic tooth movement could help clinicians to plan more efficient and mechanically sound treatments (Burstone 2015). It remains a challenge no prospectiv...
When performed several times over the course of an orthodontic or surgical treatment, three-dimensional (3D) imaging like CBCT CT-Scans can be superimposed. The purpose this article is to illustrate implementation voxel-based 3D superimpositions with a clinical case mandibular distraction osteogenesis A 13-year old patient underwent treatment « » distractor. He presented bilateral atrophy his condyles due staphylococcus aureus bacteremia at birth. general and regional were using CT-Scan...