SCI时时刷

search
+
Radiological assessment of Sella Turcica morphology correlates with skeletal classes in an Austrian population: an observational study
Radiological assessment of Sella Turcica morphology correlates with skeletal classes in an Austrian population: an observational study
This study aimed to analyze variations in the sella turcica (ST) concerning its size, shape, and bridging, providing first...
How does the direction of region of interest selection affect the fractal dimension?
How does the direction of region of interest selection affect the fractal dimension?
Introduction Fractal analysis (FA) is a computational method used to quantify the complex trabecular structure of bone. Wh...
Automatic segmentation and visualization of cortical and marrow bone in mandibular condyle on CBCT: a preliminary exploration of clinical application
Automatic segmentation and visualization of cortical and marrow bone in mandibular condyle on CBCT: a preliminary exploration of clinical application
To develop a deep learning-based automatic segmentation method for cortex and marrow in mandibular condyle on cone-beam co...
Fractal dimension, lacunarity, and bone area fraction analysis of peri-implant trabecular bone after prosthodontic loading
Fractal dimension, lacunarity, and bone area fraction analysis of peri-implant trabecular bone after prosthodontic loading
To assess the structural alterations in peri-implant bone occurring 5 years after prosthodontic loading in panora...
Evaluation of root canal filling length on periapical radiograph using artificial intelligence
Evaluation of root canal filling length on periapical radiograph using artificial intelligence
This work proposes a novel method to evaluate root canal filling (RCF) success using artificial intelligence (AI) and imag...
Style harmonization of panoramic radiography using deep learning
Style harmonization of panoramic radiography using deep learning
This study aimed to harmonize panoramic radiograph images from different equipment in a single institution to display simi...
Combined external radiotherapy and single-fraction palliative high-dose-rate interstitial brachytherapy for a patient with a base of tongue cancer who had a previous radiation history
Combined external radiotherapy and single-fraction palliative high-dose-rate interstitial brachytherapy for a patient with a base of tongue cancer who had a previous radiation history
Only a few studies have explored whether high-dose-rate interstitial brachytherapy (HDR-ISBT) can be indicated as a pallia...
Effect of metallic materials on magnetic resonance image uniformity: a quantitative experimental study
Effect of metallic materials on magnetic resonance image uniformity: a quantitative experimental study
To assess quantitatively the effect of metallic materials on MR image uniformity using a standardized method. Six types of...
Acceptability of artificial intelligence in dental radiology among patients in India: are we ready for this revolution?
Acceptability of artificial intelligence in dental radiology among patients in India: are we ready for this revolution?
In recent times, artificial Intelligence (AI) has gained popularity in medical as well as dental radiology. Studies have b...
Patients’ attitudes toward artificial intelligence in dentistry and their trust in dentists
Patients’ attitudes toward artificial intelligence in dentistry and their trust in dentists
This study intended to evaluate patients’ attitudes toward the use of AI in dental radiographic detection of occlusa...
Evaluation of fractal analysis and radiomorphometric measurements of mandibular bone structure in bruxism and non-bruxism paediatric patients
Evaluation of fractal analysis and radiomorphometric measurements of mandibular bone structure in bruxism and non-bruxism paediatric patients
The goal of this examination was to compare the impact of probable sleep/awake bruxism on the mandibular trabecular bone s...
The relationship between radiographic measurements of alveolar bone in posterior single-tooth edentulous regions and non-alveolar jawbones using multidetector computed tomography
The relationship between radiographic measurements of alveolar bone in posterior single-tooth edentulous regions and non-alveolar jawbones using multidetector computed tomography
This study aimed to evaluate the relationship between radiographic measurements of the alveolar bone in posterior single-t...
Evaluation of masticatory muscles in patients with different sagittal direction skeletal anomalies by ultrasonography and ultrasonographic elastography
Evaluation of masticatory muscles in patients with different sagittal direction skeletal anomalies by ultrasonography and ultrasonographic elastography
The aim of this study was to evaluated the masseter, anterior digastric and geniohyoid muscles of individuals with similar...
Accuracy of intraoral ultrasound to evaluate alveolar bone level: an ex vivo study in human cadavers
Accuracy of intraoral ultrasound to evaluate alveolar bone level: an ex vivo study in human cadavers
This study aimed to evaluate the reliability and accuracy of an intraoral ultrasound (US) device to evaluate alve...
Spread asymmetry to differentiate nasopalatine duct cysts from radicular cysts arising in the anterior maxilla on computed tomographic images
Spread asymmetry to differentiate nasopalatine duct cysts from radicular cysts arising in the anterior maxilla on computed tomographic images
The aim of this study was to clarify numerical values for differentiating nasopalatine duct cysts (NPDCs) from radicular c...
Arteriovenous fistula of the mandible: a case report
Arteriovenous fistula of the mandible: a case report
Intraosseous arteriovenous malformations (AVM) are uncommon high-flow vascular malformation that can affect the maxilla or...
Improved soft-tissue visibility on cone-beam computed tomography with an image-generating artificial intelligence model using a cyclic generative adversarial network
Improved soft-tissue visibility on cone-beam computed tomography with an image-generating artificial intelligence model using a cyclic generative adversarial network
The objective of this study was to enhance the visibility of soft tissues on cone-beam computed tomography (CBCT) using a ...
Assessing masseter muscle volume and activity in relation to craniofacial morphology: a 3D CBCT study
Assessing masseter muscle volume and activity in relation to craniofacial morphology: a 3D CBCT study
Understanding the factors influencing craniofacial structure growth is crucial for addressing craniofacial deformities. Th...
Deep learning segmentation of mandible with lower dentition from cone beam CT
Deep learning segmentation of mandible with lower dentition from cone beam CT
This study aimed to train a 3D U-Net convolutional neural network (CNN) for mandible and lower dentition segmentation from...
Ultrasonography as an additional tool to localize impacted canines
Ultrasonography as an additional tool to localize impacted canines
Canine impaction is a common dental anomaly that requires a multidisciplinary approach, from diagnosis to treatment. The r...
Evaluation of canalis sinuosus and accessory canal morphology by cone-beam computed tomography
Evaluation of canalis sinuosus and accessory canal morphology by cone-beam computed tomography
To evaluate canalis sinuosus (CS) and accessory canalis sinuosus (AC) morphology and their relationship with the impacted ...
Central dentinogenic ghost cell tumor of the maxilla: a case report with new imaging findings and review of the literature
Central dentinogenic ghost cell tumor of the maxilla: a case report with new imaging findings and review of the literature
A dentinogenic ghost cell tumor (DGCT) is a rare benign odontogenic tumor that commonly shows characteristics of solid pro...
Developing evidence-based clinical imaging guidelines for the diagnosis of vertically fractured teeth
Developing evidence-based clinical imaging guidelines for the diagnosis of vertically fractured teeth
This study aimed to develop an evidence-based clinical imaging guideline for teeth suspected with vertical root fractures....
Deep learning classification performance for diagnosing condylar osteoarthritis in patients with dentofacial deformities using panoramic temporomandibular joint projection images
Deep learning classification performance for diagnosing condylar osteoarthritis in patients with dentofacial deformities using panoramic temporomandibular joint projection images
The present study aimed to assess the consistencies and performances of deep learning (DL) models in the diagnosis of cond...
Accuracy of machine learning in the diagnosis of odontogenic cysts and tumors: a systematic review and meta-analysis
Accuracy of machine learning in the diagnosis of odontogenic cysts and tumors: a systematic review and meta-analysis
The recent impact of artificial intelligence in diagnostic services has been enormous. Machine learning tools offer an inn...
Artificial intelligence for caries detection: a novel diagnostic tool using deep learning algorithms
Artificial intelligence for caries detection: a novel diagnostic tool using deep learning algorithms
The aim of this study was to develop an assessment tool for automatic detection of dental caries in periapical radiographs...
Accessory lingual mental foramen: A case report of a rare anatomic variation
Accessory lingual mental foramen: A case report of a rare anatomic variation
The mandibular nerve and the mental foramen have occasionally shown variations in its anatomy. This report aims to present...
Osteosarcoma associated with cemento-osseous dysplasia: co-incidence or two related entities?
Osteosarcoma associated with cemento-osseous dysplasia: co-incidence or two related entities?
Osteosarcoma of the jaws is a rare primary malignant tumor of bone. The clinical, radiological and histopathological featu...
Correction: Monte Carlo simulations of organ and effective doses and dose–length product for dental cone-beam CT
Correction: Monte Carlo simulations of organ and effective doses and dose–length product for dental cone-beam CT
Department of Radiation Science, Hirosaki University Graduate School of Health Sciences, 66-1, Hon-cho, Hirosaki, 036-8564...
Comparing the accuracy of two machine learning models in detection and classification of periapical lesions using periapical radiographs
Comparing the accuracy of two machine learning models in detection and classification of periapical lesions using periapical radiographs
Previous deep learning-based studies were mainly conducted on detecting periapical lesions; limited information in classif...
阅读更多
format_indent_increase