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Dento Maxillo Facial Radiology|January 20, 2016
Vascularity as assessed by Doppler intraoral ultrasound around the invasion front of tongue cancer is a predictor of pathological grade of malignancy and cervical lymph node metastasisChika Yamamoto, Kenji Yuasa, Kazuhiko Okamura, et al.
Dento Maxillo Facial Radiology|March 24, 2016
The value of thyroid shielding in intraoral radiographyReinier C Hoogeveen, Bart Hazenoot, Gerard C H Sanderink, et al.
Dento Maxillo Facial Radiology|March 24, 2016
Evaluation of the effects of positioning and configuration on contrast-to-noise ratio in the quality control of a 3D Accuitomo 170 dental CBCT systemCatherine Taylor
Dento Maxillo Facial Radiology|May 27, 2016
Accuracy of cone beam computed tomography in following simulated autogenous graft resorption in maxillary sinus augmentation procedure: an ex vivo studySanja Umanjec-Korac, Azin Parsa, Aria Darvishan Nikoozad, et al.
Dento Maxillo Facial Radiology|August 11, 2016
Correlation between the lateral pterygoid muscle attachment type and temporomandibular joint disc position in magnetic resonance imagingMonika Litko, Jacek Szkutnik, Marcin Berger, et al.
Dento Maxillo Facial Radiology|February 5, 2025
Advancing periodontal diagnosis: harnessing advanced artificial intelligence for patterns of periodontal bone loss in cone-beam computed tomographySevda Kurt-Bayrakdar, İbrahim Şevki Bayrakdar, Alican Kuran, et al.
Dento Maxillo Facial Radiology|February 11, 2025
Deep learning-based segmentation of the mandibular canals in cone-beam CT reaches human-level performanceWiebke Semper-Hogg, Alexander Rau, Marc Anton Fuessinger, et al.
Dento Maxillo Facial Radiology|November 28, 2024
Application of radiomics features in differential diagnosis of odontogenic cystsDerya İçöz, Bilgün Çetin, Kevser Dinç
Dento Maxillo Facial Radiology|November 28, 2024
Converting dose-area product to effective dose in dental cone-beam computed tomography using organ-specific deep learningRuben Pauwels
Dento Maxillo Facial Radiology|November 26, 2024
Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandiblesMatheus L Oliveira, Susanne Schaub, Dorothea Dagassan-Berndt, et al.
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