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1.
A cycle generative adversarial network for generating synthetic contrast-enhanced computed tomographic images from non-contrast images in the internal jugular lymph node-bearing area.
Odontology
; 2024 Apr 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-38607582
2.
Deep learning system for distinguishing between nasopalatine duct cysts and radicular cysts arising in the midline region of the anterior maxilla on panoramic radiographs.
Imaging Sci Dent
; 54(1): 33-41, 2024 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-38571775
3.
Does ultrasound elastography have a role as a diagnostic method for Sjögren's syndrome in the salivary glands? A systematic review.
Oral Radiol
; 40(3): 329-341, 2024 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-38308723
4.
Unusual imaging appearance of cemental tear in the maxillary first molar on cone-beam computed tomography: A case report.
Aust Endod J
; 50(1): 157-162, 2024 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-37964478
5.
Differences in the panoramic appearance of cleft alveolus patients with or without a cleft palate.
Imaging Sci Dent
; 54(1): 25-31, 2024 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-38571781
6.
Effect of deep transfer learning with a different kind of lesion on classification performance of pre-trained model: Verification with radiolucent lesions on panoramic radiographs.
Imaging Sci Dent
; 53(1): 27-34, 2023 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-37006785
7.
Detection of unilateral and bilateral cleft alveolus on panoramic radiographs using a deep-learning system.
Dentomaxillofac Radiol
; 52(8): 20210436, 2023 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-35076259
8.
Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolus.
Oral Radiol
; 39(2): 349-354, 2023 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-35984588
9.
Segmentation of metastatic cervical lymph nodes from CT images of oral cancers using deep-learning technology.
Dentomaxillofac Radiol
; 51(4): 20210515, 2022 May 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-35113725
10.
Efficacy of a deep leaning model created with the transfer learning method in detecting sialoliths of the submandibular gland on panoramic radiography.
Oral Surg Oral Med Oral Pathol Oral Radiol
; 133(2): 238-244, 2022 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-34580021
11.
Preliminary Study on the Diagnostic Performance of a Deep Learning System for Submandibular Gland Inflammation Using Ultrasonography Images.
J Clin Med
; 10(19)2021 Sep 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-34640523
12.
Automatic detection of cervical lymph nodes in patients with oral squamous cell carcinoma using a deep learning technique: a preliminary study.
Oral Radiol
; 37(2): 290-296, 2021 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-32506212
13.
Deep learning object detection of maxillary cyst-like lesions on panoramic radiographs: preliminary study.
Oral Radiol
; 37(3): 487-493, 2021 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-32948938
14.
Computed tomographic features of synovial chondromatosis of the temporomandibular joint with a few small calcified loose bodies.
Oral Radiol
; 37(2): 236-244, 2021 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-32303973
15.
Effects of 1 year of training on the performance of ultrasonographic image interpretation: A preliminary evaluation using images of Sjögren syndrome patients.
Imaging Sci Dent
; 51(2): 129-136, 2021 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-34235058
16.
Detection and classification of unilateral cleft alveolus with and without cleft palate on panoramic radiographs using a deep learning system.
Sci Rep
; 11(1): 16044, 2021 08 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-34363000
17.
Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs.
Dentomaxillofac Radiol
; 50(1): 20200171, 2021 Jan 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-32618480
18.
Deep learning systems for detecting and classifying the presence of impacted supernumerary teeth in the maxillary incisor region on panoramic radiographs.
Oral Surg Oral Med Oral Pathol Oral Radiol
; 130(4): 464-469, 2020 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-32507560
19.
Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs.
Oral Surg Oral Med Oral Pathol Oral Radiol
; 130(3): 336-343, 2020 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-32444332
20.
Usefulness of a deep learning system for diagnosing Sjögren's syndrome using ultrasonography images.
Dentomaxillofac Radiol
; 49(3): 20190348, 2020 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-31804146