Detalhe da pesquisa
1.
A deep transfer learning approach for the detection and diagnosis of maxillary sinusitis on panoramic radiographs.
Odontology
; 109(4): 941-948, 2021 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-34023953
2.
Accuracy and head positioning effects on measurements of anterior tooth length using 3-dimensional and conventional dental panoramic radiography.
Am J Orthod Dentofacial Orthop
; 151(3): 607-615, 2017 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-28257745
3.
Can sonographic features be efficacy predictors of robotic massage treatment for masseter and temporal muscle in patients with temporomandibular disorder with myofascial pain?
Cranio
; 34(1): 13-9, 2016 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-25399824
4.
[Improvements to an automated method for detecting carotid artery calcifications by adopting a positional feature and feature selection].
Nihon Hoshasen Gijutsu Gakkai Zasshi
; 70(6): 526-33, 2014 Jun.
Artigo
em Japonês
| MEDLINE | ID: mdl-24953317
5.
Sex differences and age-related changes in the mandibular alveolar bone mineral density using a computer-aided measurement system for intraoral radiography.
Sci Rep
; 14(1): 7386, 2024 03 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-38548856
6.
External Validation of the Effect of the Combined Use of Object Detection for the Classification of the C-Shaped Canal Configuration of the Mandibular Second Molar in Panoramic Radiographs: A Multicenter Study.
J Endod
; 50(5): 627-636, 2024 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-38336338
7.
Deep learning and artificial intelligence in dental diagnostic imaging.
Jpn Dent Sci Rev
; 59: 329-333, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37811196
8.
Deep learning for preliminary profiling of panoramic images.
Oral Radiol
; 39(2): 275-281, 2023 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-35759114
9.
Variance of radiographical alveolar bone mineral density by the anatomical morphology of mandibular bone.
Heliyon
; 8(11): e11507, 2022 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-36419656
10.
Automatic visualization of the mandibular canal in relation to an impacted mandibular third molar on panoramic radiographs using deep learning segmentation and transfer learning techniques.
Oral Surg Oral Med Oral Pathol Oral Radiol
; 134(6): 749-757, 2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-36229373
11.
Tooth recognition of 32 tooth types by branched single shot multibox detector and integration processing in panoramic radiographs.
J Med Imaging (Bellingham)
; 9(3): 034503, 2022 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-35756973
12.
Automatic segmentation of the temporomandibular joint disc on magnetic resonance images using a deep learning technique.
Dentomaxillofac Radiol
; 51(1): 20210185, 2022 Jan 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-34347537
13.
Features of mandibular cortical bone morphology in osteoporotic fracture patients.
Oral Radiol
; 38(4): 550-557, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35124765
14.
Tooth detection and classification on panoramic radiographs for automatic dental chart filing: improved classification by multi-sized input data.
Oral Radiol
; 37(1): 13-19, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31893343
15.
Performance of deep learning models constructed using panoramic radiographs from two hospitals to diagnose fractures of the mandibular condyle.
Dentomaxillofac Radiol
; 50(7): 20200611, 2021 Oct 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33769840
16.
Clinical guidelines for the application of panoramic radiographs in screening for osteoporosis.
Oral Radiol
; 37(2): 189-208, 2021 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-33620644
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.
Artigo
em Inglês
| MEDLINE | ID: mdl-32618480
18.
Prospective study to estimate mandibular cancellous bone density using large-volume cone-beam computed tomography.
Clin Oral Implants Res
; 21(12): 1309-13, 2010 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-20497440
19.
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.
Artigo
em Inglês
| MEDLINE | ID: mdl-32507560
20.
Mandibular Radiomorphometric Indices and Tooth Loss as Predictors for the Risk of Osteoporosis using Panoramic Radiographs.
Oral Health Prev Dent
; 18(1): 773-782, 2020 Sep 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-32895661