22.5.4 Dental Identification, Dental Biometrics

Chapter Contents (Back)
Dental Identification. Teeth. Tooth. Biometrics.

StereoImaging Corp,
2000. Dental imaging.
WWW Link. Vendor, Dental.

Brontes Technologies,
Vendor, Dental.
WWW Link. A 3M company. 3D imaging for dental work.

Cynovad,
2000. Cybernetic Innovations for Dentistry.
WWW Link. Vendor, Dental.

Keem, S., Elbaum, M.,
Wavelet representations for monitoring changes in teeth imaged with digital imaging fiber-optic transillumination,
MedImg(16), No. 5, October 1997, pp. 653-663.
IEEE Top Reference. 0205
BibRef

Goshtasby, A.A., Nambala, S., deRijk, W.G., Campbell, S.D.,
A system for digital reconstruction of gypsum dental casts,
MedImg(16), No. 5, October 1997, pp. 664-674.
IEEE Top Reference. 0205
BibRef

Hirogaki, Y., Sohmura, T., Satoh, H., Takahashi, J., Takada, K.,
Complete 3-D reconstruction of dental cast shape using perceptual grouping,
MedImg(20), No. 10, October 2001, pp. 1093-1101.
IEEE Top Reference. 0111
BibRef

Sohmura, T., Nagao, M., Sakai, M., Wakabayashi, K., Kojima, T., Kinuta, S., Nakamura, T., Takahashi, J.,
High-resolution 3-D shape integration of dentition and face measured by new laser scanner,
MedImg(23), No. 5, May 2004, pp. 633-638.
IEEE Abstract. 0406
BibRef

Bors, A.G., Kechagias, L., Pitas, I.,
Binary morphological shape-based interpolation applied to 3-D tooth reconstruction,
MedImg(21), No. 2, February 2002, pp. 100-108.
IEEE Top Reference. 0204
BibRef

Kondo, T., Ong, S.H., Foong, K.W.C.,
Tooth Segmentation of Dental Study Models Using Range Images,
MedImg(23), No. 3, March 2004, pp. 350-362.
IEEE Abstract. 0403
BibRef

Buchaillard, S., Ong, S.H., Payan, Y., Foong, K.W.C.,
Reconstruction of 3D tooth images,
ICIP04(II: 1077-1080).
IEEE DOI 0505
BibRef

Jain, A.K.[Anil K.], Chen, H.[Hong],
Matching of dental X-ray images for human identification,
PR(37), No. 7, July 2004, pp. 1519-1532.
Elsevier DOI 0405
Use the contours of the teeth as the feature for matching. BibRef

Chen, H.[Hong], Jain, A.K.,
Tooth contour extraction for matching dental radiographs,
ICPR04(III: 522-525).
IEEE DOI 0409
BibRef

Chen, H.[Hong], Jain, A.K.[Anil K.],
Dental Biometrics: Alignment and Matching of Dental Radiographs,
PAMI(27), No. 8, August 2005, pp. 1319-1326.
IEEE Abstract. 0506
BibRef
Earlier: WACV05(I: 316-321).
IEEE DOI 0502
BibRef

Jain, A.K.[Anil K.], Chen, H.[Hong], Minut, S.[Silviu],
Dental Biometrics: Human Identification Using Dental Radiographs,
AVBPA03(429-437).
Springer DOI 0310
BibRef

Mahoor, M.H.[Mohammad H.], Abdel-Mottaleb, M.[Mohamed],
Classification and numbering of teeth in dental bitewing images,
PR(38), No. 4, April 2005, pp. 577-586.
Elsevier DOI 0501
BibRef
Earlier:
Automatic classification of teeth in bitewing dental images,
ICIP04(V: 3475-3478).
IEEE DOI 0505
BibRef

Nomir, O.[Omaima], Abdel-Mottaleb, M.[Mohamed],
A system for human identification from X-ray dental radiographs,
PR(38), No. 8, August 2005, pp. 1295-1305.
Elsevier DOI 0505
BibRef

Nomir, O.[Omaima], Abdel-Mottaleb, M.[Mohamed],
Hierarchical contour matching for dental X-ray radiographs,
PR(41), No. 1, January 2008, pp. 130-138.
Elsevier DOI 0710
BibRef
Earlier:
Hierarchical Dental X-Ray Radiographs Matching,
ICIP06(2677-2680).
IEEE DOI 0610
Dental biometrics; Dental radiograph; Postmortem; Antemortem; Segmentation; Identification; Hierarchical; Multi-resolution; Chamfer distance BibRef

Nomir, O.[Omaima], Abdel-Mottaleb, M.[Mohamed],
Combining Matching Algorithms for Human Identification using Dental X-Ray Radiographs,
ICIP07(II: 409-412).
IEEE DOI 0709
BibRef

Zhou, J.D.[Jin-Dan], Abdel-Mottaleb, M.[Mohamed],
A content-based system for human identification based on bitewing dental X-ray images,
PR(38), No. 11, November 2005, pp. 2132-2142.
Elsevier DOI 0509
BibRef

Kolehmainen, V., Vanne, A., Siltanen, S., Jarvenpaa, S., Kaipio, J.P., Lassas, M., Kalke, M.,
Parallelized Bayesian Inversion for Three-Dimensional Dental X-ray Imaging,
MedImg(25), No. 2, February 2006, pp. 218-228.
IEEE DOI 0602
BibRef

Majdi-Nasab, N.[Nariman], Analoui, M.[Mostafa], Delp, E.J.[Edward J.],
Decomposing parameters of mixture Gaussian model using genetic and maximum likelihood algorithms on dental images,
PRL(27), No. 13, 1 October 2006, pp. 1522-1536.
Elsevier DOI 0606
Expectation maximization; Genetic algorithms; Mixture Gaussian model; Simulated annealing BibRef

Nassar, D.E.M.[Diaa Eldin M.], Ammar, H.H.[Hany H.],
A neural network system for matching dental radiographs,
PR(40), No. 1, January 2007, pp. 65-79.
Elsevier DOI 0611
Image matching; Bayesian classification; Neural network training; Forensic odontology; Dental identification BibRef

Li, X.[Xin], Abaza, A.[Ayman], Nassar, D.E.[Diaa Eldin], Ammar, H.[Hany],
Fast and Accurate Segmentation of Dental X-Ray Records,
ICB06(688-696).
Springer DOI 0601
BibRef

Fahmy, G.[Gamal], Nassar, D.E.[Diaa Eldin], Haj-Said, E.[Eyad], Chen, H.[Hong], Nomir, O.[Omaima], Zhou, J.D.[Jin-Dan], Howell, R.[Robert], Ammar, H.H.[Hany H.], Abdel-Mottaleb, M.[Mohamed], Jain, A.K.[Anil K.],
Towards an Automated Dental Identification System (ADIS),
ICBA04(789-796).
Springer DOI 0505
BibRef

Jensen, K.H.[Katrine Hommelhoff], Sporring, J.[Jon],
Reconstructing Teeth with Bite Information,
SCIA07(102-111).
Springer DOI 0706
BibRef

Li, S.[Shuo], Fevens, T.[Thomas], Krzyzak, A.[Adam], Jin, C.[Chao], Li, S.[Song],
Semi-automatic computer aided lesion detection in dental X-rays using variational level set,
PR(40), No. 10, October 2007, pp. 2861-2873.
Elsevier DOI 0707
Dental X-rays; Level set; Image segmentation; Support vector machine; Detection; Machine learning; Principal component analysis BibRef

Sporring, J.[Jon], Jensen, K.H.[Katrine Hommelhoff],
Bayes Reconstruction of Missing Teeth,
JMIV(31), No. 2-3, July 2008, pp. 245-254.
WWW Link. 0711
BibRef

Kim, T.W.[Tae-Woo], Cho, T.K.[Tae-Kyung],
Teeth Image Recognition for Biometrics,
IEICE(E89-D), No. 3, March 2006, pp. 1309-1313.
DOI Link 0603
BibRef

Hosntalab, M.[Mohammad], Zoroofi, R.A.[Reza Aghaeizadeh], Tehrani-Fard, A.A.[Ali Abbaspour], Shirani, G.[Gholamreza], Asharif, M.R.[Mohammad Reza],
A Hybrid Segmentation Framework for Computer-Assisted Dental Procedures,
IEICE(E92-D), No. 10, October 2009, pp. 2137-2151.
WWW Link. 0910
BibRef

Lin, P.L.[Phen-Lan], Lai, Y.H.[Yan-Hao], Huang, P.W.[Po-Whei],
An effective classification and numbering system for dental bitewing radiographs using teeth region and contour information,
PR(43), No. 4, April 2010, pp. 1380-1392.
Elsevier DOI 1002
Dental bitewing radiograph; Homomorphic filter; Homogeneity measurement; Adaptive contrast stretching; Teeth classification; Sequence alignment; Teeth numbering BibRef

Lin, P.L.[Phen-Lan], Lai, Y.H.[Yan-Hao], Huang, P.W.[Po-Whei],
Dental biometrics: Human identification based on teeth and dental works in bitewing radiographs,
PR(45), No. 3, March 2012, pp. 934-946.
Elsevier DOI 1111
Bitewing radiographs; Dental identification; Postmortem identification; Dental work matching; Tooth matching BibRef

Gao, H.[Hui], Chae, O.[Oksam],
Individual tooth segmentation from CT images using level set method with shape and intensity prior,
PR(43), No. 7, July 2010, pp. 2406-2417.
Elsevier DOI 1003
Dental CT images; Tooth segmentation; Level set method; Shape prior; Intensity prior BibRef

Chang, Y.B., Xia, J.J., Gateno, J., Xiong, Z., Zhou, X., Wong, S.T.C.,
An Automatic and Robust Algorithm of Reestablishment of Digital Dental Occlusion,
MedImg(29), No. 9, September 2010, pp. 1652-1663.
IEEE DOI 1003
BibRef

Hiew, L.T., Ong, S.H.[Sim Heng], Foong, K.W.C.[Kelvin W.C.],
Optimal occlusion of teeth using planar structure information,
MVA(21), No. 5, August 2010, pp. 735-747.
WWW Link. 1011
BibRef

Zhang, Z.Y.[Zhi-Yuan], Ong, S.H.[Sim Heng], Zhong, X.[Xin], Foong, K.W.C.[Kelvin W.C.],
Efficient 3D dental identification via signed feature histogram and learning keypoint detection,
PR(60), No. 1, 2016, pp. 189-204.
Elsevier DOI 1609
Dental biometrics BibRef

Westland, S., Luo, W., Ellwood, R., Brunton, P., Pretty, I.,
Colour Assessment in Dentistry,
BMVA(2007), No. 4, 2007, pp. 1-10.
PDF File. 1209
BibRef

Pushparaj, V., Gurunathan, U., Arumugam, B.,
Dental radiographs and photographs in human forensic identification,
IET-Bio(2), No. 2, 2013, pp. 56-63.
DOI Link 1307
BibRef

Qiu, N.[Nina], Fan, R.[Ran], You, L.H.[Li-Hua], Jin, X.G.[Xiao-Gang],
An efficient and collision-free hole-filling algorithm for orthodontics,
VC(29), No. 6-8, June 2013, pp. 577-586.
WWW Link. 1306
BibRef

Abdelrahim, A.S.[Aly S.], Farag, A.A.[Aly A.], Elhabian, S.Y.[Shireen Y.], El-Melegy, M.T.,
Shape-from-shading using sensor and physical object characteristics applied to human teeth surface reconstruction,
IET-CV(8), No. 1, February 2014, pp. 1-15.
DOI Link 1404
dentistry BibRef

Elhabian, S.Y., Farag, A.A.,
Appearance-based approach for complete human jaw shape reconstruction,
IET-CV(8), No. 5, October 2014, pp. 404-418.
DOI Link 1412
biomedical optical imaging BibRef

Mostafa, E.A.[Eslam A.], Elhabian, S.[Shireen], Abdelrahim, A.S.[Aly S.], Elshazly, S.[Salwa], Farag, A.A.[Aly A.],
Statistical morphable model for human teeth restoration,
ICIP14(4285-4288)
IEEE DOI 1502
Dentistry BibRef

Abdelrahim, A.S.[Aly S.], Farag, A.A.[Aly A.], Elhabian, S.[Shireen], Mostafa, E.A.[Eslam A.], Aboelmaaty, W.[Wael],
Occlusal surface reconstruction of human teeth from a single image based on object and sensor physical characteristics,
ICIP12(1793-1796).
IEEE DOI 1302
BibRef

Yadollahi, M.[Mohammadreza], Procházka, A.[Aleš], Kašparová, M.[Magdaléna], Vyšata, O.[Oldrich],
The use of combined illumination in segmentation of orthodontic bodies,
SIViP(9), No. 1, January 2015, pp. 243-250.
Springer DOI 1503
BibRef

Procházka, A.[Aleš], Kašparová, M.[Magdaléna], Yadollahi, M.[Mohammadreza], Vyšata, O.[Oldrich], Grajciarová, L.[Lucie],
Multi-camera systems use for dental arch shape measurement,
VC(31), No. 11, November 2015, pp. 1501-1509.
Springer DOI 1512
BibRef
And: Erratum: VC(33), No. 5, May 2017, pp. 689.
Springer DOI 1704
BibRef

Xia, Z.Y.[Ze-Yang], Gan, Y.Z.[Yang-Zhou], Xiong, J.[Jing], Zhao, Q.F.[Qun-Fei], Chen, J.[Jie],
Crown Segmentation From Computed Tomography Images With Metal Artifacts,
SPLetters(23), No. 5, May 2016, pp. 678-682.
IEEE DOI 1604
Computed tomography BibRef

Gumus, E.[Ergun],
Segmentation and root localization for analysis of dental radiographs,
SIViP(10), No. 6, June 2016, pp. 1073-1079.
WWW Link. 1608
BibRef

Shanmugam, L.[Leninisha], Gunasekaran, K.[Krithika], Natarajan, A.[Aishwarya], Kaliaperumal, V.[Vani],
Quantitative growth analysis of pulp necrotic tooth (post-op) using modified region growing active contour model,
IET-IPR(11), No. 11, November 2017, pp. 1015-1019.
DOI Link 1711
BibRef

Lashgari, M., Shahmoradi, M., Rabbani, H., Swain, M.,
Missing Surface Estimation Based on Modified Tikhonov Regularization: Application for Destructed Dental Tissue,
IP(27), No. 5, May 2018, pp. 2433-2446.
IEEE DOI 1804
biological tissues, computerised tomography, dentistry, edge detection, image denoising, image reconstruction, error concealment BibRef

Oktay, A.B.[Ayse Betul],
Human identification with dental panoramic radiographic images,
IET-Bio(7), No. 4, July 2018, pp. 349-355.
DOI Link 1807
BibRef

Mao, J.[Jiafa], Wang, K.[Kaihui], Hu, Y.[Yahong], Sheng, W.G.[Wei-Guo], Feng, Q.[Qixin],
GrabCut algorithm for dental X-ray images based on full threshold segmentation,
IET-IPR(12), No. 12, December 2018, pp. 2330-2335.
DOI Link 1812
BibRef

Li, W.[Wen], Chen, Y.Y.[Yi-Yang], Sun, W.B.[Wei-Bin], Brown, M.[Mackenzie], Zhang, X.[Xuan], Wang, S.H.[Shui-Hua], Miao, L.Y.[Lei-Ying],
A gingivitis identification method based on contrast-limited adaptive histogram equalization, gray-level co-occurrence matrix, and extreme learning machine,
IJIST(29), No. 1, March 2019, pp. 77-82.
WWW Link. 1902
BibRef
And: Concern raised due to identity of an author: IJIST(34), No. 2, 2024, pp. e23042.
DOI Link 2402
BibRef

Patil, S.[Shashikant], Kulkarni, V.[Vaishali], Bhise, A.[Archana],
Intelligent system with dragonfly optimisation for caries detection,
IET-IPR(13), No. 3, February 2019, pp. 429-439.
DOI Link 1903
BibRef

Hatvani, J., Basarab, A., Tourneret, J., Gyöngy, M., Kouamé, D.,
A Tensor Factorization Method for 3-D Super Resolution With Application to Dental CT,
MedImg(38), No. 6, June 2019, pp. 1524-1531.
IEEE DOI 1906
Tensile stress, Dentistry, Spatial resolution, Computed tomography, dental application BibRef

Yang, W.W.[Wen-Wu], Marshak, N.[Nathan], Sýkora, D.[Daniel], Ramalingam, S.[Srikumar], Kavan, L.[Ladislav],
Building anatomically realistic jaw kinematics model from data,
VC(35), No. 6-8, June 2018, pp. 1105-1118.
Springer DOI 1906
BibRef

Ghanoum, M., Ali, A.M., Elshazly, S., Alkabbany, I., Farag, A.A.,
Frame Stitching in Human Oral Cavity Environment Using Intraoral Camera,
ICIP19(1327-1331)
IEEE DOI 1910
frame stitching, low illumination, intraoral camera BibRef

Li, Z.[Zhi], Wang, S.H.[Shui-Hua], Fan, R.R.[Rui-Rui], Cao, G.[Gang], Zhang, Y.D.[Yu-Dong], Guo, T.[Ting],
Teeth category classification via seven-layer deep convolutional neural network with max pooling and global average pooling,
IJIST(29), No. 4, 2019, pp. 577-583.
DOI Link 1911
cone beam computed tomography, convolutional neural network, data augmentation, deep convolutional neural network, max pooling BibRef

Choi, G.P.T.[Gary P.T.], Chan, H.L.[Hei Long], Yong, R.[Robin], Ranjitkar, S.[Sarbin], Brook, A.[Alan], Townsend, G.[Grant], Chen, K.[Ke], Lui, L.M.[Lok Ming],
Tooth morphometry using quasi-conformal theory,
PR(99), 2020, pp. 107064.
Elsevier DOI 1912
Tooth morphometry, Quasi-conformal theory, Shape analysis, Teichmüller map, Ancestry, Sexual dimorphism, Classification BibRef

Vijayakumari, B.[Balan], Kirubalini, R.R.[Ramasubramania Raja], Manisha, C.R.[Centhil Raj],
Cadaver identification with dental radiographs using isoperimetric and nodal graph approach,
IET-Bio(9), No. 1, January 2020, pp. 38-45.
DOI Link 2001
BibRef

Li, W.[Wen], Jiang, X.W.[Xian-Wei], Sun, W.B.[Wei-Bin], Wang, S.H.[Shui-Hua], Liu, C.[Chao], Zhang, X.[Xuan], Zhang, Y.D.[Yu-Dong], Zhou, W.[Wei], Miao, L.Y.[Lei-Ying],
Gingivitis Identification Via Multichannel Gray-Level Co-Occurrence Matrix and Particle Swarm Optimization Neural Network,
IJIST(30), No. 2, 2020, pp. 401-411.
DOI Link 2005
artificial neural network, gingivitis identification, multichannel gray-level co-occurrence matrix, pattern recognition BibRef

Jurek, J.[Janusz], Wójtowicz, W.[Wojciech], Wójtowicz, A.[Anna],
Syntactic pattern recognition-based diagnostics of fetal palates,
PRL(133), 2020, pp. 144-150.
Elsevier DOI 2005
Syntactic pattern recognition, Ultrasound image analysis, Fetal cleft palate detection, Medical diagnosis BibRef

Charvát, J.[Jindrich], Procházka, A.[Aleš], Fricl, M.[Matej], Vyšata, O.[Oldrich], Himmlová, L.[Lucie],
Diffuse reflectance spectroscopy in dental caries detection and classification,
SIViP(14), No. 5, July 2020, pp. 1063-1070.
Springer DOI 2006
BibRef

Vila-Blanco, N., Carreira, M.J., Varas-Quintana, P., Balsa-Castro, C., Tomás, I.,
Deep Neural Networks for Chronological Age Estimation From OPG Images,
MedImg(39), No. 7, July 2020, pp. 2374-2384.
IEEE DOI 2007
Teeth, Dentistry, Estimation, Manuals, Convolution, Biomedical imaging, Task analysis, Deep learning, panoramic images, chronological age, forensic age BibRef

Lian, C.F.[Chun-Feng], Wang, L.[Li], Wu, T.H.[Tai-Hsien], Wang, F.[Fan], Yap, P.T.[Pew-Thian], Ko, C.C.[Ching-Chang], Shen, D.G.[Ding-Gang],
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners,
MedImg(39), No. 7, July 2020, pp. 2440-2450.
IEEE DOI 2007
Teeth, Dentistry, Labeling, Shape, Feature extraction, Surface morphology, 3D shape segmentation, 3D intraoral scanners BibRef

Juneja, M.[Mamta], Singla, R.[Ridhima], Saini, S.K.[Sumindar Kaur], Kaur, R.[Ravinder], Bajaj, D.[Divya], Jindal, P.[Prashant],
OCLU-NET for occlusal classification of 3D dental models,
MVA(31), No. 6, August 2020, pp. Article52.
Springer DOI 2008
BibRef

Cui, W.T.[Wen-Ting], Liu, J.Y.[Jian-Yi], Du, S.Y.[Shao-Yi], Liu, Y.Y.[Yu-Ying], Wan, T.[Teng], Han, M.Q.[Meng-Qi], Mou, Q.N.[Qing-Nan], Yang, J.[Jing], Guo, Y.C.[Yu-Cheng],
Individual retrieval based on oral cavity point cloud data and correntropy-based registration algorithm,
IET-IPR(14), No. 12, October 2020, pp. 2675-2681.
DOI Link 2010
BibRef

Chung, M., Lee, J., Song, W., Song, Y., Yang, I.H., Lee, J., Shin, Y.G.,
Automatic Registration Between Dental Cone-Beam CT and Scanned Surface via Deep Pose Regression Neural Networks and Clustered Similarities,
MedImg(39), No. 12, December 2020, pp. 3900-3909.
IEEE DOI 2012
Computed tomography, Dentistry, Neural networks, Computational modeling, scanned dental model registration BibRef

Lai, Y., Fan, F., Wu, Q., Ke, W., Liao, P., Deng, Z., Chen, H., Zhang, Y.,
LCANet: Learnable Connected Attention Network for Human Identification Using Dental Images,
MedImg(40), No. 3, March 2021, pp. 905-915.
IEEE DOI 2103
Dentistry, Teeth, Feature extraction, Image recognition, Convolution, Task analysis, Radiography, Panoramic dental images, deep learning BibRef

Song, Y.[Yu], Qiao, X.[Xu], Iwamoto, Y.[Yutaro], Chen, Y.W.[Yen-Wei], Chen, Y.L.[Yi-Li],
An Efficient Deep Learning Based Coarse-to-Fine Cephalometric Landmark Detection Method,
IEICE(E104-D), No. 8, August 2021, pp. 1359-1366.
WWW Link. 2108
annotate anatomic-interested landmarks on X-ray images. Orghodontics. BibRef

Tian, S.[Sukun], Wang, M.[Miaohui], Yuan, F.[Fulai], Dai, N.[Ning], Sun, Y.C.[Yu-Chun], Xie, W.[Wuyuan], Qin, J.[Jing],
Efficient Computer-Aided Design of Dental Inlay Restoration: A Deep Adversarial Framework,
MedImg(40), No. 9, September 2021, pp. 2415-2427.
IEEE DOI 2109
Dentistry, Teeth, Surface morphology, Image restoration, Surface reconstruction, local-global discriminator BibRef

Sivasundaram, S.[Sivagami], Pandian, C.[Chitra],
Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture,
IJIST(31), No. 4, 2021, pp. 2214-2225.
DOI Link 2112
CNN architecture, deep learning, dental or oral cysts, dental panoramic images BibRef

Zhao, Y.[Yue], Zhang, L.M.[Ling-Ming], Yang, C.S.[Chong-Shi], Tan, Y.Y.[Ying-Yun], Liu, Y.[Yang], Li, P.C.[Peng-Cheng], Huang, T.H.[Tian-Hao], Gao, C.Q.[Chen-Qiang],
3D Dental model segmentation with graph attentional convolution network,
PRL(152), 2021, pp. 79-85.
Elsevier DOI 2112
Graph attentional convolution network, 3D Dental model segmentation, Intra-oral image BibRef

Pham, V.T.[Van Trung], Lucas, Y.[Yves], Treuillet, S.[Sylvie], Debraux, L.[Laurent],
Improvement in design and training of feature pyramid network for contour refinement,
PRL(155), 2022, pp. 1-8.
Elsevier DOI 2203
BibRef
Earlier:
Object Contour Refinement Using Instance Segmentation in Dental Images,
ACIVS20(99-107).
Springer DOI 2003
Semantic edge detection, Category-agnostic edge detection, Fine-tuning strategy, Feature pyramid network BibRef

Salih, O.[Omran], Duffy, K.J.[Kevin Jan],
The local ternary pattern encoder-decoder neural network for dental image segmentation,
IET-IPR(16), No. 6, 2022, pp. 1520-1530.
DOI Link 2204
BibRef

Zhang, F.[Fan], Zhu, J.H.[Jun-Hua], Hao, P.Y.[Peng-Yi], Wu, F.[Fuli], Zheng, Y.[Yuanna],
BDU-net: Toward accurate segmentation of dental image using border guidance and feature map distortion,
IJIST(32), No. 4, 2022, pp. 1221-1230.
DOI Link 2207
border guidance, deep learning, feature map distortion, instance segmentation, panoramic radiograph BibRef

Jang, T.J.[Tae Jun], Kim, K.C.[Kang Cheol], Cho, H.C.[Hyun Cheol], Seo, J.K.[Jin Keun],
A Fully Automated Method for 3D Individual Tooth Identification and Segmentation in Dental CBCT,
PAMI(44), No. 10, October 2022, pp. 6562-6568.
IEEE DOI 2209
Teeth, Image segmentation, Dentistry, Computed tomography, Image reconstruction, Bones, Cone-beam computerized tomography, deep learning BibRef

Xie, R.C.[Rui-Cheng], Yang, Y.Y.[Yun-Yun], Chen, Z.Y.[Zhao-Yang],
WITS: Weakly-supervised individual tooth segmentation model trained on box-level labels,
PR(133), 2023, pp. 108974.
Elsevier DOI 2210
Tooth detection, Deep learning, Active contour, Oral CBCT images, Level set BibRef

Wang, P.[Peng], Tian, Y.[Yan], Liu, N.[Nali], Wang, J.L.[Jia-Lei], Chai, S.M.[Shuang-Ming], Wang, X.[Xun], Wang, R.[Ruili],
A tooth surface design method combining semantic guidance, confidence, and structural coherence,
IET-CV(16), No. 8, 2022, pp. 727-735.
DOI Link 2210
BibRef

Wu, T.H.[Tai-Hsien], Lian, C.F.[Chun-Feng], Lee, S.[Sanghee], Pastewait, M.[Matthew], Piers, C.[Christian], Liu, J.[Jie], Wang, F.[Fan], Wang, L.[Li], Chiu, C.Y.[Chiung-Ying], Wang, W.[Wenchi], Jackson, C.[Christina], Chao, W.L.[Wei-Lun], Shen, D.G.[Ding-Gang], Ko, C.C.[Ching-Chang],
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans,
MedImg(41), No. 11, November 2022, pp. 3158-3166.
IEEE DOI 2211
Teeth, Dentistry, Location awareness, Task analysis, Solid modeling, Heating systems, Tooth segmentation, intraoral scan BibRef

Li, P.C.[Peng-Cheng], Liu, Y.[Yang], Cui, Z.M.[Zhi-Ming], Yang, F.[Feng], Zhao, Y.[Yue], Lian, C.F.[Chun-Feng], Gao, C.Q.[Chen-Qiang],
Semantic Graph Attention With Explicit Anatomical Association Modeling for Tooth Segmentation From CBCT Images,
MedImg(41), No. 11, November 2022, pp. 3116-3127.
IEEE DOI 2211
Teeth, Image segmentation, Dentistry, Semantics, Task analysis, Shape, Knowledge based systems, Tooth segmentation, CBCT images BibRef

Oztekin, F.[Faruk], Katar, O.[Oguzhan], Sadak, F.[Ferhat], Aydogan, M.[Murat], Yildirim, T.T.[Tuba Talo], Plawiak, P.[Pawel], Yildirim, O.[Ozal], Talo, M.[Muhammed], Karabatak, M.[Murat],
Automatic semantic segmentation for dental restorations in panoramic radiography images using U-Net model,
IJIST(32), No. 6, 2022, pp. 1990-2001.
DOI Link 2212
amalgam fillings, composite fillings, deep learning, dental restorations, ResNext, U-net BibRef

Liu, Z.Z.[Zuo-Zhu], He, X.X.[Xiao-Xuan], Wang, H.L.[Hua-Liang], Xiong, H.M.[Hui-Min], Zhang, Y.[Yan], Wang, G.[Gaoang], Hao, J.[Jin], Feng, Y.[Yang], Zhu, F.[Fudong], Hu, H.J.[Hao-Ji],
Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans,
MedImg(42), No. 2, February 2023, pp. 467-480.
IEEE DOI 2302
Teeth, Image segmentation, Task analysis, Dentistry, Self-supervised learning, Shape, Mesh segmentation, tooth segmentation BibRef

Shi, J.[Jian], Sun, B.[Baoli], Ye, X.C.[Xin-Chen], Wang, Z.H.[Zhi-Hui], Luo, X.L.[Xiao-Long], Liu, J.[Jin], Gao, H.[Heli], Li, H.J.[Hao-Jie],
Semantic Decomposition Network With Contrastive and Structural Constraints for Dental Plaque Segmentation,
MedImg(42), No. 4, April 2023, pp. 935-946.
IEEE DOI 2304
Dentistry, Image segmentation, Teeth, Semantics, Task analysis, Medical diagnostic imaging, Shape, Dental plaque segmentation, structural constraint BibRef

Mao, J.[Jiafa], Wang, L.X.[Li-Xin], Wang, N.[Ning], Hu, Y.[Yahong], Sheng, W.[Weigou],
A novel method of human identification based on dental impression image,
PR(144), 2023, pp. 109864.
Elsevier DOI 2310
Dental impression image, Tooth print detection, Multi-scale feature extraction, Feature aggregation, Human identification BibRef

Chen, G.[Geng], Qin, J.[Jie], Ben Amor, B.[Boulbaba], Zhou, W.M.[Wei-Ming], Dai, H.[Hang], Zhou, T.[Tao], Huang, H.[Heyuan], Shao, L.[Ling],
Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces,
MedImg(42), No. 11, November 2023, pp. 3194-3204.
IEEE DOI 2311
BibRef

Kim, S.[Seongeun], Lee, C.O.[Chang-Ock],
Individual tooth segmentation in human teeth images using pseudo edge-region obtained by deep neural networks,
SP:IC(120), 2024, pp. 117076.
Elsevier DOI 2312
Tooth segmentation, Neural network, Geometric attraction-driven flow, Edge-region, Light reflection BibRef

Gao, Q.[Qing], Ju, Z.J.[Zhao-Jie], Chen, Y.Q.[Yong-Quan], Zhang, T.W.[Tian-Wei], Leng, Y.Q.[Yu-Quan],
Mouth Cavity Visual Analysis Based on Deep Learning for Oropharyngeal Swab Robot Sampling,
HMS(53), No. 6, December 2023, pp. 1083-1092.
IEEE DOI 2312
BibRef

Mei, L.Z.J.[Lan-Zhu-Ju], Fang, Y.[Yu], Zhao, Y.[Yue], Zhou, X.S.[Xiang Sean], Zhu, M.[Min], Cui, Z.M.[Zhi-Ming], Shen, D.G.[Ding-Gang],
DTR-Net: Dual-Space 3D Tooth Model Reconstruction From Panoramic X-Ray Images,
MedImg(43), No. 1, January 2024, pp. 517-528.
IEEE DOI 2401
BibRef

Gao, N.[Nan], Yao, R.[Renyuan], Liang, R.H.[Rong-Hua], Chen, P.[Peng], Liu, T.S.[Tian-Shuang], Dang, Y.J.[Yuan-Jie],
Multi-Level Objective Alignment Transformer for Fine-Grained Oral Panoramic X-Ray Report Generation,
MultMed(26), 2024, pp. 7462-7474.
IEEE DOI 2405
Teeth, Diseases, Feature extraction, X-ray imaging, Visualization, Bones, Irrigation, Bridge-tower connection, radiology report generation BibRef

Latke, V.[Vaishali], Narawade, V.[Vaibhav],
Detection of dental periapical lesions using retinex based image enhancement and lightweight deep learning model,
IVC(146), 2024, pp. 105016.
Elsevier DOI 2405
Periapical lesions, Deep learning, Segmentation, Retinex, Image enhancement BibRef

Lin, Z.J.[Zhi-Jie], He, Z.[Zhaoshui], Wang, X.[Xu], Zhang, B.[Bing], Liu, C.[Chang], Su, W.Q.[Wen-Qing], Tan, J.[Ji], Xie, S.L.[Sheng-Li],
DBGANet: Dual-Branch Geometric Attention Network for Accurate 3D Tooth Segmentation,
CirSysVideo(34), No. 6, June 2024, pp. 4285-4298.
IEEE DOI 2406
Teeth, Dentistry, Solid modeling, Feature extraction, Shape, Point cloud compression, 3D tooth segmentation, computer-aided design (CAD) BibRef

Wang, K.X.[Kai-Xin], Zhang, S.[Shengben], Wei, Z.Y.[Zhi-Yuan], Fang, X.[Xinle], Liu, F.[Feng], Han, M.[Min], Du, M.[Mi],
Deep learning-based efficient diagnosis of periapical diseases with dental X-rays,
IVC(147), 2024, pp. 105061.
Elsevier DOI 2406
Computer vision, Deep learning, Lesion detection, Computer-assisted diagnosis, Periapical disease, Dental X-rays BibRef

Li, P.C.[Peng-Cheng], Gao, C.Q.[Chen-Qiang], Liu, F.C.[Fang-Cen], Meng, D.Y.[De-Yu], Yan, Y.[Yan],
THISNet: Tooth Instance Segmentation on 3D Dental Models via Highlighting Tooth Regions,
CirSysVideo(34), No. 7, July 2024, pp. 5229-5241.
IEEE DOI 2407
Teeth, Dentistry, Three-dimensional displays, Solid modeling, Instance segmentation, Labeling, Computational modeling, 3D dental models BibRef

Tafala, I.[Idriss], Ben-Bouazza, F.E.[Fatima-Ezzahraa], Edder, A.[Aymane], Manchadi, O.[Oumaima], Et-Taoussi, M.[Mehdi], Jioudi, B.[Bassma],
EfficientNetV2 and Attention Mechanisms for the automated detection of Cephalometric landmarks,
ISCV24(1-6)
IEEE DOI 2408
Location awareness, Accuracy, Attention mechanisms, Surgery, Planning, Dentistry, Medical diagnosis, artificial intelligence, orthodontics BibRef

Almalki, A.[Amani], Latecki, L.J.[Longin Jan],
Self-Supervised Learning with Masked Autoencoders for Teeth Segmentation from Intra-oral 3D Scans,
WACV24(7805-7815)
IEEE DOI 2404
Training, Transfer learning, Teeth, Self-supervised learning, Transformers, Loss measurement, Applications, Biomedical / healthcare / medicine BibRef

Sarmiento, J.A.[James-Andrew], Chen, L.S.F.[Liu-Shi-Feng], Naval, P.[Prospero],
Multi-class Semantic Segmentation of Tooth Pathologies and Anatomical Structures on Bitewing and Periapical Radiographs,
MVA23(1-5)
DOI Link 2403
Pathology, Sensitivity, Semantic segmentation, Education, Imaging, X-rays, Object segmentation BibRef