Multi-task deep learning for medical image computing and analysis: A review

Y Zhao, X Wang, T Che, G Bao, S Li - Computers in Biology and Medicine, 2023 - Elsevier
The renaissance of deep learning has provided promising solutions to various tasks. While
conventional deep learning models are constructed for a single specific task, multi-task deep …

Personalized dental medicine, artificial intelligence, and their relevance for dentomaxillofacial imaging

KF Hung, AWK Yeung, MM Bornstein… - Dentomaxillofacial …, 2023 - academic.oup.com
Personalized medicine refers to the tailoring of diagnostics and therapeutics to individuals
based on one's biological, social, and behavioral characteristics. While personalized dental …

Current applications of deep learning and radiomics on CT and CBCT for maxillofacial diseases

KF Hung, QYH Ai, LM Wong, AWK Yeung, DTS Li… - Diagnostics, 2022 - mdpi.com
The increasing use of computed tomography (CT) and cone beam computed tomography
(CBCT) in oral and maxillofacial imaging has driven the development of deep learning and …

DCPR-GAN: dental crown prosthesis restoration using two-stage generative adversarial networks

S Tian, M Wang, N Dai, H Ma, L Li… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Restoring the correct masticatory function of broken teeth is the basis of dental crown
prosthesis rehabilitation. However, it is a challenging task primarily due to the complex and …

Integration of imaging modalities in digital dental workflows-possibilities, limitations, and potential future developments

S Shujaat, MM Bornstein, JB Price… - Dentomaxillofacial …, 2021 - academic.oup.com
The digital workflow process follows different steps for all dental specialties. However, the
main ingredient for the diagnosis, treatment planning and follow-up workflow recipes is the …

Synergy between artificial intelligence and precision medicine for computer-assisted oral and maxillofacial surgical planning

S Shujaat, M Riaz, R Jacobs - Clinical Oral Investigations, 2023 - Springer
Objectives The aim of this review was to investigate the application of artificial intelligence
(AI) in maxillofacial computer-assisted surgical planning (CASP) workflows with the …

Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation

M Chung, M Lee, J Hong, S Park, J Lee, J Lee… - Computers in Biology …, 2020 - Elsevier
Individual tooth segmentation from cone beam computed tomography (CBCT) images is an
essential prerequisite for an anatomical understanding of orthodontic structures in several …

AI in orthodontics: Revolutionizing diagnostics and treatment planning—A comprehensive review

N Kazimierczak, W Kazimierczak, Z Serafin… - Journal of Clinical …, 2024 - mdpi.com
The advent of artificial intelligence (AI) in medicine has transformed various medical
specialties, including orthodontics. AI has shown promising results in enhancing the …

Efficient computer-aided design of dental inlay restoration: a deep adversarial framework

S Tian, M Wang, F Yuan, N Dai, Y Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Restoring the normal masticatory function of broken teeth is a challenging task primarily due
to the defect location and size of a patient's teeth. In recent years, although some …

Applications of artificial intelligence and machine learning in orthognathic surgery: A scoping review

K Mohaideen, A Negi, DK Verma, N Kumar… - Journal of Stomatology …, 2022 - Elsevier
Over the recent years, Artificial Intelligence (AI) has been progressing rapidly with its ability
to mimic human cognitive functions. The potential applications of AI technology in diagnosis …