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07/27/2023
Neural Representation-Based Method for Metal-induced Artifact Reduction in Dental CBCT Imaging
This study introduces a novel reconstruction method for dental cone-beam...
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05/17/2023
Automatic 3D Registration of Dental CBCT and Face Scan Data using 2D Projection images
This paper presents a fully automatic registration method of dental cone...
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03/03/2023
Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography
This paper describes the mathematical structure of the ill-posed nonline...
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02/08/2022
Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling
Low-dose dental cone beam computed tomography (CBCT) has been increasing...
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12/03/2021
Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification
We present a fully automated method of integrating intraoral scan (IOS) ...
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02/11/2021
A fully automated method for 3D individual tooth identification and segmentation in dental CBCT
Accurate and automatic segmentation of three-dimensional (3D) individual...
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01/06/2020
Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging
Recently, with the significant developments in deep learning techniques,...
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07/25/2019
Framelet Pooling Aided Deep Learning Network : The Method to Process High Dimensional Medical Data
Machine learning-based analysis of medical images often faces several hu...
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11/19/2018
Automatic Three-Dimensional Cephalometric Annotation System Using Three-Dimensional Convolutional Neural Networks
Background: Three-dimensional (3D) cephalometric analysis using computer...
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09/08/2017
Deep learning for undersampled MRI reconstruction
This paper presents a deep learning method for faster magnetic resonance...
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08/02/2017
Sinogram-consistency learning in CT for metal artifact reduction
This paper proposes a sinogram consistency learning method to deal with ...
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02/09/2017