Jixiang Guo - Publications

Accuracy and reliability of 3D cephalometric landmark detection with deep learning.

Journal: European journal of medical research

Published: April 22, 2025

Deep learning-assisted comparison of different models for predicting maxillary canine impaction on panoramic radiography.

Journal: American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics

Published: February 01, 2025

Automatically predicting lung tumor invasiveness using deep neural networks.

Journal: Medical engineering & physics

Published: January 16, 2025

3D Deep Learning for Virtual Orbital Defect Reconstruction: A Precise and Automated Approach.

Journal: The Journal of craniofacial surgery

Published: December 26, 2024

Fully automated method for three-dimensional segmentation and fine classification of mixed dentition in cone-beam computed tomography using deep learning.

Journal: Journal of dentistry

Published: September 07, 2024

DiffMAR: A Generalized Diffusion Model for Metal Artifact Reduction in CT Images.

Journal: IEEE journal of biomedical and health informatics

Published: August 07, 2024

A Stage-Wise Residual Attention Generation Adversarial Network for Mandibular Defect Repairing and Reconstruction.

Journal: International journal of neural systems

Published: April 16, 2024

Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning.

Journal: Dento maxillo facial radiology

Published: November 29, 2023

Deep learning methods for fully automated dental age estimation on orthopantomograms.

Journal: Clinical oral investigations

Published: November 22, 2023

Deep learning for precise diagnosis and subtype triage of drug-resistant tuberculosis on chest computed tomography.

Journal: MedComm

Published: March 12, 2023

Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories.

Journal: IEEE transactions on medical imaging

Published: September 30, 2022

The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks.

Journal: Computer methods and programs in biomedicine

Published: April 13, 2022