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 …

Medical imaging techniques, such as (cone beam) computed tomography and magnetic
resonance imaging, have proven to be a valuable component for oral and maxillofacial …

Objective To develop and validate a layered deep learning algorithm which automatically
creates three-dimensional (3D) surface models of the human mandible out of cone-beam …

Accurate mandible segmentation is significant in the field of maxillofacial surgery to guide
clinical diagnosis and treatment and develop appropriate surgical plans. In particular, cone …

In this study, a deep learning-based workflow designed for the segmentation and 3D
modeling of bones in cone beam computed tomography (CBCT) orthopedic imaging is …

Objectives The diagnosis and treatment of oral and dental diseases rely heavily on various
types of medical imaging. Deep learning-mediated multi-omics analysis can extract more …

Purpose To investigate the influence of teeth and dental restorations on the facial skeleton's
gray value distributions in cone-beam computed tomography (CBCT). Methods Gray value …

This thesis presents new research aimed at improving Virtual Surgical Planning (VSP) for
orthognathic surgery, with a focus on enhancing accuracy and streamlining the virtual …

Objectives: The hard and soft tissues of the head and neck, dentition, and
temporomandibular joint are the determining elements in orthognathic surgery planning …

Metastatic bone disease (MBD) is a common secondary feature of cancer that can cause
significant complications, including severe pain and death. Current methods of diagnosis …