2 citations · 2 across the 4 of their papers we have counts for
4 papers
Deep Learning-based Assessment of the Relation Between the Third Molar and Mandibular Canal on Panoramic Radiographs using Local, Centralized, and Federated Learning
Johan Andreas Balle Rubak, Sara Haghighat, Sanyam Jain +9
Impaction of the mandibular third molar in proximity to the mandibular canal increases the risk of inferior alveolar nerve injury. Panoramic radiography is routinely used to assess…
Periodontal Bone Loss Analysis via Keypoint Detection With Heuristic Post-Processing
Ryan Banks, Vishal Thengane, María Eugenia Guerrero +4
This study proposes a deep learning framework and annotation methodology for the automatic detection of periodontal bone loss landmarks, associated conditions, and staging. 192 per…
Segmentation of Mental Foramen in Orthopantomographs: A Deep Learning Approach
Haider Raza, Mohsin Ali, Vishal Krishna Singh +3
Precise identification and detection of the Mental Foramen are crucial in dentistry, impacting procedures such as impacted tooth removal, cyst surgeries, and implants. Accurately i…
H-FCBFormer Hierarchical Fully Convolutional Branch Transformer for Occlusal Contact Segmentation with Articulating Paper
Ryan Banks, Bernat Rovira-Lastra, Jordi Martinez-Gomis +2
Occlusal contacts are the locations at which the occluding surfaces of the maxilla and the mandible posterior teeth meet. Occlusal contact detection is a vital tool for restoring t…