1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.med-ph2023
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
Jorma Järnstedt, Jaakko Sahlsten, Joel Jaskari +8
Preoperative radiological identification of mandibular canals is essential for maxillofacial surgery. This study demonstrates the reproducibility of a deep learning system (DLS) by…
cs.LG2022★ 1 cited
Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans
Jorma Järnstedt, Jaakko Sahlsten, Joel Jaskari +9
Deep learning approach has been demonstrated to automatically segment the bilateral mandibular canals from CBCT scans, yet systematic studies of its clinical and technical validati…