3 documents found, page 1 of 1
Automatic Segmentation of Mandibular Ramus and Condyles
Le, Celia; Deleat-Besson, Romain; Prieto, Juan; Brosset, Serge; Dumont, Maxime; Zhang, Winston; Cevidanes, Lucia; Bianchi, Jonas; Ruellas, AntonioMade available in DSpace on 2022-04-28T19:49:20Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; In order to diagnose TMJ pathologies, we developed and tested a novel algorithm, MandSeg, that combines image processing and machine learning approaches for automatically segmenting the mandibular condyles and ramus. A deep neural network based on the U-Net architecture was trained for this task, using ...
3D Slicer Craniomaxillofacial Modules Support Patient-Specific Decision-Making ...
Bianchi, Jonas; Paniagua, Beatriz; De Oliveira Ruellas, Antonio Carlos; Fillion-Robin, Jean-Christophe; Prietro, Juan C.Made available in DSpace on 2022-05-01T00:16:34Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01; Bundesministerium für Digitalisierung und Wirtschaftsstandort; TU Graz, Internationale Beziehungen und Mobilitätsprogramme; Austrian Science Fund; The biggest challenge to improve the diagnosis and therapies of Craniomaxillofacial conditions is to translate algorithms and software developments towards t...
Three‑dimensional craniofacial characteristics associated with obstructive slee...
Gurgel, Marcela; Cevidanes, Lucia; Pereira, Rowdley; Costa, Fabio; Ruellas, Antonio; Bianchi, Jonas; Cunali, Paulo; Bittencourt, LiaObjectives This study aims to assess craniofacial dimensions in obstructive sleep apnea (OSA) patients treated with a mandibular advancement device (MAD) and to identify anatomic influences on OSA severity and MAD therapy outcomes. Materials and methods Twenty patients with OSA were prospectively treated with MAD. Clinical, cone-beam computed tomography, and polysomnography exams were performed before treatment...