14 documents found, page 1 of 2

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Feature Selection for Privileged Modalities in Disease Classification

Zhang, Winston; Turkestani, Najla Al; Bianchi, Jonas [UNESP]; Le, Celia; Deleat-Besson, Romain; Ruellas, Antonio; Cevidanes, Lucia; Yatabe, Marilia

Made available in DSpace on 2022-04-28T19:46:32Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; Multimodal data allows supervised learning while considering multiple complementary views of a problem, improving final diagnostic performance of trained models. Data modalities that are missing or difficult to obtain in clinical situations can still be incorporated into model training using the learnin...

Date: 2022   |   Origin: Oasisbr

3D Auto-Segmentation of Mandibular Condyles

Brosset, Serge; Dumont, Maxime; Bianchi, Jonas [UNESP]; Ruellas, Antonio; Cevidanes, Lucia; Yatabe, Marilia; Goncalves, Joao [UNESP]; Benavides, Erika

Made available in DSpace on 2022-04-28T19:29:20Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-07-01; Temporomandibular joints (TMJ) like a hinge connect the jawbone to the skull. TMJ disorders could cause pain in the jaw joint and the muscles controlling jaw movement. However, the disease cannot be diagnosed until it becomes symptomatic. It has been shown that bone resorption at the condyle articular s...

Date: 2022   |   Origin: Oasisbr

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, Antonio

Made 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 ...

Date: 2022   |   Origin: Oasisbr

Temporomandibular Joint Osteoarthritis Diagnosis Using Privileged Learning of P...

Zhang, Winston; Bianchi, Jonas [UNESP]; Turkestani, Najla Al; Le, Celia; Deleat-Besson, Romain; Ruellas, Antonio; Cevidanes, Lucia; Yatabe, Marilia

Made available in DSpace on 2022-04-28T19:49:23Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; Diagnosis of temporomandibular joint (TMJ) Osteoarthritis (OA) before serious degradation of cartilage and subchondral bone occurs can help prevent chronic pain and disability. Clinical, radiomic, and protein markers collected from TMJ OA patients have been shown to be predictive of OA onset. Since prot...

Date: 2022   |   Origin: Oasisbr

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...

Date: 2022   |   Origin: Oasisbr

Three‑dimensional craniofacial characteristics associated with obstructive slee...

Gurgel, Marcela; Cevidanes, Lucia; Pereira, Rowdley; Costa, Fabio; Ruellas, Antonio; Bianchi, Jonas; Cunali, Paulo; Bittencourt, Lia

Objectives 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...

Date: 2021   |   Origin: Oasisbr

3D Auto-Segmentation of Mandibular Condyles

Brosset, Serge; Dumont, Maxime; Bianchi, Jonas [UNESP]; Ruellas, Antonio; Cevidanes, Lucia; Yatabe, Marilia; Goncalves, Joao [UNESP]; Benavides, Erika

Made available in DSpace on 2021-06-25T11:52:19Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01; NIDCR; Temporomandibular joints (TMJ) like a hinge connect the jawbone to the skull. TMJ disorders could cause pain in the jaw joint and the muscles controlling jaw movement. However, the disease cannot be diagnosed until it becomes symptomatic. It has been shown that bone resorption at the condyle arti...

Date: 2021   |   Origin: Oasisbr

Shape variation analyzer: A classifier for temporomandibular joint damaged by o...

Ribera, Nina Tubau; De Dumast, Priscille; Yatabe, Marilia; Ruellas, Antonio; Ioshida, Marcos; Paniagua, Beatriz; Styner, Martin

Made available in DSpace on 2019-10-06T17:13:47Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-01-01; We developed a deep learning neural network, the Shape Variation Analyzer (SVA), that allows disease staging of bony changes in temporomandibular joint (TMJ) osteoarthritis (OA). The sample was composed of 259 TMJ CBCT scans for the training set and 34 for the testing dataset. The 3D meshes had been pre...

Date: 2019   |   Origin: Oasisbr

A web-based system for statistical shape analysis in temporomandibular joint os...

Michoud, Loic; Huang, Chao; Yatabe, Marilia; Ruellas, Antonio; Ioshida, Marcos; Paniagua, Beatriz; Styner, Martin; Gonçalves, João Roberto [UNESP]

Made available in DSpace on 2019-10-06T17:14:04Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-01-01; This study presents a web-system repository: Data Storage for Computation and Integration (DSCI) for Osteoarthritis of the temporomandibular joint (TMJ OA). This environment aims to maintain and allow contributions to the database from multi-clinical centers and compute novel statistics for disease clas...

Date: 2019   |   Origin: Oasisbr

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