10 documents found, page 1 of 1
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, MariliaMade 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...
3D Auto-Segmentation of Mandibular Condyles
Brosset, Serge; Dumont, Maxime; Bianchi, Jonas [UNESP]; Ruellas, Antonio; Cevidanes, Lucia; Yatabe, Marilia; Goncalves, Joao [UNESP]; Benavides, ErikaMade 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...
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 ...
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, MariliaMade 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...
Radiographic interpretation using high-resolution Cbct to diagnose degenerative...
Bianchi, Jonas [UNESP]; Gonçalves, João Roberto [UNESP]; de Oliveira Ruellas, Antônio Carlos; Bianchi, Júlia Vieira Pastana; Ashman, Lawrence M.Made available in DSpace on 2022-05-01T08:15:11Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-08-01; The objective of this study was to use high-resolution cone-beam computed images (hr-CBCT) to diagnose degenerative joint disease in asymptomatic and symptomatic subjects using the Diagnostic Criteria for Temporomandibular Disorders DC/TMD imaging criteria. This observational study comprised of 92 subje...
3D Auto-Segmentation of Mandibular Condyles
Brosset, Serge; Dumont, Maxime; Bianchi, Jonas [UNESP]; Ruellas, Antonio; Cevidanes, Lucia; Yatabe, Marilia; Goncalves, Joao [UNESP]; Benavides, ErikaMade 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...
Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using bi...
Bianchi, Jonas [UNESP]; de Oliveira Ruellas, Antônio Carlos; Gonçalves, João Roberto [UNESP]; Paniagua, Beatriz; Prieto, Juan Carlos; Styner, MartinMade available in DSpace on 2020-12-12T02:41:07Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-12-01; After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musculoskeletal condition affecting 5 to 12% of the population, with an annual health cost estimated at $4 billion. Chronic disability in TMJ osteoarthritis (OA) increases with aging, and the main goal is to ...
Accuracy of biomarkers obtained from cone beam computed tomography in assessing...
Ebrahim, Fouad H.; Ruellas, Antonio C. O.; Paniagua, Beatriz; Benavides, Erika; Jepsen, Karl; Wolford, Larry; Goncalves, Joao Roberto [UNESP]Made available in DSpace on 2018-11-29T03:50:27Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-12-01; National Institute of Dental & Craniofacial Research of the National Institutes of Health; Objective. The aim of this study was to validate the ability of cone beam computed tomography (CBCT) to measure condylar internal trabecular bone structure and bone texture parameters accurately. Study Design. Six...
Diagnostic index: An open-source tool to classify TMJ OA condyles
Paniagua, Beatriz; Pascal, Laura; Prieto, Juan; Vimort, Jean Baptiste; Gomes, Liliane [UNESP]; Yatabe, Marilia; Ruellas, Antonio Carlos; Budin, FrancoisMade available in DSpace on 2018-12-11T17:12:35Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-01-01; Osteoarthritis (OA) of temporomandibular joints (TMJ) occurs in about 40% of the patients who present TMJ disorders. Despite its prevalence, OA diagnosis and treatment remain controversial since there are no clear symptoms of the disease, especially in early stages. Quantitative tools based on 3D imagin...
Cone beam computed tomography-based models versus multislice spiral computed to...
Gomes, Liliane Rosas [UNESP]; Gomes, Marcelo Regis; Gonçalves, João Roberto [UNESP]; Ruellas, Antônio Carlos O.; Wolford, Larry M.; Paniagua, BeatrizMade available in DSpace on 2018-12-11T17:02:04Z (GMT). No. of bitstreams: 0 Previous issue date: 2016-01-01; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Objective To quantitatively compare condylar morphology using cone beam computed tomography (CBCT) and multislice spiral computed tomography (MSCT) v...