Titre : Tumeurs de la glande sublinguale

Tumeurs de la glande sublinguale : Questions médicales fréquentes

Termes MeSH sélectionnés :

Computer Simulation

Questions fréquentes et termes MeSH associés

Général 1

#1

Erreur lors de la génération.

Veuillez réessayer ultérieurement.
Sublingual Gland Neoplasms
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Dr Olivier Menir

Contenu validé par Dr Olivier Menir

Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale


Validation scientifique effectuée le 06/04/2025

Contenu vérifié selon les dernières recommandations médicales

Auteurs principaux

Justin A Bishop

4 publications dans cette catégorie

Affiliations :
  • Department of Pathology, UT Southwestern Medical Center, Dallas, TX.

Shi-Long Zhang

3 publications dans cette catégorie

Affiliations :
  • Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Wuhan University, 430079 Wuhan, China; Dongfeng Stomatological Hospital, Hubei University of Medicine, 442000 Shiyan, China.

Zi-Li Yu

3 publications dans cette catégorie

Affiliations :
  • Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Wuhan University, 430079 Wuhan, China; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, 430079 Wuhan, China. Electronic address: zili09@whu.edu.cn.

Jun Jia

3 publications dans cette catégorie

Affiliations :
  • Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Wuhan University, 430079 Wuhan, China; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, 430079 Wuhan, China. Electronic address: junjia@whu.edu.cn.

Márcio Ajudarte Lopes

2 publications dans cette catégorie

Affiliations :
  • Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil.

Dimitris Tatsis

2 publications dans cette catégorie

Affiliations :
  • Department of Oral and Maxillofacial Surgery, General Hospital of Thessaloniki "G. Papanikolaou", Pylaia.
Publications dans "Tumeurs de la glande sublinguale" :

Dong Hoon Lee

2 publications dans cette catégorie

Affiliations :
  • Department of Otolaryngology-Head and Neck Surgery, 65722Chonnam National University Medical School and Hwasun Hospital, Hwasun, South Korea.
Publications dans "Tumeurs de la glande sublinguale" :

Sang Chul Lim

2 publications dans cette catégorie

Affiliations :
  • Department of Otolaryngology-Head and Neck Surgery, 65722Chonnam National University Medical School and Hwasun Hospital, Hwasun, South Korea.
Publications dans "Tumeurs de la glande sublinguale" :

Si-Rui Ma

2 publications dans cette catégorie

Affiliations :
  • Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Wuhan University, 430079 Wuhan, China; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, 430079 Wuhan, China.
Publications dans "Tumeurs de la glande sublinguale" :

Liang Mao

2 publications dans cette catégorie

Affiliations :
  • Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Wuhan University, 430079 Wuhan, China; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, 430079 Wuhan, China.
Publications dans "Tumeurs de la glande sublinguale" :

Ilan Weinreb

2 publications dans cette catégorie

Affiliations :
  • Departments of Pathology.

Yoshitaka Utsumi

2 publications dans cette catégorie

Affiliations :
  • Department of Anatomic Pathology, Tokyo Medical University.

Jeffrey Gagan

2 publications dans cette catégorie

Affiliations :
  • Department of Pathology, UT Southwestern Medical Center, Dallas, TX.

Masato Nakaguro

2 publications dans cette catégorie

Affiliations :
  • Department of Pathology and Laboratory Medicine, Nagoya University Hospital, Nagoya, Japan.

Toshitaka Nagao

2 publications dans cette catégorie

Affiliations :
  • Department of Anatomic Pathology, Tokyo Medical University.

Giuseppe Colella

2 publications dans cette catégorie

Affiliations :
  • Multidisciplinary Department of Medical, Surgical and Dental Specialities, Maxillo-Facial Unit, University of Campania "L. Vanvitelli", Naples, Italy.

Leão Pereira Pinto

2 publications dans cette catégorie

Affiliations :
  • Universidade Federal do Rio Grande do Norte - UFRN, Department of Dentistry, Natal, RN, Brazil.

Lélia Batista de Souza

2 publications dans cette catégorie

Affiliations :
  • Universidade Federal do Rio Grande do Norte - UFRN, Department of Dentistry, Natal, RN, Brazil.

M Gontarz

1 publication dans cette catégorie

Affiliations :
  • Department of Cranio-Maxillofacial Surgery Jagiellonian University Medical College, University Hospital 2 Jakubowskiego Street, 30-688 Cracow, Poland michal.gontarz@uj.edu.pl.
Publications dans "Tumeurs de la glande sublinguale" :

M Urbańska-Gąsiorowska

1 publication dans cette catégorie

Publications dans "Tumeurs de la glande sublinguale" :

Sources (10000 au total)

A fast and practical computation method for magnetic resonance simulators.

This work aims to develop a fast and practical computation method for MR simulations. The computational cost of MR simulations is often high because magnetizations of many isochromats are updated usin... A new method for efficiently processing subsequences with RF pulses is proposed. Rather than using an iterative update approach, the proposed method computes the combined transition which combines all... The proposed method was found to accelerate the simulation by ˜20 times when 3.9 million isochromats were simulated using spin-echo sequences. Even on a laptop computer, the proposed method was able t... An efficient method for simulating pulse sequences is proposed. The proposed method computes and manages combined transitions, making MR simulation practical on a wide range of computers, including la...

Lumbar intervertebral disc segmentation for computer modeling and simulation.

The present work had as its main objective the development of a method for localizing and automatically segmenting lumbar intervertebral discs (IVD) in 3D from magnetic resonance imaging (MRI), with t... The method presented here evolves from 2D segmentations in the sagittal profile using Gabor filters towards 3D segmentations. It works by detecting the spine curves and intensity regions corresponding... The method showed average values of 85%, 83% and 96% for the Dice coefficient, sensitivity and specificity, respectively. The method correctly identified 65 of 68 (96%) IVD as either healthy or degene... The developed method can be used to generate accurate 3D models of the IVD based on MRI, with AF/NP distinction and detection of marked degeneration by comparing each IVD with the remaining spine leve...

Computational simulation of cellular proliferation using a meshless method.

During cell proliferation, cells grow and divide in order to obtain two new genetically identical cells. Understanding this process is crucial to comprehend other biological processes. Computational m... For the first time, an iterative discrete model solved by the Radial Point Interpolation Method based on the Galerkin weak form was used to establish the system of equations from the reaction-diffusio... It was found that an integration scheme of 6 × 6 per integration cell and influence-domains with only seven nodes allows to predict the cellular growth and division with the best balance between the r... Even in a preliminary phase, the obtained results are promising, indicating that the algorithm might be a potential tool to study cell proliferation since it can predict cellular growth and division. ...