Publications
2019
J, Bianchi; Joao, R C; Ruellas, A C De Oliveira; Vimort, J B; Yatabe, Marilia; Beatriz, P; Pablo, H; Erika, B; Fabiana, N S; Helena, S C Lucia
Software comparison to analyze bone radiomics from high resolution CBCT scans of mandibular condyles. Journal Article
In: Dento Maxillo Facial Radiology, vol. 48, no. 6, 2019.
Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, software validation, temporomandibular joint disorders, tomography, X-ray computed
@article{Bianchi2019,
title = {Software comparison to analyze bone radiomics from high resolution CBCT scans of mandibular condyles.},
author = {Bianchi J and R C Joao and A C De Oliveira Ruellas and J B Vimort and Marilia Yatabe and P Beatriz and H Pablo and B Erika and N S Fabiana and S C Lucia Helena },
url = {https://pubmed.ncbi.nlm.nih.gov/31075043/},
doi = {10.1259/dmfr.20190049},
year = {2019},
date = {2019-09-00},
urldate = {2019-09-00},
journal = {Dento Maxillo Facial Radiology},
volume = {48},
number = {6},
abstract = {Radiomics refers to the extraction and analysis of advanced quantitative imaging from medical images to diagnose and/or predict diseases. In the dentistry field, the bone data from mandibular condyles could be computationally analyzed using the voxel information provided by high-resolution CBCT scans to increase the diagnostic power of temporomandibular joint (TMJ) conditions. However, such quantitative information demands innovative computational software, algorithm implementation, and validation. Our study's aim was to compare a newly developed BoneTexture application to two-consolidated software with previous applications in the medical field, Ibex and BoneJ, to extract bone morphometric and textural features from mandibular condyles.},
keywords = {AAOF, Cone-beam computed tomography, software validation, temporomandibular joint disorders, tomography, X-ray computed},
pubstate = {published},
tppubtype = {article}
}
J, Bianchi; Joao, R C; Ruellas, A C De Oliveira; Vimort, J B; Yatabe, Marilia; Beatriz, P; Pablo, H; Erika, B; Fabiana, N S; Helena, S C Lucia
Software comparison to analyze bone radiomics from high resolution CBCT scans of mandibular condyles. Journal Article
In: Dento Maxillo Facial Radiology, vol. 48, no. 6, 2019.
@article{Bianchi2019,
title = {Software comparison to analyze bone radiomics from high resolution CBCT scans of mandibular condyles.},
author = {Bianchi J and R C Joao and A C De Oliveira Ruellas and J B Vimort and Marilia Yatabe and P Beatriz and H Pablo and B Erika and N S Fabiana and S C Lucia Helena },
url = {https://pubmed.ncbi.nlm.nih.gov/31075043/},
doi = {10.1259/dmfr.20190049},
year = {2019},
date = {2019-09-00},
urldate = {2019-09-00},
journal = {Dento Maxillo Facial Radiology},
volume = {48},
number = {6},
abstract = {Radiomics refers to the extraction and analysis of advanced quantitative imaging from medical images to diagnose and/or predict diseases. In the dentistry field, the bone data from mandibular condyles could be computationally analyzed using the voxel information provided by high-resolution CBCT scans to increase the diagnostic power of temporomandibular joint (TMJ) conditions. However, such quantitative information demands innovative computational software, algorithm implementation, and validation. Our study's aim was to compare a newly developed BoneTexture application to two-consolidated software with previous applications in the medical field, Ibex and BoneJ, to extract bone morphometric and textural features from mandibular condyles.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2019 |
J, Bianchi; Joao, R C; Ruellas, A C De Oliveira; Vimort, J B; Yatabe, Marilia; Beatriz, P; Pablo, H; Erika, B; Fabiana, N S; Helena, S C Lucia: Software comparison to analyze bone radiomics from high resolution CBCT scans of mandibular condyles.. In: Dento Maxillo Facial Radiology, vol. 48, no. 6, 2019. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, software validation, temporomandibular joint disorders, tomography, X-ray computed)@article{Bianchi2019, Radiomics refers to the extraction and analysis of advanced quantitative imaging from medical images to diagnose and/or predict diseases. In the dentistry field, the bone data from mandibular condyles could be computationally analyzed using the voxel information provided by high-resolution CBCT scans to increase the diagnostic power of temporomandibular joint (TMJ) conditions. However, such quantitative information demands innovative computational software, algorithm implementation, and validation. Our study's aim was to compare a newly developed BoneTexture application to two-consolidated software with previous applications in the medical field, Ibex and BoneJ, to extract bone morphometric and textural features from mandibular condyles. |