Detalhe da pesquisa
1.
A methodological framework for AI-assisted diagnosis of active aortitis using radiomic analysis of FDG PET-CT images: Initial analysis.
J Nucl Cardiol
; 29(6): 3315-3331, 2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-35322380
2.
Automated multiclass segmentation, quantification, and visualization of the diseased aorta on hybrid PET/CT-SEQUOIA.
Med Phys
; 51(6): 4297-4310, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38323867
3.
Exploring the Utility of Cardiovascular Magnetic Resonance Radiomic Feature Extraction for Evaluation of Cardiac Sarcoidosis.
Diagnostics (Basel)
; 13(11)2023 May 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-37296722
4.
An Automated Method for Artifical Intelligence Assisted Diagnosis of Active Aortitis Using Radiomic Analysis of FDG PET-CT Images.
Biomolecules
; 13(2)2023 02 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-36830712
5.
Exploring the Utility of Radiomic Feature Extraction to Improve the Diagnostic Accuracy of Cardiac Sarcoidosis Using FDG PET.
Front Med (Lausanne)
; 9: 840261, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35295595