Detalhe da pesquisa
1.
Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI.
J Magn Reson Imaging
; 59(5): 1655-1664, 2024 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-37555723
2.
A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytoma.
Eur Radiol
; 34(1): 391-399, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-37553486
3.
Multicenter clinical radiomics-integrated model based on [18F]FDG PET and multi-modal MRI predict ATRX mutation status in IDH-mutant lower-grade gliomas.
Eur Radiol
; 33(2): 872-883, 2023 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-35984514
4.
A fusion model integrating magnetic resonance imaging radiomics and deep learning features for predicting alpha-thalassemia X-linked intellectual disability mutation status in isocitrate dehydrogenase-mutant high-grade astrocytoma: a multicenter study.
Quant Imaging Med Surg
; 14(1): 251-263, 2024 Jan 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-38223098
5.
Comparison of Different Machine Models Based on Multi-Phase Computed Tomography Radiomic Analysis to Differentiate Parotid Basal Cell Adenoma From Pleomorphic Adenoma.
Front Oncol
; 12: 889833, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35903689
6.
An Integrated Radiomics Model Incorporating Diffusion-Weighted Imaging and 18F-FDG PET Imaging Improves the Performance of Differentiating Glioblastoma From Solitary Brain Metastases.
Front Oncol
; 11: 732704, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34527594