Detalhe da pesquisa
1.
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.
Radiology
; 310(2): e231319, 2024 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-38319168
2.
Sensitivity of standardised radiomics algorithms to mask generation across different software platforms.
Sci Rep
; 13(1): 14419, 2023 09 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-37660135
3.
Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging.
Sci Rep
; 9(1): 9649, 2019 07 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-31273242
4.
Discovery of stable and prognostic CT-based radiomic features independent of contrast administration and dimensionality in oesophageal cancer.
PLoS One
; 14(11): e0225550, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31756181
5.
External Validation of Radiation-Induced Dyspnea Models on Esophageal Cancer Radiotherapy Patients.
Front Oncol
; 9: 1411, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31921668
6.
External validation of a prognostic model incorporating quantitative PET image features in oesophageal cancer.
Radiother Oncol
; 133: 205-212, 2019 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-30424894
7.
Evaluation of prognostic models developed using standardised image features from different PET automated segmentation methods.
EJNMMI Res
; 8(1): 29, 2018 Apr 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-29644499