Detalhe da pesquisa
1.
Deep learning-based harmonization of CT reconstruction kernels towards improved clinical task performance.
Eur Radiol
; 33(4): 2426-2438, 2023 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-36355196
2.
Multimodality radiomics analysis based on [18F]FDG PET/CT imaging and multisequence MRI: application to nasopharyngeal carcinoma prognosis.
Eur Radiol
; 33(10): 6677-6688, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37060444
3.
Evaluation of the diagnostic value of joint PET myocardial perfusion and metabolic imaging for vascular stenosis in patients with obstructive coronary artery disease.
J Nucl Cardiol
; 28(6): 3070-3080, 2021 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32440989
4.
Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT.
Eur Radiol
; 28(8): 3245-3254, 2018 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-29520429
5.
BAF-Net: bidirectional attention-aware fluid pyramid feature integrated multimodal fusion network for diagnosis and prognosis.
Phys Med Biol
; 69(10)2024 Apr 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-38593831
6.
Semi-supervised model based on implicit neural representation and mutual learning (SIMN) for multi-center nasopharyngeal carcinoma segmentation on MRI.
Comput Biol Med
; 175: 108368, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38663351
7.
Impact of Aggregation Methods for Texture Features on Their Robustness Performance: Application to Nasopharyngeal 18F-FDG PET/CT.
Cancers (Basel)
; 15(3)2023 Feb 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36765889
8.
Functional-structural sub-region graph convolutional network (FSGCN): Application to the prognosis of head and neck cancer with PET/CT imaging.
Comput Methods Programs Biomed
; 230: 107341, 2023 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-36682111
9.
Prognostic generalization of multi-level CT-dose fusion dosiomics from primary tumor and lymph node in nasopharyngeal carcinoma.
Med Phys
; 50(2): 922-934, 2023 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-36317870
10.
Prognostic value of 18F-FDG PET/CT-based radiomics combining dosiomics and dose volume histogram for head and neck cancer.
EJNMMI Res
; 13(1): 14, 2023 Feb 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-36779997
11.
Optimal batch determination for improved harmonization and prognostication of multi-center PET/CT radiomics feature in head and neck cancer.
Phys Med Biol
; 68(22)2023 Nov 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-37844604
12.
Imbalanced Data Correction Based PET/CT Radiomics Model for Predicting Lymph Node Metastasis in Clinical Stage T1 Lung Adenocarcinoma.
Front Oncol
; 12: 788968, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35155231
13.
Context-Aware Saliency Guided Radiomics: Application to Prediction of Outcome and HPV-Status from Multi-Center PET/CT Images of Head and Neck Cancer.
Cancers (Basel)
; 14(7)2022 Mar 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-35406449
14.
Evaluation and optimization of radiomics features stability to respiratory motion in 18 F-FDG 3D PET imaging.
Med Phys
; 48(9): 5165-5178, 2021 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-34085282
15.
GapFill-Recon Net: A Cascade Network for simultaneously PET Gap Filling and Image Reconstruction.
Comput Methods Programs Biomed
; 208: 106271, 2021 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-34274612
16.
Identification of Stage IIIC/IV EGFR-Mutated Non-Small Cell Lung Cancer Populations Sensitive to Targeted Therapy Based on a PET/CT Radiomics Risk Model.
Front Oncol
; 11: 721318, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34796106
17.
Integration of PET/CT Radiomics and Semantic Features for Differentiation between Active Pulmonary Tuberculosis and Lung Cancer.
Mol Imaging Biol
; 23(2): 287-298, 2021 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-33030709
18.
Multi-Level Multi-Modality Fusion Radiomics: Application to PET and CT Imaging for Prognostication of Head and Neck Cancer.
IEEE J Biomed Health Inform
; 24(8): 2268-2277, 2020 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-31804945
19.
Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images.
Mol Imaging Biol
; 22(3): 730-738, 2020 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-31338709
20.
Subregional Radiomics Analysis of PET/CT Imaging with Intratumor Partitioning: Application to Prognosis for Nasopharyngeal Carcinoma.
Mol Imaging Biol
; 22(5): 1414-1426, 2020 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-31659574