Detalhe da pesquisa
1.
Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomas.
BMC Cancer
; 23(1): 848, 2023 Sep 11.
Artigo
Inglês
| MEDLINE | ID: mdl-37697238
2.
Image-based deep learning identifies glioblastoma risk groups with genomic and transcriptomic heterogeneity: a multi-center study.
Eur Radiol
; 33(2): 904-914, 2023 Feb.
Artigo
Inglês
| MEDLINE | ID: mdl-36001125
3.
Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation study.
Lab Invest
; 102(2): 154-159, 2022 02.
Artigo
Inglês
| MEDLINE | ID: mdl-34782727
4.
Biologic Pathways Underlying Prognostic Radiomics Phenotypes from Paired MRI and RNA Sequencing in Glioblastoma.
Radiology
; 301(3): 654-663, 2021 12.
Artigo
Inglês
| MEDLINE | ID: mdl-34519578
5.
Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling pathways.
Eur Radiol
; 31(7): 5032-5040, 2021 Jul.
Artigo
Inglês
| MEDLINE | ID: mdl-33439312
6.
Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: A multicentre study.
Eur Radiol
; 28(9): 3640-3650, 2018 Sep.
Artigo
Inglês
| MEDLINE | ID: mdl-29564594
7.
Imaging-proteomic analysis for prediction of neoadjuvant chemotherapy responses in patients with breast cancer.
Cancer Med
; 12(23): 21256-21269, 2023 12.
Artigo
Inglês
| MEDLINE | ID: mdl-37962087
8.
A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer.
Abdom Radiol (NY)
; 48(11): 3332-3342, 2023 11.
Artigo
Inglês
| MEDLINE | ID: mdl-37716926
9.
Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study.
Mol Oncol
; 17(4): 629-646, 2023 04.
Artigo
Inglês
| MEDLINE | ID: mdl-36688633
10.
Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images.
Nat Commun
; 14(1): 6359, 2023 10 11.
Artigo
Inglês
| MEDLINE | ID: mdl-37821431
11.
Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities.
EBioMedicine
; 72: 103583, 2021 Oct.
Artigo
Inglês
| MEDLINE | ID: mdl-34563923
12.
Radiomics nomogram for preoperative prediction of progression-free survival using diffusion-weighted imaging in patients with muscle-invasive bladder cancer.
Eur J Radiol
; 131: 109219, 2020 Oct.
Artigo
Inglês
| MEDLINE | ID: mdl-32905953
13.
Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region.
Front Oncol
; 10: 53, 2020.
Artigo
Inglês
| MEDLINE | ID: mdl-32083007
14.
Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma.
Cancer Med
; 7(12): 5999-6009, 2018 12.
Artigo
Inglês
| MEDLINE | ID: mdl-30426720
15.
A Fully-Automatic Multiparametric Radiomics Model: Towards Reproducible and Prognostic Imaging Signature for Prediction of Overall Survival in Glioblastoma Multiforme.
Sci Rep
; 7(1): 14331, 2017 10 30.
Artigo
Inglês
| MEDLINE | ID: mdl-29085044