Detalhe da pesquisa
1.
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.
PLoS Med
; 15(11): e1002711, 2018 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-30500819
2.
Antibody-targeting of ultra-small nanoparticles enhances imaging sensitivity and enables longitudinal tracking of multiple myeloma.
Nanoscale
; 11(43): 20485-20496, 2019 Nov 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-31650133
3.
Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC.
PLoS One
; 13(11): e0206108, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30388114
4.
Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT.
PLoS One
; 12(1): e0169172, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28046060
5.
Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.
J Thorac Oncol
; 12(3): 467-476, 2017 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-27903462
6.
Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung Cancer.
J Nucl Med
; 58(4): 569-576, 2017 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-27688480
7.
Lymph node volume predicts survival but not nodal clearance in Stage IIIA-IIIB NSCLC.
PLoS One
; 12(4): e0174268, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28426673
8.
Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer.
Cancer Res
; 77(14): 3922-3930, 2017 07 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-28566328
9.
Radiographic prediction of meningioma grade by semantic and radiomic features.
PLoS One
; 12(11): e0187908, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-29145421
10.
CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer.
Radiother Oncol
; 120(2): 258-66, 2016 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-27296412
11.
Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients.
Front Oncol
; 6: 72, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-27066454
12.
Use of registration-based contour propagation in texture analysis for esophageal cancer pathologic response prediction.
Phys Med Biol
; 61(2): 906-22, 2016 Jan 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-26738433
13.
Radiomic phenotype features predict pathological response in non-small cell lung cancer.
Radiother Oncol
; 119(3): 480-6, 2016 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-27085484
14.
Radiologic-pathologic correlation of response to chemoradiation in resectable locally advanced NSCLC.
Lung Cancer
; 102: 1-8, 2016 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-27987576
15.
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma.
Radiother Oncol
; 114(3): 345-50, 2015 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-25746350
16.
Low incidence of chest wall pain with a risk-adapted lung stereotactic body radiation therapy approach using three or five fractions based on chest wall dosimetry.
PLoS One
; 9(4): e94859, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-24728448