Detalhe da pesquisa
1.
Topology-based radiomic features for prediction of parotid gland cancer malignancy grade in magnetic resonance images.
MAGMA
; 36(5): 767-777, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37079154
2.
Stratification of prostate cancer patients into low- and high-grade groups using multiparametric magnetic resonance radiomics with dynamic contrast-enhanced image joint histograms.
Prostate
; 82(3): 330-344, 2022 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-35014713
3.
Automated approach for estimation of grade groups for prostate cancer based on histological image feature analysis.
Prostate
; 80(3): 291-302, 2020 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-31868968
4.
Magnetic resonance-based imaging biopsy with signatures including topological Betti number features for prediction of primary brain metastatic sites.
Phys Eng Sci Med
; 46(4): 1411-1426, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37603131
5.
Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images.
Phys Eng Sci Med
; 46(1): 83-97, 2023 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-36469246
6.
Combination of Clinical Factors and Radiomics Can Predict Local Recurrence and Metastasis After Stereotactic Body Radiotherapy for Non-small Cell Lung Cancer.
Anticancer Res
; 43(11): 5003-5013, 2023 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-37909956
7.
Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients.
Comput Methods Programs Biomed
; 236: 107544, 2023 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-37148668
8.
Imaging-based chromatin and epigenetic age, ImAge, quantitates aging and rejuvenation.
Res Sq
; 2023 Nov 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-37986947
9.
Synergistic combination of a topologically invariant imaging signature and a biomarker for the accurate prediction of symptomatic radiation pneumonitis before stereotactic ablative radiotherapy for lung cancer: A retrospective analysis.
PLoS One
; 17(1): e0263292, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35100322
10.
Can Persistent Homology Features Capture More Intrinsic Information about Tumors from 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Images of Head and Neck Cancer Patients?
Metabolites
; 12(10)2022 Oct 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-36295874
11.
Relapse predictability of topological signature on pretreatment planning CT images of stage I non-small cell lung cancer patients before treatment with stereotactic ablative radiotherapy.
Thorac Cancer
; 13(15): 2117-2126, 2022 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35711108
12.
Robust radiogenomics approach to the identification of EGFR mutations among patients with NSCLC from three different countries using topologically invariant Betti numbers.
PLoS One
; 16(1): e0244354, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33428651
13.
Homological radiomics analysis for prognostic prediction in lung cancer patients.
Phys Med
; 69: 90-100, 2020 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-31855844
14.
Radiomic features based on Hessian index for prediction of prognosis in head-and-neck cancer patients.
Sci Rep
; 10(1): 21301, 2020 12 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-33277570
15.
Radiomic prediction of radiation pneumonitis on pretreatment planning computed tomography images prior to lung cancer stereotactic body radiation therapy.
Sci Rep
; 10(1): 20424, 2020 11 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-33235324
16.
Automated classification of urinary stones based on microcomputed tomography images using convolutional neural network.
Phys Med
; 78: 201-208, 2020 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-33039971
17.
Semi-automated prediction approach of target shifts using machine learning with anatomical features between planning and pretreatment CT images in prostate radiotherapy.
J Radiat Res
; 61(2): 285-297, 2020 Mar 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-31994702
18.
Radiomics with artificial intelligence for precision medicine in radiation therapy.
J Radiat Res
; 60(1): 150-157, 2019 Jan 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30247662
19.
Feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy.
Radiol Phys Technol
; 11(4): 434-444, 2018 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-30267211
20.
Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis.
Radiol Phys Technol
; 11(4): 365-374, 2018 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-30374837