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1.
Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T1-weighted Contrast-enhanced Imaging.
BMC Med Imaging
; 21(1): 17, 2021 02 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-33535988
2.
Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist's reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images.
BMC Neurol
; 20(1): 48, 2020 Feb 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-32033580
3.
Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying Glioma.
J Magn Reson Imaging
; 49(5): 1263-1274, 2019 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-30623514
4.
Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysis.
BMC Cancer
; 18(1): 215, 2018 02 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-29467012
5.
Radiomics strategy for glioma grading using texture features from multiparametric MRI.
J Magn Reson Imaging
; 48(6): 1518-1528, 2018 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-29573085
6.
Combination of IVIM-DWI and 3D-ASL for differentiating true progression from pseudoprogression of Glioblastoma multiforme after concurrent chemoradiotherapy: study protocol of a prospective diagnostic trial.
BMC Med Imaging
; 17(1): 10, 2017 02 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-28143434
7.
Classification of Prostate Transitional Zone Cancer and Hyperplasia Using Deep Transfer Learning From Disease-Related Images.
Cureus
; 13(3): e14108, 2021 Mar 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-33927922
8.
Amide Proton Transfer Imaging in Predicting Isocitrate Dehydrogenase 1 Mutation Status of Grade II/III Gliomas Based on Support Vector Machine.
Front Neurosci
; 14: 144, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32153362
9.
Perfusion, Diffusion, Or Brain Tumor Barrier Integrity: Which Represents The Glioma Features Best?
Cancer Manag Res
; 11: 9989-10000, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31819632
10.
Comparison between ultra-high and conventional mono b-value DWI for preoperative glioma grading.
Oncotarget
; 8(23): 37884-37895, 2017 Jun 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-28039453
11.
Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.
Oncotarget
; 8(29): 47816-47830, 2017 Jul 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-28599282
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