299 related articles for article (PubMed ID: 36463703)
41. Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.
Huang Y; Wei L; Hu Y; Shao N; Lin Y; He S; Shi H; Zhang X; Lin Y
Front Oncol; 2021; 11():706733. PubMed ID: 34490107
[TBL] [Abstract][Full Text] [Related]
42. Multi-parametric MRI-based radiomics signature for preoperative prediction of Ki-67 proliferation status in sinonasal malignancies: a two-centre study.
Bi S; Li J; Wang T; Man F; Zhang P; Hou F; Wang H; Hao D
Eur Radiol; 2022 Oct; 32(10):6933-6942. PubMed ID: 35687135
[TBL] [Abstract][Full Text] [Related]
43. Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients.
Kim JY; Park JE; Jo Y; Shim WH; Nam SJ; Kim JH; Yoo RE; Choi SH; Kim HS
Neuro Oncol; 2019 Feb; 21(3):404-414. PubMed ID: 30107606
[TBL] [Abstract][Full Text] [Related]
44. A brain tumor computer-aided diagnosis method with automatic lesion segmentation and ensemble decision strategy.
Yu L; Yu Z; Sun L; Zhu L; Geng D
Front Med (Lausanne); 2023; 10():1232496. PubMed ID: 37841015
[TBL] [Abstract][Full Text] [Related]
45. A radiomics nomogram based on multiparametric MRI might stratify glioblastoma patients according to survival.
Zhang X; Lu H; Tian Q; Feng N; Yin L; Xu X; Du P; Liu Y
Eur Radiol; 2019 Oct; 29(10):5528-5538. PubMed ID: 30847586
[TBL] [Abstract][Full Text] [Related]
46. Presurgical MRI-Based Radiomics Models for Predicting Cerebellar Mutism Syndrome in Children With Posterior Fossa Tumors.
Yang W; Yang P; Li Y; Chen J; Chen J; Cai Y; Zhu K; Zhang H; Li Y; Peng Y; Ge M
J Magn Reson Imaging; 2023 Dec; 58(6):1966-1976. PubMed ID: 37009777
[TBL] [Abstract][Full Text] [Related]
47. Invasive ductal breast cancer: preoperative predict Ki-67 index based on radiomics of ADC maps.
Zhang Y; Zhu Y; Zhang K; Liu Y; Cui J; Tao J; Wang Y; Wang S
Radiol Med; 2020 Feb; 125(2):109-116. PubMed ID: 31696388
[TBL] [Abstract][Full Text] [Related]
48. Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis.
Nakamoto T; Takahashi W; Haga A; Takahashi S; Kiryu S; Nawa K; Ohta T; Ozaki S; Nozawa Y; Tanaka S; Mukasa A; Nakagawa K
Sci Rep; 2019 Dec; 9(1):19411. PubMed ID: 31857632
[TBL] [Abstract][Full Text] [Related]
49. Correlation of amino-acid uptake using methionine PET and histological classifications in various gliomas.
Torii K; Tsuyuguchi N; Kawabe J; Sunada I; Hara M; Shiomi S
Ann Nucl Med; 2005 Dec; 19(8):677-83. PubMed ID: 16444993
[TBL] [Abstract][Full Text] [Related]
50. [A multi-modal feature fusion classification model based on distance matching and discriminative representation learning for differentiation of high-grade glioma from solitary brain metastasis].
Zhang Z; Xie J; Zhong W; Liang F; Yang R; Zhen X
Nan Fang Yi Ke Da Xue Xue Bao; 2024 Jan; 44(1):138-145. PubMed ID: 38293985
[TBL] [Abstract][Full Text] [Related]
51. MR-based radiomics predictive modelling of EGFR mutation and HER2 overexpression in metastatic brain adenocarcinoma: a two-centre study.
Li Y; Jin Y; Wang Y; Liu W; Jia W; Wang J
Cancer Imaging; 2024 May; 24(1):65. PubMed ID: 38773634
[TBL] [Abstract][Full Text] [Related]
52. Development and validation of a machine learning algorithm for predicting diffuse midline glioma, H3 K27-altered, H3 K27 wild-type high-grade glioma, and primary CNS lymphoma of the brain midline in adults.
Lv K; Chen H; Cao X; Du P; Chen J; Liu X; Zhu L; Geng D; Zhang J
J Neurosurg; 2023 Aug; 139(2):393-401. PubMed ID: 36681946
[TBL] [Abstract][Full Text] [Related]
53. Classification of the glioma grading using radiomics analysis.
Cho HH; Lee SH; Kim J; Park H
PeerJ; 2018; 6():e5982. PubMed ID: 30498643
[TBL] [Abstract][Full Text] [Related]
54. Multiparametric MRI-based fusion radiomics for predicting telomerase reverse transcriptase (TERT) promoter mutations and progression-free survival in glioblastoma: a multicentre study.
Zhang H; Zhang H; Zhang Y; Zhou B; Wu L; Yang W; Lei Y; Huang B
Neuroradiology; 2024 Jan; 66(1):81-92. PubMed ID: 37978079
[TBL] [Abstract][Full Text] [Related]
55. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
Du P; Liu X; Wu X; Chen J; Cao A; Geng D
Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
[TBL] [Abstract][Full Text] [Related]
56. Differentiation of Treatment-Related Effects from Glioma Recurrence Using Machine Learning Classifiers Based Upon Pre-and Post-Contrast T1WI and T2 FLAIR Subtraction Features: A Two-Center Study.
Gao XY; Wang YD; Wu SM; Rui WT; Ma DN; Duan Y; Zhang AN; Yao ZW; Yang G; Yu YP
Cancer Manag Res; 2020; 12():3191-3201. PubMed ID: 32440216
[TBL] [Abstract][Full Text] [Related]
57. MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting.
Sakai Y; Yang C; Kihira S; Tsankova N; Khan F; Hormigo A; Lai A; Cloughesy T; Nael K
Int J Mol Sci; 2020 Oct; 21(21):. PubMed ID: 33121211
[TBL] [Abstract][Full Text] [Related]
58. Using radiomics based on multicenter magnetic resonance images to predict isocitrate dehydrogenase mutation status of gliomas.
Liu Y; Zheng Z; Wang Z; Qian X; Yao Z; Cheng C; Zhou Z; Gao F; Dai Y
Quant Imaging Med Surg; 2023 Apr; 13(4):2143-2155. PubMed ID: 37064376
[TBL] [Abstract][Full Text] [Related]
59. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
[TBL] [Abstract][Full Text] [Related]
60. MRI-based machine learning models predict the malignant biological behavior of meningioma.
Li M; Liu L; Qi J; Qiao Y; Zeng H; Jiang W; Zhu R; Chen F; Huang H; Wu S
BMC Med Imaging; 2023 Sep; 23(1):141. PubMed ID: 37759192
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
