175 related articles for article (PubMed ID: 34006893)
1. Machine learning based differentiation of glioblastoma from brain metastasis using MRI derived radiomics.
Priya S; Liu Y; Ward C; Le NH; Soni N; Pillenahalli Maheshwarappa R; Monga V; Zhang H; Sonka M; Bathla G
Sci Rep; 2021 May; 11(1):10478. PubMed ID: 34006893
[TBL] [Abstract][Full Text] [Related]
2. AI-based classification of three common malignant tumors in neuro-oncology: A multi-institutional comparison of machine learning and deep learning methods.
Bathla G; Dhruba DD; Soni N; Liu Y; Larson NB; Kassmeyer BA; Mohan S; Roberts-Wolfe D; Rathore S; Le NH; Zhang H; Sonka M; Priya S
J Neuroradiol; 2024 May; 51(3):258-264. PubMed ID: 37652263
[TBL] [Abstract][Full Text] [Related]
3. Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques.
Bathla G; Priya S; Liu Y; Ward C; Le NH; Soni N; Maheshwarappa RP; Monga V; Zhang H; Sonka M
Eur Radiol; 2021 Nov; 31(11):8703-8713. PubMed ID: 33890149
[TBL] [Abstract][Full Text] [Related]
4. Radiomic Based Machine Learning Performance for a Three Class Problem in Neuro-Oncology: Time to Test the Waters?
Priya S; Liu Y; Ward C; Le NH; Soni N; Pillenahalli Maheshwarappa R; Monga V; Zhang H; Sonka M; Bathla G
Cancers (Basel); 2021 May; 13(11):. PubMed ID: 34073840
[TBL] [Abstract][Full Text] [Related]
5. An integrative non-invasive malignant brain tumors classification and Ki-67 labeling index prediction pipeline with radiomics approach.
Zhang L; Liu X; Xu X; Liu W; Jia Y; Chen W; Fu X; Li Q; Sun X; Zhang Y; Shu S; Zhang X; Xiang R; Chen H; Sun P; Geng D; Yu Z; Liu J; Wang J
Eur J Radiol; 2023 Jan; 158():110639. PubMed ID: 36463703
[TBL] [Abstract][Full Text] [Related]
6. Differentiating Glioblastoma Multiforme from Brain Metastases Using Multidimensional Radiomics Features Derived from MRI and Multiple Machine Learning Models.
Bijari S; Jahanbakhshi A; Hajishafiezahramini P; Abdolmaleki P
Biomed Res Int; 2022; 2022():2016006. PubMed ID: 36212721
[TBL] [Abstract][Full Text] [Related]
7. The effect of glioblastoma heterogeneity on survival stratification: a multimodal MR imaging texture analysis.
Liu Y; Zhang X; Feng N; Yin L; He Y; Xu X; Lu H
Acta Radiol; 2018 Oct; 59(10):1239-1246. PubMed ID: 29430935
[TBL] [Abstract][Full Text] [Related]
8. Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis.
Artzi M; Bressler I; Ben Bashat D
J Magn Reson Imaging; 2019 Aug; 50(2):519-528. PubMed ID: 30635952
[TBL] [Abstract][Full Text] [Related]
9. T2-FLAIR mismatch sign and machine learning-based multiparametric MRI radiomics in predicting IDH mutant 1p/19q non-co-deleted diffuse lower-grade gliomas.
Tang WT; Su CQ; Lin J; Xia ZW; Lu SS; Hong XN
Clin Radiol; 2024 May; 79(5):e750-e758. PubMed ID: 38360515
[TBL] [Abstract][Full Text] [Related]
10. A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI.
Yin P; Mao N; Zhao C; Wu J; Chen L; Hong N
J Magn Reson Imaging; 2019 Mar; 49(3):752-759. PubMed ID: 30430686
[TBL] [Abstract][Full Text] [Related]
11. Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures.
Zhang Y; Zhang H; Zhang H; Ouyang Y; Su R; Yang W; Huang B
J Magn Reson Imaging; 2023 Nov; ():. PubMed ID: 37955154
[TBL] [Abstract][Full Text] [Related]
12. Multiparametric-MRI-Based Radiomics Model for Differentiating Primary Central Nervous System Lymphoma From Glioblastoma: Development and Cross-Vendor Validation.
Xia W; Hu B; Li H; Geng C; Wu Q; Yang L; Yin B; Gao X; Li Y; Geng D
J Magn Reson Imaging; 2021 Jan; 53(1):242-250. PubMed ID: 32864825
[TBL] [Abstract][Full Text] [Related]
13. MRI radiomics to differentiate between low grade glioma and glioblastoma peritumoral region.
Malik N; Geraghty B; Dasgupta A; Maralani PJ; Sandhu M; Detsky J; Tseng CL; Soliman H; Myrehaug S; Husain Z; Perry J; Lau A; Sahgal A; Czarnota GJ
J Neurooncol; 2021 Nov; 155(2):181-191. PubMed ID: 34694564
[TBL] [Abstract][Full Text] [Related]
14. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
15. Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma.
Li ZC; Bai H; Sun Q; Zhao Y; Lv Y; Zhou J; Liang C; Chen Y; Liang D; Zheng H
Cancer Med; 2018 Dec; 7(12):5999-6009. PubMed ID: 30426720
[TBL] [Abstract][Full Text] [Related]
16. Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach.
Suh HB; Choi YS; Bae S; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK
Eur Radiol; 2018 Sep; 28(9):3832-3839. PubMed ID: 29626238
[TBL] [Abstract][Full Text] [Related]
17. Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T
Sun YZ; Yan LF; Han Y; Nan HY; Xiao G; Tian Q; Pu WH; Li ZY; Wei XC; Wang W; Cui GB
BMC Med Imaging; 2021 Feb; 21(1):17. PubMed ID: 33535988
[TBL] [Abstract][Full Text] [Related]
18. Radiomics-based evaluation and possible characterization of dynamic contrast enhanced (DCE) perfusion derived different sub-regions of Glioblastoma.
Suhail Parvaze ; Bhattacharjee R; Singh A; Ahlawat S; Patir R; Vaishya S; Shah TJ; Gupta RK
Eur J Radiol; 2023 Feb; 159():110655. PubMed ID: 36577183
[TBL] [Abstract][Full Text] [Related]
19. Multiparametric Magnetic Resonance Imaging in the Assessment of Primary Brain Tumors Through Radiomic Features: A Metric for Guided Radiation Treatment Planning.
Florez E; Nichols T; E Parker E; T Lirette S; Howard CM; Fatemi A
Cureus; 2018 Oct; 10(10):e3426. PubMed ID: 30542636
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning Radiomics for the Assessment of Telomerase Reverse Transcriptase Promoter Mutation Status in Patients With Glioblastoma Using Multiparametric MRI.
Zhang H; Zhang H; Zhang Y; Zhou B; Wu L; Lei Y; Huang B
J Magn Reson Imaging; 2023 Nov; 58(5):1441-1451. PubMed ID: 36896953
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
