These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
608 related articles for article (PubMed ID: 30635952)
41. Radiomic-Based MRI for Classification of Solitary Brain Metastases Subtypes From Primary Lymphoma of the Central Nervous System. Zhao LM; Hu R; Xie FF; Clay Kargilis D; Imami M; Yang S; Guo JQ; Jiao X; Chen RT; Wei-Hua L; Li L J Magn Reson Imaging; 2023 Jan; 57(1):227-235. PubMed ID: 35652509 [TBL] [Abstract][Full Text] [Related]
42. Glioblastomas and brain metastases differentiation following an MRI texture analysis-based radiomics approach. Ortiz-Ramón R; Ruiz-España S; Mollá-Olmos E; Moratal D Phys Med; 2020 Aug; 76():44-54. PubMed ID: 32593138 [TBL] [Abstract][Full Text] [Related]
43. Discrimination between Glioblastoma and Solitary Brain Metastasis: Comparison of Inflow-Based Vascular-Space-Occupancy and Dynamic Susceptibility Contrast MR Imaging. Li X; Wang D; Liao S; Guo L; Xiao X; Liu X; Xu Y; Hua J; Pillai JJ; Wu Y AJNR Am J Neuroradiol; 2020 Apr; 41(4):583-590. PubMed ID: 32139428 [TBL] [Abstract][Full Text] [Related]
44. Computational quantitative MR image features - a potential useful tool in differentiating glioblastoma from solitary brain metastasis. Petrujkić K; Milošević N; Rajković N; Stanisavljević D; Gavrilović S; Dželebdžić D; Ilić R; Di Ieva A; Maksimović R Eur J Radiol; 2019 Oct; 119():108634. PubMed ID: 31473463 [TBL] [Abstract][Full Text] [Related]
45. Differentiation of Pilocytic Astrocytoma from Glioblastoma using a Machine-Learning framework based upon quantitative T1 perfusion MRI. Vats N; Sengupta A; Gupta RK; Patir R; Vaishya S; Ahlawat S; Saini J; Agarwal S; Singh A Magn Reson Imaging; 2023 May; 98():76-82. PubMed ID: 36572323 [TBL] [Abstract][Full Text] [Related]
46. Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images. Juntu J; Sijbers J; De Backer S; Rajan J; Van Dyck D J Magn Reson Imaging; 2010 Mar; 31(3):680-9. PubMed ID: 20187212 [TBL] [Abstract][Full Text] [Related]
47. Differentiation of Recurrent Glioblastoma from Delayed Radiation Necrosis by Using Voxel-based Multiparametric Analysis of MR Imaging Data. Yoon RG; Kim HS; Koh MJ; Shim WH; Jung SC; Kim SJ; Kim JH Radiology; 2017 Oct; 285(1):206-213. PubMed ID: 28535120 [TBL] [Abstract][Full Text] [Related]
48. The Application of DTCWT on MRI-Derived Radiomics for Differentiation of Glioblastoma and Solitary Brain Metastases. Wu WF; Shen CW; Lai KM; Chen YJ; Lin EC; Chen CC J Pers Med; 2022 Aug; 12(8):. PubMed ID: 36013225 [TBL] [Abstract][Full Text] [Related]
49. Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks. Sujit SJ; Coronado I; Kamali A; Narayana PA; Gabr RE J Magn Reson Imaging; 2019 Oct; 50(4):1260-1267. PubMed ID: 30811739 [TBL] [Abstract][Full Text] [Related]
50. Histogram analysis of amide proton transfer-weighted imaging: comparison of glioblastoma and solitary brain metastasis in enhancing tumors and peritumoral regions. Kamimura K; Nakajo M; Yoneyama T; Fukukura Y; Hirano H; Goto Y; Sasaki M; Akamine Y; Keupp J; Yoshiura T Eur Radiol; 2019 Aug; 29(8):4133-4140. PubMed ID: 30488111 [TBL] [Abstract][Full Text] [Related]
51. 2.5D deep learning based on multi-parameter MRI to differentiate primary lung cancer pathological subtypes in patients with brain metastases. Zhu J; Zou L; Xie X; Xu R; Tian Y; Zhang B Eur J Radiol; 2024 Nov; 180():111712. PubMed ID: 39222565 [TBL] [Abstract][Full Text] [Related]
52. 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]
53. Deep Learning With an Attention Mechanism for Differentiating the Origin of Brain Metastasis Using MR images. Jiao T; Li F; Cui Y; Wang X; Li B; Shi F; Xia Y; Zhou Q; Zeng Q J Magn Reson Imaging; 2023 Nov; 58(5):1624-1635. PubMed ID: 36965182 [TBL] [Abstract][Full Text] [Related]
54. Noninvasive Prediction of IDH1 Mutation and ATRX Expression Loss in Low-Grade Gliomas Using Multiparametric MR Radiomic Features. Ren Y; Zhang X; Rui W; Pang H; Qiu T; Wang J; Xie Q; Jin T; Zhang H; Chen H; Zhang Y; Lu H; Yao Z; Zhang J; Feng X J Magn Reson Imaging; 2019 Mar; 49(3):808-817. PubMed ID: 30194745 [TBL] [Abstract][Full Text] [Related]
55. T Crombé A; Périer C; Kind M; De Senneville BD; Le Loarer F; Italiano A; Buy X; Saut O J Magn Reson Imaging; 2019 Aug; 50(2):497-510. PubMed ID: 30569552 [TBL] [Abstract][Full Text] [Related]
56. Achieving imaging and computational reproducibility on multiparametric MRI radiomics features in brain tumor diagnosis: phantom and clinical validation. Cheong EN; Park JE; Park SY; Jung SC; Kim HS Eur Radiol; 2024 Mar; 34(3):2008-2023. PubMed ID: 37665391 [TBL] [Abstract][Full Text] [Related]
57. Utility of dynamic contrast-enhanced magnetic resonance imaging for differentiating glioblastoma, primary central nervous system lymphoma and brain metastatic tumor. Lu S; Gao Q; Yu J; Li Y; Cao P; Shi H; Hong X Eur J Radiol; 2016 Oct; 85(10):1722-1727. PubMed ID: 27666608 [TBL] [Abstract][Full Text] [Related]
58. Utility of Percentage Signal Recovery and Baseline Signal in DSC-MRI Optimized for Relative CBV Measurement for Differentiating Glioblastoma, Lymphoma, Metastasis, and Meningioma. Lee MD; Baird GL; Bell LC; Quarles CC; Boxerman JL AJNR Am J Neuroradiol; 2019 Sep; 40(9):1445-1450. PubMed ID: 31371360 [TBL] [Abstract][Full Text] [Related]
59. Texture analysis on diffusion tensor imaging: discriminating glioblastoma from single brain metastasis. Skogen K; Schulz A; Helseth E; Ganeshan B; Dormagen JB; Server A Acta Radiol; 2019 Mar; 60(3):356-366. PubMed ID: 29860889 [TBL] [Abstract][Full Text] [Related]
60. Differentiation between treatment-related changes and progressive disease in patients with high grade brain tumors using support vector machine classification based on DCE MRI. Artzi M; Liberman G; Nadav G; Blumenthal DT; Bokstein F; Aizenstein O; Ben Bashat D J Neurooncol; 2016 May; 127(3):515-24. PubMed ID: 26754857 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]