109 related articles for article (PubMed ID: 30019255)
1. Personalized image-based tumor growth prediction in a convection-diffusion-reaction model.
Meghdadi N; Soltani M; Niroomand-Oscuii H; Yamani N
Acta Neurol Belg; 2020 Feb; 120(1):49-57. PubMed ID: 30019255
[TBL] [Abstract][Full Text] [Related]
2. Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI.
Sauwen N; Acou M; Van Cauter S; Sima DM; Veraart J; Maes F; Himmelreich U; Achten E; Van Huffel S
Neuroimage Clin; 2016; 12():753-764. PubMed ID: 27812502
[TBL] [Abstract][Full Text] [Related]
3. Quantitative multi-modal MR imaging as a non-invasive prognostic tool for patients with recurrent low-grade glioma.
Neill E; Luks T; Dayal M; Phillips JJ; Perry A; Jalbert LE; Cha S; Molinaro A; Chang SM; Nelson SJ
J Neurooncol; 2017 Mar; 132(1):171-179. PubMed ID: 28124178
[TBL] [Abstract][Full Text] [Related]
4. Modeling of glioma growth using modified reaction-diffusion equation on brain MR images.
Zhang Y; Liu PX; Hou W
Comput Methods Programs Biomed; 2022 Dec; 227():107233. PubMed ID: 36375418
[TBL] [Abstract][Full Text] [Related]
5. Mechanically Coupled Reaction-Diffusion Model to Predict Glioma Growth: Methodological Details.
Hormuth DA; Eldridge SL; Weis JA; Miga MI; Yankeelov TE
Methods Mol Biol; 2018; 1711():225-241. PubMed ID: 29344892
[TBL] [Abstract][Full Text] [Related]
6. Magnetic resonance analysis of malignant transformation in recurrent glioma.
Jalbert LE; Neill E; Phillips JJ; Lupo JM; Olson MP; Molinaro AM; Berger MS; Chang SM; Nelson SJ
Neuro Oncol; 2016 Aug; 18(8):1169-79. PubMed ID: 26911151
[TBL] [Abstract][Full Text] [Related]
7. Biopsy targeting gliomas: do functional imaging techniques identify similar target areas?
Weber MA; Henze M; Tüttenberg J; Stieltjes B; Meissner M; Zimmer F; Burkholder I; Kroll A; Combs SE; Vogt-Schaden M; Giesel FL; Zoubaa S; Haberkorn U; Kauczor HU; Essig M
Invest Radiol; 2010 Dec; 45(12):755-68. PubMed ID: 20829706
[TBL] [Abstract][Full Text] [Related]
8. Diagnostic value of fusion of metabolic and structural images for stereotactic biopsy of brain tumors without enhancement after contrast medium injection.
Todeschi J; Bund C; Cebula H; Chibbaro S; Lhermitte B; Pin Y; Lefebvre F; Namer IJ; Proust F
Neurochirurgie; 2019 Dec; 65(6):357-364. PubMed ID: 31560911
[TBL] [Abstract][Full Text] [Related]
9. 3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients.
Nie D; Zhang H; Adeli E; Liu L; Shen D
Med Image Comput Comput Assist Interv; 2016 Oct; 9901():212-220. PubMed ID: 28149967
[TBL] [Abstract][Full Text] [Related]
10. Mathematical modeling of brain glioma growth using modified reaction-diffusion equation on brain MR images.
Yuan J; Liu L; Hu Q
Comput Biol Med; 2013 Dec; 43(12):2007-13. PubMed ID: 24290915
[TBL] [Abstract][Full Text] [Related]
11. Magnetic resonance imaging determination of tumor grade and early response to temozolomide in a genetically engineered mouse model of glioma.
McConville P; Hambardzumyan D; Moody JB; Leopold WR; Kreger AR; Woolliscroft MJ; Rehemtulla A; Ross BD; Holland EC
Clin Cancer Res; 2007 May; 13(10):2897-904. PubMed ID: 17504989
[TBL] [Abstract][Full Text] [Related]
12. Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model.
Le M; Delingette H; Kalpathy-Cramer J; Gerstner ER; Batchelor T; Unkelbach J; Ayache N
IEEE Trans Med Imaging; 2017 Mar; 36(3):815-825. PubMed ID: 28113925
[TBL] [Abstract][Full Text] [Related]
13. Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages.
Nie D; Lu J; Zhang H; Adeli E; Wang J; Yu Z; Liu L; Wang Q; Wu J; Shen D
Sci Rep; 2019 Jan; 9(1):1103. PubMed ID: 30705340
[TBL] [Abstract][Full Text] [Related]
14. 3D-ASL perfusion correlates with VEGF expression and overall survival in glioma patients: Comparison of quantitative perfusion and pathology on accurate spatial location-matched basis.
Pang H; Dang X; Ren Y; Zhuang D; Qiu T; Chen H; Zhang J; Ma N; Li G; Zhang J; Wu J; Feng X
J Magn Reson Imaging; 2019 Jul; 50(1):209-220. PubMed ID: 30652410
[TBL] [Abstract][Full Text] [Related]
15. Prediction of pathology and survival by FDG PET in gliomas.
Padma MV; Said S; Jacobs M; Hwang DR; Dunigan K; Satter M; Christian B; Ruppert J; Bernstein T; Kraus G; Mantil JC
J Neurooncol; 2003 Sep; 64(3):227-37. PubMed ID: 14558598
[TBL] [Abstract][Full Text] [Related]
16. Textural features of dynamic contrast-enhanced MRI derived model-free and model-based parameter maps in glioma grading.
Xie T; Chen X; Fang J; Kang H; Xue W; Tong H; Cao P; Wang S; Yang Y; Zhang W
J Magn Reson Imaging; 2018 Apr; 47(4):1099-1111. PubMed ID: 28845594
[TBL] [Abstract][Full Text] [Related]
17. Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks.
Liu L; Zhang H; Wu J; Yu Z; Chen X; Rekik I; Wang Q; Lu J; Shen D
Brain Imaging Behav; 2019 Oct; 13(5):1333-1351. PubMed ID: 30155788
[TBL] [Abstract][Full Text] [Related]
18. Modeling glioma growth and mass effect in 3D MR images of the brain.
Hogea C; Davatzikos C; Biros G
Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):642-50. PubMed ID: 18051113
[TBL] [Abstract][Full Text] [Related]
19. Apparent diffusion coefficient values and non-homogeneity of diffusion in brain tumors in diffusion-weighted MRI.
Basirjafari S; Poureisa M; Shahhoseini B; Zarei M; Aghayari Sheikh Neshin S; Anvari Aria S; Nouri-Vaskeh M
Acta Radiol; 2020 Feb; 61(2):244-252. PubMed ID: 31264441
[No Abstract] [Full Text] [Related]
20. A potential field segmentation based method for tumor segmentation on multi-parametric MRI of glioma cancer patients.
Sun R; Wang K; Guo L; Yang C; Chen J; Ti Y; Sa Y
BMC Med Imaging; 2019 Jun; 19(1):48. PubMed ID: 31208349
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]