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.
162 related articles for article (PubMed ID: 24496552)
1. Multidimensional texture characterization: on analysis for brain tumor tissues using MRS and MRI. Nachimuthu DS; Baladhandapani A J Digit Imaging; 2014 Aug; 27(4):496-506. PubMed ID: 24496552 [TBL] [Abstract][Full Text] [Related]
2. MRI brain images healthy and pathological tissues classification with the aid of improved particle swarm optimization and neural network. Sheejakumari V; Sankara Gomathi B Comput Math Methods Med; 2015; 2015():807826. PubMed ID: 25977706 [TBL] [Abstract][Full Text] [Related]
3. Machine learning methods for the classification of gliomas: Initial results using features extracted from MR spectroscopy. Ranjith G; Parvathy R; Vikas V; Chandrasekharan K; Nair S Neuroradiol J; 2015 Apr; 28(2):106-11. PubMed ID: 25923676 [TBL] [Abstract][Full Text] [Related]
4. Combination of feature-reduced MR spectroscopic and MR imaging data for improved brain tumor classification. Simonetti AW; Melssen WJ; Szabo de Edelenyi F; van Asten JJ; Heerschap A; Buydens LM NMR Biomed; 2005 Feb; 18(1):34-43. PubMed ID: 15657908 [TBL] [Abstract][Full Text] [Related]
5. A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation. Toth R; Tiwari P; Rosen M; Reed G; Kurhanewicz J; Kalyanpur A; Pungavkar S; Madabhushi A Med Image Anal; 2011 Apr; 15(2):214-25. PubMed ID: 21195016 [TBL] [Abstract][Full Text] [Related]
6. Fast method for brain image segmentation: application to proton magnetic resonance spectroscopic imaging. Bonekamp D; Horská A; Jacobs MA; Arslanoglu A; Barker PB Magn Reson Med; 2005 Nov; 54(5):1268-72. PubMed ID: 16187272 [TBL] [Abstract][Full Text] [Related]
7. Segmentation of tumor and edema along with healthy tissues of brain using wavelets and neural networks. Demirhan A; Toru M; Guler I IEEE J Biomed Health Inform; 2015 Jul; 19(4):1451-8. PubMed ID: 25265636 [TBL] [Abstract][Full Text] [Related]
8. Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization. Bauer S; Nolte LP; Reyes M Med Image Comput Comput Assist Interv; 2011; 14(Pt 3):354-61. PubMed ID: 22003719 [TBL] [Abstract][Full Text] [Related]
9. Quantitative combination of volumetric MR imaging and MR spectroscopy data for the discrimination of meningiomas from metastatic brain tumors by means of pattern recognition. Georgiadis P; Kostopoulos S; Cavouras D; Glotsos D; Kalatzis I; Sifaki K; Malamas M; Solomou E; Nikiforidis G Magn Reson Imaging; 2011 May; 29(4):525-35. PubMed ID: 21315534 [TBL] [Abstract][Full Text] [Related]
10. Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection. Tiwari P; Viswanath S; Kurhanewicz J; Sridhar A; Madabhushi A NMR Biomed; 2012 Apr; 25(4):607-19. PubMed ID: 21960175 [TBL] [Abstract][Full Text] [Related]
11. State of the art survey on MRI brain tumor segmentation. Gordillo N; Montseny E; Sobrevilla P Magn Reson Imaging; 2013 Oct; 31(8):1426-38. PubMed ID: 23790354 [TBL] [Abstract][Full Text] [Related]
12. Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling. Deng M; Yu R; Wang L; Shi F; Yap PT; Shen D; Med Phys; 2016 Dec; 43(12):6588-6597. PubMed ID: 28054724 [TBL] [Abstract][Full Text] [Related]
13. Enhancing the discrimination accuracy between metastases, gliomas and meningiomas on brain MRI by volumetric textural features and ensemble pattern recognition methods. Georgiadis P; Cavouras D; Kalatzis I; Glotsos D; Athanasiadis E; Kostopoulos S; Sifaki K; Malamas M; Nikiforidis G; Solomou E Magn Reson Imaging; 2009 Jan; 27(1):120-30. PubMed ID: 18602785 [TBL] [Abstract][Full Text] [Related]
14. An advanced MRI and MRSI data fusion scheme for enhancing unsupervised brain tumor differentiation. Li Y; Liu X; Wei F; Sima DM; Van Cauter S; Himmelreich U; Pi Y; Hu G; Yao Y; Van Huffel S Comput Biol Med; 2017 Feb; 81():121-129. PubMed ID: 28061367 [TBL] [Abstract][Full Text] [Related]
15. White matter lesion extension to automatic brain tissue segmentation on MRI. de Boer R; Vrooman HA; van der Lijn F; Vernooij MW; Ikram MA; van der Lugt A; Breteler MM; Niessen WJ Neuroimage; 2009 May; 45(4):1151-61. PubMed ID: 19344687 [TBL] [Abstract][Full Text] [Related]
16. Automated atrophy assessment for Alzheimer's disease diagnosis from brain MRI images. Shaikh TA; Ali R Magn Reson Imaging; 2019 Oct; 62():167-173. PubMed ID: 31279772 [TBL] [Abstract][Full Text] [Related]
17. Automated classification of multi-spectral MR images using Linear Discriminant Analysis. Lin GC; Wang WJ; Wang CM; Sun SY Comput Med Imaging Graph; 2010 Jun; 34(4):251-68. PubMed ID: 20044236 [TBL] [Abstract][Full Text] [Related]
18. Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme. Zacharaki EI; Wang S; Chawla S; Soo Yoo D; Wolf R; Melhem ER; Davatzikos C Magn Reson Med; 2009 Dec; 62(6):1609-18. PubMed ID: 19859947 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. A reliable spatially normalized template of the human spinal cord--Applications to automated white matter/gray matter segmentation and tensor-based morphometry (TBM) mapping of gray matter alterations occurring with age. Taso M; Le Troter A; Sdika M; Cohen-Adad J; Arnoux PJ; Guye M; Ranjeva JP; Callot V Neuroimage; 2015 Aug; 117():20-8. PubMed ID: 26003856 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]