-
1
-
-
4444333897
-
A brain tumor segmentation framework based on outlier detection
-
M. Prastawa, E. Bullitt, S. Ho, G. Gerig, "A brain tumor segmentation framework based on outlier detection", Medical Image Analysis 18 (3) (2004) 217-231.
-
(2004)
Medical Image Analysis
, vol.18
, Issue.3
, pp. 217-231
-
-
Prastawa, M.1
Bullitt, E.2
Ho, S.3
Gerig, G.4
-
2
-
-
33750262367
-
Multilevel segmentation and integrated bayesian model classification with an application to brain tumor segmentation
-
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006 - 9th International Conference, Proceedings
-
J.J. Corso, E. Sharon, A. Yuille, "Multilevel segmentation and integrated Bayesian model classification with an application to brain tumor segmentation", in: MICCAI2006, Copenhagen, Denmark, Lecture Notes in Computer Science, Vol. 4191, Springer, Berlin, October 2006, pp. 790-798. (Pubitemid 44609293)
-
(2006)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.4191 LNCS - II
, pp. 790-798
-
-
Corso, J.J.1
Sharon, E.2
Yuille, A.3
-
3
-
-
6344221605
-
Atlas-based segmentation ofpathological MR brain images using a model of lesion growth
-
M.B. Cuadra, C. Pollo, A. Bardera, O. Cuisenaire, J. Villemure, J.-P. Thiran, "Atlas-based segmentation ofpathological MR brain images using a model of lesion growth", IEEE Transactions on Medical Imaging 23 (10) (2004) 1301-1313.
-
(2004)
IEEE Transactions on Medical Imaging
, vol.23
, Issue.10
, pp. 1301-1313
-
-
Cuadra, M.B.1
Pollo, C.2
Bardera, A.3
Cuisenaire, O.4
Villemure, J.5
Thiran, J.-P.6
-
4
-
-
0032153006
-
Image matching as a diffusion process: An analogy with Maxwell's demons
-
J.-P. Thirion, "Image matching as adiffusion process: an analogy with Maxwells demons", Medical Image Analysis 2 (3) (1998) 243-260. (Pubitemid 128499389)
-
(1998)
Medical Image Analysis
, vol.2
, Issue.3
, pp. 243-260
-
-
Thirion, J.-P.1
-
5
-
-
0036127479
-
Estimation oftumor volume with fuzzy-connectedness segmentation of MR Images
-
G. Moonis, J. Liu, J.K. Udupa, D.B. Hackney, "Estimation oftumor volume with fuzzy-connectedness segmentation of MR Images", American Journal of Neuroradiology 23 (2002) 352-363.
-
(2002)
American Journal of Neuroradiology
, vol.23
, pp. 352-363
-
-
Moonis, G.1
Liu, J.2
Udupa, J.K.3
Hackney, D.B.4
-
6
-
-
3142676666
-
Evidential segmentation scheme of multi-echo MR images for the detection of brain tumors using neighborhood information
-
DOI 10.1016/j.inffus.2003.10.001, PII S1566253503000848
-
A.S. Capelle, O. Colot, C. Fernandez-Maloigne, "Evidential segmentation scheme ofmulti-echo MR images for the detection of brain tumors using neighborhood information", Information Fusion 5 (2004) 203-216. (Pubitemid 38930720)
-
(2004)
Information Fusion
, vol.5
, Issue.3
, pp. 203-216
-
-
Capelle, A.-S.1
Colot, O.2
Fernandez-Maloigne, C.3
-
7
-
-
33845339640
-
A framework of fuzzy information fusion for the segmentation of brain tumor tissues on MR images
-
DOI 10.1016/j.imavis.2006.01.025, PII S0262885606000734
-
W. Dou, S. Ruan, Y. Chen, D. Bloyet, J.M. Constans, "A framework offuzzy information fusion for segmentation of brain tumor tissues on MR images", Image and Vision Computing 25 (2007) 164-171. (Pubitemid 44873142)
-
(2007)
Image and Vision Computing
, vol.25
, Issue.2
, pp. 164-171
-
-
Dou, W.1
Ruan, S.2
Chen, Y.3
Bloyet, D.4
Constans, J.-M.5
-
8
-
-
33847273732
-
A. Bistritz, Segmenting brain tumors using alignment-based features
-
M. Schmidt, I. Levner, R. Greiner, A. Murtha, "A. Bistritz, Segmenting brain tumors using alignment-based features", in: IEEE Internat. Conf. on Machine learning and Applications, (2005), pp. 215-220.
-
(2005)
IEEE Internat. Conf. on Machine Learning and Applications
, pp. 215-220
-
-
Schmidt, M.1
Levner, I.2
Greiner, R.3
Murtha, A.4
-
9
-
-
33846900250
-
Extraction of brain tumor fromMR images using one-class support vector Machine
-
J. Zhou, K.L. Chan, V.F.H Chong, S.M. Krishnan, "Extraction of brain tumor fromMR images using one-class support vector Machine", in: IEEE Conf. on Engineering in Medicine and Biology, (2005), pp. 6411-6414.
-
(2005)
IEEE Conf. on Engineering in Medicine and Biology
, pp. 6411-6414
-
-
Zhou, J.1
Chan, K.L.2
Chong, V.F.H.3
Krishnan, S.M.4
-
10
-
-
33644952194
-
-
Technical Report, University of Utah, April
-
A. Lefohn, J. Cates, R. Whitaker, Interactive, "GPU-based level sets for 3D brain tumor segmentation", Technical Report, University of Utah, April (2003).
-
(2003)
Interactive, "GPU-based Level Sets for 3D Brain Tumor Segmentation"
-
-
Lefohn, A.1
Cates, J.2
Whitaker, R.3
-
11
-
-
0031060807
-
Computerized tumor boundary detection using a hopfield neural network
-
PII S0278006297009786
-
Y. Zhu, H. Yang, "Computerized tumor boundary detection using a Hopfield neural network", IEEE Transactions on Medical Imaging 16 (1) (1997) 55-67. (Pubitemid 127762917)
-
(1997)
IEEE Transactions on Medical Imaging
, vol.16
, Issue.1
, pp. 55-67
-
-
Zhu, Y.1
Yan, H.2
-
12
-
-
33751563521
-
Level set evolution with region competition: Automatic 3D segmentation of brain tumors
-
S. Ho, E. Bullitt, G. Gerig, "Level set evolution with region competition: automatic 3D segmentation of brain tumors", in: ICPR, Quebec, August (2002), pp. 532-535.
-
(2002)
ICPR, Quebec, August
, pp. 532-535
-
-
Ho, S.1
Bullitt, E.2
Gerig, G.3
-
13
-
-
24944475665
-
Semi-automated brain tumor and edema segmentation using MRI
-
DOI 10.1016/j.ejrad.2005.03.028, PII S0720048X05001518
-
K. Xie, J. Yang, Z.G. Zhang, Y.M. Zhu, "Semi-automated brain tumor and edema segmentation using MRI", European Journal of Radiology 56 (2005) 12-19. (Pubitemid 41316480)
-
(2005)
European Journal of Radiology
, vol.56
, Issue.1
, pp. 12-19
-
-
Xie, K.1
Yang, J.2
Zhang, Z.G.3
Zhu, Y.M.4
-
14
-
-
78650432431
-
Segmentation of Brain MRI Image with GVF Snake Model
-
Wang Guoqiang, Wang Dongxue, "Segmentation of Brain MRI Image with GVF Snake Model",in: 2010 First International Conference on Pervasive Computing, Signal Processing and Applications,2010, pp.711-714.
-
(2010)
First International Conference on Pervasive Computing, Signal Processing and Applications,2010
, pp. 711-714
-
-
Guoqiang, W.1
Dongxue, W.2
-
15
-
-
26844532803
-
A possibilistic fuzzy c-means clustering algorithm
-
DOI 10.1109/TFUZZ.2004.840099
-
Pal, N. R., Pal, K., Keller, J. M., and Bezdek, J. C, "A possibilistic fuzzy c-means clustering algorithm", IEEE Transactions on Fuzzy Systems, (2005), 13(4), pp.517-530. (Pubitemid 41461446)
-
(2005)
IEEE Transactions on Fuzzy Systems
, vol.13
, Issue.4
, pp. 517-530
-
-
Pal, N.R.1
Pal, K.2
Keller, J.M.3
Bezdek, J.C.4
-
17
-
-
34250862035
-
A modified fuzzy C-means image segmentation algorithm for use with uneven illumination patterns
-
DOI 10.1016/j.patcog.2007.02.005, PII S0031320307000908
-
Ma, L. and Staunton, R. C., "A modified fuzzy c-means image segmentation algorithm for use with uneven illumination Patterns", Pattern Recognition, (2007), 40(11), pp.3005-3011. (Pubitemid 46990425)
-
(2007)
Pattern Recognition
, vol.40
, Issue.11
, pp. 3005-3011
-
-
Ma, L.1
Staunton, R.C.2
-
18
-
-
0032028944
-
Snakes, shapes, and gradient vector flow
-
PII S105771499801745X
-
C. Xu and J.L. Prince, "Snakes, shapes, and gradient vector flow", IEEE Trans. on Image Processing, vol. 7,March 1998, pp. 359-369. (Pubitemid 128745354)
-
(1998)
IEEE Transactions on Image Processing
, vol.7
, Issue.3
, pp. 359-369
-
-
Xu, C.1
Prince, J.L.2
-
19
-
-
71949126505
-
Medical Image Segmentation Based on GVF Snake Model
-
IEEE Press, Oct.
-
Bingrong Wu, Me Xie, Guo Li, Jingjing Gao, "Medical Image Segmentation Based on GVF Snake Model", IEEE Conference on Second International Intelligent Computation Technology and Automation (ICICTA 09), IEEE Press, vol. 1, Oct. (2009), pp. 637 - 640.
-
(2009)
IEEE Conference on Second International Intelligent Computation Technology and Automation (ICICTA 09)
, vol.1
, pp. 637-640
-
-
Wu, B.1
Xie, M.2
Li, G.3
Gao, J.4
-
20
-
-
0028724624
-
Morphometric analysis ofwhite matter lesions in MR images: Method and validation
-
Zijdenbos, A. P., Dawant, B. M., Margolin, R. A., and Palmer, A. C., "Morphometric analysis ofwhite matter lesions in MR images: Method and validation", IEEE Transactions on Medical Imaging. (1994);13(4):716-724.
-
(1994)
IEEE Transactions on Medical Imaging
, vol.13
, Issue.4
, pp. 716-724
-
-
Zijdenbos, A.P.1
Dawant, B.M.2
Margolin, R.A.3
Palmer, A.C.4
|