-
1
-
-
84877941538
-
-
University of Utah, School of Computing Technical Report UUCS-03-004, April 16
-
K. Aaron Lefohn, J. Cates, and, R. Whitaker, Interactive GPU-based level sets for 3D brain tumor segmentation, University of Utah, School of Computing Technical Report UUCS-03-004, April 16, 2003.
-
(2003)
Interactive GPU-based Level Sets for 3D Brain Tumor Segmentation
-
-
Aaron Lefohn, K.1
Cates, J.2
Whitaker, R.3
-
2
-
-
0025225150
-
Competitive learning algorithms for Vector quantization
-
S.C. Ahalt, A.K. Krishnamurthy, P. Chen, and, D.E. Melton, Competitive learning algorithms for Vector quantization. Neural Netw 3 (1990), 277-290.
-
(1990)
Neural Netw
, vol.3
, pp. 277-290
-
-
Ahalt, S.C.1
Krishnamurthy, A.K.2
Chen, P.3
Melton, D.E.4
-
3
-
-
79959576791
-
A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI
-
J. Chunming Li, R. Huang, Z. Ding, and, J. Chris Gatenby, A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI. IEEE Trans Image Process 20 (2011), 2007-2016.
-
(2011)
IEEE Trans Image Process
, vol.20
, pp. 2007-2016
-
-
Chunming Li, J.1
Huang, R.2
Ding, Z.3
Chris Gatenby, J.4
-
4
-
-
84877941515
-
-
A. Fitsum Admasu, A. Stephan Al-zubi, A. Klaus Toennies, B. Nils Bodammer., In Proceedings of International Conference on Image Processing, Barcelona, Spain
-
A. Fitsum Admasu, A. Stephan Al-zubi, A. Klaus Toennies, B. Nils Bodammer. Segmentation of multiple sclerosis lesions from mr brain images using the principles of fuzzy-connectedness and artificial neuron networks, In Proceedings of International Conference on Image Processing, Barcelona, Spain, Vol. 3, 2003.
-
(2003)
Segmentation of Multiple Sclerosis Lesions from Mr Brain Images Using the Principles of Fuzzy-connectedness and Artificial Neuron Networks
, vol.3
-
-
-
5
-
-
0018729995
-
A survey on image segmentation
-
K.S. Fu, and, J.K. Mui, A survey on image segmentation. Pattern Recognit 13 (1981), 3-16.
-
(1981)
Pattern Recognit
, vol.13
, pp. 3-16
-
-
Fu, K.S.1
Mui, J.K.2
-
6
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
I. Guyon, J. Weston, S. Barnhill, and, Vapnik V, Gene selection for cancer classification using support vector machines. Mach Learn 46 (2002), 389-422.
-
(2002)
Mach Learn
, vol.46
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
7
-
-
0026122127
-
A class of fast gaussian binomial filters for speech and image processing
-
R.A. Haddad, and, A.N. Akansu, A class of fast gaussian binomial filters for speech and image processing. IEEE Trans Acoust Speech Signal Process 39 (1991), 723-727.
-
(1991)
IEEE Trans Acoust Speech Signal Process
, vol.39
, pp. 723-727
-
-
Haddad, R.A.1
Akansu, A.N.2
-
8
-
-
84878001569
-
-
MBL Physiology Course
-
T.H. Hao, Y. Kueh, S.A. Eugenio Marco, M. Springer, and, S.S. krishnan, Image analysis for biology, MBL Physiology Course, 2008.
-
(2008)
Image Analysis for Biology
-
-
Hao, T.H.1
Kueh, Y.2
Eugenio Marco, S.A.3
Springer, M.4
Krishnan, S.S.5
-
9
-
-
70449523073
-
Tumor detection by using Zernike moments on segmented magnetic resonance brain images
-
Z. Iscan, Z. Dokur, and, T. Olmez, Tumor detection by using Zernike moments on segmented magnetic resonance brain images. Exp Syst Appl 37 (2010), 2540-2549.
-
(2010)
Exp Syst Appl
, vol.37
, pp. 2540-2549
-
-
Iscan, Z.1
Dokur, Z.2
Olmez, T.3
-
11
-
-
0030218261
-
Segmentation of multispectral magnetic resonance image using penalized fuzzy competitive learning network
-
Jzau-Sheng, T. Lin, K.-S. Cheng, and, C.-W. Mao, Segmentation of multispectral magnetic resonance image using penalized fuzzy competitive learning network. Comput Biomed Res 29 (1996), 314-326.
-
(1996)
Comput Biomed Res
, vol.29
, pp. 314-326
-
-
Jzau-Sheng1
Lin, T.2
Cheng, K.-S.3
Mao, C.-W.4
-
12
-
-
24944586818
-
Network-based intrusion detection with support vector machines
-
D. Kim, and, J. Park, Network-based intrusion detection with support vector machines. Lect Notes Comput Sci 2662 (2003), 747-756.
-
(2003)
Lect Notes Comput Sci
, vol.2662
, pp. 747-756
-
-
Kim, D.1
Park, J.2
-
13
-
-
0027658896
-
A review on image segmentation techniques
-
N.R. Pal, and, S.K. Pal, A review on image segmentation techniques. Pattern Recognit 26 (1993), 1277-1294.
-
(1993)
Pattern Recognit
, vol.26
, pp. 1277-1294
-
-
Pal, N.R.1
Pal, S.K.2
-
14
-
-
79954609957
-
-
In
-
C.A Parra, K. Iftekharuddin, and, R. Kozma, In Automated Brain Tumor segmentation and pattern recognition using ANN, Computational Intelligence Robotics and Autonomous Systems, 2003.
-
(2003)
Automated Brain Tumor Segmentation and Pattern Recognition Using ANN, Computational Intelligence Robotics and Autonomous Systems
-
-
Parra, C.A.1
Iftekharuddin, K.2
Kozma, R.3
-
15
-
-
80053613831
-
Application of fuzzy neural network for image tumor description
-
K. Nahla Ibraheem, N. Jabbar, and, M. Mehrotra, Application of fuzzy neural network for image tumor description. World Acad Sci Eng Technol 44 (2008), 575-577.
-
(2008)
World Acad Sci Eng Technol
, vol.44
, pp. 575-577
-
-
Nahla Ibraheem, K.1
Jabbar, N.2
Mehrotra, M.3
-
16
-
-
0031140630
-
A methodology for constructing fuzzy algorithms for learning vector quantization
-
H. Nicolaos, and, B. Karayiannis, A methodology for constructing fuzzy algorithms for learning vector quantization. IEEE Trans Neural Netw 8 (1997), 505-518.
-
(1997)
IEEE Trans Neural Netw
, vol.8
, pp. 505-518
-
-
Nicolaos, H.1
Karayiannis, B.2
-
17
-
-
25844489923
-
MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization
-
S. Shan Shen, H.K. William Sandham, M. Granat, and, A. Sterr, MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization. IEEE Trans Inform Technol Biomed 9 (2005).
-
(2005)
IEEE Trans Inform Technol Biomed
, pp. 9
-
-
Shan Shen, S.1
William Sandham, H.K.2
Granat, M.3
Sterr, A.4
-
18
-
-
84859985663
-
MS lesion segmentation using markov random fields
-
In, London, UK, September
-
N.K. Subbanna, M. Shah, S.J. Francis, S. Narayanan, D.L. Collins, D.L. Arnold, and, T. Arbel, MS lesion segmentation using markov random fields, In Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention, London, UK, September 2009
-
(2009)
Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention
-
-
Subbanna, N.K.1
Shah, M.2
Francis, S.J.3
Narayanan, S.4
Collins, D.L.5
Arnold, D.L.6
Arbel, T.7
-
19
-
-
0003969585
-
-
Springer-Verlag, Secaucus, NJ, USA, New York
-
V.N. Vapnik, Estimation of dependences based on empirical data, Springer-Verlag, Secaucus, NJ, USA, New York, 1982.
-
(1982)
Estimation of Dependences Based on Empirical Data
-
-
Vapnik, V.N.1
-
20
-
-
0026235175
-
Filtering noise from images with wavelet transforms
-
J.B. Weaver, X. Yansun, D. Healy, and, L.D. Cromwell, Filtering noise from images with wavelet transforms. Magn Reson Med 21 (1991), 288-295.
-
(1991)
Magn Reson Med
, vol.21
, pp. 288-295
-
-
Weaver, J.B.1
Yansun, X.2
Healy, D.3
Cromwell, L.D.4
-
21
-
-
0030215026
-
Adaptive segmentation of MRI data
-
W. Wells, W. Grimson, R. Kikinis, and, F.A. Jolesz, Adaptive segmentation of MRI data. IEEE Trans Med Imaging 15 (1992), 429-442.
-
(1992)
IEEE Trans Med Imaging
, vol.15
, pp. 429-442
-
-
Wells, W.1
Grimson, W.2
Kikinis, R.3
Jolesz, F.A.4
-
22
-
-
0036826508
-
Automatic pipeline analysis of 3D MRI data for clinical trials: Application to multiple sclerosis
-
A. Zijdenbos, R. Forghani, and, A. Evans, Automatic pipeline analysis of 3D MRI data for clinical trials: application to multiple sclerosis. IEEE Trans Med Imaging 21 (2002), 1280-1291.
-
(2002)
IEEE Trans Med Imaging
, vol.21
, pp. 1280-1291
-
-
Zijdenbos, A.1
Forghani, R.2
Evans, A.3
-
23
-
-
70449445893
-
Application of support vector machines on network abnormal intrusion detection
-
K. Zhang, H.X. Cao, and, H. Yan, Application of support vector machines on network abnormal intrusion detection. Appl Res Comput 5 (2006), 98-100.
-
(2006)
Appl Res Comput
, vol.5
, pp. 98-100
-
-
Zhang, K.1
Cao, H.X.2
Yan, H.3
-
24
-
-
84863085276
-
Sensitivity, specificity, accuracy, associated confidence interval and ROC analysis with practical SAS implementations
-
In, Baltimore, Maryland, pages
-
Wen Zhu, N. Zeng, and, N. Wang, Sensitivity, specificity, accuracy, associated confidence interval and ROC analysis with practical SAS implementations, In Proceedings of the SAS Conference, Baltimore, Maryland, pages: 9, 2010.
-
(2010)
Proceedings of the SAS Conference
, pp. 9
-
-
Zhu, W.1
Zeng, N.2
Wang, N.3
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