-
2
-
-
0036530363
-
An adaptive neuro fuzzy system for automatic image segmentation and edge detection
-
Boskovitz V, Guterman H (2002). An adaptive neuro fuzzy system for automatic image segmentation and edge detection, IEEE Trans. Fuz. Sys., 10(2): 247-262.
-
(2002)
IEEE Trans. Fuz. Sys.
, vol.10
, Issue.2
, pp. 247-262
-
-
Boskovitz, V.1
Guterman, H.2
-
3
-
-
33845602456
-
Fast Discrete Curvelet Transforms
-
Candes E, Demanet L, Donoho D, Ying L (2006). Fast Discrete Curvelet Transforms, SIAM Multiscale Model, Simulation.
-
(2006)
SIAM Multiscale Model, Simulation
-
-
Candes, E.1
Demanet, L.2
Donoho, D.3
Ying, L.4
-
4
-
-
77956135872
-
Region Based Hidden Markov Random Field Model for Brain MR Image Segmentation
-
Chen T, Huang TS (2005). Region Based Hidden Markov Random Field Model for Brain MR Image Segmentation, World Acad. Sci. Eng. Tech., pp. 233-236.
-
(2005)
World Acad. Sci. Eng. Tech.
, pp. 233-236
-
-
Chen, T.1
Huang, T.S.2
-
5
-
-
0142260969
-
A Fully Automatic and Robust Brain MRI Tissue Classification Method
-
Chris A, Cocosco, Alex P, Zijdenbos, Alan CE (2003). A Fully Automatic and Robust Brain MRI Tissue Classification Method, Med. Imag Anal., 7(4):513-527.
-
(2003)
Med. Imag Anal.
, vol.7
, Issue.4
, pp. 513-527
-
-
Chris, A.1
Cocosco2
Alex, P.3
Zijdenbos4
Alan, C.E.5
-
6
-
-
31544461548
-
Fuzzy c-means clustering with spatial information for image segmentation
-
Chuang H, Tzeng S, Chen JW, Chen T (2006). Fuzzy c-means clustering with spatial information for image segmentation, Comp. Med. Imag. Grap., 30(1): 9-15
-
(2006)
Comp. Med. Imag. Grap.
, vol.30
, Issue.1
, pp. 9-15
-
-
Chuang, H.1
Tzeng, S.2
Chen, J.W.3
Chen, T.4
-
7
-
-
34250319366
-
Wavelet-based de-noising algorithm for images acquired with parallel magnetic resonance imaging (MRI) Phys
-
Delakis I, Hammad O, Kitney RI (2007). Wavelet-based de-noising algorithm for images acquired with parallel magnetic resonance imaging (MRI) Phys. Med. Biol. 52: 3741-3751.
-
(2007)
Med. Biol
, vol.52
, pp. 3741-3751
-
-
Delakis, I.1
Hammad, O.2
Kitney, R.I.3
-
8
-
-
78449249842
-
Segmentation of Brain Images Using Fuzzy Clustering Method with Silhouutte Method
-
Ganesan TB, Sukanesh R (2008). Segmentation of Brain Images Using Fuzzy Clustering Method with Silhouutte Method, J. Eng. App. Sci. Medwell J., pp. 792-795.
-
(2008)
J. Eng. App. Sci. Medwell J.
, pp. 792-795
-
-
Ganesan, T.B.1
Sukanesh, R.2
-
9
-
-
0031150141
-
Estimating the bias field of MR images
-
Guillemaud R, Brady JM (1997). Estimating the bias field of MR images, IEEE Trans. Med. Imag., 16(3): 238-251.
-
(1997)
IEEE Trans. Med. Imag.
, vol.16
, Issue.3
, pp. 238-251
-
-
Guillemaud, R.1
Brady, J.M.2
-
10
-
-
0031283422
-
Markov Random Field Segmentation of Brain MR Images, IEEE Trans
-
Held K, Kops ER, Krause JB, Wells WM, Kikinis R, Müller-Gärtner H (1997). Markov Random Field Segmentation of Brain MR Images, IEEE Trans. Med. Imag., 16: 878-886.
-
(1997)
Med. Imag.
, vol.16
, pp. 878-886
-
-
Held, K.1
Kops, E.R.2
Krause, J.B.3
Wells, W.M.4
Kikinis, R.5
Müller-Gärtner, H.6
-
11
-
-
84861657351
-
-
MICCAI 2009, LNCS 5762
-
Huang A, Abugharbieh R, Tam R (2009). A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI, MICCAI 2009, LNCS 5762, pp. 474-481.
-
(2009)
A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI
, pp. 474-481
-
-
Huang, A.1
Abugharbieh, R.2
Tam, R.3
-
12
-
-
77953915351
-
Fuzzy entropy based optimization of clusters for the segmentation of lungs in CT scanned images
-
Jaffar MA, Hussain A, Mirza AM (2010). Fuzzy entropy based optimization of clusters for the segmentation of lungs in CT scanned images, Know Inf. Sys., 24(1): 91-111.
-
(2010)
Know Inf. Sys.
, vol.24
, Issue.1
, pp. 91-111
-
-
Jaffar, M.A.1
Hussain, A.2
Mirza, A.M.3
-
13
-
-
33646709406
-
-
LNCS, Publisher Springer Berlin Heidelberg
-
Lee C-H, Schmidt M, Murtha A, Bistritz A, Sander JO, Greiner R (2005). Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines, LNCS, Publisher Springer Berlin Heidelberg, 18: 469-478.
-
(2005)
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
, vol.18
, pp. 469-478
-
-
Lee, C.-H.1
Schmidt, M.2
Murtha, A.3
Bistritz, A.4
Sander, J.O.5
Greiner, R.6
-
14
-
-
0033614941
-
Statistical limitations in functional neuroimaging
-
Petersson KM, Nichols TE, Poline JB, Holmes AP (1999). Statistical limitations in functional neuroimaging, Non-inferential methods and statistical models Philosophical Transactions of the Royal Society B-Biological Sciences. 354: 1239-1260.
-
(1999)
Non-inferential methods and statistical models Philosophical Transactions of the Royal Society B-Biological Sciences
, vol.354
, pp. 1239-1260
-
-
Petersson, K.M.1
Nichols, T.E.2
Poline, J.B.3
Holmes, A.P.4
-
15
-
-
1542346904
-
Maximum likelihood estimation of signal amplitude and noise variance from MR data
-
Sijbers J, den Dekker AJ (2004). Maximum likelihood estimation of signal amplitude and noise variance from MR data. Magn Reson Med., 51(3): 94-586.
-
(2004)
Magn Reson Med.
, vol.51
, Issue.3
, pp. 94-586
-
-
Sijbers, J.1
den Dekker, A.J.2
-
16
-
-
0030213893
-
Know1edge-Based Interpretation of MR Brain Images
-
Sonka M, Tadikonda SK, Collins SK (1996). Know1edge-Based Interpretation of MR Brain Images, IEEE Trans. Med. Imag., 4(15): 43-452.
-
(1996)
IEEE Trans. Med. Imag.
, vol.4
, Issue.15
, pp. 43-452
-
-
Sonka, M.1
Tadikonda, S.K.2
Collins, S.K.3
|