-
1
-
-
0033640668
-
Medical image analysis: Progress over two decades and the challenges ahead
-
Jan.
-
J. S. Duncan and N. Ayache, “Medical image analysis: Progress over two decades and the challenges ahead,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 1, pp. 85–106, Jan. 2000.
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.22
, Issue.1
, pp. 85-106
-
-
Duncan, J.S.1
Ayache, N.2
-
2
-
-
0036826508
-
Automatic pipeline analysis of 3D MRI data for clinical trials: Application to MS
-
Oct.
-
A. P. Zijdenbos, R. Forghani, and A. C. Evans, “Automatic pipeline analysis of 3D MRI data for clinical trials: Application to MS,” IEEE Trans. Med. Imag., vol. 21, no. 10, pp. 1280–1291, Oct. 2002.
-
(2002)
IEEE Trans. Med. Imag.
, vol.21
, Issue.10
, pp. 1280-1291
-
-
Zijdenbos, A.P.1
Forghani, R.2
Evans, A.C.3
-
3
-
-
0000824999
-
Utilizing segmented MRI data in image guided surgery
-
W. E. L. Grimson, G. J. Ettinger, T. Kapur, M. E. Leventon, W. M. Wells, and R. Kikinis “Utilizing segmented MRI data in image guided surgery,” Int. J. Pattern Recognit. Artif. Intell., vol. 11, no. 8, pp. 1367–1397, 1997.
-
(1997)
Int. J. Pattern Recognit. Artif. Intell.
, vol.11
, Issue.8
, pp. 1367-1397
-
-
Grimson, W.E.L.1
Ettinger, G.J.2
Kapur, T.3
Leventon, M.E.4
Wells, W.M.5
Kikinis, R.6
-
4
-
-
85008003368
-
Brain MRI lesion load quantification in multiple sclerosis: A comparison between automated multispectral and semi-automated thresholding computer-assisted techniques
-
A. Achiron, S. Gicquel, S. Miron, and M. Faibel, “Brain MRI lesion load quantification in multiple sclerosis: A comparison between automated multispectral and semi-automated thresholding computer-assisted techniques,” Magn. Reson. Imag., vol. 177, pp. 85–106, 2001.
-
(2001)
Magn. Reson. Imag.
, vol.177
, pp. 85-106
-
-
Achiron, A.1
Gicquel, S.2
Miron, S.3
Faibel, M.4
-
5
-
-
0029377853
-
Model-based 3-D segmentation of multiple sclerosis lesions in MR brain images
-
Sep.
-
M. Kamber, R. Shinghal, D. L. Collins, G. S. Francis, and A. C. Evans “Model-based 3-D segmentation of multiple sclerosis lesions in MR brain images,” IEEE Trans. Med. Imag., vol. 14, no. 3, pp. 442–453, Sep. 1995.
-
(1995)
IEEE Trans. Med. Imag.
, vol.14
, Issue.3
, pp. 442-453
-
-
Kamber, M.1
Shinghal, R.2
Collins, D.L.3
Francis, G.S.4
Evans, A.C.5
-
6
-
-
0031240180
-
Multiple sclerosis lesion quantification using fuzzy-connectedness principles
-
Oct.
-
J. K. Udupa, L. Wei, S. Samarasekera, Y. Miki, M. van Buchem, and R. I. Grossman “Multiple sclerosis lesion quantification using fuzzy-connectedness principles,” IEEE Trans. Med. Imag., vol. 16, no. 5, pp. 598–609, Oct. 1997.
-
(1997)
IEEE Trans. Med. Imag.
, vol.16
, Issue.5
, pp. 598-609
-
-
Udupa, J.K.1
Wei, L.2
Samarasekera, S.3
Miki, Y.4
van Buchem, M.5
Grossman, R.I.6
-
7
-
-
0031973909
-
The role of magnetic resonance techniques in understanding and managing multiple sclerosis
-
D. H. Miller and R. I. Grossman, “The role of magnetic resonance techniques in understanding and managing multiple sclerosis,” Brain, vol. 121, pp. 3–24, 1998.
-
(1998)
Brain
, vol.121
, pp. 3-24
-
-
Miller, D.H.1
Grossman, R.I.2
-
8
-
-
84907036640
-
Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions
-
S. K. Warfield, K. H. Zou, and W. M. Wells “Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions,” J. Image Guided Surg., vol. 1, no. 6, pp. 326–338, 1995.
-
(1995)
J. Image Guided Surg.
, vol.1
, Issue.6
, pp. 326-338
-
-
Warfield, S.K.1
Zou, K.H.2
Wells, W.M.3
-
9
-
-
0036153999
-
Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy
-
X. Wei, S. K. Warfield, K. H. Zou, Y. Wu, X. Li, A. Guimond, J. P. Mugler, R. R. Benson, L. Wolfson, H. L. Weiner, and C. R. Guttmann, “Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy,” J. Magn. Reson. Imag., vol. 15, pp. 203–209, 2002.
-
(2002)
J. Magn. Reson. Imag.
, vol.15
, pp. 203-209
-
-
Wei, X.1
Warfield, S.K.2
Zou, K.H.3
Wu, Y.4
Li, X.5
Guimond, A.6
Mugler, J.P.7
Benson, R.R.8
Wolfson, L.9
Weiner, H.L.10
Guttmann, C.R.11
-
10
-
-
0030215026
-
Adaptive segmentation of MRI data
-
Aug.
-
W. M. Wells, W. E. L. Grimson, R. Kikinis, and F. A. Jolesz “Adaptive segmentation of MRI data,” IEEE Trans. Med. Imag., vol. 15, no. 4, pp. 429–442, Aug. 1996.
-
(1996)
IEEE Trans. Med. Imag.
, vol.15
, Issue.4
, pp. 429-442
-
-
Wells, W.M.1
Grimson, W.E.L.2
Kikinis, R.3
Jolesz, F.A.4
-
11
-
-
0035413307
-
Automated segmentation of multiple sclerosis by model outlier detection
-
Aug.
-
K. Van-Leemput, F. Maes, D. Vandermeulen, A. Colcher, and P. Suetens, “Automated segmentation of multiple sclerosis by model outlier detection,” IEEE Trans. Med. Imag., vol. 20, no. 8, pp. 677–688, Aug. 2001.
-
(2001)
IEEE Trans. Med. Imag.
, vol.20
, Issue.8
, pp. 677-688
-
-
Van-Leemput, K.1
Maes, F.2
Vandermeulen, D.3
Colcher, A.4
Suetens, P.5
-
12
-
-
17144393726
-
A probabilistic framework for the detection and tracking in time of multiple sclerosis lesions
-
A. Shahar and H. Greenspan, “A probabilistic framework for the detection and tracking in time of multiple sclerosis lesions,” in Proc. IEEE Int. Symp. Biomed. Imag., 2004, pp. 440–443.
-
(2004)
Proc. IEEE Int. Symp. Biomed. Imag.
, pp. 440-443
-
-
Shahar, A.1
Greenspan, H.2
-
13
-
-
33748062327
-
Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI
-
Y. Wu, S. K. Warfield, I. Tan, W. M. Wells, D. S. Meier, R. van Schijndel, F. Barkhof, and C. R. Guttmann, “Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI,” NeuroImage, vol. 32, no. 3, pp. 1205–1215, 2006.
-
(2006)
NeuroImage
, vol.32
, Issue.3
, pp. 1205-1215
-
-
Wu, Y.1
Warfield, S.K.2
Tan, I.3
Wells, W.M.4
Meier, D.S.5
van Schijndel, R.6
Barkhof, F.7
Guttmann, C.R.8
-
14
-
-
33747472134
-
Hierarchy and adaptivity in segmenting visual scenes
-
E. Sharon, M. Galun, D. Sharon, R. Basri, and A. Brandt, “Hierarchy and adaptivity in segmenting visual scenes,” Nature, vol. 442, no. 7104, pp. 810–813, 2006.
-
(2006)
Nature
, vol.442
, Issue.7104
, pp. 810-813
-
-
Sharon, E.1
Galun, M.2
Sharon, D.3
Basri, R.4
Brandt, A.5
-
15
-
-
0344982828
-
Texture segmentation by multiscale aggregation of filter responses and shape elements
-
M. Galun, E. Sharon, R. Basri, and A. Brandt, “Texture segmentation by multiscale aggregation of filter responses and shape elements,” in Proc. IEEE Int. Conf. Comput. Vis., 2003, pp. 716–723.
-
(2003)
Proc. IEEE Int. Conf. Comput. Vis.
, pp. 716-723
-
-
Galun, M.1
Sharon, E.2
Basri, R.3
Brandt, A.4
-
16
-
-
0033991949
-
Assessment of posterior fossa damage in MS using MRI
-
T. A. Yousry, R. I. Grossmanb, and M. Filippi, “Assessment of posterior fossa damage in MS using MRI,” J. Neurol. Sci., vol. 172, pp. 50–53, 2000.
-
(2000)
J. Neurol. Sci.
, vol.172
, pp. 50-53
-
-
Yousry, T.A.1
Grossmanb, R.I.2
Filippi, M.3
-
17
-
-
0034244751
-
Normalized cuts and image segmentation
-
Aug.
-
J. Shi and J. Malik, “Normalized cuts and image segmentation,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 888–905, Aug. 2000.
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.22
, Issue.8
, pp. 888-905
-
-
Shi, J.1
Malik, J.2
-
18
-
-
84904079886
-
-
New York: Academic
-
R. S. J. Frackowiak, K. J. Friston, C. Frith, R. Dolan, C. Price, S. Zeki, J. Ashburner, and W. D. Penny, Human Brain Function. New York: Academic, 2003.
-
(2003)
Human Brain Function
-
-
Frackowiak, R.S.J.1
Friston, K.J.2
Frith, C.3
Dolan, R.4
Price, C.5
Zeki, S.6
Ashburner, J.7
Penny, W.D.8
-
19
-
-
0029043654
-
A probabilistic atlas of the human brain: Theory and rationale
-
J. C. Mazziotta, A. W. Toga, A. C. Evans, P. Fox, and J. Lancaster “A probabilistic atlas of the human brain: Theory and rationale,” NeuroImage, vol. 2, pp. 89–101, 1995.
-
(1995)
NeuroImage
, vol.2
, pp. 89-101
-
-
Mazziotta, J.C.1
Toga, A.W.2
Evans, A.C.3
Fox, P.4
Lancaster, J.5
-
20
-
-
0003802343
-
-
Belmont, CA: Wadsworth
-
L. Breiman, J. H. Olshen, and C. J. Stone, Eds., Classification and Regression Trees. Belmont, CA: Wadsworth, 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Olshen, J.H.2
Stone, C.J.3
-
21
-
-
0030211964
-
Bagging predictors
-
L. Breiman “Bagging predictors,” Mach. Learn., vol. 24, no. 2, pp. 123–140, 1996.
-
(1996)
Mach. Learn.
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
23
-
-
0028903345
-
MRI segmentation: Methods and applications
-
L. P. Clarke, R. P. Velthuizen, M. A. Camacho, J. J. Heine, M. Vaidyanathan, L. O. Hall, R. W. Thatcher, and M. L. Silbiger “MRI segmentation: Methods and applications,” Magn. Reson. Imag., vol. 13, no. 3, pp. 343–368, 1995.
-
(1995)
Magn. Reson. Imag.
, vol.13
, Issue.3
, pp. 343-368
-
-
Clarke, L.P.1
Velthuizen, R.P.2
Camacho, M.A.3
Heine, J.J.4
Vaidyanathan, M.5
Hall, L.O.6
Thatcher, R.W.7
Silbiger, M.L.8
-
24
-
-
0041326772
-
3D analysis of the geometry of individual ms lesion detection of shape changes over time using spherical harmonics
-
D. Goldberg-Zimring, A. Achiron, C. R. Guttmann, and H. Azhari, “3D analysis of the geometry of individual ms lesion detection of shape changes over time using spherical harmonics,” J. Magn. Reson. Imag., vol. 18, pp. 291–301, 2003.
-
(2003)
J. Magn. Reson. Imag.
, vol.18
, pp. 291-301
-
-
Goldberg-Zimring, D.1
Achiron, A.2
Guttmann, C.R.3
Azhari, H.4
-
25
-
-
7044284797
-
Expert knowledge guided segmentation system for brain MRI
-
A. Pitiot, H. Delingette, P. M. Thompson, and N. Ayache, “Expert knowledge guided segmentation system for brain MRI,” NeuroImage, vol. 23, no. 1, pp. S85–S96, 2004.
-
(2004)
NeuroImage
, vol.23
, Issue.1
, pp. S85-S96
-
-
Pitiot, A.1
Delingette, H.2
Thompson, P.M.3
Ayache, N.4
-
26
-
-
0032962382
-
Quantitive follow-up of patients with multiple-sclerosis using MRI: Reproducibility
-
C. R. Guttmann, R. Kikinis, M. C. Anderson, M. Jakab, S. K. Warfield, R. J. Kiliany, H. L. Weiner, and F. A. Jolesz “Quantitive follow-up of patients with multiple-sclerosis using MRI: Reproducibility,” J. Magn. Reson. Imag., vol. 9, pp. 509–518, 1999.
-
(1999)
J. Magn. Reson. Imag.
, vol.9
, pp. 509-518
-
-
Guttmann, C.R.1
Kikinis, R.2
Anderson, M.C.3
Jakab, M.4
Warfield, S.K.5
Kiliany, R.J.6
Weiner, H.L.7
Jolesz, F.A.8
-
27
-
-
0345255005
-
Dirty-appearing white matter in multiple sclerosis: Volumetric MRI and magnetization transfer ratio histogram analysis
-
Y. Ge, R. I. Grossman, J. S. Babb, J. He, and L. J. Mannon, “Dirty-appearing white matter in multiple sclerosis: Volumetric MRI and magnetization transfer ratio histogram analysis,” AJNR Amer. J. Neuroradiol., vol. 24, no. 10, pp. 1935–1940, 2003.
-
(2003)
AJNR Amer. J. Neuroradiol.
, vol.24
, Issue.10
, pp. 1935-1940
-
-
Ge, Y.1
Grossman, R.I.2
Babb, J.S.3
He, J.4
Mannon, L.J.5
-
28
-
-
79551687036
-
Atlas guided identification of brain structures by combining 3D segmentation and SVM
-
A. Akselrod-Ballin, M. Galun, J. M. Gomori, R. Basri, and A. Brandt, “Atlas guided identification of brain structures by combining 3D segmentation and SVM,” in Proc. Med. Image Comput. Comput.-Assisted Intervention Conf., 2006, vol. II, pp. 209–216.
-
(2006)
Proc. Med. Image Comput. Comput.-Assisted Intervention Conf.
, vol.2
, pp. 209-216
-
-
Akselrod-Ballin, A.1
Galun, M.2
Gomori, J.M.3
Basri, R.4
Brandt, A.5
-
29
-
-
0030126711
-
Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI
-
Apr.
-
B. Johnston, M. Atkins, B. Mackiewich, and M. Anderson “Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI,” IEEE Trans. Med. Imag., vol. 15, no. 2, pp. 154–169, Apr. 1996.
-
(1996)
IEEE Trans. Med. Imag.
, vol.15
, Issue.2
, pp. 154-169
-
-
Johnston, B.1
Atkins, M.2
Mackiewich, B.3
Anderson, M.4
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