20.9.2.2 Brain, Cortex, MRI Segmentation

Gerig, G.[Guido], Martin, J.[John], Kikinis, R.[Ron], Kubler, O.[Olaf], Shenton, M.[Martha], Jolesz, F.A.[Ferenc A.],
Unsupervised tissue type segmentation of 3D dual-echo MR head data,
IVC(10), No. 6, July-August 1992, pp. 349-360.
WWW Version. 0401
BibRef

Joliot, M., and Mazoyer, B.M.,
Three-Dimensional Segmentation and Interpolation of Magnetic Resonance Brain Images,
MedImg(12), No. 2, June 1993, pp. 269-277.
IEEE Top Reference. BibRef 9306

Worth, A.J., Kennedy, D.N.,
Segmentation of Magnetic-Resonance Brain Images Using Analog Constraint Satisfaction Neural Networks,
IVC(12), No. 6, July-August 1994, pp. 345-354.
WWW Version. BibRef 9407

Tsai, C., Manjunath, B.S., Jagadeesan, R.,
Automated Segmentation of Brain MR-Images,
PR(28), No. 12, December 1995, pp. 1825-1837.
WWW Version. BibRef 9512

Li, X.H.[Xiao-Hong], Bhide, S., Kabuka, M.R.,
Labeling of MR brain images using Boolean neural network,
MedImg(15), No. 5, October 1996, pp. 628-638.
IEEE Top Reference. 0203
BibRef

Wells, III, W.M., Grimson, W.E.L., Kikinis, R., Jolesz, F.A.,
Adaptive segmentation of MRI data,
MedImg(15), No. 4, August 1996, pp. 429-442.
IEEE Top Reference.
PDF Version. 0203
BibRef
Earlier: CVRMed95(XX-YY) Segmentation. See also Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery and Enhanced Reality Visualization, An. BibRef

Kapur, T.[Tina], Grimson, W.E.L., Kikinis, R.,
Segmentation of Brain Tissue from MR Images,
MIA(1), No. 2, 1996, pp. 109-127.
PDF Version. BibRef 9600 CVRMed95(XX-YY) BibRef
Earlier: A1 Only: MIT AI-TR-1566, January 1995.
WWW Version. BibRef

Held, K., Kops, E.R., Krause, B.J., Wells, W.M., Kikinis, R., Müller-Gartner, H.W.,
Markov Random-Field Segmentation of Brain MR-Images,
MedImg(16), No. 6, December 1997, pp. 878-886.
IEEE Top Reference. 9803
BibRef

Soltanian-Zadeh, H.[Hamid], and Windham, J.P.[Joe P.],
A multiresolution approach for contour extraction from brain images,
MedPhys(24), No. 12, December 1997, pp. 1844-1853. BibRef 9712
And:
Computerized Analysis of Magnetic Resonance Images,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Atkins, M.S., Mackiewich, B.T.,
Fully-Automatic Segmentation of the Brain in MRI,
MedImg(17), No. 1, February 1998, pp. 98-107.
IEEE Top Reference. 9806
BibRef

Worth, A.J., Makris, N., Patti, M.R., Goodman, J.M., Hoge, E.A., Caviness, V.S., Kennedy, D.N.,
Precise Segmentation of the Lateral Ventricles and Caudate-Nucleus in MR Brain Images Using Anatomically Driven Histograms,
MedImg(17), No. 2, April 1998, pp. 303-310.
IEEE Top Reference. 9808
BibRef

Wang, Y., Adali, T., Kung, S.Y., Szabo, Z.,
Quantification and Segmentation of Brain Tissues from MR-Images: A Probabilistic Neural Network Approach,
IP(7), No. 8, August 1998, pp. 1165-1181.
IEEE DOI Link 9808
BibRef

Xuan, J.H.[Jian-Hua], Adali, T., Wang, Y.[Yue],
Segmentation of magnetic resonance brain image: Integrating region growing and edge detection,
ICIP95(III: 544-547).
IEEE DOI Link 9510
BibRef

Niessen, W.J., Vincken, K.L., Weickert, J.A., ter Haar Romeny, B.M., Viergever, M.A.,
Multiscale Segmentation of Three-Dimensional MR Brain Images,
IJCV(31), No. 2/3, April 1999, pp. 185-202.
WWW Version. BibRef 9904

Niessen, W.J.[Wiro J.], Vincken, K.L.[Koen L.], Weickert, J.A.[Joachim A.], and Viergever, M.A.[Max A.],
Three Dimensional MR Brain Segmentation,
ICCV98(53-58).
IEEE DOI Link BibRef 9800

Schultz, T.[Thomas], Burgeth, B.[Bernhard], Weickert, J.A.[Joachim A.],
Flexible Segmentation and Smoothing of DT-MRI Fields Through a Customizable Structure Tensor,
ISVC06(I: 455-464).
Springer DOI Link 0611
BibRef

Simmons, A.[Andrew], Jones, D.K.[Derek K.], Horsfield, M.A.[Mark A.], Williams, S.C.R.[Steven C.R.],
Application of diffusion tensor MRI to neurological segmentation,
IJIST(10), No. 3, 1999, pp. 273-286. BibRef 9900

Zeng, X.L.[Xiao-Lan], Staib, L.H.[Lawrence H.], Schultz, R.T.[Robert T.], and Duncan, J.S.[James S.],
Segmentation and Measurement of the Cortex from 3-D MR Images Using Coupled-Surfaces Propagation,
MedImg(18), No. 10, October 1999, pp. 927-937.
IEEE Top Reference. BibRef 9910
Earlier:
Volumetric Layer Segmentation Using Coupled Surfaces Propagation,
CVPR98(708-715).
IEEE Abstract. From CT Slices. Couple the surfaces to prevent going too far -- extracting the cortex layer from images. BibRef

Hata, Y., Kobashi, S., Hirano, S., Kitagaki, H., Mori, E.,
Automated Segmentation of Human Brain MR Images Aided by Fuzzy Information Granulation and Fuzzy Inference,
SMC-C(30), No. 3, August 2000, pp. 381.
IEEE Top Reference. 0011
BibRef

Hirano, S., Kamiura, N., Hata, Y., and Ishikawa, M.,
MAGNET: An Active Ditch Extraction Model,
ICIP97(II: 124-127).
IEEE DOI Link BibRef 9700

Xue, J.H.[Jing-Hao], Ruan, S.[Su], Moretti, B.[Bruno], Revenu, M.[Marinette], Bloyet, D.[Daniel],
Knowledge-based segmentation and labeling of brain structures from MRI images,
PRL(22), No. 3-4, March 2001, pp. 395-405.
Elsevier DOI Link 0105
BibRef

Dou, W.[Weibei], Ruan, S.[Su], Chen, Y.P.[Yan-Ping], Bloyet, D.[Daniel], Constans, J.M.[Jean-Marc],
A framework of fuzzy information fusion for the segmentation of brain tumor tissues on MR images,
IVC(25), No. 2, February 2007, pp. 164-171.
WWW Version. 0701
Fuzzy; Information fusion; Segmentation; Brain tumor; MRI BibRef

Ruan, S., Jaggi, C., Xue, J., Fadili, J., Bloyet, D.,
Brain tissue classification of magnetic resonance images using partial volume modeling,
MedImg(19), No. 12, December 2000, pp. 1179-1187.
IEEE Top Reference. 0110
BibRef

Ruan, S.[Su], Moretti, B.[Bruno], Fadili, J.[Jalal], Bloyet, D.[Daniel],
Fuzzy Markovian Segmentation in Application of Magnetic Resonance Images,
CVIU(85), No. 1, January 2002, pp. 54-69.
WWW Version. 0210
BibRef
Earlier:
Segmentation of Magnetic Resonance Images Using Fuzzy Markov Random Fields,
ICIP01(III: 1051-1054).
IEEE Abstract. 0108
BibRef

Bailleul, J., Ruan, S.[Su], Bloyet, D., Romaniuk, B.,
Segmentation of anatomical structures from 3D brain MRI using automatically-built statistical shape models,
ICIP04(IV: 2741-2744).
IEEE DOI Link 0505
BibRef

Ruan, S., Jaggi, C., Constans, J.M., Bloyet, D.,
Detection of Brain Activation from MRI Data by Likelihood-Ratio Test,
CVRMed95(XX-YY) BibRef 9500

van Leemput, K., Maes, F.[Frederik], Vandermeulen, D.[Dirk], Suetens, P.[Paul],
Automated model-based bias field correction of MR images of the brain,
MedImg(18), No. 10, October 1999, pp. 885-896.
IEEE Top Reference. 0110
BibRef

van Leemput, K., Maes, F.[Frederik], Vandermeulen, D.[Dirk], Suetens, P.[Paul],
A unifying framework for partial volume segmentation of brain MR images,
MedImg(22), No. 1, January 2003, pp. 105-119.
IEEE Top Reference. 0304
BibRef

van Leemput, K., Maes, F.[Frederik], Vandermeulen, D.[Dirk], Suetens, P.[Paul],
Automated model-based tissue classification of MR images of the brain,
MedImg(18), No. 10, October 1999, pp. 897-908.
IEEE Top Reference. 0110
BibRef

Ribbens, A.[Annemie], Maes, F.[Frederik], Vandermeulen, D.[Dirk], Suetens, P.[Paul],
Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information,
MCV10(184-194).
Springer DOI Link 1009
BibRef

Moon, N., Bullitt, E., van Leemput, K., Gerig, G.,
Model-based brain and tumor segmentation,
ICPR02(I: 528-531).
IEEE DOI Link 0211
BibRef

van Leemput, K.,
Encoding Probabilistic Brain Atlases Using Bayesian Inference,
MedImg(28), No. 6, June 2009, pp. 822-837.
IEEE DOI Link 0906
BibRef

Dawant, B.M., Hartmann, S.L., Thirion, J.P., Maes, F., Vandermeulen, D., Demaerel, P.,
Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. I. Methodology and validation on normal subjects,
MedImg(18), No. 10, October 1999, pp. 909-916.
IEEE Top Reference. 0110
BibRef

Hartmann, S.L., Parks, M.H., Martin, P.R., Dawant, B.M.,
Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. II. Validation on severely atrophied brains,
MedImg(18), No. 10, October 1999, pp. 917-926.
IEEE Top Reference. 0110
BibRef

Zhang, Y., Brady, J.M., Smith, S.M.,
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm,
MedImg(20), No. 1, January 2001, pp. 45-57.
IEEE Top Reference. 0110
BibRef

Barra, V., Boire, J.Y.,
Automatic segmentation of subcortical brain structures in MR images using information fusion,
MedImg(20), No. 7, July 2001, pp. 549-558.
IEEE Top Reference. 0110
BibRef

Marroquin, J.L., Vemuri, B.C., Botello, S., Calderon, F., Fernandez-Bouzas, A.,
An Accurate and Efficient Bayesian Method for Automatic Segmentation of Brain MRI,
MedImg(21), No. 8, August 2002, pp. 934-945.
IEEE Top Reference. 0301
BibRef
Earlier: A1, A2, A3, A4 only: ECCV02(IV: 560 ff.).
HTML Version. 0205
BibRef

Pitiot, A.[Alain], Toga, A.W., Thompson, P.M.[Paul M.],
Adaptive elastic segmentation of brain MRI via shape-model-guided evolutionary programming,
MedImg(21), No. 8, August 2002, pp. 910-923.
IEEE Top Reference. 0301
See also Learning Shape Correspondence for n-D curves. BibRef

Lai, R.J.[Rong-Jie], Shi, Y.G.[Yong-Gang], Sicotte, N.[Nancy], Toga, A.W.[Arthur W.],
Automated corpus callosum extraction via Laplace-Beltrami nodal parcellation and intrinsic geodesic curvature flows on surfaces,
ICCV11(2034-2040).
IEEE DOI Link 1201
BibRef

Pitiot, A.[Alain], Bardinet, É.[Éric], Thompson, P.M.[Paul M.], Malandain, G.[Grégoire],
Automated Piecewise Affine Registration of Biological Images,
INRIARR-4866, 2003.
HTML Version. BibRef 0300

Xu, M., Thompson, P.M., Toga, A.W.,
An Adaptive Level Set Segmentation on a Triangulated Mesh,
MedImg(23), No. 2, February 2004, pp. 191-201.
IEEE Abstract. 0403
Boundaries of complex structures. BibRef

Xu, M., Thompson, P.M., Toga, A.W.,
Adaptive Reproducing Kernel Particle Method for Extraction of the Cortical Surface,
MedImg(25), No. 6, June 2006, pp. 755-767.
IEEE DOI Link 0606
BibRef

Kwon, M.J., Han, Y.J., Shin, I.H., Park, H.W.,
Hierarchical fuzzy segmentation of brain MR images,
IJIST(13), No. 2, 2003, pp. 115-125.
WWW Version. 0308
BibRef

Xue, J.H.[Jing-Hao], Pizurica, A.[Aleksandra], Philips, W.[Wilfried], Kerre, E.[Etienne], van de Walle, R.[Rik], Lemahieu, I.[Ignace],
An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images,
PRL(24), No. 15, November 2003, pp. 2549-2560.
WWW Version. 0308
BibRef

Dokládal, P.[Petr], Bloch, I.[Isabelle], Couprie, M.[Michel], Ruijters, D.[Daniel], Urtasun, R.[Raquel], Garnero, L.[Line],
Topologically controlled segmentation of 3D magnetic resonance images of the head by using morphological operators,
PR(36No. 10, October 2003, pp. 2463-2478.
WWW Version. 0308
BibRef

Moussaoui, A.[Abdelouahab], Benmahammed, K.[Khier], Ferahta, N.[Nabila], Chen, V.,
A New MR Brain Image Segmentation Using an Optimal Semi-supervised Fuzzy C-means and pdf Estimation,
ELCVIA(5), No. 4, 2005, pp. 1-11.
WWW Version. 0001
BibRef

Siyal, M.Y., Yu, L.[Lin],
An intelligent modified fuzzy c-means based algorithm for bias estimation and segmentation of brain MRI,
PRL(26), No. 13, 1 October 2005, pp. 2052-2062.
WWW Version. 0509
BibRef

Jimenez-Alaniz, J.R., Medina-Banuelos, V., Yanez-Suarez, O.,
Data-Driven Brain MRI Segmentation Supported on Edge Confidence and A Priori Tissue Information,
MedImg(25), No. 1, January 2006, pp. 74-83.
IEEE DOI Link 0601
BibRef

Ramirez-Manzanares, A.[Alonso], Rivera, M.[Mariano],
Basis Tensor Decomposition for Restoring Intra-Voxel Structure and Stochastic Walks for Inferring Brain Connectivity in DT-MRI,
IJCV(69), No. 1, August 2006, pp. 77-92.
Springer DOI Link 0606
Diffusion Tensor Magnetic Resonance Imaging BibRef

Kobashi, S., Fujiki, Y., Matsui, M., Inoue, N., Kondo, K., Hata, Y., Sawada, T.,
Interactive Segmentation of the Cerebral Lobes With Fuzzy Inference in 3T MR Images,
SMC-B(36), No. 1, February 2006, pp. 74-86.
IEEE DOI Link 0602
BibRef

Lenglet, C.[Christophe], Rousson, M.[Mikaël], Deriche, R.[Rachid],
DTI Segmentation by Statistical Surface Evolution,
MedImg(25), No. 6, June 2006, pp. 685-700.
IEEE DOI Link 0606
BibRef
Earlier: INRIARR-5843, 2006.
HTML Version. BibRef

Descoteaux, M.[Maxime], Deriche, R.[Rachid],
High Angular Resolution Diffusion MRI Segmentation Using Region-Based Statistical Surface Evolution,
JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI Link 0903
BibRef

Descoteaux, M.[Maxime], Angelino, E.[Elaine], Fitzgibbons, S.[Shaun], Deriche, R.[Rachid],
Apparent Diffusion Coefficients from High Angular Resolution Diffusion Images: Estimation and Applications,
INRIARR-5681, 2005.
HTML Version. MRI white matter analysis. BibRef 0500

Lenglet, C.[Christophe], Rousson, M.[Mikaël], Deriche, R.[Rachid], Faugeras, O.D.[Olivier D.],
Statistics on the Manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing,
JMIV(25), No. 3, October 2006, pp. 423-444.
Springer DOI Link 0611
BibRef
Earlier:
Toward Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI,
INRIARR-5243, 2004.
HTML Version. BibRef
And:
Statistics on Multivariate Normal Distributions: A Geometric Approach and its Application to Diffusion Tensor MRI,
INRIARR-5242, 2004.
HTML Version. BibRef

Lenglet, C.[Christophe], Deriche, R.[Rachid], Faugeras, O.D.[Olivier D.],
Inferring White Matter Geometry from Diffusion Tensor MRI: Application to Connectivity Mapping,
ECCV04(Vol IV: 127-140).
WWW Version. 0405
BibRef

Greenspan, H., Ruf, A., Goldberger, J.,
Constrained Gaussian mixture model framework for automatic segmentation of MR brain images,
MedImg(25), No. 9, September 2006, pp. 1233-1245.
IEEE DOI Link 0609
BibRef

Ibrahim, M., John, N., Kabuka, M.R., Younis, A.A.,
Hidden Markov models-based 3D MRI brain segmentation,
IVC(24), No. 10, 1 October 2006, pp. 1065-1079.
WWW Version. 0609
Hidden Markov Models; Image segmentation; Medical imaging BibRef

Han, X.[Xiao], Fischl, B.[Bruce],
Atlas Renormalization for Improved Brain MR Image Segmentation Across Scanner Platforms,
MedImg(26), No. 4, April 2007, pp. 479-486.
IEEE DOI Link 0704
BibRef

Bazin, P.L.[Pierre-Louis], Pham, D.L.[Dzung L.],
Topology-Preserving Tissue Classification of Magnetic Resonance Brain Images,
MedImg(26), No. 4, April 2007, pp. 487-496.
IEEE DOI Link 0704
BibRef

Xia, Y.[Yan], Bettinger, K.[Keith], Shen, L.[Lin], Reiss, A.L.[Allan L.],
Automatic Segmentation of the Caudate Nucleus From Human Brain MR Images,
MedImg(26), No. 4, April 2007, pp. 509-517.
IEEE DOI Link 0704
BibRef

Jiang, S., Xue, H., Glover, A., Rutherford, M.A., Rueckert, D., Hajnal, J.V.,
MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies,
MedImg(26), No. 7, July 2007, pp. 967-980.
IEEE DOI Link 0707
BibRef

Zhao, L.[Lu], Tohka, J.[Jussi], Ruotsalainen, U.[Ulla],
Accurate 3D Left-Right Brain Hemisphere Segmentation in MR Images Based on Shape Bottlenecks and Partial Volume Estimation,
SCIA07(581-590).
Springer DOI Link 0706
BibRef

Richard, N.[Nathalie], Dojat, M.[Michel], Garbay, C.[Catherine],
Distributed Markovian segmentation: Application to MR brain scans,
PR(40), No. 12, December 2007, pp. 3467-3480.
WWW Version. 0709
Hidden Markov field; Medical imaging; Neuroimaging; Multi-agent BibRef

Scherrer, B., Forbes, F., Garbay, C., Dojat, M.,
Distributed Local MRF Models for Tissue and Structure Brain Segmentation,
MedImg(28), No. 8, August 2009, pp. 1278-1295.
IEEE DOI Link 0909
BibRef

Barmpoutis, A.[Angelos], Vemuri, B.C.[Baba C.], Shepherd, T.M., Forder, J.R.,
Tensor Splines for Interpolation and Approximation of DT-MRI With Applications to Segmentation of Isolated Rat Hippocampi,
MedImg(26), No. 11, November 2007, pp. 1537-1546.
IEEE DOI Link 0709
BibRef

Jonasson, L., Bresson, X., Thiran, J.P., Wedeen, V.J., Hagmann, P.,
Representing Diffusion MRI in 5-D Simplifies Regularization and Segmentation of White Matter Tracts,
MedImg(26), No. 11, November 2007, pp. 1547-1554.
IEEE DOI Link 0709
BibRef

Clayden, J.D., Storkey, A.J., Bastin, M.E.,
A Probabilistic Model-Based Approach to Consistent White Matter Tract Segmentation,
MedImg(26), No. 11, November 2007, pp. 1555-1561.
IEEE DOI Link 0709
BibRef

Zhang, H., Avants, B.B., Yushkevich, P.A., Woo, J.H., Wang, S., McCluskey, L.F., Elman, L.B., Melhem, E.R., Gee, J.C.,
High-Dimensional Spatial Normalization of Diffusion Tensor Images Improves the Detection of White Matter Differences: An Example Study Using Amyotrophic Lateral Sclerosis,
MedImg(26), No. 11, November 2007, pp. 1585-1597.
IEEE DOI Link 0709
BibRef

Liao, L.[Liang], Lin, T.S.[Tu-Sheng], Li, B.[Bi],
MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach,
PRL(29), No. 10, 15 July 2008, pp. 1580-1588.
WWW Version. 0711
Image segmentation; Kernel-based clustering; Intensity inhomogeneities; Magnetic resonance imaging BibRef

Mayer, A., Greenspan, H.,
An Adaptive Mean-Shift Framework for MRI Brain Segmentation,
MedImg(28), No. 8, August 2009, pp. 1238-1250.
IEEE DOI Link 0909
BibRef

Mechouche, A., Morandi, X., Golbreich, C., Gibaud, B.,
A Hybrid System Using Symbolic and Numeric Knowledge for the Semantic Annotation of Sulco-Gyral Anatomy in Brain MRI Images,
MedImg(28), No. 8, August 2009, pp. 1165-1178.
IEEE DOI Link 0909
BibRef

Faria, A.V.[Andreia V.], Oishi, K.[Kenichi], Mori, S.[Susumu],
Study of white matter anatomy and 3D tract reconstruction by diffusion tensor imaging,
IJIST(20), No. 1, March 2010, pp. 51-56.
WWW Version. 1003
BibRef

Ronen, I.[Itamar],
Studying brain cytoarchitecture with MRI - Present, future and promises of high field,
IJIST(20), No. 1, March 2010, pp. 57-61.
WWW Version. 1003
BibRef

Wu, J.[Jie], Chen, J.[Jiabi], Zhang, X.L.[Xue-Long], Chen, J.[Jinghai],
The Segmentation of Brain MR Images Using Reformative Expectation-maximization Algorithm,
IJIG(10), No. 2, April 2010, pp. 289-297.
WWW Version. 1003
BibRef

Li, W., Ogunbona, P., Desilva, C., Attikiouzel, Y.,
Semi-supervised maximum a posteriori probability segmentation of brain tissues from dual-echo magnetic resonance scans using incomplete training data,
IET-IPR(5), No. 3, June 2011, pp. 222-232.
WWW Version. 1105
BibRef

Jeon, S.[Seun], Yoon, U.[Uicheul], Park, J.S.[Jun-Sung], Seo, S.W.[Sang Won], Kim, J.H.[Jung-Hyun], Kim, S.T.[Sung Tae], Kim, S.I.[Sun I.], Na, D.L.[Duk L.], Lee, J.M.[Jong-Min],
Fully automated pipeline for quantification and localization of white matter hyperintensity in brain magnetic resonance image,
IJIST(21), No. 2, June 2011, pp. 193-200.
WWW Version. 1101
BibRef

Caldairou, B.[Benoît], Passat, N.[Nicolas], Habas, P.A.[Piotr A.], Studholme, C.[Colin], Rousseau, F.[François],
A Non-Local Fuzzy Segmentation Method: Application to Brain MRI,
PR(44), No. 9, September 2011, pp. 1916-1927.
Elsevier DOI Link
WWW Version. 1106
BibRef
Earlier: A1, A5, A2, A3, A4 add A6: Heinrich, C.[Christian], CAIP09(606-613).
Springer DOI Link 0909
Fuzzy clustering; Regularisation; Non-local processing; Brain segmentation; MRI BibRef

Rousseau, F.[Francois], Habas, P.A.[Piotr A.], Studholme, C.[Colin],
Human brain labeling using image similarities,
CVPR11(1081-1088).
IEEE DOI Link 1106
BibRef

Chou, N., Wu, J., J., B.B.[Bai Bingren,], Qiu, A., Chuang, K.H.,
Robust Automatic Rodent Brain Extraction Using 3-D Pulse-Coupled Neural Networks (PCNN),
IP(20), No. 9, September 2011, pp. 2554-2564.
IEEE DOI Link 1109
BibRef

Ji, Z.X.[Ze-Xuan], Sun, Q.S.[Quan-Sen], Xia, D.S.[De-Shen],
A framework with modified fast FCM for brain MR images segmentation,
PR(44), No. 5, May 2011, pp. 999-1013.
Elsevier DOI Link
WWW Version. 1101
Brain MR image; Image segmentation; FCM; Anisotropic weight; Intensity inhomogeneity; Partial volume BibRef

Péporté, M.[Michèle], Ghita, D.E.I.[Dana E. Ilea], Twomey, E.[Eilish], Whelan, P.F.[Paul F.],
A Hybrid Approach to Brain Extraction from Premature Infant MRI,
SCIA11(719-730).
Springer DOI Link 1105
BibRef

Hower, D.[Dylan], Singh, V.[Vikas], Johnson, S.C.[Sterling C.],
Label set perturbation for MRF based neuroimaging segmentation,
ICCV09(849-856).
IEEE DOI Link 0909
Graph cuts for neuroimaging. BibRef

Khandani, M.K.[Masoumeh Kalantari], Bajcsy, R.[Ruzena], Fallah, Y.P.[Yaser P.],
Automated Segmentation of Brain Tumors in MRI Using Force Data Clustering Algorithm,
ISVC09(I: 317-326).
Springer DOI Link 0911
BibRef

Niu, J.W.[Jian-Wei], Shen, S.[Sisi],
A New Image Segmentation Method Based on Modified Intersecting Cortical Model,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Li, Y.J.[Yi-Jun], Zhang, J.[Junying], Yin, H.[Hong], Lu, H.B.[Hong-Bing],
Analysis of Cortical Thickness Indicating Cingulate Gyrus and Temporal Gyrus Incrassation in Posttraumatic Stress Disorder Due to Mining Disaster,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Guan, Y.H.[Yi-Hong], Lv, L.[Liang], Duan, R.[Rui], Ji, Y.H.[Yun-Hai],
The Brain Image Segmentation by Markov Field and Normal Distribution Curve,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Zhang, S.T.[Shao-Ting], Zhou, J.H.[Jing-Hao], Wang, X.X.[Xiao-Xu], Chang, S.[Sukmoon], Metaxas, D.N.[Dimitris N.], Pappas, G.[George], Delis, F.[Foteini], Volkow, N.D.[Nora D.], Wang, G.J.[Gene-Jack], Thanos, P.K.[Panayotis K.], Kambhamettu, C.[Chandra],
3D segmentation of rodent brains using deformable models and variational methods,
MMBIA09(94-100).
IEEE DOI Link 0906
BibRef

Han, X.[Xiao], Hibbard, L.S.[Lyndon S.], Willcut, V.[Virgil],
GPU-accelerated, gradient-free MI deformable registration for atlas-based MR brain image segmentation,
MMBIA09(141-148).
IEEE DOI Link 0906
BibRef

Zimmerman-Moreno, G.[Gali], Mayer, A.[Arnaldo], Greenspan, H.[Hayit],
Classification trees for fast segmentation of DTI brain fiber tracts,
MMBIA08(1-7).
IEEE DOI Link 0806
BibRef

He, Q.[Qing], Karsch, K.[Kevin], Duan, Y.[Ye],
A Novel Algorithm for Automatic Brain Structure Segmentation from MRI,
ISVC08(I: 552-561).
Springer DOI Link 0812
BibRef

Prastawa, M.[Marcel], Gerig, G.[Guido],
Brain Lesion Segmentation through Physical Model Estimation,
ISVC08(I: 562-571).
Springer DOI Link 0812
BibRef

Paz, J.[Juan], Pérez, M.[Marlen], Miranda, I.[Iroel], Schelkens, P.[Peter],
Estimating the Detectability of Small Lesions in High Resolution MR Compressed Images,
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Brain, Cortex, Registration, MRI, Other .