20.9.7 Brain, Cortex, MRI Analysis, Models, 3-D

Chapter Contents (Back)
Brain. Cortex. MRI. Brain MRI. See also Brain, Cortex, Registration, Alignment, MRI, Other. See also Functional Magnetic Resonance, fMRI. Segmentation specific papers in: See also Brain, Cortex, MRI Segmentation.

Raman, S.V., Sarkar, S., Boyer, K.L.,
Hypothesizing Structures in Edge-Focused Cerebral Magnetic Resonance Images Using Graph-Theoretic Cycle Enumeration,
CVGIP(57), No. 1, January 1993, pp. 81-98.
WWW Link. BibRef 9301

Ge, Y., Fitzpatrick, J.M., Dawant, B.M., Bao, J., Kessler, R.M., Margolin, R.A.,
Accurate localization of cortical convolutions in MR brain images,
MedImg(15), No. 4, August 1996, pp. 418-428.
IEEE Top Reference. 0203
BibRef

Sonka, M., Tadikonda, S.K., Collins, S.M.,
Knowledge-based interpretation of MR brain images,
MedImg(15), No. 4, August 1996, pp. 443-452.
IEEE Top Reference. 0203
BibRef

Rajapakse, J.C., Giedd, J.N., Rapoport, J.L.,
Statistical approach to segmentation of single-channel cerebral MR images,
MedImg(16), No. 2, April 1997, pp. 176-186.
IEEE Top Reference. 0205
BibRef

Rajapakse, J.C., Kruggel, F.,
Segmentation of MR-Images With Intensity Inhomogeneities,
IVC(16), No. 3, March 16 1998, pp. 165-180.
WWW Link. 9804
BibRef

Gosche, K.M.[Karen M.], Velthuizen, R.P.[Robert P.], Murtagh, F.R.[F. Reed], Arrington, J.A.[John A.], Gross, W.W.[William W.], Mortimer, J.A.[James A.], Clarke, L.P.[Laurence P.],
Automated quantification of brain magnetic resonance image hyperintensities using hybrid clustering and knowledge-based methods,
IJIST(10), No. 3, 1999, pp. 287-293. BibRef 9900

Wang, Y., Adali, T., Lau, C.M., Kung, S.Y.,
Quantitative-Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures,
VLSIVideo(18), No. 3, April 1998, pp. 219-239. 9806
BibRef

Zengingonul, H.P.[Hale Pinar], Mulkern, R.V.[Robert V.],
Measurement and analysis of nonexponential signal decay curves in brain diffusion and muscle relaxation magnetic resonance studies in humans,
IJIST(10), No. 3, 1999, pp. 294-303. BibRef 9900

Thulborn, K.R.[Keith R.], Uttecht, S.D.[Steve D.],
Volumetry and topography of the human brain by magnetic resonance imaging,
IJIST(11), No. 3, 2000, pp. 198-208. 0102
BibRef

Kovalev, V.A., Kruggel, F., Gertz, H.J., von Cramon, D.Y.,
Three-dimensional texture analysis of MRI brain datasets,
MedImg(20), No. 5, May 2001, pp. 424-433.
IEEE Top Reference. 0110
BibRef

Kovalev, V.A.[Vassili A.], Kruggel, F.[Frithjof],
Texture Anisotropy of the Brain's White Matter as Revealed by Anatomical MRI,
MedImg(26), No. 5, May 2007, pp. 678-685.
IEEE DOI 0705
BibRef

Kovalev, V.A., Kruggel, F., von Cramon, D.Y.,
Structural brain asymmetry as revealed by 3d texture analysis of anatomical MR images,
ICPR02(I: 808-811).
IEEE DOI 0211
BibRef

Xu, C.Y., Pham, D.L., Rettmann, M.E., Yu, D.N., Prince, J.L.,
Reconstruction of the human cerebral cortex from magnetic resonance images,
MedImg(18), No. 6, June 1999, pp. 467-480.
IEEE Top Reference. 0110
See also Topology Preserving Level Set Method for Geometric Deformable Models. BibRef

Han, X., Xu, C.Y., Tosun, D., Prince, J.L.,
Cortical Surface Reconstruction Using a Topology Preserving Geometric Deformable Model,
MMBIA01(xx-yy). 0110
Cortex. BibRef

Pham, D.L., Prince, J.L.,
Partial volume estimation and the fuzzy C-means algorithm,
ICIP98(III: 819-822).
IEEE DOI 9810
brain MRI application BibRef

Bullmore, E.T., Suckling, J., Overmeyer, S., Rabe-Hesketh, S., Taylor, E., Brammer, M.J.,
Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain,
MedImg(18), No. 1, January 1999, pp. 32-42.
IEEE Top Reference. 0110
BibRef

Amit, Y.,
Graphical shape templates for automatic anatomy detection with applications to MRI brain scans,
MedImg(16), No. 1, February 1997, pp. 28-40.
IEEE Top Reference. 0205
BibRef

Bao, Y.F.[Yu-Fang], Maudsley, A.A.[Andrew A.],
Improved Reconstruction for MR Spectroscopic Imaging,
MedImg(26), No. 5, May 2007, pp. 686-695.
IEEE DOI 0705
BibRef

Drapaca, C.S.[Corina S.], Cardenas, V.[Valerie], Studholme, C.[Colin],
Segmentation of tissue boundary evolution from brain MR image sequences using multi-phase level sets,
CVIU(100), No. 3, December 2005, pp. 312-329.
WWW Link. 0512
BibRef

Studholme, C., Drapaca, C.S., Iordanova, B., Cardenas, V.,
Deformation-Based Mapping of Volume Change From Serial Brain MRI in the Presence of Local Tissue Contrast Change,
MedImg(25), No. 5, May 2006, pp. 626-639.
IEEE DOI 0605
BibRef

Koretz, J.F.[Jane F.], Strenk, S.A.[Susan A.], Strenk, L.M.[Lawrence M.], Semmlow, J.L.[John L.],
Scheimpflug and high-resolution Magnetic Resonance Imaging of the anterior segment: a comparative study,
JOSA-A(21), No. 3, March 2004, pp. 346-354.
WWW Link. 0409
BibRef

Sajda, P., Du, S., Brown, T.R., Stoyanova, R.S., Shungu, D.C., Mao, X.[Xiangling], Parra, L.C.,
Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain,
MedImg(23), No. 12, December 2004, pp. 1453-1465.
IEEE Abstract. 0412
BibRef

Barta, P., Miller, M.I., Qiu, A.,
A Stochastic Model for Studying the Laminar Structure of Cortex From MRI,
MedImg(24), No. 6, June 2005, pp. 728-742.
IEEE Abstract. 0506
BibRef

Wismüller, A.[Axel], Meyer-Baese, A., Lange, O.[Oliver], Reiser, M.F., Leinsinger, G.L.[Gerda L.],
Cluster Analysis of Dynamic Cerebral Contrast-Enhanced Perfusion MRI Time-Series,
MedImg(25), No. 1, January 2006, pp. 62-73.
IEEE DOI 0601
See also Cluster Analysis of Biomedical Image Time-Series. BibRef

Bach Cuadra, M., Cammoun, L., Butz, T., Cuisenaire, O., Thiran, J.P.,
Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images,
MedImg(24), No. 12, December 2005, pp. 1548-1565.
IEEE DOI 0601
BibRef
And: Correction: MedImg(25), No. 2, February 2006, pp. 241-241.
IEEE DOI 0602
BibRef

Linguraru, M.G., Ayache, N.J., Bardinet, E., Gonzalez Ballester, M.A., Galanaud, D., Haik, S., Faucheux, B., Hauw, J.J., Cozzone, P., Dormont, D., Brandel, J.P.,
Differentiation of sCJD and vCJD Forms by Automated Analysis of Basal Ganglia Intensity Distribution in Multisequence MRI of the Brain: Definition and Evaluation of New MRI-Based Ratios,
MedImg(25), No. 8, August 2006, pp. 1052-1067.
IEEE DOI 0608
BibRef

Sebastiani, G.[Giovanni], de Pasquale, F.[Francesco], Barone, P.[Piero],
Quantifying Human Brain Connectivity from Diffusion Tensor MRI,
JMIV(25), No. 2, September 2006, pp. 227-244.
Springer DOI 0610
See also Solving an Inverse Diffusion Problem for Magnetic Resonance Dosimetry by a Fast Regularization Method. BibRef

Schmid, V.J., Whitcher, B., Padhani, A.R., Taylor, N.J., Yang, G.Z.,
Bayesian Methods for Pharmacokinetic Models in Dynamic Contrast-Enhanced Magnetic Resonance Imaging,
MedImg(25), No. 12, December 2006, pp. 1627-1636.
IEEE DOI 0701
BibRef

Schmid, V.J., Whitcher, B., Padhani, A.R., Yang, G.Z.,
Quantitative Analysis of Dynamic Contrast-Enhanced MR Images Based on Bayesian P-Splines,
MedImg(28), No. 6, June 2009, pp. 789-798.
IEEE DOI 0906
BibRef

Peled, S.,
New Perspectives on the Sources of White Matter DTI Signal,
MedImg(26), No. 11, November 2007, pp. 1448-1455.
IEEE DOI 0709
BibRef

Thomaz, C.E.[Carlos E.], Duran, F.L.S.[Fabio L. S.], Busatto, G.F.[Geraldo F.], Gillies, D.F.[Duncan F.], Rueckert, D.[Daniel],
Multivariate Statistical Differences of MRI Samples of the Human Brain,
JMIV(29), No. 2-3, November 2007, pp. 95-106.
Springer DOI 0712
BibRef

Schaer, M., Cuadra, M.B., Tamarit, L., Lazeyras, F., Eliez, S., Thiran, J.P.,
A Surface-Based Approach to Quantify Local Cortical Gyrification,
MedImg(27), No. 2, February 2008, pp. 161-170.
IEEE DOI 0802
BibRef

Pohl, K.M., Bouix, S., Nakamura, M., Rohlfing, T., McCarley, R.W., Kikinis, R., Grimson, W.E.L., Shenton, M.E., Wells, III, W.M.[William M.],
A Hierarchical Algorithm for MR Brain Image Parcellation,
MedImg(26), No. 9, September 2007, pp. 1201-1212.
IEEE DOI 0710
BibRef

Toews, M.[Matthew], Wells, W.M.[William M.],
A mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images,
MMBIA10(111-116).
IEEE DOI 1006
BibRef

Pohl, K.M.[Kilian M.], Fisher, J.W.[John W.], Kikinis, R.[Ron], Grimson, W.E.L.[W. Eric L.], Wells, III, W.M.[William M.],
Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images,
CVBIA05(489-498).
Springer DOI 0601
BibRef
And:
An Expectation Maximization Approach for Integrated Registration, Segmentation, and Intensity Correction,
CSAIL-2005-020, April 2005.
WWW Link. BibRef

Bose, B.[Biswajit], Fisher, J.W.[John W.], Fischl, B.[Bruce], Hinds, O.[Oliver], Grimson, W.E.L.[W. Eric L.],
Detecting Cortical Surface Regions in Structural MR Data,
MMBIA07(1-8).
IEEE DOI 0710
BibRef

Cho, Z.H.[Zang-Hee], Kim, Y.B.[Young-Bo], Han, J.Y.[Jae-Yong], Min, H.K.[Hoon-Ki], Kim, K.N.[Kyoung-Nam], Choi, S.H.[Sang-Han], Veklerov, E.[Eugene], Shepp, L.A.[Larry A.],
New brain atlas: Mapping the human brain in vivo with 7.0 T MRI and comparison with postmortem histology: Will these images change modern medicine?,
IJIST(18), No. 1, 2008, pp. 2-8.
DOI Link 0806
BibRef

Kwon, M.J.[Min Jeong], Hahn, J.Y.[Joo-Young], Park, H.W.[Hyun-Wook],
A fast spherical inflation method of the cerebral cortex by deformation of a simplex mesh on the polar coordinates,
IJIST(18), No. 1, 2008, pp. 9-16.
DOI Link 0806
BibRef

Pienaar, R., Fischl, B., Caviness, V., Makris, N., Grant, P.E.,
A methodology for analyzing curvature in the developing brain from preterm to adult,
IJIST(18), No. 1, 2008, pp. 42-68.
DOI Link 0806
BibRef

Marzelli, M.[Matthew], Fischer, K.[Krisztina], Kim, Y.B.[Young Beom], Mulkern, R.V.[Robert V.], Yoo, S.S.[Seung-Schik], Park, H.W.[Hyun-Wook], Cho, Z.H.[Zang-Hee],
Composite MR contrast agents for conditional cell-labeling,
IJIST(18), No. 1, 2008, pp. 79-84.
DOI Link 0806
BibRef

Yokoyama, R.[Ryujiro], Zhang, X.J.[Xue-Jun], Uchiyama, Y.[Yoshikazu], Fujita, H.[Hiroshi], Hara, T.[Takeshi], Zhou, X.R.[Xiang-Rong], Kanematsu, M.[Masayuki], Asano, T.[Takahiko], Kondo, H.[Hiroshi], Goshima, S.[Satoshi], Hoshi, H.[Hiroaki], Iwama, T.[Toru],
Development of an Automated Method for the Detection of Chronic Lacunar Infarct Regions in Brain MR Images,
IEICE(E90-D), No. 6, June 2007, pp. 943-954.
DOI Link 0706
BibRef

Meegama, R.G.N.[Ravinda G. N.], Rajapakse, J.C.[Jagath C.],
Fully Automated Peeling Technique For T1-weighted, High-quality MR Head Scans,
IJIG(4), No. 2, April 2004, pp. 141-156. 0404
BibRef

Tosun, D., Prince, J.L.,
A Geometry-Driven Optical Flow Warping for Spatial Normalization of Cortical Surfaces,
MedImg(27), No. 12, December 2008, pp. 1739-1753.
IEEE DOI 0812
BibRef

Paley, M.N.J.[Martyn N.J.], Chow, L.S.[Li Sze], Whitby, E.H.[Elspeth H.], Cook, G.G.[Greg G.],
Modelling of axonal fields in the optic nerve for direct MR detection studies,
IVC(27), No. 4, 3 March 2009, pp. 331-341.
Elsevier DOI 0804
Optic nerve; Axonal waveform; Direct MR detection; Neuronal firing; Axonal firing; Hodgkin-Huxley equations; Direct neuronal detection; MRI BibRef

Koo, J.J., Evans, A.C., Gross, W.J.,
3-D Brain MRI Tissue Classification on FPGAs,
IP(18), No. 12, December 2009, pp. 2735-2746.
IEEE DOI 0912
BibRef

Park, J.S., Chung, M.S., Shin, D.S., Har, D.H., Cho, Z.H., Kim, Y.B., Han, J.Y., Chi, J.G.,
Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIs,
PIEEE(97), No. 12, December 2009, pp. 1988-1996.
IEEE DOI 0912
BibRef

Beekman, F.J., Vastenhouw, B., van der Wilt, G., Vervloet, M., Visscher, R., Booij, J., Gerrits, M., Ji, C., Ramakers, R., van der Have, F.,
3-D Rat Brain Phantom for High-Resolution Molecular Imaging,
PIEEE(97), No. 12, December 2009, pp. 1997-2005.
IEEE DOI 0912
BibRef

DeLorenzo, C.[Christine], Papademetris, X.[Xenophon], Staib, L.H.[Lawrence H.], Vives, K.P.[Kenneth P.], Spencer, D.D.[Dennis D.], Duncan, J.S.[James S.],
Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation,
MedImg(31), No. 8, August 2012, pp. 1607-1619.
IEEE DOI 1208
BibRef

Bourouis, S.[Sami], Hamrouni, K.[Kamel],
3D Segmentation of MRI Brain Using Level Set and Unsupervised Classification,
IJIG(10), No. 1, January 2010, pp. 135-154.
DOI Link 1003
BibRef
Earlier:
An Efficient Framework for Brain Tumor Segmentation in Magnetic Resonance Images,
IPTA08(1-5).
IEEE DOI 0811
BibRef

Bourouis, S.[Sami], Hamrouni, K.[Kamel], Betrouni, N.[Nacim],
Automatic MRI Brain Segmentation with Combined Atlas-Based Classification and Level-Set Approach,
ICIAR08(xx-yy).
Springer DOI 0806
See also New Method for Volume Segmentation of PET Images, Based on Possibility Theory, A. BibRef

Lopes, R., Dubois, P., Bhouri, I., Bedoui, M.H., Maouche, S., Betrouni, N.,
Local fractal and multifractal features for volumic texture characterization,
PR(44), No. 8, August 2011, pp. 1690-1697.
Elsevier DOI 1104
3D fractal; Multifractal analysis; Texture analysis; Classification BibRef

Angelone, L.M., Ahveninen, J., Belliveau, J.W., Bonmassar, G.,
Analysis of the Role of Lead Resistivity in Specific Absorption Rate for Deep Brain Stimulator Leads at 3T MRI,
MedImg(29), No. 4, April 2010, pp. 1029-1038.
IEEE DOI 1003
BibRef

Zhu, H., Styner, M.[Martin], Tang, N., Liu, Z., Lin, W., Gilmore, J.H.[John H.],
FRATS: Functional Regression Analysis of DTI Tract Statistics,
MedImg(29), No. 4, April 2010, pp. 1039-1049.
IEEE DOI 1003
BibRef

Xu, S.[Shun], Styner, M.[Martin], Gilmore, J.H.[John H.], Piven, J.[Joseph], Gerig, G.[Guido],
Multivariate nonlinear mixed model to analyze longitudinal image data: MRI study of early brain development,
MMBIA08(1-8).
IEEE DOI 0806
See also Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data. BibRef

Li, Y., Gilmore, J.H., Wang, J., Styner, M., Lin, W., Zhu, H.,
TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data,
MedImg(31), No. 5, May 2012, pp. 1100-1112.
IEEE DOI 1202
BibRef

Yang, F.[Faguo], Shan, Z.Y.[Zuyao Y.], Kruggel, F.[Frithjof],
White matter lesion segmentation based on feature joint occurrence probability and [chi]2 random field theory from magnetic resonance (MR) images,
PRL(31), No. 9, 1 July 2010, pp. 781-790.
Elsevier DOI 1004
White matter lesions; Joint probability; [chi]2 Random field theory BibRef

Woliny, G., Tittgemeyer, M., Kruggel, F.,
Segmentation of Vector Fields by Critical Point Analysis: Application to Brain Deformation,
ICPR02(I: 524-527).
IEEE DOI 0211
BibRef

Mittelhaeusser, G., Kruggel, F.,
Fast Segmentation of Brain Magnetic Resonance Tomograms,
CVRMed95(XX-YY) BibRef 9500

Lohmann, G., Kruggel, F.,
Extracting Lines of Maximal Depth from MRI Images of the Human Brain,
ICPR96(III: 518-522).
IEEE DOI 9608
(Max-Planck-Inst. of Cognitive Neuroscience, D) BibRef

Isoardi, R.A., Oliva, D.E., Mato, G.,
Maximum Evidence Method for classification of brain tissues in MRI,
PRL(31), No. 1, January 2010, pp. 12-18.
Elsevier DOI 1011
Bayesian estimation; Magnetic Resonance Imaging; Image segmentation; Partial volume effect BibRef

Castro, M.A., Yao, J., Pang, Y., Lee, C., Baker, E., Butman, J., Evangelou, I.E., Thomasson, D.,
Template-Based B_1 Inhomogeneity Correction in 3T MRI Brain Studies,
MedImg(29), No. 11, November 2010, pp. 1927-1941.
IEEE DOI 1011
BibRef

Gholipour, A., Estroff, J.A., Warfield, S.K.,
Robust Super-Resolution Volume Reconstruction From Slice Acquisitions: Application to Fetal Brain MRI,
MedImg(29), No. 10, October 2010, pp. 1739-1758.
IEEE DOI 1011
See also Symmetric deformable image registration via optimization of information theoretic measures. BibRef

Scherrer, B.[Benoit], Gholipour, A.[Ali], Warfield, S.K.[Simon K.],
Super-resolution reconstruction of diffusion-weighted images from distortion compensated orthogonal anisotropic acquisitions,
MMBIA12(249-254).
IEEE DOI 1203
BibRef

Yousefi, S., Kehtarnavaz, N., Gholipour, A., Gopinath, K.S., Briggs, R.W.,
Comparison of atlas-based segmentation of subcortical structures in magnetic resonance brain images,
Southwest10(1-4).
IEEE DOI 1005
BibRef

Ceyhan, E., Hosakere, M., Nishino, T., Alexopoulos, J., Todd, R.D., Botteron, K.N., Miller, M.I., Ratnanather, J.T.,
Statistical Analysis of Cortical Morphometrics Using Pooled Distances Based on Labeled Cortical Distance Maps,
JMIV(40), No. 1, May 2011, pp. 20-35.
WWW Link. 1103
BibRef

Rudra, A.K.[Ashish K.], Sen, M.[Mainak], Chowdhury, A.S.[Ananda S.], Elnakib, A.[Ahmed], El-Baz, A.[Ayman],
3D Graph cut with new edge weights for cerebral white matter segmentation,
PRL(32), No. 7, 1 May 2011, pp. 941-947.
Elsevier DOI 1101
BibRef
Earlier: A3, A1, A2, A4, A5:
Cerebral white matter segmentation from MRI using probabilistic graph cuts and geometric shape priors,
ICIP10(3649-3652).
IEEE DOI 1009
Graph cut; Edge weights; Subgraph; Shape prior; Cerebral white matter segmentation BibRef

Röttger, D.[Diana], Seib, V.[Viktor], Müller, S.[Stefan],
Distance-based tractography in high angular resolution diffusion MRI,
VC(27), No. 6-8, June 2011, pp. 729-738.
WWW Link. 1107
BibRef

Aljabar, P., Wolz, R., Srinivasan, L., Counsell, S.J., Rutherford, M.A., Edwards, A.D., Hajnal, J.V., Rueckert, D.,
A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development,
MedImg(30), No. 12, December 2011, pp. 2072-2086.
IEEE DOI 1112
BibRef

Bhatia, K.K., Rao, A., Price, A.N., Wolz, R., Hajnal, J.V., Rueckert, D.,
Hierarchical Manifold Learning for Regional Image Analysis,
MedImg(33), No. 2, February 2014, pp. 444-461.
IEEE DOI 1403
biomedical MRI BibRef

Mendiola-Santibañez, J.D.[Jorge D.], Terol-Villalobos, I.R.[Iván R.], Jiménez-Sánchez, A.R.[Angélica R.], Gallegos-Duarte, M.[Martín], Rodriguez-Resendiz, J.[Juvenal], Santillan, I.[Israel],
Application of morphological connected openings and levelings on magnetic resonance images of the brain,
IJIST(21), No. 4, December 2011, pp. 336-348.
DOI Link 1112
BibRef

Darki, F.[Fahimeh], Oghabian, M.A.[Mohammad Ali], Ahmadian, A.[Alireza], Zadeh, H.S.[Hamid Soltanian], Zarei, M.[Mojtaba],
Fractional anisotropy-weighted front evolution algorithm for white matter tractography based on diffusion tensor imaging data,
IJIST(21), No. 4, December 2011, pp. 307-314.
DOI Link 1112
BibRef

Jespersen, S.N., Leigland, L.A., Cornea, A., Kroenke, C.D.,
Determination of Axonal and Dendritic Orientation Distributions Within the Developing Cerebral Cortex by Diffusion Tensor Imaging,
MedImg(31), No. 1, January 2012, pp. 16-32.
IEEE DOI 1201
BibRef

Cerrolaza, J.J., Villanueva, A., Cabeza, R.,
Hierarchical Statistical Shape Models of Multiobject Anatomical Structures: Application to Brain MRI,
MedImg(31), No. 3, March 2012, pp. 713-724.
IEEE DOI 1203
BibRef

Balafar, M.A., Ramli, A.R., Saripan, M.I., Mashohor, S.,
Review of brain MRI image segmentation methods,
AIR(33), No. 3, March 2010, pp. 261-274.
WWW Link. 1208
Survey, MRI. BibRef

Balafar, M.A., Ramli, A.R., Mashohor, S.,
A new method for MR grayscale inhomogeneity correction,
AIR(34), No. 2, August 2010, pp. 195-204.
WWW Link. 1208
BibRef

Elsayed, A.[Ashraf], Coenen, F.[Frans], García-Fiñana, M.[Marta], Sluming, V.[Vanessa],
Classification of MRI Brain Scan Data Using Shape Criteria,
BMVA(2011), No. 6, 2011, pp. 1-14.
PDF File. 1209
BibRef

Mace, E., Cohen, I., Montaldo, G., Miles, R., Fink, M., Tanter, M.,
In Vivo Mapping of Brain Elasticity in Small Animals Using Shear Wave Imaging,
MedImg(30), No. 3, March 2011, pp. 550-558.
IEEE DOI 1103
BibRef

Deligianni, F.[Fani], Robinson, E.C.[Emma Claire], Edwards, A.D.[A. David], Rueckert, D.[Daniel], Sharp, D.[David], Alexander, D.[Daniel],
Hierarchy in Anatomical Brain Networks Derived from Diffusion Weighted Images in 64 and 15 Directions,
BMVA(2012), No. 4, 2012, pp. 1-21.
PDF File. 1209
BibRef

Yoldemir, B., Acar, B., Firat, Z., Kilickesmez, O.,
SMT: A Reliability Based Interactive DTI Tractography Algorithm,
MedImg(31), No. 10, October 2012, pp. 1929-1940.
IEEE DOI 1210
BibRef

Auzias, G., Le Fevre, J., Le Troter, A., Fisher, C., Perrot, M., Regis, J., Coulon, O.,
Model-Driven Harmonic Parameterization of the Cortical Surface: HIP-HOP,
MedImg(32), No. 5, May 2013, pp. 873-887.
IEEE DOI 1305
BibRef

Sotiropoulos, S.N., Jbabdi, S., Andersson, J.L., Woolrich, M.W., Ugurbil, K., Behrens, T.E.J.,
RubiX: Combining Spatial Resolutions for Bayesian Inference of Crossing Fibers in Diffusion MRI,
MedImg(32), No. 6, 2013, pp. 969-982.
IEEE DOI 1307
Solid modeling; Brain; tractography BibRef

Zhang, X., Schmitter, S., van de Moortele, P.F., Liu, J., He, B.,
From Complex B_1 Mapping to Local SAR Estimation for Human Brain MR Imaging Using Multi-Channel Transceiver Coil at 7T,
MedImg(32), No. 6, 2013, pp. 1058-1067.
IEEE DOI 1307
Head; Magnetic resonance imaging; magnetic resonance imaging (MRI); BibRef

Liu, J., van de Moortele, P.F., Zhang, X., Wang, Y., He, B.,
Simultaneous Quantitative Imaging of Electrical Properties and Proton Density From B_1 Maps Using MRI,
MedImg(35), No. 9, September 2016, pp. 2064-2073.
IEEE DOI 1609
Load modeling BibRef

Gilanie, G.[Ghulam], Attique, M.[Muhammad], Hafeez-Ullah, Naweed, S.[Shahid], Ahmed, E.[Ejaz], Ikram, M.[Masroor],
Object extraction from T2 weighted brain MR image using histogram based gradient calculation,
PRL(34), No. 12, 1 September 2013, pp. 1356-1363.
Elsevier DOI 1306
Magnetic resonance imaging; Object extraction; Cerebrospinal fluid; Gray matter; White matter BibRef

O'Brien, K., Daducci, A., Kickler, N., Lazeyras, F., Gruetter, R., Feiweier, T., Krueger, G.,
3-D Residual Eddy Current Field Characterisation: Applied to Diffusion Weighted Magnetic Resonance Imaging,
MedImg(32), No. 8, 2013, pp. 1515-1525.
IEEE DOI 1308
Brain BibRef

Rouchdy, Y.[Youssef], Cohen, L.D.[Laurent D.],
Geodesic voting for the automatic extraction of tree structures. Methods and applications,
CVIU(117), No. 10, 2013, pp. 1453-1467.
Elsevier DOI 1309
BibRef
Earlier:
The shading zone problem in geodesic voting and its solutions for the segmentation of tree structures. Application to the segmentation of Microglia extensions,
MMBIA09(66-71).
IEEE DOI 0906
BibRef
Earlier:
Image segmentation by geodesic voting. Application to the extraction of tree structures from confocal microscope images,
ICPR08(1-5).
IEEE DOI 0812
Geodesic voting BibRef

Cohen, L.D.,
Geodesic methods for biomedical image segmentation,
IPTA14(1-1)
IEEE DOI 1503
differential geometry BibRef

Iftikhar, M.A.[Muhammad Aksam], Jalil, A.[Abdul], Rathore, S.[Saima], Ali, A.[Ahmad], Hussain, M.[Mutawarra],
Brain MRI denoising and segmentation based on improved adaptive nonlocal means,
IJIST(23), No. 3, 2013, pp. 235-248.
DOI Link 1309
nonlocal means, adaptive, denoizing, brain MRI, segmentation BibRef

Iftikhar, M.A.[Muhammad Aksam], Jalil, A.[Abdul], Rathore, S.[Saima], Ali, A.[Ahmad], Hussain, M.[Mutawarra],
An extended non-local means algorithm: Application to brain MRI,
IJIST(24), No. 4, 2014, pp. 293-305.
DOI Link 1411
nonlocal means, denoising, brain MRI, Rician noise, wavelet BibRef

Iftikhar, M.A.[Muhammad Aksam], Jalil, A.[Abdul], Rathore, S.[Saima], Hussain, M.[Mutawarra],
Robust brain MRI denoising and segmentation using enhanced non-local means algorithm,
IJIST(24), No. 1, 2014, pp. 52-66.
DOI Link 1403
non-local means, denoising, brain MRI, segmentation, Rician noise BibRef

Lee, J.[Jungsoo], Kim, D.S.[Dae-Shik],
Divide et impera: Acceleration of DTI tractography using multi-GPU parallel processing,
IJIST(23), No. 3, 2013, pp. 256-264.
DOI Link 1309
tractography, GPU parallel processing BibRef

Saritha, M., Joseph, K.P.[K. Paul], Mathew, A.T.[Abraham T.],
Classification of MRI brain images using combined wavelet entropy based spider web plots and probabilistic neural network,
PRL(34), No. 16, 2013, pp. 2151-2156.
Elsevier DOI 1310
Magnetic resonance imaging (MRI) BibRef

Priya, R.K.[R. Krishna], Thangaraj, C., Kesavadas, C., Kannan, S.,
Fuzzy entropy-based MR brain image segmentation using modified particle swarm optimization,
IJIST(23), No. 4, 2013, pp. 281-288.
DOI Link 1312
fuzzy entropy, Magnetic Resonance Image, Fuzzy Membership function BibRef

Bianchi, A.[Anthony], Bhanu, B.[Bir], Donovan, V.[Virginia], Obenaus, A.[Andre],
Visual and Contextual Modeling for the Detection of Repeated Mild Traumatic Brain Injury,
MedImg(33), No. 1, January 2014, pp. 11-22.
IEEE DOI 1402
BibRef
And:
Detecting mild traumatic brain injury using dynamic low level context,
ICIP13(1167-1171)
IEEE DOI 1402
BibRef
Earlier:
Contextual and visual modeling for detection of mild traumatic brain injury in MRI,
ICIP12(1261-1264).
IEEE DOI 1302
biomedical MRI BibRef

Jafarian, N.[Nassim], Kazemi, K.[Kamran], Abrishami Moghaddam, H.[Hamid], Grebe, R.[Reinhard], Fournier, M.[Marc], Helfroush, M.S.[Mohamad Sadegh], Gondry-Jouet, C.[Catherine], Wallois, F.[Fabrice],
Automatic segmentation of newborns' skull and fontanel from CT data using model-based variational level set,
SIViP(8), No. 2, February 2014, pp. 377-387.
Springer DOI 1402
BibRef

Bhadauria, H.S., Dewal, M.L.,
Intracranial hemorrhage detection using spatial fuzzy c-mean and region-based active contour on brain CT imaging,
SIViP(8), No. 2, February 2014, pp. 357-364.
WWW Link. 1402
BibRef

Ribbens, A., Hermans, J., Maes, F., Vandermeulen, D., Suetens, P.,
Unsupervised Segmentation, Clustering, and Groupwise Registration of Heterogeneous Populations of Brain MR Images,
MedImg(33), No. 2, February 2014, pp. 201-224.
IEEE DOI 1403
biomedical MRI BibRef

Kim, Y., Tagare, H.,
Intensity Nonuniformity Correction for Brain MR Images with Known Voxel Classes,
SIIMS(7), No. 1, 2014, pp. 528-557.
DOI Link 1404
BibRef

Martinez, M., Villagra, F., Loayza, F., Vidorreta, M., Arrondo, G., Luis, E., Diaz, J., Echeverria, M., Fernandez-Seara, M.A., Pastor, M.A.,
MRI-Compatible Device for Examining Brain Activation Related to Stepping,
MedImg(33), No. 5, May 2014, pp. 1044-1053.
IEEE DOI 1405
Blood oxygen measurements BibRef

Tittmann, M.[Mandy], Günther, T.[Thomas], Sacher, J.[Julia], Himmerich, H.[Hubertus], Villringer, A.[Arno], Hegerl, U.[Ulrich], Schönknecht, P.[Peter],
Structural brain changes in early-onset and late-onset depression: An update of volumetric MRI findings,
IJIST(24), No. 2, 2014, pp. 149-160.
DOI Link 1405
MRI BibRef

Dong, F.F.[Fang-Fang], Peng, J.L.[Jia-Lin],
Brain MR image segmentation based on local Gaussian mixture model and nonlocal spatial regularization,
JVCIR(25), No. 5, 2014, pp. 827-839.
Elsevier DOI 1406
MR image BibRef

Moreno, J.C.[Juan C.], Prasath, V.B.S.[V.B. Surya], Proença, H.[Hugo], Palaniappan, K.,
Fast and globally convex multiphase active contours for brain MRI segmentation,
CVIU(125), No. 1, 2014, pp. 237-250.
Elsevier DOI 1406
Image segmentation BibRef

Kuncheva, L.I.[Ludmila I.], Martínez-Rego, D.[David], Yuen, K.S.L.[Kenneth S. L.], Linden, D.E.J.[David E. J.], Johnston, S.J.[Stephen J.],
A spatial discrepancy measure between voxel sets in brain imaging,
SIViP(8), No. 5, July 2014, pp. 913-922.
Springer DOI 1407
BibRef

Oguz, I., Sonka, M.,
LOGISMOS-B: Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces for the Brain,
MedImg(33), No. 6, June 2014, pp. 1220-1235.
IEEE DOI 1407
Image reconstruction BibRef

Kong, Y., Deng, Y., Dai, Q.,
Discriminative Clustering and Feature Selection for Brain MRI Segmentation,
SPLetters(22), No. 5, May 2015, pp. 573-577.
IEEE DOI 1411
Educational institutions BibRef

Ou, Y.M.[Yang-Ming], Akbari, H., Bilello, M., Da, X.[Xiao], Davatzikos, C.,
Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights,
MedImg(33), No. 10, October 2014, pp. 2039-2065.
IEEE DOI 1411
biomedical MRI BibRef

Verma, H.[Hanuman], Agrawal, R.K.[Ramesh K.], Kumar, N.[Naveen],
Improved fuzzy entropy clustering algorithm for MRI brain image segmentation,
IJIST(24), No. 4, 2014, pp. 277-283.
DOI Link 1411
fuzzy entropy clustering BibRef

Thapaliya, K.[Kiran], Kwon, G.R.[Goo-Rak],
Identification and extraction of brain tumor from MRI using local statistics of Zernike moments,
IJIST(24), No. 4, 2014, pp. 284-292.
DOI Link 1411
Zernike polynomial BibRef

Kalaiselvi, T., Nagaraja, P.,
A rapid automatic brain tumor detection method for MRI images using modified minimum error thresholding technique,
IJIST(25), No. 1, 2015, pp. 77-85.
DOI Link 1502
brain tumor, clustering, segmentation, thresholding, Fuzzy c-means BibRef

Choi, P.T.[Pui Tung], Lam, K.C.[Ka Chun], Lui, L.M.[Lok Ming],
FLASH: Fast Landmark Aligned Spherical Harmonic Parameterization for Genus-0 Closed Brain Surfaces,
SIIMS(8), No. 1, 2015, pp. 67-94.
DOI Link 1503
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Choi, G.P.T.[Gary Pui-Tung], Ho, K.T.[Kin Tat], Lui, L.M.[Lok Ming],
Spherical Conformal Parameterization of Genus-0 Point Clouds for Meshing,
SIIMS(9), No. 4, 2016, pp. 1582-1618.
DOI Link 1612
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Kim, J.[Jaeil], Valdés Hernández, M.D.C.[Maria Del C.], Royle, N.A., Park, J.[Jinah],
Hippocampal Shape Modeling Based on a Progressive Template Surface Deformation and its Verification,
MedImg(34), No. 6, June 2015, pp. 1242-1261.
IEEE DOI 1506
biomedical MRI BibRef

Zhang, Y.D.[Yu-Dong], Dong, Z.C.[Zheng-Chao], Ji, G.L.[Gen-Lin], Wang, S.H.[Shui-Hua],
Effect of spider-web-plot in MR brain image classification,
PRL(62), No. 1, 2015, pp. 14-16.
Elsevier DOI 1507
Magnetic resonance imaging BibRef

Rajalakshmi, N.[Natarajan], Prabha, V.L.[Viswanathan Lakshmi],
MRI brain image classification: a hybrid approach,
IJIST(25), No. 3, 2015, pp. 226-244.
DOI Link 1509
magnetic resonance imaging (MRI) BibRef

Chung, M.K., Hanson, J.L., Ye, J., Davidson, R.J., Pollak, S.D.,
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry,
MedImg(34), No. 9, September 2015, pp. 1928-1939.
IEEE DOI 1509
Brain modeling BibRef

Becker, H., Albera, L., Comon, P., Gribonval, R., Wendling, F., Merlet, I.,
Brain-Source Imaging: From sparse to tensor models,
SPMag(32), No. 6, November 2015, pp. 100-112.
IEEE DOI 1511
Biomedical signal processing BibRef

Zhang, Y.D.[Yu-Dong], Chen, S.[Shufang], Wang, S.H.[Shui-Hua], Yang, J.F.[Jian-Fei], Phillips, P.[Preetha],
Magnetic resonance brain image classification based on weighted-type fractional Fourier transform and nonparallel support vector machine,
IJIST(25), No. 4, 2015, pp. 317-327.
DOI Link 1512
magnetic resonance imaging BibRef

Reiche, B.[Brittany], Moody, A.R.[Alan R.], Khademi, A.[April],
Effect of image standardization on FLAIR MRI for brain extraction,
SIViP(9), No. 1 Supp, December 2015, pp. 11-16.
WWW Link. 1601
BibRef

Fuster, A.[Andrea], Haije, T.D.[Tom Dela], Tristán-Vega, A.[Antonio], Plantinga, B.[Birgit], Westin, C.F.[Carl-Fredrik], Florack, L.[Luc],
Adjugate Diffusion Tensors for Geodesic Tractography in White Matter,
JMIV(54), No. 1, January 2016, pp. 1-14.
Springer DOI 1601
BibRef

Li, J., Shi, Y., Toga, A.W.,
Mapping Brain Anatomical Connectivity Using Diffusion Magnetic Resonance Imaging: Structural connectivity of the human brain,
SPMag(33), No. 3, May 2016, pp. 36-51.
IEEE DOI 1605
Biomedical image processing BibRef

Agnello, L.[Luca], Comelli, A.[Albert], Ardizzone, E.[Edoardo], Vitabile, S.[Salvatore],
Unsupervised tissue classification of brain MR images for voxel-based morphometry analysis,
IJIST(26), No. 2, 2016, pp. 136-150.
DOI Link 1606
voxel-based morphometry BibRef

Chen, Y.J.[Yun-Jie], Zhang, H.[Hui], Zheng, Y.[Yuhui], Jeon, B.W.[Byeung-Woo], Wu, Q.M.J.[Q.M. Jonathan],
An improved anisotropic hierarchical fuzzy c-means method based on multivariate student t-distribution for brain MRI segmentation,
PR(60), No. 1, 2016, pp. 778-792.
Elsevier DOI 1609
Anisotropic spatial information BibRef

Bao, L., Li, X., Cai, C., Chen, Z., van Zijl, P.C.M.,
Quantitative Susceptibility Mapping Using Structural Feature Based Collaborative Reconstruction (SFCR) in the Human Brain,
MedImg(35), No. 9, September 2016, pp. 2040-2050.
IEEE DOI 1609
Collaboration BibRef

Marami, B., Scherrer, B., Afacan, O., Erem, B., Warfield, S.K., Gholipour, A.,
Motion-Robust Diffusion-Weighted Brain MRI Reconstruction Through Slice-Level Registration-Based Motion Tracking,
MedImg(35), No. 10, October 2016, pp. 2258-2269.
IEEE DOI 1610
Image reconstruction BibRef

Zhang, J.P.[Jin-Peng], Zhang, L.[Lichi], Xiang, L.[Lei], Shao, Y.[Yeqin], Wu, G.R.[Guo-Rong], Zhou, X.D.[Xiao-Dong], Shen, D.G.[Ding-Gang], Wang, Q.[Qian],
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution,
PR(63), No. 1, 2017, pp. 531-541.
Elsevier DOI 1612
Brain atlas BibRef

Zhang, Y., Shi, F., Wu, G., Wang, L., Yap, P.T., Shen, D.,
Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains,
MedImg(35), No. 12, December 2016, pp. 2568-2577.
IEEE DOI 1612
Brain modeling BibRef

Tan, L., McGarry, M.D.J., Van Houten, E.E.W., Ji, M., Solamen, L., Weaver, J.B., Paulsen, K.D.,
Gradient-Based Optimization for Poroelastic and Viscoelastic MR Elastography,
MedImg(36), No. 1, January 2017, pp. 236-250.
IEEE DOI 1701
Brain modeling BibRef

Jeong, W.C., Sajib, S.Z.K., Katoch, N., Kim, H.J., Kwon, O.I., Woo, E.J.,
Anisotropic Conductivity Tensor Imaging of In Vivo Canine Brain Using DT-MREIT,
MedImg(36), No. 1, January 2017, pp. 124-131.
IEEE DOI 1701
Conductivity BibRef

Alchatzidis, S.[Stavros], Sotiras, A.[Aristeidis], Zacharaki, E.I.[Evangelia I.], Paragios, N.[Nikos],
A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation,
IJCV(121), No. 1, January 2017, pp. 169-181.
Springer DOI 1702
BibRef
Earlier: A1, A2, A4, Only:
Discrete Multi Atlas Segmentation using Agreement Constraints,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Demirhan, A.[Ayse],
Neuroimage-based clinical prediction using machine learning tools,
IJIST(27), No. 1, 2017, pp. 89-97.
DOI Link 1704
structural brain MR images BibRef

Sophia, P.E.[P. Eben], Anitha, J.,
A hybrid contextual compression technique using wavelet and contourlet transforms with PSO optimized prediction,
IJIST(27), No. 2, 2017, pp. 171-181.
DOI Link 1706
contextual compression, contourlet transform, magnetic resonance imaging brain image, optimized prediction, wavelet, transform BibRef

Mohammadi-Nejad, A.R., Hossein-Zadeh, G.A., Soltanian-Zadeh, H.,
Structured and Sparse Canonical Correlation Analysis as a Brain-Wide Multi-Modal Data Fusion Approach,
MedImg(36), No. 7, July 2017, pp. 1438-1448.
IEEE DOI 1707
Correlation, Covariance matrices, Data integration, Magnetic resonance imaging, Neuroimaging, Standards, ADNI, canonical correlation analysis (CCA), magnetic resonance imaging (MRI), multi-modal data fusion, multivariate, analysis BibRef

Saladi, S.[Saritha], Prabha, N.A.[N. Amutha],
Analysis of denoising filters on MRI brain images,
IJIST(27), No. 3, 2017, pp. 201-208.
DOI Link 1708
bilateral filter, denoising, MRI brain, NLM, PCA, , SANLM BibRef

Osadebey, M.[Michael], Pedersen, M.[Marius], Arnold, D.[Douglas], Wendel-Mitoraj, K.[Katrina],
No-reference quality measure in brain MRI images using binary operations, texture and set analysis,
IET-IPR(11), No. 9, September 2017, pp. 672-684.
DOI Link 1709
BibRef

Namburu, A.[Anupama], Samayamantula, S.K.[Srinivas Kumar], Edara, S.R.[Srinivasa Reddy],
Generalised rough intuitionistic fuzzy c-means for magnetic resonance brain image segmentation,
IET-IPR(11), No. 9, September 2017, pp. 777-785.
DOI Link 1709
BibRef

Mohseni Salehi, S.S., Erdogmus, D., Gholipour, A.,
Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging,
MedImg(36), No. 11, November 2017, pp. 2319-2330.
IEEE DOI 1711
Context, Feature extraction, Image segmentation, Magnetic resonance imaging, BibRef


Nguyen, D.M.H.[Duy M. H.], Vu, H.T.[Huy T.], Ung, H.Q.[Huy Q.], Nguyen, B.T.[Binh T.],
3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture Model,
WACV17(815-824)
IEEE DOI 1609
Biological neural networks, Brain modeling, Image segmentation, Magnetic resonance imaging, Testing, Three-dimensional, displays BibRef

Damseh, R.[Rafat], Ahmad, M.O.[M. Omair],
Curvelet-Based Classification of Brain MRI Images,
ICIAR17(446-454).
Springer DOI 1706
BibRef

Al-Dmour, H., Al-Ani, A.,
MR Brain Image Segmentation Based on Unsupervised and Semi-Supervised Fuzzy Clustering Methods,
DICTA16(1-7)
IEEE DOI 1701
Biomedical imaging BibRef

Ferrari, R.J., Pinto, C.H.V., Moreira, C.A.F.,
Detection of the midsagittal plane in MR images using a sheetness measure from eigenanalysis of local 3D phase congruency responses,
ICIP16(2335-2339)
IEEE DOI 1610
Brain BibRef

González-Castro, V.[Víctor], Valdés Hernández, M.D.C.[María Del C.], Armitage, P.A.[Paul A.], Wardlaw, J.M.[Joanna M.],
Automatic Rating of Perivascular Spaces in Brain MRI Using Bag of Visual Words,
ICIAR16(642-649).
Springer DOI 1608
BibRef

Auria, A., Romascano, D., Canales-Rodriguen, E., Wiaux, Y., Dirby, T.B., Alexander, D., Thiran, J.P., Daducci, A.,
Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx),
ICIP15(1673-1676)
IEEE DOI 1512
convex optimisation; diffusion MRI; microstructure imaging BibRef

Ismail, M., Mostapha, M., Soliman, A., Nitzken, M., Khalifa, F., Elnakib, A., Gimel'farb, G., Casanova, M.F., El-Baz, A.,
Segmentation of infant brain MR images based on adaptive shape prior and higher-order MGRF,
ICIP15(4327-4331)
IEEE DOI 1512
Adaptive Shape; Higher Order MGRF; Infant Brain Segmentation BibRef

Bai, X.Z.[Xiang-Zhi], Chen, Z.G.[Zhi-Guo], Liu, M.[Miaoming], Zhang, Y.[Yu],
Center-free PFCM for MRI brain image segmentation,
ICIP15(656-660)
IEEE DOI 1512
Center-Free BibRef

Mostapha, M.[Mahmoud], Casanova, M.F.[Manuel F.], El-Baz, A.[Ayman],
A novel framework for the segmentationof mrinfant brain images,
ICIP15(88-92)
IEEE DOI 1512
DTI; Infant; Subject-specific atlas; Tissue segmentation BibRef

Roy, S., Maji, P.,
A simple skull stripping algorithm for brain MRI,
ICAPR15(1-6)
IEEE DOI 1511
biomedical MRI BibRef

Dubey, Y.K., Mushrif, M.M.,
Intuitionistic fuzzy roughness measure for segmentation of brain MR images,
ICAPR15(1-6)
IEEE DOI 1511
brain BibRef

Phophalia, A.[Ashish], Mitra, S.K.[Suman K.],
Rician Noise Removal Approach for Brain MR Images Using Kernel Principal Component Analysis,
PReMI15(545-553).
Springer DOI 1511
BibRef

Cabria, I.[Ivan], Gondra, I.[Iker],
Automated Localization of Brain Tumors in MRI Using Potential-K-Means Clustering Algorithm,
CRV15(125-132)
IEEE DOI 1507
Biomedical imaging BibRef

Minervini, M., Damiano, M., Tucci, V., Bifone, A., Gozzi, A., Tsaftaris, S.A.,
Mouse neuroimaging phenotyping in the cloud,
IPTA12(55-60)
IEEE DOI 1503
biomedical MRI BibRef

Mostapha, M.[Mahmoud], Soliman, A.[Ahmed], Khalifa, F.[Fahmi], Elnakib, A.[Ahmed], Alansary, A.[Amir], Nitzken, M.[Matthew], Casanova, M.F.[Manuel F.], El-Baz, A.[Ayman],
A statistical framework for the classification of infant DT images,
ICIP14(2222-2226)
IEEE DOI 1502
Adaptation models infant diffusion tensor images BibRef

Xu, N.[Nan], Spreng, R.N.[R.Nathan], Doerschuk, P.C.[Peter C.],
Directed interactivity of large-scale brain networks: Introducing a new method for estimating resting-state effective connectivity MRI,
ICIP14(3508-3512)
IEEE DOI 1502
Computational modeling BibRef

Boubchir, L.[Larbi], Rousseau, F.[Francois],
Unsupervised white matter fiber tracts clustering methodology with application on brain MRI data,
ICIP14(1872-1876)
IEEE DOI 1502
Clustering algorithms BibRef

Nataraj, G.[Gopal], Nielsen, J.F.[Jon-Fredrik], Fessier, J.A.[Jeffrey A.],
Model-based estimation of T2 maps with dual-echo steady-state MR imaging,
ICIP14(1877-1881)
IEEE DOI 1502
Accuracy BibRef

Sjolund, J.[Jens], Jarlideni, A.E.[Andreas Eriksson], Andersson, M.[Mats], Knutsson, H.[Hans], Nordstrom, H.[Hakan],
Skull Segmentation in MRI by a Support Vector Machine Combining Local and Global Features,
ICPR14(3274-3279)
IEEE DOI 1412
Bones BibRef

Cardenas-Pena, D., Orbes-Arteaga, M., Castro-Ospina, A., Alvarez-Meza, A., Castellanos-Dominguez, G.,
A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering,
ICPR14(3203-3208)
IEEE DOI 1412
Brain modeling BibRef

Cárdenas-Peña, D., Álvarez-Meza, A.M., Castellanos-Domínguez, G.[Germán],
Kernel-Based Image Representation for Brain MRI Discrimination,
CIARP14(343-350).
Springer DOI 1411
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Roy, S.[Snehashis], Carass, A.[Aaron], Prince, J.L.[Jerry L.], Pham, D.L.[Dzung L.],
Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation,
MLMI14(248-255).
Springer DOI 1410
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Ma, G.K.[Guang-Kai], Gao, Y.Z.[Yao-Zong], Wang, L.[Li], Wu, L.G.[Li-Gang], Shen, D.G.[Ding-Gang],
Soft-Split Random Forest for Anatomy Labeling,
MLMI15(17-25).
Springer DOI 1511
BibRef

Ma, G.K.[Guang-Kai], Gao, Y.Z.[Yao-Zong], Wu, G.R.[Guo-Rong], Wu, L.G.[Li-Gang], Shen, D.G.[Ding-Gang],
Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling,
MCV14(97-104).
Springer DOI 1501
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Zhang, P.[Pei], Wu, G.R.[Guo-Rong], Gao, Y.[Yaozong], Yap, P.T.[Pew-Thian], Shen, D.G.[Ding-Gang],
Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation,
MCV15(137-145).
Springer DOI 1608
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Zhang, L.[Lichi], Wang, Q.[Qian], Gao, Y.Z.[Yao-Zong], Wu, G.R.[Guo-Rong], Shen, D.G.[Ding-Gang],
Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images,
MLMI14(323-330).
Springer DOI 1410
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Ge, H.K.[Hong-Kun], Wu, G.R.[Guo-Rong], Wang, L.[Li], Gao, Y.Z.[Yao-Zong], Shen, D.G.[Ding-Gang],
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations,
MLMI15(203-211).
Springer DOI 1511
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Phellan, R.[Renzo], Falcão, A.X.[Alexandre X.], Udupa, J.K.[Jayaram K.],
Improving Atlas-Based Medical Image Segmentation with a Relaxed Object Search,
CompIMAGE14(152-163).
Springer DOI 1407
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Chan, S.L.S., Gal, Y., Jeffree, R.L., Fay, M., Thomas, P., Crozier, S., Yang, Z.Y.[Zheng-Yi],
Automated Classification of Bone and Air Volumes for Hybrid PET-MRI Brain Imaging,
DICTA13(1-8)
IEEE DOI 1402
biomedical MRI BibRef

Mogali, J.K.[Jayanth Krishna], Nallapareddy, N.[Naren], Seelamantula, C.S.[Chandra Sekhar], Unser, M.[Michael],
A shape-template based two-stage corpus callosum segmentation technique for sagittal plane T1-weighted brain magnetic resonance images,
ICIP13(1177-1181)
IEEE DOI 1402
Biomedical imaging BibRef

Miranda, P.A.V.[Paulo A.V.], Cappabianco, F.A.M.[Fabio A.M.], Ide, J.S.[Jaime S.],
A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images,
ICIP13(675-679)
IEEE DOI 1402
Biomedical imaging BibRef

Tohka, J.[Jussi],
FAST-PVE: Extremely Fast Markov Random Field Based Brain MRI Tissue Classification,
SCIA13(266-276).
Springer DOI 1311
BibRef

Georgieva, P.[Petia], Bouaynaya, N.[Nidhal], Mihaylova, L.[Lyudmila], Silva, F.[Filipe],
Bayesian Approach for Reconstruction of Moving Brain Dipoles,
ICIAR13(565-572).
Springer DOI 1307
BibRef

Kuijf, H.J.[Hugo J.], Viergever, M.A.[Max A.], Vincken, K.L.[Koen L.],
Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images,
MCVM12(225-232).
Springer DOI 1305
BibRef

Zhang, Z.P.[Zhan-Peng], Zhu, Q.S.[Qing-Song], Xie, Y.Q.[Yao-Qin],
MRI segmentation of brain tissue based on spatial prior and neighboring pixels affinities,
ICPR12(89-92).
WWW Link. 1302
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Kovacs, A.[Andrea], Sziranyi, T.[Tamas], Barsi, P.[Peter],
Automatic detection of structural changes in single channel long time-span brain MRI images using saliency map and active contour methods,
ICIP12(1265-1268).
IEEE DOI 1302
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Wang, J.Q.[Jie-Qiong], Dai, D.[Dai], Li, M.[Meng], Hua, J.[Jing], He, H.G.[Hui-Guang],
Human Age Estimation with Surface-Based Features from MRI Images,
MLMI12(111-118).
Springer DOI 1211
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Kadoury, S.[Samuel], Erus, G.[Guray], Davatzikos, C.[Christos],
Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI,
MLMI12(94-102).
Springer DOI 1211
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Landman, B.A.[Bennett A.], Yang, X.[Xue], Kang, H.[Hakmook],
Do We Really Need Robust and Alternative Inference Methods for Brain MRI?,
MBIA12(77-93).
Springer DOI 1210
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Cao, F.[Fang], Commowick, O.[Olivier], Bannier, E.[Elise], Ferré, J.C.[Jean-Christophe], Edan, G.[Gilles], Barillot, C.[Christian],
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MBIA12(203-214).
Springer DOI 1210
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Jin, Y.[Yan], Shi, Y.G.[Yong-Gang], Zhan, L.[Liang], Li, J.[Junning], de Zubicaray, G.I.[Greig I.], McMahon, K.L.[Katie L.], Martin, N.G.[Nicholas G.], Wright, M.J.[Margaret J.], Thompson, P.M.[Paul M.],
Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases,
MBIA12(147-156).
Springer DOI 1210
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Silva, S.[Samuel], Teixeira, A.[António], Oliveira, C.[Catarina], Martins, P.[Paula],
Segmentation and Analysis of Vocal Tract from MidSagittal Real-Time MRI,
ICIAR13(459-466).
Springer DOI 1307
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Silva, S.[Samuel], Martins, P.[Paula], Oliveira, C.[Catarina], Silva, A.[Augusto], Teixeira, A.[António],
Segmentation and Analysis of the Oral and Nasal Cavities from MR Time Sequences,
ICIAR12(II: 214-221).
Springer DOI 1206
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Fazlollahi, A.[Amir], Meriaudeau, F.[Fabrice], Villemagne, V.L.[Victor L.], Rowe, C.C.[Christopher C.], Desmond, P.M.[Patricia M.], Yates, P.A.[Paul A.], Salvado, O.[Olivier], Bourgeat, P.[Pierrick],
Automatic detection of small spherical lesions using multiscale approach in 3D medical images,
ICIP13(1158-1162)
IEEE DOI 1402
Biomedical imaging BibRef

Wang, J.[Jiabin], Xia, Y.[Yong], Feng, D.D.,
Differential Evolution Based Variational Bayes Inference for Brain PET-CT Image Segmentation,
DICTA11(330-334).
IEEE DOI 1205
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Kurkure, U.[Uday], Le, Y.H.[Yen H.], Paragios, N.[Nikos], Ju, T.[Tao], Carson, J.P.[James P.], Kakadiaris, I.A.[Ioannis A.],
Markov Random Field-based fitting of a subdivision-based geometric atlas,
ICCV11(2540-2547).
IEEE DOI 1201
Brain structure. BibRef

Gorthi, S.[Subrahmanyam], Thiran, J.P.[Jean-Philippe], Cuadra, M.B.[Meritxell Bach],
Comparison of energy minimization methods for 3-D brain tissue classification,
ICIP11(57-60).
IEEE DOI 1201
BibRef

Elnakib, A., Nitzken, M., Casanova, M.F., Park, H.Y., Gimel'farb, G.L., El-Baz, A.,
Quantification of age-related brain cortex change using 3D shape analysis,
ICPR12(41-44).
WWW Link. 1302
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Nitzken, M., Casanova, M.F., Gimel'farb, G.L., Elnakib, A., Khalifa, F., Switala, A., El-Baz, A.,
3D shape analysis of the brain cortex with application to dyslexia,
ICIP11(2657-2660).
IEEE DOI 1201
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Ramaiah, N.P.[N. Pattabhi], Mohan, C.K.[C. Krishna],
ROI-based tissue type extraction and volume estimation in 3D brain anatomy,
ICIIP11(1-5).
IEEE DOI 1112
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Shanbhag, S.S., Udupi, G.R., Patil, K.M., Ranganath, K.,
Analysis of brain MRI images of intracerebral haemorrhage using frequency domain technique,
ICIIP11(1-5).
IEEE DOI 1112
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Farzinfar, M., Teoh, E.K.[Eam Khwang], Xue, Z.[Zhong],
Applying training hidden features to joint curve evolution for brain MRI segmentation,
ICARCV10(1187-1192).
IEEE DOI 1109
BibRef

Caldairou, B.[Benoît], Passat, N.[Nicolas], Habas, P.[Piotr], Studholme, C.[Colin], Koob, M.[Mériam], Dietemann, J.L.[Jean-Louis], Rousseau, F.[François],
Data-Driven Cortex Segmentation in Reconstructed Fetal MRI by Using Structural Constraints,
CAIP11(I: 503-511).
Springer DOI 1109
BibRef

Rajalingham, R.[Rishi], Toews, M.[Matthew], Collins, D.L.[D. Louis], Arbel, T.[Tal],
Exploring Cortical Folding Pattern Variability Using Local Image Features,
MCV10(43-53).
Springer DOI 1009
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Boucher, M.[Maxime], Evans, A.[Alan], Siddiqi, K.[Kaleem],
A Texture Manifold for Curve-Based Morphometry of the Cerebral Cortex,
MCV10(174-183).
Springer DOI 1009
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Collins, M.D.[Maxwell D.], Singh, V.[Vikas], Alexander, A.L.[Andrew L.],
Network Connectivity via Inference over Curvature-Regularizing Line Graphs,
ACCV10(I: 65-78).
Springer DOI 1011
Award, ACCV Best Application Paper. Diffusion tensor imaging. BibRef

Farag, A.[Ahmed], Elhabian, S.Y.[Shireen Y.], Abdelrahman, M.A.[Mostafa A.], Graham, J.[James], Farag, A.A.[Aly A.], Chen, D.Q.[Dong-Qing], Casanova, M.F.[Manuel F.],
Surface Modeling of the Corpus Callosum from MRI Scans,
ISVC10(III: 9-18).
Springer DOI 1011
BibRef

Xia, Y.[Yong], Eberl, S.[Stefan], Feng, D.[Dagan],
Dual-modality 3D brain PET-CT image segmentation based on probabilistic brain atlas and classification fusion,
ICIP10(2557-2560).
IEEE DOI 1009
BibRef

Chen, W.[Wenan], Najarian, K.[Kayvan], Ward, K.[Kevin],
Actual Midline Estimation from Brain CT Scan Using Multiple Regions Shape Matching,
ICPR10(2552-2555).
IEEE DOI 1008
BibRef

Kasiri, K.[Keyvan], Kazemi, K.[Kamran], Dehghani, M.J.[Mohammad Javad], Helfroush, M.S.[Mohammad Sadegh],
Atlas-based segmentation of brain MR images using least square support vector machines,
IPTA10(306-310).
IEEE DOI 1007
BibRef

Saha, S.[Somojit], Das, S.K.[Sarit Kumar], Kar, A.[Avijit],
A new segmentation technique for brain and head from high resolution MR image using unique histogram features,
IPTA10(288-293).
IEEE DOI 1007
BibRef

Kartaszynski, R.H.[Rafal Henryk], Mikolajczak, P.[Pawel],
MRI Brain Segmentation Using Cellular Automaton Approach,
ICCVG10(II: 17-24).
Springer DOI 1009
BibRef

Demir, A.[Ali], Unal, G.[Gozde], Karaman, K.[Kutlay],
Anatomical Landmark Based Registration of Contrast Enhanced T1-Weighted MR Images,
WBIR10(91-103).
Springer DOI 1007
BibRef

Chen, W.[Wenan], Smith, R.[Rebecca], Nabizadeh, N.[Nooshin], Ward, K.[Kevin], Cockrell, C.[Charles], Ha, J.[Jonathan], Najarian, K.[Kayvan],
Texture Analysis of Brain CT Scans for ICP Prediction,
ICISP10(568-575).
Springer DOI 1006
BibRef

Metwally, M.K.[Mohamed K.], El-Gayar, N.[Neamat], Osman, N.F.[Nael F.],
Improved Technique to Detect the Infarction in Delayed Enhancement Image Using K-Mean Method,
ICIAR10(II: 108-119).
Springer DOI 1006
BibRef

Dutailly, B.[Bruno], Coqueugniot, H.[Helene], Desbarats, P.[Pascal], Gueorguieva, S.[Stefka], Synave, R.[Remi],
3D surface reconstruction using HMH algorithm,
ICIP09(2505-2508).
IEEE DOI 0911
BibRef

Gong, T.X.[Tian-Xia], Li, S.M.[Shi-Miao], Tan, C.L.[Chew Lim], Pang, B.C.[Boon Chuan], Lim, C.C.T.[C.C. Tchoyoson], Lee, C.K.[Cheng Kiang], Tian, Q.[Qi], Zhang, Z.[Zhuo],
Automatic Pathology Annotation on Medical Images: A Statistical Machine Translation Framework,
ICPR10(2504-2507).
IEEE DOI 1008
BibRef

Gong, T.X.[Tian-Xia], Li, S.M.[Shi-Miao], Wang, J.[Jie], Tan, C.L.[Chew Lim], Pang, B.C.[Boon Chuan], Lim, C.C.T.[C. C. Tchoyoson], Lee, C.K.[Cheng Kiang], Tian, Q.[Qi], Zhang, Z.[Zhuo],
Automatic labeling and classification of brain CT images,
ICIP11(1581-1584).
IEEE DOI 1201
BibRef

Liu, R.[Ruizhe], Li, S.M.[Shi-Miao], Tan, C.L.[Chew Lim], Pang, B.C.[Boon Chuan], Lim, C.C.T.[C. C. Tchoyoson], Lee, C.K.[Cheng Kiang], Tian, Q.[Qi], Zhang, Z.[Zhuo],
Fast traumatic brain injury CT slice indexing via anatomical feature classification,
ICIP10(4377-4380).
IEEE DOI 1009
BibRef
Earlier:
From hemorrhage to midline shift: A new method of tracing the deformed midline in traumatic brain injury CT images,
ICIP09(2637-2640).
IEEE DOI 0911
BibRef

Liu, R.[Ruizhe], Tan, C.L.[Chew Lim], Leong, T.Y.[Tze Yun], Lee, C.K.[Cheng Kiang], Pang, B.C.[Boon Chuan], Lim, C.C.T.[C. C. Tchoyoson], Tian, Q.[Qi], Tang, S.S.[Sui-Sheng], Zhang, Z.[Zhuo],
Hemorrhage slices detection in brain CT images,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Waddell, C., Pratt, J.A., Porr, B., Ewing, S.,
Deep Brain Stimulation Artifact Removal Through Under-Sampling and Cubic-Spline Interpolation,
CISP09(1-5).
IEEE DOI 0910
BibRef

Sun, Y.[Yu], Bhanu, B.[Bir],
3D Filtering for Injury Detection in Brain MRI,
ICPR10(2568-2571).
IEEE DOI 1008
BibRef

Sun, Y.[Yu], Bhanu, B.[Bir], Bhanu, S.[Shiv],
Symmetry-integrated injury detection for brain MRI,
ICIP09(661-664).
IEEE DOI 0911
BibRef
And:
Automatic symmetry-integrated brain injury detection in MRI sequences,
MMBIA09(79-86).
IEEE DOI 0906
BibRef

Sun, Y.[Yu], Bhanu, B.[Bir],
Symmetry integrated region-based image segmentation,
CVPR09(826-831).
IEEE DOI 0906
BibRef

Shi, F.[Feng], Yap, P.T.[Pew-Thian], Fan, Y.[Yong], Cheng, J.Z.[Jie-Zhi], Wald, L.L.[Lawrence L.], Gerig, G.[Guido], Lin, W.L.[Wei-Li], Shen, D.G.[Ding-Gang],
Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil,
MMBIA09(39-45).
IEEE DOI 0906
BibRef

Flores-Tapia, D.[Daniel], Thomas, G.[Gabriel], McCurdy, B.[Boyd], Pistorius, S.[Stephen],
Brain MRI Segmentation Based on the Rényi's Fractal Dimension,
ICIAR09(737-748).
Springer DOI 0907
BibRef

El-Baz, A., Casanova, M., Gimel'farb, G.L., Mott, M., Switala, A., Vanbogaert, E., McCracken, R.,
A New CAD System for Early Diagnosis of Dyslexic Brains,
ICIP08(1820-1823).
IEEE DOI 0810
See also Automatic analysis of 3D low dose CT images for early diagnosis of lung cancer. BibRef

Machucho-Cadena, R.[Ruben], Moya-Sánchez, E.[Eduardo], de la Cruz-Rodríguez, S.[Sergio], Bayro-Corrochano, E.[Eduardo],
Use of Ultrasound and Computer Vision for 3D Reconstruction,
CIARP09(782-789).
Springer DOI 0911
BibRef

Machucho-Cadena, R.[Ruben], de la Cruz-Rodríguez, S.[Sergio], Bayro-Corrochano, E.[Eduardo],
Joint Freehand Ultrasound and Endoscopic Reconstruction of Brain Tumors,
CIARP08(691-698).
Springer DOI 0809
BibRef

Rousseau, F.[François],
Brain Hallucination,
ECCV08(I: 497-508).
Springer DOI 0810
Generate high resolution brain image from low resolution images. BibRef

Chung, M.K.[Moo K.], Kelley, D.J.[Daniel J.], Dalton, K.M.[Kim M.], Davidon, R.J.[Richard J.],
Quantifying cortical surface asymmetry via logistic discriminant analysis,
MMBIA08(1-8).
IEEE DOI 0806
BibRef

Woodbeck, K.[Kris], Roth, G.[Gerhard], Chen, H.Q.[Hui-Qiong],
Visual cortex on the GPU: Biologically inspired classifier and feature descriptor for rapid recognition,
CVGPU08(1-8).
IEEE DOI 0806
BibRef

Duda, J.[Jeffrey], Avants, B.[Brian], Kim, J.H.[Jung-Hoon], Zhang, H.[Hui], Patel, S.I.[Sun-Il], Whyte, J.[John], Gee, J.[James],
Multivariate analysis of thalamo-cortical connectivity loss in TBI,
MMBIA08(1-8).
IEEE DOI 0806
BibRef

Hurdal, M.K.[Monica K.], Gutierrez, J.B.[Juan B.], Laing, C.[Christian], Kline, A.D.[Aaron D.], Smith, D.A.[Deborah A.],
Geometric invariants for classification of cortical sulci,
ICIP08(1156-1159).
IEEE DOI 0810
BibRef

Mio, W.[Washington], Bowers, J.C.[John C.], Liu, X.W.[Xiu-Wen], Liu, X.,
Modeling Brain Anatomy with 3D Arrangements of Curves,
MMBIA07(1-8).
IEEE DOI 0710
See also Shape of Elastic Strings in Euclidean Space. BibRef

Das, S.R.[Sandhitsu R.], Avants, B.B.[Brian B.], Grossman, M.[Murray], Gee, J.C.[James C.],
Measuring Cortical Thickness Using An Image Domain Local Surface Model And Topology Preserving Segmentation,
MMBIA07(1-8).
IEEE DOI 0710
BibRef

Yu, P.[Peng], Yeo, B.T.T.[Boon Thye Thomas], Grant, P.E.[P. Ellen], Fischl, B.[Bruce], Golland, P.[Polina],
Cortical Folding Development Study based on Over-Complete Spherical Wavelets,
MMBIA07(1-8).
IEEE DOI 0710
BibRef

Liu, J.D.[Jun-Dong], Chelberg, D.[David], Smith, C.[Charles], Chebrolu, H.[Hima],
Automatic Subcortical Structure Segmentation Using Probabilistic Atlas,
ISVC07(I: 170-178).
Springer DOI 0711
BibRef

Tsai, A.[Andy], Westin, C.F.[Carl-Fredrik], Hero, A.O.[Alfred O.], Willsky, A.S.[Alan S.],
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs,
CVPR07(1-6).
IEEE DOI 0706
BibRef

Parveen, R.[Runa], Ruff, C.[Cliff], Todd-Pokropek, A.[Andrew],
Three Dimensional Tissue Classifications in MR Brain Images,
CVAMIA06(236-247).
Springer DOI 0605
BibRef

Doan, H.N.[Huy-Nam], Slabaugh, G.G., Unal, G., Fang, T.[Tong],
Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cuts,
ICIP06(1913-1916).
IEEE DOI 0610
BibRef

Barrile, V., Cacciola, M., Minniti, C., Versaci, M.,
Remote detection of cerebral pathologies in magnetic resonance imagery: an unsupervised heuristic approach,
IEVM06(xx-yy).
PDF File. 0609
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Yushkevich, P.A.[Paul A.], Avants, B.B.[Brian B.], Ng, L.[Lydia], Hawrylycz, M.[Michael], Burstein, P.D.[Pablo D.], Zhang, H.[Hui], Gee, J.C.[James C.],
3D Mouse Brain Reconstruction from Histology Using a Coarse-to-Fine Approach,
WBIR06(230-237).
Springer DOI 0607
BibRef

Maheswaran, S.[Satheesh], Barjat, H.[Hervé], Bate, S.[Simon], Hartkens, T.[Thomas], Hill, D.L.G.[Derek L. G.], James, M.F.[Michael F.], Tilling, L.[Lorna], Upton, N.[Neil], Hajnal, J.V.[Jo V.], Rueckert, D.[Daniel],
Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains,
WBIR06(58-65).
Springer DOI 0607
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Morita, K.[Keiko], Imiya, A.[Atsushi], Sakai, T.[Tomoya], Hontan, H.[Hidekata], Masutani, Y.[Yoshitaka],
The Mean Boundary Curve of Anatomical Objects,
ACIVS12(313-324).
Springer DOI 1209
BibRef

Masutani, Y.[Yoshitaka], Nemoto, M.[Mitsutaka], Hanaoka, S.[Shohei], Hayashi, N.[Naoto], Ohtomo, K.[Kuni],
Appearance Similarity Flow for Quantification of Anatomical Landmark Uncertainty in Medical Images,
ISVC12(I: 12-21).
Springer DOI 1209
BibRef

Masutani, Y.[Yoshitaka], Aoki, S.[Shigeki], Abe, O.[Osamu], Yoshida, M.[Mariko], Yamada, H.[Haruyasu], Mori, H.[Harushi], Ino, K.[Kenji], Ohtomo, K.[Kuni],
Building Statistical Atlas of White Matter Fiber Tract Based on Vector/Tensor Field Reconstruction in Diffusion Tensor MRI,
ISVC05(84-91).
Springer DOI 0512
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Gong, G.L.[Gao-Lang], Jiang, T.Z.[Tian-Zi], Xie, S.[Sheng], Lin, F.C.[Fu-Chun],
Parcellating the Intra-splenium Based on the Traced Fiber from Tractography,
CVBIA05(544-550).
Springer DOI 0601
BibRef

Castellano, G., Lotufo, R.A., Falcao, A.X., Cendes, F.,
Characterization of the Human Cortex in MR Images Through the Image Foresting Transform,
ICIP03(I: 357-360).
IEEE DOI 0312
BibRef

Pescatore, J., Garnero, L., Bloch, I.,
Tetrahedral 3D finite element meshes of head tissues from MRI for the MEG/EEG forward problem,
SCIA01(O-Tu3A). 0206
BibRef

Xue, J.H.,
Fuzzy Modeling of Knowledge for MRI Brain Structure Segmentation,
ICIP00(Vol I: 617-620).
IEEE DOI 0008
BibRef

Lohmann, G.[Gabriele], von Cramon, D.Y.[D. Yves],
Automatic Detection and Labelling of the Human Cortical Folds in Magnetic Resonance Data Sets,
ECCV98(II: 369).
Springer DOI BibRef 9800

Ripley, B.D., Marchini, J.,
Statistical Considerations in Magnetic Resonance Imaging of Brain Function,
SCIA99(Invited Talk). BibRef 9900

Saita, S., Nobuta, M., Niki, N., Nakasato, N., Yoshimoto, T.,
An Estimation Algorithm of Neuromagnetic Sources in the Cortical Region Using Realistically-Shaped Head Model,
ICIP99(III:891-895).
IEEE DOI BibRef 9900

Mino, K., Niki, N., Nakasato, N., and Yashimoto, T.,
Estimation of Neuromagnetic Source Location in the Cortical Region Using MR images,
ICIP97(III: 531-534).
IEEE DOI BibRef 9700
Earlier:
A magnetic source estimation in the cortical region,
ICIP96(II: 261-264).
IEEE DOI 9610
BibRef

Mino, K., Niki, N., Nakasato, N.,
A neuromagnetic source distribution estimation using MRI information,
ICIP95(I: 649-652).
IEEE DOI 9510
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Kumar, S.V.B., Mukhopadhyay, S., Nandedkar, V.,
A novel progressive thick slab paradigm for volumetric medical image compression and navigation,
ICIP04(III: 1899-1902).
IEEE DOI 0505
BibRef

Nakazawa, Y., Saito, T.,
Region extraction with standard brain atlas for analysis of MRI brain images,
ICIP94(I: 387-391).
IEEE DOI 9411
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Hess, A., Scheich, H.,
Three dimensional reconstructions of brains from 2-deoxyglucose serial section autoradiographs,
ICIP94(III: 290-294).
IEEE DOI 9411
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Deruyver, A., Hode, Y., Soufflet, L.,
A segmentation technique for cerebral NMR images,
ICIP94(III: 716-720).
IEEE DOI 9411
BibRef

Attwood, C.I., Sullivan, C.D., Baker, K.D.,
Recognising Cortical Sulci and Gyri in MR Images,
BMVC91(xx-yy).
PDF File. 9109
BibRef

Attwood, C.I., Sullivan, G.D., Robinson, G.P., Baker, K.D., Colchester, A.C.F.,
Model-based interpretation of anatomical structures in cranial MR images,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Brain, Cortex, Cerebral Arteries .


Last update:Nov 11, 2017 at 13:31:57