20.11.2 Segmentation, Features, Models from Magnetic Resonance Data, MRI

Chapter Contents (Back)
Magnetic Resonance. Segmentation. Three-Dimensional Models. See also Kidney Disease, Tomography, CAT Analysis, Other Methods.

Haralick, R.M., Nelson, A., Kim, Y., Anderson, P., Johnson, R., and DeSoto, L.,
Stereo and Multiplanar Video Display of 3-D Magnetic Resonance Image Data,
), JIT(15), No. 2, April, 1989, pp. 74-78. BibRef 8904

Snyder, W.E., Logenthiran, A., Santago, P., Link, K., Bilbro, G.L., Rajala, S.,
Segmentation of magnetic resonance images using mean field annealing,
IVC(10), No. 6, July-August 1992, pp. 361-368.
WWW Link. 0401
BibRef

Han, Y.S.[Youn-Sik], Snyder, W.E.[Wesley E.], Bilbro, G.L.[Griff L.],
Discontinuity-Preserving Vector Smoothing of Multivariate MR Images Using Vector Mean Field Annealing,
JMIV(9), No. 3, November 1998, pp. 199-212.
DOI Link BibRef 9811

Bezdek, J.C., Hall, L.O., Clarke, L.P.,
Review of MR image segmentation techniques using pattern recognition,
MedPhys(20), No. 4, July/August 1993, pp. 1033-1048. BibRef 9307

Toulson, D.L., Boyce, J.F.,
Segmentation of MR images using neural nets,
IVC(10), No. 5, June 1992, pp. 324-328.
WWW Link. 0401
BibRef
Earlier: BMVC91(xx-yy).
PDF File. 9109
BibRef

de Munck, J.C., Bhagwandien, R., Muller, S.H., Verster, F.C., van Herk, M.B.,
The computation of MR image distortions caused by tissue susceptibility using the boundary element method,
MedImg(15), No. 5, October 1996, pp. 620-627.
IEEE Top Reference. 0203
BibRef

Nosratinia, A., Mohsenian, N., Orchard, M.T., Liu, B.,
Interframe coding of magnetic resonance images,
MedImg(15), No. 5, October 1996, pp. 639-647.
IEEE Top Reference. 0203
BibRef
Earlier: A1, A3, A2, A4:
Interslice coding of magnetic resonance images using deformable triangular patches,
ICIP94(II: 898-902).
IEEE DOI 9411
BibRef

Orchard, M.T., Nosratinia, A., Rajagopalan, R.,
On interframe coding models for volumetric medical data,
ICIP95(II: 17-20).
IEEE DOI 9510
BibRef

Laidlaw, D.H., Fleischer, K.W., Barr, A.H.,
Partial Volume Bayesian Classification of Material Mixtures in MR Volume Data Using Voxel Histograms,
MedImg(17), No. 1, February 1998, pp. 74-86.
IEEE Top Reference. 9806
BibRef

Lelieveldt, B.P.F.[Boudewijn P. F.], Sonka, M.[Milan], Bolinger, L.[Lizann], Scholz, T.D.[Thomas D.], Kayser, H.[Hein], van der Geest, R.[Rob], Reiber, J.H.C.[Johan H. C.],
Anatomical Modeling with Fuzzy Implicit Surface Templates: Application to Automated Localization of the Heart and Lungs in Thoracic MR Volumes,
CVIU(80), No. 1, October 2000, pp. 1-20.
DOI Link 0010
BibRef

Styner, M., Brechbuhler, C., Szckely, G., Gerig, G.,
Parametric estimate of intensity inhomogeneities applied to MRI,
MedImg(19), No. 3, March 2000, pp. 153-165.
IEEE Top Reference. 0110
BibRef

Wilson, D.L., Noble, J.A.,
An adaptive segmentation algorithm for time-of-flight MRA data,
MedImg(18), No. 10, October 1999, pp. 938-945.
IEEE Top Reference. 0110
BibRef

Gao, Y.[Yun], Reeves, S.J.,
Fast k-space sample selection in MRSI with a limited region of support,
MedImg(20), No. 9, September 2001, pp. 868-876.
IEEE Top Reference. 0110
BibRef

van der Weide, R., Bakker, C.J., Viergever, M.A.,
Localization of intravascular devices with paramagnetic markers in MR images,
MedImg(20), No. 10, October 2001, pp. 1061-1071.
IEEE Top Reference. 0111
BibRef

Ashton, E.A., Parker, K.J., Berg, M.J., Chen, C.W.[Chang Wen],
A novel volumetric feature extraction technique with applications to MR images,
MedImg(16), No. 4, August 1997, pp. 365-371.
IEEE Top Reference. 0205
BibRef
Earlier: ICIP95(III: 564-567).
IEEE DOI 9510
BibRef

Ashton, E.A., Berg, M.J., Parker, K.J., Weisberg, J., Chen, C.W.[Chang Wen], Ketonen, L.,
Segmentation and features extraction techniques, with applications to biomedical images,
ICIP94(III: 726-730).
IEEE DOI 9411
BibRef

Ashton, E.A., Molinelli, L., Totterman, S., Parker, K.J.,
Evaluation of reproducibility for manual and semi-automated feature extraction in CT and MR images,
ICIP02(III: 161-164).
IEEE DOI 0210
BibRef

Chang, J.[Jenghwa], Graber, H.L., Koo, P.C.[Ping Chen], Aronson, R., Barbour, S.L.S., Barbour, R.L.,
Optical imaging of anatomical maps derived from magnetic resonance images using time-independent optical sources,
MedImg(16), No. 1, February 1997, pp. 68-77.
IEEE Top Reference. 0205
BibRef

Pham, D.L.[Dzung L.], Prince, J.L.[Jerry L.],
An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities,
PRL(20), No. 1, January 1999, pp. 57-68. BibRef 9901

Pham, D.L., Prince, J.L.,
Adaptive fuzzy segmentation of magnetic resonance images,
MedImg(18), No. 9, September 1999, pp. 737-752.
IEEE Top Reference. 0110
BibRef

Pham, D.L.[Dzung L.],
Fuzzy Fractal Analysis of Molecular Imaging Data,
PIEEE(96), No. 8, August 2008, pp. 1332-1347.
IEEE DOI 0804
BibRef

Pham, D.L.[Dzung L.],
Spatial Models for Fuzzy Clustering,
CVIU(84), No. 2, November 2001, pp. 285-297.
DOI Link 0203
BibRef
Earlier:
Fuzzy clustering with spatial constraints,
ICIP02(II: 65-68).
IEEE DOI 0210
BibRef
Earlier:
Edge-adaptive Clustering for Unsupervised Image Segmentation,
ICIP00(Vol I: 816-819).
IEEE DOI 0008
BibRef

Hiltner, J., Fathi, M., Reusch, B.,
An approach to use linguistic and model-based fuzzy expert knowledge for the analysis of MRT images,
IVC(19), No. 4, March 2001, pp. 195-206.
WWW Link. 0102
BibRef
And: Erratum: IVC(19), No. 13, November 2001, pp. 1021.
WWW Link. 0111
BibRef

Ahmed, M.N., Yamany, S.M., Mohamed, N., Farag, A.A., Moriarty, T.,
A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data,
MedImg(21), No. 3, March 2002, pp. 193-199.
IEEE Top Reference. 0205
BibRef

Ahmed, M.N., Yamany, S.M., Farag, A.A., Moriarty, T.,
Bias Field Estimation and Adaptive Segmentation of MRI Data Using a Modified Fuzzy C-Means Algorithm,
CVPR99(I: 250-255).
IEEE DOI BibRef 9900

Tang, M.X.[Meng-Xing], Wang, W.[Wei], Wheeler, J., McCormick, M., Dong, X.Z.[Xiu-Zhen],
Effects of incompatible boundary information in EIT on the convergence behavior of an iterative algorithm,
MedImg(21), No. 6, June 2002, pp. 620-628.
IEEE Top Reference. 0208
BibRef

Menegaz, G., Thiran, J.P.,
Lossy to lossless object-based coding of 3-d MRI data,
IP(11), No. 9, September 2002, pp. 1053-1061.
IEEE DOI 0210
BibRef

Chen, Y.S.[Ya-Sheng], Amini, A.A.,
A MAP Framework for Tag Line Detection in SPAMM Data Using Markov Random Fields on the B-Spline Solid,
MedImg(21), No. 9, September 2002, pp. 1110-1122.
IEEE Top Reference. 0301
BibRef
Earlier: MMBIA01(xx-yy). 0110
BibRef

Chavez, S., Xiang, Q.S.[Qing-San], An, L.[Li],
Understanding phase maps in MRI: a new cutline phase unwrapping method,
MedImg(21), No. 8, August 2002, pp. 966-977.
IEEE Top Reference. 0301
BibRef

Rohr, K.[Karl],
Extraction of 3d anatomical point landmarks based on invariance principles,
PR(32), No. 1, January 1999, pp. 3-15.
WWW Link. See also Evaluation of 3D Operators for the Detection of Anatomical Point Landmarks in MR and CT Images. BibRef 9901

Frantz, S.[Sönke], Rohr, K.[Karl], Stiehl, H.S.[H. Siegfried],
Development and validation of a multi-step approach to improved detection of 3D point landmarks in tomographic images,
IVC(23), No. 11, 1 October 2005, pp. 956-971.
WWW Link. 0510
BibRef
Earlier:
Multi-Step Procedures for the Localization of 2-D and 3-D Point Landmarks and Automatic ROI Size Selection,
ECCV98(I: 687).
Springer DOI BibRef

Wang, C.M.[Chuin-Mu], Chen, C.C.C.[Clayton Chi-Chang], Chung, Y.N.[Yi-Nung], Yang, S.C.[Sheng-Chih], Chung, P.C.[Pau-Choo], Yang, C.W.[Ching-Wen], Chang, C.I.[Chein-I.],
Detection of spectral signatures in multispectral MR images for classification,
MedImg(22), No. 1, January 2003, pp. 50-61.
IEEE Top Reference. 0304
BibRef

Basser, P.J., Pajevic, S.,
A Normal Distribution for Tensor-Valued Random Variables: Applications to Diffusion Tensor MRI,
MedImg(22), No. 7, July 2003, pp. 785-794.
IEEE Abstract. 0308
BibRef

Liew, A.W.C., Yan, H.[Hong],
An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation,
MedImg(22), No. 9, September 2003, pp. 1063-1075.
IEEE Abstract. 0309
BibRef

Sato, Y., Tanaka, H., Nishii, T., Nakanishi, K., Sugano, N., Kubota, T., Nakamura, H., Yoshikawa, H., Ochi, T., Tamura, S.,
Limits on the accuracy of 3-D thickness measurement in magnetic resonance images- Effects of voxel anisotropy,
MedImg(22), No. 9, September 2003, pp. 1076-1088.
IEEE Abstract. 0309
BibRef

Carballido-Gamio, J., Belongie, S.J., Majumdar, S.,
Normalized Cuts in 3-D for Spinal MRI Segmentation,
MedImg(23), No. 1, January 2004, pp. 36-44.
IEEE Abstract. 0403
BibRef

Fournial, R., Traore, A.S., Laurendeau, D., Moisan, C.,
An Analytic Method to Predict the Thermal Map of Cryosurgery Iceballs in MR Images,
MedImg(23), No. 1, January 2004, pp. 122-129.
IEEE Abstract. 0403
BibRef

Chan, D.Y.[Din-Yuen], Cheng, H.Y., Hsieh, H.L.[Hsin-Lung],
Tissue separation in MR images: From supervised to unsupervised classification,
JVCIR(15), No. 2, June 2004, pp. 185-202.
WWW Link. 0405
BibRef

Gilchrist, C.L., Xia, J.Q., Setton, L.A., Hsu, E.W.,
High-resolution determination of soft tissue deformations using MRI and first-order texture correlation,
MedImg(23), No. 5, May 2004, pp. 546-553.
IEEE Abstract. 0406
BibRef

Ng, S.K.[Shu-Kay], McLachlan, G.J.[Geoffrey J.],
Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images,
PR(37), No. 8, August 2004, pp. 1573-1589.
WWW Link. 0407
BibRef

Wang, Z.Z., Vemuri, B.C., Chen, Y., Mareci, T.H.,
A Constrained Variational Principle for Direct Estimation and Smoothing of the Diffusion Tensor Field From Complex DWI,
MedImg(23), No. 8, August 2004, pp. 930-939.
IEEE Abstract. 0409
BibRef
Earlier:
Simultaneous smoothing and estimation of the tensor field from diffusion tensor MRI,
CVPR03(I: 461-466).
IEEE DOI 0307
BibRef

Wang, Z.Z.[Zhi-Zhou], Vemuri, B.C.[Baba C.],
An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation,
CVPR04(I: 228-233).
IEEE DOI 0408
BibRef
And:
Tensor Field Segmentation Using Region Based Active Contour Model,
ECCV04(Vol IV: 304-315).
Springer DOI 0405
BibRef

Chen, Y., Guo, W., Zeng, Q., Yan, X., Huang, F., Zhang, H., He, G., Vemuri, B.C., Liu, Y.,
Estimation, smoothing, and characterization of apparent diffusion coefficient profiles from high angular resolution DWI,
CVPR04(I: 588-593).
IEEE DOI 0408
Diffusion Weighted MRI. BibRef

Kannan, S.R.,
A New Clustering Algorith for Segmentation of Magnetic Resonance Images Using Fuzzy C-Mean and Computer Programming,
GVIP(05), No. V2, January 2005, pp. 17-23
HTML Version. BibRef 0501

Buonocore, M.H., Katzberg, R.W.,
Estimation of Extraction Fraction (EF) and Glomerular Filtration Rate (GFR) Using MRI: Considerations Derived From a New Gd-Chelate Biodistribution Model Simulation,
MedImg(24), No. 5, May 2005, pp. 651-666.
IEEE Abstract. 0505
BibRef

Soleimani, M., Powell, C.E., Polydorides, N.,
Improving the Forward Solver for the Complete Electrode Model in EIT Using Algebraic Multigrid,
MedImg(24), No. 5, May 2005, pp. 577-583.
IEEE Abstract. 0505
electrical impedance tomography BibRef

Srikanth, R., Ramakrishnan, A.G.,
Contextual Encoding in Uniform and Adaptive Mesh-Based Lossless Compression of MR Images,
MedImg(24), No. 9, September 2005, pp. 1199-1206.
IEEE DOI 0509
BibRef

Wang, Z., Vemuri, B.C.,
DTI Segmentation Using an Information Theoretic Tensor Dissimilarity Measure,
MedImg(24), No. 10, October 2005, pp. 1267-1277.
IEEE DOI 0510
Diffusion Tensor Imaging. BibRef

Hung, W.L.[Wen-Liang], Yang, M.S.[Miin-Shen], Chen, D.H.[De-Hua],
Parameter selection for suppressed fuzzy c-means with an application to MRI segmentation,
PRL(27), No. 5, 1 April 2006, pp. 424-438.
WWW Link. Fuzzy clustering; Fuzzy c-means; Suppressed fuzzy c-means; Parameter selection; Magnetic resonance image segmentation 0604
BibRef

Hung, W.L.[Wen-Liang], Yang, M.S.[Miin-Shen], Chen, D.H.[De-Hua],
Bootstrapping approach to feature-weight selection in fuzzy c-means algorithms with an application in color image segmentation,
PRL(29), No. 9, 1 July 2008, pp. 1317-1325.
WWW Link. 0711
Fuzzy clustering; Fuzzy c-means; Weighted fuzzy c-means; Bootstrap; Variation; Color image segmentation BibRef

Raj, A.[Ashish], Wang, Y., Zabih, R.,
A Maximum Likelihood Approach to Parallel Imaging With Coil Sensitivity Noise,
MedImg(26), No. 8, August 2007, pp. 1046-1057.
IEEE DOI 0709
BibRef

Raj, A.[Ashish], Singh, G.[Gurmeet], Zabih, R.[Ramin],
MRFs for MRIs: Bayesian Reconstruction of MR Images via Graph Cuts,
CVPR06(I: 1061-1068).
IEEE DOI 0606
BibRef

Soleimani, M., Lionheart, W.R.B.,
Absolute Conductivity Reconstruction in Magnetic Induction Tomography Using a Nonlinear Method,
MedImg(25), No. 12, December 2006, pp. 1521-1530.
IEEE DOI 0701
BibRef

Vovk, U., Pernus, F.[Franjo], Likar, B.[Bostjan],
A Review of Methods for Correction of Intensity Inhomogeneity in MRI,
MedImg(26), No. 3, March 2007, pp. 405-421.
IEEE DOI 0703
BibRef

Kindlmann, G., Ennis, D.B., Whitaker, R.T., Westin, C.F.[Carl-Fredrik],
Diffusion Tensor Analysis With Invariant Gradients and Rotation Tangents,
MedImg(26), No. 11, November 2007, pp. 1483-1499.
IEEE DOI 0709
BibRef

Awate, S.P., Zhang, H., Gee, J.C.,
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis: With Applications to DTI-Tract Extraction,
MedImg(26), No. 11, November 2007, pp. 1525-1536.
IEEE DOI 0709
BibRef

Fonteijn, H.M.J., Verstraten, F.A.J., Norris, D.G.,
Probabilistic Inference on Q-ball Imaging Data,
MedImg(26), No. 11, November 2007, pp. 1515-1524.
IEEE DOI 0709
MRI issue. BibRef

Freidlin, R.Z., Ăzarslan, E., Komlosh, M.E., Chang, L.C., Koay, C.G., Jones, D.K., Basser, P.J.,
Parsimonious Model Selection for Tissue Segmentation and Classification Applications: A Study Using Simulated and Experimental DTI Data,
MedImg(26), No. 11, November 2007, pp. 1576-1584.
IEEE DOI 0709
BibRef

Dharmaraj, C.D.[Christopher D.], Krishna, M.C.[Murali C.], Murugesan, R.,
A Feature Identification System for Electron Magnetic Resonance Tomography: Fusion of Principal Components Transform, Color Quantization and Boundary Information,
JMIV(30), No. 3, March 2008, pp. 284-297.
Springer DOI 0802
BibRef

Duchesne, S., Caroli, A., Geroldi, C., Barillot, C., Frisoni, G.B., Collins, D.L.,
MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls,
MedImg(27), No. 4, April 2008, pp. 509-520.
IEEE DOI 0804
BibRef

Niedre, M., Ntziachristos, V.,
Elucidating Structure and Function In Vivo With Hybrid Fluorescence and Magnetic Resonance Imaging,
PIEEE(96), No. 3, March 2008, pp. 382-396.
IEEE DOI 0804
BibRef

Zalesky, A.,
DT-MRI Fiber Tracking: A Shortest Paths Approach,
MedImg(27), No. 10, October 2008, pp. 1458-1471.
IEEE DOI 0810
BibRef

Jacob, M., Sutton, B.P.,
Algebraic Decomposition of Fat and Water in MRI,
MedImg(28), No. 2, February 2009, pp. 173-184.
IEEE DOI 0902
BibRef

Bresch, E., Narayanan, S.,
Region Segmentation in the Frequency Domain Applied to Upper Airway Real-Time Magnetic Resonance Images,
MedImg(28), No. 3, March 2009, pp. 323-338.
IEEE DOI 0903
BibRef

Shilling, R.Z., Robbie, T.Q., Bailloeul, T., Mewes, K., Mersereau, R.M., Brummer, M.E.[Marijn E.],
A Super-Resolution Framework for 3-D High-Resolution and High-Contrast Imaging Using 2-D Multislice MRI,
MedImg(28), No. 5, May 2009, pp. 633-644.
IEEE DOI 0905
BibRef

Shilling, R.Z.[Richard Z.], Ramamurthy, S.[Senthil], Brummer, M.E.[Marijn E.],
Sampling strategies for super-resolution in multi-slice MRI,
ICIP08(2240-2243).
IEEE DOI 0810
BibRef

Lee, J.D., Su, H.R., Cheng, P.E., Liou, M., Aston, J.A.D., Tsai, A.C., Chen, C.Y.,
MR Image Segmentation Using a Power Transformation Approach,
MedImg(28), No. 6, June 2009, pp. 894-905.
IEEE DOI 0906
BibRef

Withey, D.J., Pedrycz, W., Koles, Z.J.,
Dynamic edge tracing: Boundary identification in medical images,
CVIU(113), No. 10, October 2009, pp. 1039-1052.
Elsevier DOI 0910
Image segmentation; Medical image analysis; Edge tracing; Kalman filter; Target tracking; Magnetic resonance imaging BibRef

Detsky, J.S., Paul, G., Dick, A.J., Wright, G.A.,
Reproducible Classification of Infarct Heterogeneity Using Fuzzy Clustering on Multicontrast Delayed Enhancement Magnetic Resonance Images,
MedImg(28), No. 10, October 2009, pp. 1606-1614.
IEEE DOI 0910
BibRef

Kressler, B., de Rochefort, L., Liu, T., Spincemaille, P., Jiang, Q., Wang, Y.,
Nonlinear Regularization for Per Voxel Estimation of Magnetic Susceptibility Distributions From MRI Field Maps,
MedImg(29), No. 2, February 2010, pp. 273-281.
IEEE DOI 1002
BibRef

Liu, T., Xu, W., Spincemaille, P., Avestimehr, A.S., Wang, Y.,
Accuracy of the Morphology Enabled Dipole Inversion (MEDI) Algorithm for Quantitative Susceptibility Mapping in MRI,
MedImg(31), No. 3, March 2012, pp. 816-824.
IEEE DOI 1203
BibRef

Zhang, X., Zhu, S., He, B.,
Imaging Electric Properties of Biological Tissues by RF Field Mapping in MRI,
MedImg(29), No. 2, February 2010, pp. 474-481.
IEEE DOI 1002
BibRef

Ng, H.P., Ong, S.H., Huang, S., Liu, J., Foong, K.W.C., Goh, P.S., Nowinski, W.L.,
Salient features useful for the accurate segmentation of masticatory muscles from minimum slices subsets of magnetic resonance images,
MVA(21), No. 4, June 2010, pp. xx-yy.
Springer DOI 1006
BibRef

Ng, H.P., Ong, S.H., Foong, K.W.C., Goh, P.S., Nowinski, W.L.,
Automatic Segmentation of Muscles of Mastication from Magnetic Resonance Images Using Prior Knowledge,
ICPR06(III: 968-971).
IEEE DOI 0609
BibRef
Earlier: A1, A2, A4, A3, A5:
Template-based Automatic Segmentation of Masseter Using Prior Knowledge,
Southwest06(208-212).
IEEE DOI 0603
BibRef

Ng, H.P., Ong, S.H., Foong, K.W.C., Goh, P.S., Nowinski, W.L.,
Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm,
Southwest06(61-65).
IEEE DOI 0603
BibRef

Duits, R.[Remco], Franken, E.[Erik],
Left-Invariant Diffusions on the Space of Positions and Orientations and their Application to Crossing-Preserving Smoothing of HARDI images,
IJCV(92), No. 3, May 2011, pp. 231-264.
WWW Link. 1103
High Angular Resolution Diffusion Images BibRef

Reisert, M., Kiselev, V.G.,
Fiber Continuity: An Anisotropic Prior for ODF Estimation,
MedImg(30), No. 6, June 2011, pp. 1274-1283.
IEEE DOI 1101
HARDI data. BibRef

Reisert, M., Kellner, E., Kiselev, V.G.,
About the Geometry of Asymmetric Fiber Orientation Distributions,
MedImg(31), No. 6, June 2012, pp. 1240-1249.
IEEE DOI 1206
BibRef

Huang, F., Narayan, S., Wilson, D., Johnson, D., Zhang, G.Q.,
A Fast Iterated Conditional Modes Algorithm for Water-Fat Decomposition in MRI,
MedImg(30), No. 8, August 2011, pp. 1480-1492.
IEEE DOI 1108
BibRef

Kranjc, M., Bajd, F., Sersa, I., Miklavcic, D.,
Magnetic Resonance Electrical Impedance Tomography for Monitoring Electric Field Distribution During Tissue Electroporation,
MedImg(30), No. 10, October 2011, pp. 1771-1778.
IEEE DOI 1110
BibRef

Fouquier, G.[Geoffroy], Atif, J.[Jamal], Bloch, I.[Isabelle],
Sequential model-based segmentation and recognition of image structures driven by visual features and spatial relations,
CVIU(116), No. 1, January 2012, pp. 146-165.
Elsevier DOI 1112
Segmentation; Knowledge-based system; Spatial relations; Graph representations; Fuzzy sets; Medical images; MRI BibRef

Fouquier, G.[Geoffroy], Anquez, J.[Jérémie], Bloch, I.[Isabelle], Falip, C.[Céline], Adamsbaum, C.[Catherine],
Subcutaneous Adipose Tissue Segmentation in Whole-Body MRI of Children,
CIARP11(97-104).
Springer DOI 1111
BibRef

Chinnadurai, V.[Vijayakumar], Chandrashekhar, G.D.[Gharpure Damayanti],
Neuro-levelset system based segmentation in dynamic susceptibility contrast enhanced and diffusion weighted magnetic resonance images,
PR(45), No. 9, September 2012, pp. 3501-3511.
Elsevier DOI 1206
Neuro-levelset method; Artificial neural networks; Radial basis function; Self-organizing map; Dynamic contrast susceptibility magnetic resonance images; Diffusion weighted images BibRef

Rivest-Henault, D., Cheriet, M.[Mohamed],
3-D Curvilinear Structure Detection Filter Via Structure-Ball Analysis,
IP(22), No. 7, 2013, pp. 2849-2863.
IEEE DOI 1307
biological tissues; biomedical MRI BibRef

Tran, L.[Loc], Banerjee, D.[Debrup], Wang, J.H.[Ji-Hong], Kumar, A.J.[Ashok J.], McKenzie, F.[Frederic], Li, Y.H.[Yao-Hang], Li, J.[Jiang],
High-dimensional MRI data analysis using a large-scale manifold learning approach,
MVA(24), No. 5, July 2013, pp. 995-1014.
Springer DOI 1306
BibRef

Qiu, C.Y.[Cun-Yong], Xiao, J.[Jian], Yu, L.[Long], Han, L.[Lu], Iqbal, M.N.[Muhammad Naveed],
A modified interval type-2 fuzzy C-means algorithm with application in MR image segmentation,
PRL(34), No. 12, 1 September 2013, pp. 1329-1338.
Elsevier DOI 1306
Image segmentation; Magnetic resonance imaging; Fuzzy C-means; Interval type-2 fuzzy sets BibRef

Qiu, C.Y.[Cun-Yong], Xiao, J.[Jian], Han, L.[Lu], Iqbal, M.N.[Muhammad Naveed],
Enhanced interval type-2 fuzzy c-means algorithm with improved initial center,
PRL(38), No. 1, 2014, pp. 86-92.
Elsevier DOI 1402
Fuzzy clustering BibRef

Malgina, O., Praznikar, A., Tasic, J.F.,
Inhomogeneity correction and fat-tissue extraction in MR images of FacioScapuloHumeral muscular Dystrophy,
PRL(34), No. 12, 1 September 2013, pp. 1364-1371.
Elsevier DOI 1306
Magnetic resonance imaging; Fat tissue; Muscle tissue; Bias field; Inhomogeneity correction BibRef

Rondina, J.M., Hahn, T., de Oliveira, L., Marquand, A.F., Dresler, T., Leitner, T., Fallgatter, A.J., Shawe-Taylor, J., Mourao-Miranda, J.,
SCoRS: A Method Based on Stability for Feature Selection and Apping in Neuroimaging,
MedImg(33), No. 1, January 2014, pp. 85-98.
IEEE DOI 1402
BibRef
And: Correction: MedImg(33), No. 3, March 2014, pp. 794-794.
IEEE DOI 1404
biomedical MRI BibRef

Cetingul, H.E., Wright, M.J., Thompson, P.M., Vidal, R.,
Segmentation of High Angular Resolution Diffusion MRI Using Sparse Riemannian Manifold Clustering,
MedImg(33), No. 2, February 2014, pp. 301-317.
IEEE DOI 1403
biodiffusion BibRef

Yaqub, M., Javaid, M.K., Cooper, C., Noble, J.A.,
Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation,
MedImg(33), No. 2, February 2014, pp. 258-271.
IEEE DOI 1403
biomedical MRI BibRef

Gao, J.J.[Jing-Jing], Xie, M.[Mei], Mao, L.[Ling],
Interleaved k-NN Classification and Bias Field Estimation for MR Image with Intensity Inhomogeneity,
IEICE(E97-D), No. 4, April 2014, pp. 1011-1015.
WWW Link. 1404
BibRef

Zhao, B.[Bo], Lam, F.[Fan], Liang, Z.P.[Zhi-Pei],
Model-Based MR Parameter Mapping With Sparsity Constraints: Parameter Estimation and Performance Bounds,
MedImg(33), No. 9, September 2014, pp. 1832-1844.
IEEE DOI 1410
biological tissues BibRef

Akhondi-Asl, A., Hoyte, L., Lockhart, M.E., Warfield, S.K.,
A Logarithmic Opinion Pool Based STAPLE Algorithm for the Fusion of Segmentations With Associated Reliability Weights,
MedImg(33), No. 10, October 2014, pp. 1997-2009.
IEEE DOI 1411
biomedical MRI BibRef

Méndez, C.A.[C. Andrés], Summers, P.[Paul], Menegaz, G.[Gloria],
Multiview cluster ensembles for multimodal MRI segmentation,
IJIST(25), No. 1, 2015, pp. 56-67.
DOI Link 1502
multimodal MRI BibRef

Liu, B.[Bin], Jia, X.Y.[Xian-Yong], Jiang, Q.F.[Qian-Feng], Huang, R.[Rui], Zhang, H.[Hui], Wan, C.[Chao],
A segmentation system based on clustering method for pediatric DTI images,
IJIST(25), No. 1, 2015, pp. 102-113.
DOI Link 1502
DTI BibRef

Smith, S., Williams, I.,
A Statistical Method for Improved 3D Surface Detection,
SPLetters(22), No. 8, August 2015, pp. 1045-1049.
IEEE DOI 1502
edge detection BibRef

Kim, D.H., Chauhan, M., Kim, M.O., Jeong, W.C., Kim, H.J., Sersa, I., Kwon, O.I., Woo, E.J.,
Frequency-Dependent Conductivity Contrast for Tissue Characterization Using a Dual-Frequency Range Conductivity Mapping Magnetic Resonance Method,
MedImg(34), No. 2, February 2015, pp. 507-513.
IEEE DOI 1502
Animals BibRef

Lee, S.K.[Seung-Kyun], Bulumulla, S., Wiesinger, F., Sacolick, L., Sun, W., Hancu, I.,
Tissue Electrical Property Mapping From Zero Echo-Time Magnetic Resonance Imaging,
MedImg(34), No. 2, February 2015, pp. 541-550.
IEEE DOI 1502
Coils BibRef

Lee, S.K.[Seung-Kyun], Bulumulla, S., Hancu, I.,
Theoretical Investigation of Random Noise-Limited Signal-to-Noise Ratio in MR-Based Electrical Properties Tomography,
MedImg(34), No. 11, November 2015, pp. 2220-2232.
IEEE DOI 1512
bioelectric phenomena BibRef

Al-Hinnawi, A.R.[Abdel Razzak], Daear, M.[Mohammed],
Assessment of bilateral filter on low NEX open MRI views,
SIViP(9), No. 1, January 2015, pp. 9-17.
WWW Link. 1503
BibRef

Xu, X., Lee, K., Zhang, L., Sonka, M., Abramoff, M.D.,
Stratified Sampling Voxel Classification for Segmentation of Intraretinal and Subretinal Fluid in Longitudinal Clinical OCT Data,
MedImg(34), No. 7, July 2015, pp. 1616-1623.
IEEE DOI 1507
Anisotropic magnetoresistance BibRef

Ahmadvand, A.[Ali], Kabiri, P.[Peyman],
Multispectral MRI image segmentation using Markov random field model,
SIViP(10), No. 1, February 2016, pp. 251-258.
WWW Link. 1601
BibRef

Goetz, M., Weber, C., Binczyk, F., Polanska, J., Tarnawski, R., Bobek-Billewicz, B., Koethe, U., Kleesiek, J., Stieltjes, B., Maier-Hein, K.H.,
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images,
MedImg(35), No. 1, January 2016, pp. 184-196.
IEEE DOI 1601
Image segmentation BibRef

Pratondo, A., Chui, C.K.[Chee-Kong], Ong, S.H.[Sim-Heng],
Robust Edge-Stop Functions for Edge-Based Active Contour Models in Medical Image Segmentation,
SPLetters(23), No. 2, February 2016, pp. 222-226.
IEEE DOI 1602
biomedical MRI BibRef

Lę, M., Delingette, H., Kalpathy-Cramer, J., Gerstner, E.R., Batchelor, T., Unkelbach, J., Ayache, N.,
MRI Based Bayesian Personalization of a Tumor Growth Model,
MedImg(35), No. 10, October 2016, pp. 2329-2339.
IEEE DOI 1610
Bayes methods BibRef

Lę, M., Delingette, H., Kalpathy-Cramer, J., Gerstner, E.R., Batchelor, T., Unkelbach, J., Ayache, N.,
Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model,
MedImg(36), No. 3, March 2017, pp. 815-825.
IEEE DOI 1703
Brain modeling BibRef

Blaiotta, C.[Claudia], Cardoso, M.J.[M. Jorge], Ashburner, J.[John],
Variational inference for medical image segmentation,
CVIU(151), No. 1, 2016, pp. 14-28.
Elsevier DOI 1610
Image segmentation BibRef

Tan, C.[Chaowei], Li, K.[Kang], Yan, Z.[Zhennan], Yang, D.[Dong], Zhang, S.T.[Shao-Ting], Yu, H.J.[Hui Jing], Engelke, K.[Klaus], Miller, C.[Colin], Metaxas, D.[Dimitris],
A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification,
CVIU(151), No. 1, 2016, pp. 80-89.
Elsevier DOI 1610
Thigh inter-muscular adipose tissue quantification BibRef

van Niekerk, A., van der Kouwe, A., Meintjes, E.,
A Method for Measuring Orientation Within a Magnetic Resonance Imaging Scanner Using Gravity and the Static Magnetic Field (VectOrient),
MedImg(36), No. 5, May 2017, pp. 1129-1139.
IEEE DOI 1705
Gravity, Magnetic domains, Magnetic resonance imaging, Magnetometers, Position measurement, Tracking, Accelerometer, MRI, angular rate, magnetometer, orientation, prospective, motion, correction BibRef

Bao, S., Chung, A.C.S.,
Feature Sensitive Label Fusion With Random Walker for Atlas-Based Image Segmentation,
IP(26), No. 6, June 2017, pp. 2797-2810.
IEEE DOI 1705
Biomedical imaging, Feature extraction, Image analysis, Image registration, Image segmentation, Labeling, Sensitivity, Segmentation, brain, magnetic resonance imaging BibRef

Sudeep, P.V., Palanisamy, P., Kesavadas, C.[Chandrasekharan], Sijbers, J.[Jan], den Dekker, A.J.[Arnold J.], Rajan, J.[Jeny],
A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps,
SIViP(11), No. 5, July 2017, pp. 913-920.
Springer DOI 1706
BibRef

Gdaniec, N., Schlüter, M., Möddel, M., Kaul, M.G., Krishnan, K.M., Schlaefer, A., Knopp, T.,
Detection and Compensation of Periodic Motion in Magnetic Particle Imaging,
MedImg(36), No. 7, July 2017, pp. 1511-1521.
IEEE DOI 1707
Atmospheric measurements, Imaging, Particle measurements, Signal to noise ratio, Spatial resolution, Trajectory, Biomedical imaging, Motion artifacts, Motion compensation, Motion, detection BibRef


Tseng, K.L.[Kuan-Lun], Lin, Y.L.[Yen-Liang], Hsu, W.[Winston], Huang, C.Y.[Chung-Yang],
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation,
CVPR17(3739-3746)
IEEE DOI 1711
Convolution, Decoding, Image segmentation, Tumors, BibRef

Hai, J.J.[Jin-Jin], Chen, J.[Jian], Qiao, K.[Kai], Zeng, L.[Lei], Xu, J.[Jingbo], Yan, B.[Bin],
Fast medical image segmentation based on patch sharing,
ICIVC17(336-340)
IEEE DOI 1708
Convolution, Image segmentation, Knowledge engineering, Magnetic resonance imaging, Medical diagnostic imaging, convolutional neural network, medical image segmentation, patch sharing BibRef

Fan, B.J.[Bai-Jiang], Rao, Y.[Yunbo], Liu, W.[Wei], Wang, Q.F.[Qi-Fei], Wen, H.Y.[Huai-Yu],
Region-based growing algorithm for 3D reconstruction from MRI images,
ICIVC17(521-525)
IEEE DOI 1708
Image edge detection, Image reconstruction, Image segmentation, Magnetic resonance imaging, Mathematical model, Solid modeling, Three-dimensional displays, 3D reconstruction, image segmentation, multiple angle observation, region-based, growing BibRef

Mohebpour, M.R., Guibault, F., Cheriet, F.,
Mesh-Based Active Model Initialization for Multiple Organ Segmentation in MR Images,
ICIAR17(429-436).
Springer DOI 1706
BibRef

Christensen, A.N.[Anders Nymark], Larsen, C.T.[Christian Thode], Mandrup, C.M.[Camilla Maria], Petersen, M.B.[Martin Bćk], Larsen, R.[Rasmus], Conradsen, K.[Knut], Dahl, V.A.[Vedrana Andersen],
Automatic Segmentation of Abdominal Fat in MRI-Scans, Using Graph-Cuts and Image Derived Energies,
SCIA17(II: 109-120).
Springer DOI 1706
BibRef

Lapuyade-Lahorgue, J., Ruan, S., Li, H., Vera, P.,
Tumor segmentation by fusion of MRI images using copula based statistical methods,
ICIP16(4136-4139)
IEEE DOI 1610
Hidden Markov models BibRef

Cardona, H.D.V.[Hernán Darío Vargas], López-Lopera, A.F.[Andrés F.], Orozco, Á.A.[Álvaro A.], Álvarez, M.A.[Mauricio A.], Tamames, J.A.H.[Juan Antonio Hernández], Malpica, N.[Norberto],
Gaussian Processes for Slice-Based Super-Resolution MR Images,
ISVC15(II: 692-701).
Springer DOI 1601
BibRef

Pan, X.[Xu], Zhu, H.[Hongqing], Xie, Q.[Qunyi],
A robust nonsymmetric student's-t finite mixture model for MR image segmentation,
ICIP15(1830-1834)
IEEE DOI 1512
MR image BibRef

Ito, S.[Satoshi], Yasaka, S.[Shungo], Yamada, Y.[Yoshifumi],
MR image reconstruction of a regularly undersampled signal using quadratic phase scrambling,
ICIP15(2994-2998)
IEEE DOI 1512
Fresnel transform; aliasing; compressed sensing; sampling BibRef

Adhikari, S.K., Sing, J.K., Basu, D.K., Nasipuri, M.,
A spatial fuzzy C-means algorithm with application to MRI image segmentation,
ICAPR15(1-6)
IEEE DOI 1511
biomedical MRI BibRef

Aparajeeta, J., Nanda, P.K., Das, N.,
Bias field estimation and segmentation of MR image using modified fuzzy-C means algorithms,
ICAPR15(1-6)
IEEE DOI 1511
biomedical MRI BibRef

Roy, A., Maity, S.P.,
On segmentation of CS reconstructed MR images,
ICAPR15(1-6)
IEEE DOI 1511
adaptive filters BibRef

Orbes-Arteaga, M.[Mauricio], Cárdenas-Peńa, D.[David], Álvarez, M.A.[Mauricio A.], Orozco, A.A.[Alvaro A.], Castellanos-Dominguez, G.[Germán],
Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models,
CIARP15(391-399).
Springer DOI 1511
BibRef

Khatami, M.[Mohammad], Schmidt-Wilcke, T.[Tobias], Sundgren, P.C.[Pia C.], Abbasloo, A.[Amin], Schölkopf, B.[Bernhard], Schultz, T.[Thomas],
BundleMAP: Anatomically localized classification, regression, and hypothesis testing in diffusion MRI,
PR(63), No. 1, 2017, pp. 593-600.
Elsevier DOI 1612
BibRef
Earlier:
BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease,
MLMI15(52-60).
Springer DOI 1511
Disease detection BibRef

Imamoglu, N.[Nevrez], Gomez-Tames, J.[Jose], He, S.[Siyu], Gu, D.Y.[Dong-Yun], Kita, K.[Kahori], Yu, W.[Wenwei],
Unsupervised muscle region extraction by fuzzy decision based saliency feature integration on thigh MRI for 3D modeling,
MVA15(150-153)
IEEE DOI 1507
Feature extraction BibRef

Cárdenas-Peńa, D.[David], Orozco, A.A.[Alvaro A.], Castellanos-Dominguez, G.[Germán],
Information-Based Cost Function for a Bayesian MRI Segmentation Framework,
CIAP15(I:548-556).
Springer DOI 1511
BibRef

Orbes-Arteaga, M.[Mauricio], Cárdenas-Peńa, D.[David], Álvarez, M.A.[Mauricio A.], Orozco, A.A.[Alvaro A.], Castellanos-Dominguez, G.[Germán],
Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation,
CIAP15(I:658-667).
Springer DOI 1511
BibRef
Earlier:
Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation,
IbPRIA15(300-308).
Springer DOI 1506
BibRef

Lin, E.U.[En-Ui], McLaughlin, M., Alshehri, A.A., Ezekiel, S., Farag, W.,
Medical image segmentation using multi-scale and super-resolution method,
AIPR14(1-5)
IEEE DOI 1504
biomedical MRI BibRef

Trebuchet, G., Fasquel, J., Cavaro-Menard, C., Willoteaux, S.,
Coupling anatomical and functional information for the computer-aided delineation of Phase-Contrast MRI images using active contours,
IPTA12(172-177)
IEEE DOI 1503
biomedical MRI BibRef

Antony, J., McGuinness, K., Welch, N., Coyle, J., Franklyn-Miller, A., OConnor, N.E., Moran, K.,
Fat quantification in MRI-defined lumbar muscles,
IPTA14(1-6)
IEEE DOI 1503
biomedical MRI BibRef

Kinani, J.M.V.[J.M. Vianney], Rosales-Silva, A.J., Gallegos-Funes, F.J., Arellano, A.,
Fuzzy C-means applied to MRI images for an automatic lesion detection using image enhancement and constrained clustering,
IPTA14(1-7)
IEEE DOI 1503
biomedical MRI BibRef

Pham, M.H., Doncescu, A.,
Detection of the features of the objects in MR images using dynamic programming,
IPTA14(1-6)
IEEE DOI 1503
biomedical MRI BibRef

Benkarim, O.M.[Oualid M.], Radeva, P.I.[Petia I.], Igual, L.[Laura],
Label Consistent Multiclass Discriminative Dictionary Learning for MRI Segmentation,
AMDO14(138-147).
Springer DOI 1407
BibRef

Mazo, C.[Claudia], Trujillo, M.[Maria], Salazar, L.[Liliana],
Identifying Loose Connective and Muscle Tissues on Histology Images,
CIARP13(II:174-180).
Springer DOI 1311
BibRef

Ivanovska, T.[Tatyana], Laqua, R.[René], Wang, L.[Lei], Völzke, H.[Henry], Hegenscheid, K.[Katrin],
Fast Implementations of the Levelset Segmentation Method With Bias Field Correction in MR Images: Full Domain and Mask-Based Versions,
IbPRIA13(674-681).
Springer DOI 1307
BibRef

Purushwalkam, S.[Senthil], Li, B.H.[Bai-Hua], Meng, Q.G.[Qing-Gang], McPhee, J.[Jamie],
Automatic Segmentation of Adipose Tissue from Thigh Magnetic Resonance Images,
ICIAR13(451-458).
Springer DOI 1307
BibRef

Selvathi, D., Dhivya, R.,
Segmentation of tissues in MR images using Modified Spatial Fuzzy C Means algorithm,
ICSIPR13(136-140).
IEEE DOI 1304
BibRef

Zhang, H.[Haili], Chen, Y.M.[Yun-Mei], Ye, X.J.[Xiao-Jing],
A variational multiphase model for simultaneous MR image segmentation and bias correction,
ICIP12(2037-2040).
IEEE DOI 1302
BibRef

Baudin, P.Y.[Pierre-Yves], Azzabou, N.[Noura], Carlier, P.[Pierre], Paragios, N.[Nikos],
Manifold-enhanced Segmentation through Random Walks on Linear Subspace Priors,
BMVC12(52).
DOI Link 1301
BibRef

Salehian, H.[Hesamoddin], Cheng, G.[Guang], Vemuri, B.C.[Baba C.], Ho, J.[Jeffrey],
Recursive Estimation of the Stein Center of SPD Matrices and Its Applications,
ICCV13(1793-1800)
IEEE DOI 1403
BibRef

Wang, Y.X.[Yuan-Xiang], Salehian, H.[Hesamoddin], Cheng, G.[Guang], Vemuri, B.C.[Baba C.],
Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI,
CVPR14(3051-3056)
IEEE DOI 1409
Riemannian Manifold;Tractography;Unscented Kalman Filter BibRef

Cheng, G.[Guang], Salehian, H.[Hesamoddin], Vemuri, B.C.[Baba C.],
Efficient Recursive Algorithms for Computing the Mean Diffusion Tensor and Applications to DTI Segmentation,
ECCV12(VII: 390-401).
Springer DOI 1210
BibRef

Liu, Z.[Zheng], Nutter, B.[Brian], Mitra, S.[Sunanda],
Compressive sampling in fast wavelet-encoded MRI,
Southwest12(137-140).
IEEE DOI 1205
BibRef

Ncube, S.[Sentibaleng], Xie, Q.[Qian], Srivastava, A.[Anuj],
A geometric analysis of ODFs as oriented surfaces for interpolation, averaging and denoising in HARDI data,
MMBIA12(1-6).
IEEE DOI 1203
BibRef

Singh, V.[Vimal], Wang, D.[Dan], Tewfik, A.H.[Ahmed H.],
Segmented rapid magnetic resonance imaging using structured sparse representations,
ICIP11(2277-2260).
IEEE DOI 1201
BibRef

Yaqub, M.[Mohammad], Javaid, M.K.[M. Kassim], Cooper, C.[Cyrus], Noble, J.A.[J. Alison],
Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation,
MLMI11(184-192).
Springer DOI 1109
3D MRI Segmentation. BibRef

Zhou, J.[Jiayin], Tian, Q.[Qi], Chong, V.[Vincent], Xiong, W.[Wei], Huang, W.M.[Wei-Min], Wang, Z.M.[Zhi-Min],
Segmentation of Skull Base Tumors from MRI Using a Hybrid Support Vector Machine-Based Method,
MLMI11(134-141).
Springer DOI 1109
BibRef

Farzinfar, M., Teoh, E.K.[Eam Khwang], Xue, Z.[Zhong],
A coupled implicit shape-based deformable model for segmentation of MR images,
ICARCV08(651-656).
IEEE DOI 1109
BibRef

Tran, T.T., Lee, P.L.[Po-Lei], Pham, V.T., Shyu, K.K.[Kuo-Kai],
MRI image segmentation based on fast global minimization of snake model,
ICARCV08(1769-1772).
IEEE DOI 1109
BibRef

Mosbech, T.H.[Thomas Hammershaimb], Pilgaard, K.[Kasper], Vaag, A.[Allan], Larsen, R.[Rasmus],
Automatic Segmentation of Abdominal Adipose Tissue in MRI,
SCIA11(501-511).
Springer DOI 1105
BibRef

Feltell, D.[David], Bai, L.[Li],
A New Marching Cubes Algorithm for Interactive Level Set with Application to MR Image Segmentation,
ISVC10(I: 371-380).
Springer DOI 1011
BibRef

Koh, J.[Jaehan], Chaudhary, V.[Vipin], Dhillon, G.[Gurmeet],
A fully automated method of associating axial slices with a disc based on labeling of multi-protocol lumbar MRI,
ICIP10(4341-4344).
IEEE DOI 1009
BibRef

Turnes, C.K.[Christopher K.], Romberg, J.[Justin],
Spiral FFT: An efficient method for 3-D FFTS on spiral MRI contours,
ICIP10(617-620).
IEEE DOI 1009
BibRef

Khider, M.[Mohamed], Taleb-Ahmed, A.[Abdelmalik], Haddad, B.[Boualem],
Generation of Synthetic Multifractal Realistic Surfaces Based on Natural Model and Lognormal Cascade: Application to MRI Classification,
CIARP10(71-78).
Springer DOI 1011
BibRef

Donoso, R.[Ramiro], Veloz, A.[Alejandro], Allende, H.[Héctor],
Modified Expectation Maximization Algorithm for MRI Segmentation,
CIARP10(63-70).
Springer DOI 1011
BibRef

Li, Y.[Yi], Gao, Z.J.[Zhi-Jun],
A review of segmentation method for MR image,
IASP10(351-357).
IEEE DOI 1004
BibRef

Ray, D.[Dipankar], Majumder, D.D.[D. Dutta],
Development of a Neuro-fuzzy MR Image Segmentation Approach Using Fuzzy C-Means and Recurrent Neural Network,
PReMI09(128-133).
Springer DOI 0912
BibRef

Jřrgensen, P.S.[Peter S.], Larsen, R.[Rasmus], Wraae, K.[Kristian],
Unsupervised Assessment of Subcutaneous and Visceral Fat by MRI,
SCIA09(179-188).
Springer DOI 0906
BibRef

Leinhard, O.D.[O. Dahlqvist], Johansson, A., Rydell, J., Smedby, O., Nystrom, F., Lundberg, P., Borga, M.,
Quantitative abdominal fat estimation using MRI,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Faggian, N., Chen, Z.L.[Zhao-Lin], Johnston, L., Oh, S.H.[Se-Hong], Cho, Z.H.[Zang-Hee], Egan, G.,
A Method for Shape Analysis and Segmentation in MRI,
DICTA08(335-342).
IEEE DOI 0812
BibRef

Goh, A.[Alvina], Lenglet, C.[Christophe], Thompson, P.M.[Paul M.], Vidal, R.[Rene],
A nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI),
CVPR09(2496-2503).
IEEE DOI 0906
MRI data. BibRef

Li, C.M.[Chun-Ming], Gatenby, C.[Chris], Wang, L.[Li], Gore, J.C.[John C.],
A Robust Parametric Method for Bias Field Estimation and Segmentation of MR Images,
CVPR09(218-223).
IEEE DOI 0906
BibRef

Tang, S.Y.[Song-Yuan], Fan, Y.[Yong], Zhu, H.T.[Hong-Tu], Yap, P.T.[Pew-Thian], Gao, W.[Wei], Lin, W.L.[Wei-Li], Shen, D.G.[Ding-Gang],
Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters,
MMBIA09(52-57).
IEEE DOI 0906
BibRef

Jodoin, P.M.[Pierre-Marc], Lalande, A.[Alain], Voisin, Y.[Yvon], Bouchot, O.[Olivier], Steinmetz, E.[Eric],
Markovian method for 2D, 3D and 4D segmentation of MRI,
ICIP08(3012-3015).
IEEE DOI 0810
BibRef

Babacan, S.D.[S. Derin], Yin, X.M.[Xiao-Ming], Larson, A.C.[Andrew C.], Katsaggelos, A.K.[Aggelos K.],
Combination of MR surface coil images using weighted constrained least squares,
ICIP08(2236-2239).
IEEE DOI 0810
BibRef

Placidi, G.[Giuseppe],
Circular Acquisition to Define the Minimal Set of Projections for Optimal MRI Reconstruction,
CompIMAGE10(254-262).
Springer DOI 1006
BibRef

Placidi, G.[Giuseppe], Franchi, D.[Danilo], Galante, A.[Angelo], Sotgiu, A.[Antonello],
A Novel Acceleration Coding/Reconstruction Algorithm for Magnetic Resonance Imaging in Presence of Static Magnetic Field In-Homogeneities,
ISVC08(II: 1115-1124).
Springer DOI 0812
BibRef

Wong, A.[Alexander],
An Iterative Approach to Improved Local Phase Coherence Estimation,
CRV08(301-307).
IEEE DOI 0805
BibRef

Schultz, T.[Thomas], Seidel, H.P.[Hans-Peter],
Using Eigenvalue Derivatives for Edge Detection in DT-MRI Data,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Mayer, G.S., Vrscay, E.R.[Edward R.], Lauzon, M.L., Goodyear, B.G., Mitchell, J.R.,
Self-similarity of Images in the Fourier Domain, with Applications to MRI,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Melonakos, J.[John], Niethammer, M.[Marc], Mohan, V.[Vandana], Kubicki, M.[Marek], Miller, J.V.[James V.], Tannenbaum, A.[Allen],
Locally-Constrained Region-Based Methods for DW-MRI Segmentation,
MMBIA07(1-8).
IEEE DOI 0710
See also Finsler Level Set Segmentation for Imagery in Oriented Domains. BibRef

Assemlal, H.E.[Haz-Edine], Tschumperle, D., Brun, L.,
Fiber Tracking on HARDI Data using Robust ODF Fields,
ICIP07(III: 133-136).
IEEE DOI
WWW Link. 0709
HARDI: High-Angular Resolution MRI. ODF: Orientation Diffusion Functions BibRef

El-Baz, A.S.[Ayman S.], Farag, A.[Aly], Fahmi, R.[Rachid], Yuksela, S.[Seniha], El-Ghar, M.A.[Mohamed A.], Eldiasty, T.[Tarek],
Image Analysis of Renal DCE MRI for the Detection of Acute Renal Rejection,
ICPR06(III: 822-825).
IEEE DOI 0609
BibRef

Liu, J.[Jiang], Leong, T.Y.[Tze-Yun], Chee, K.B.[Kin Ban], Tan, B.P.[Boon Pin], Shuter, B., Wang, S.C.[Shih-Chang],
A Set-based Hybrid Approach (SHA) for MRI Segmentation,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Li, Y.[Yan], Li, Z.M.[Zhong-Ming], Xue, Z.[Zhong],
Segmenting MR Images Using Fully-Tuned Radial Basis Functions (RBF),
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Balov, N.[Nikolay], Srivastava, A.[Anuj], Li, C.M.[Chun-Ming], Ding, Z.H.[Zhao-Hua],
Shape Analysis of Open Curves in R3 with Applications to Study of Fiber Tracts in DT-MRI Data,
EMMCVPR07(399-413).
Springer DOI 0708
BibRef

Danyali, H.[Habibollah], Mertins, A.[Alfred],
Multiresolution Lossy-to-Lossless Coding of MRI Objects,
ACIVS06(877-886).
Springer DOI 0609
BibRef

Cao, Y.[Yan], Miller, M.I.[Michael I.], Mori, S.[Susumu], Winslow, R.L.[Raimond L.], Younes, L.[Laurent],
Diffeomorphic Matching of Diffusion Tensor Images,
MMBIA06(67).
IEEE DOI 0609
BibRef

Balci, M.[Murat], Alnasser, M.[Mais], Foroosh, H.[Hassan],
Subpixel Alignment of MRI Data Under Cartesian and Log-Polar Sampling,
ICPR06(III: 607-610).
IEEE DOI 0609
BibRef

McGraw, T.[Tim], Vemuri, B.C.[Baba C.], Yezierski, R.[Robert], Mareci, T.[Thomas],
Segmentation of High Angular Resolution Diffusion MRI Modeled as a Field of von Mises-Fisher Mixtures,
ECCV06(III: 463-475).
Springer DOI 0608
BibRef

Bronstein, A.M., Bronstein, M.M., Zibulevsky, M., Zeevi, Y.Y.,
'Unmixing' Tissues: Sparse Component Analysis in Multi-Contrast MRI,
ICIP05(II: 1282-1285).
IEEE DOI 0512
BibRef

Persson, M.[Markus], Solem, J.E.[Jan Erik], Markenroth, K.[Karin], Svensson, J.[Jonas], Heyden, A.[Anders],
Phase Contrast MRI Segmentation Using Velocity and Intensity,
ScaleSpace05(119-130).
Springer DOI 0505
BibRef

Chen, W.F.[Wu-Fan], Zhou, S.J.[Shou-Jun], Liang, B.[Bin],
LV contour tracking in MRI sequences based on the generalized fuzzy GVF,
ICIP04(I: 373-376).
IEEE DOI 0505
BibRef

Minagawa, A., Takahashi, S., Tagawa, N.,
Strain Calculation from Sinusoidal Tagged MR Images Via Moire Analysis,
ICIP03(I: 1073-1076).
IEEE DOI 0312
BibRef

Hellier, P.,
Consistent intensity correction of MR images,
ICIP03(I: 1109-1112).
IEEE DOI 0312
BibRef

Ardizzone, E.[Edoardo], Pirrone, R.[Roberto], Gambino, O.[Orazio],
Automatic segmentation of MR images based on adaptive anisotropic filtering,
CIAP03(283-288).
IEEE DOI 0310
BibRef

Desbleds-Mansard, C.[Catherine], Anwander, A.[Alfred], Chaabane, L.[Linda], Orkisz, M.[Maciej], Neyran, B.[Bruno], Douek, P.C.[Philippe C.], Magnin, I.E.[Isabelle E.],
Dynamic Active Contour Model for Size Independent Blood Vessel Lumen Segmentation and Quantification in High-Resolution Magnetic Resonance Images,
CAIP01(264 ff.).
Springer DOI 0210
BibRef

Hill, N.[Naomi], Boyle, R.[Roger], Berry, E.[Elizabeth],
A Deformable Model using Probabalistic Labelling and Surface Relaxation to Segment MR Volumes,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Thacker, N.A., Lacey, A.J., Bromiley, P.A.,
Validating MRI Field Homogeneity Correction Using Image Information Measures,
BMVC02(Poster Session). 0208
BibRef

Tschumperlé, D., Deriche, R.,
Diffusion Tensor Regularization with Constraints Preservation,
CVPR01(I:948-953).
IEEE DOI 0110
Regularization applied to MRI data. BibRef

Kobashi, S., Takae, T., Kitamura, Y., Hata, Y., Yanagida, T.,
Fuzzy Medical Image Processing for Segmenting the Lateral Ventricles from MR Images,
ICIP01(III: 1095-1098).
IEEE DOI 0108
BibRef

Vemuri, B.C., Chen, Y., Rao, M., McGraw, T., Mareci, T.H.,
Fiber Tract Mapping from Diffusion Tensor MRI,
LevelSet01(xx-yy). 0106
BibRef

Rifai, H., Bloch, I., Wiart, J., Garnero, L.,
Segmentation, Tracking, 3D Modelling and Matching of the Inner Ear Based on MRI Data,
SCIA99(Biological Applications I). BibRef 9900

Garza-Jinich, M., Meer, P., Medina, V.,
Robust Retrieval of 3D Structures from Magnetic Resonance Images,
ICPR96(III: 391-395).
IEEE DOI 9608
(Univ. Nacional Autonoma, MEX) BibRef

Lin, J.S., Cheng, K.S., Mao, C.W.,
A Modified Hopfield Neural Network with Fuzzy C-Means Technique for Multispectral MR Image Segmentation,
ICIP96(I: 327-330).
IEEE DOI BibRef 9600

Bello, F., Colchester, A.C.F., Röll, S.A.,
A generalised geometry and intensity based partial volume correction for magnetic resonance images,
CIAP97(II: 428-435).
Springer DOI 9709
BibRef

Ito, S., Sato, O., Yamada, Y., Kamimura, Y.,
On-line holographic reconstruction of NMR images by means of a liquid crystal spatial light modulator,
ICIP96(III: 531-534).
IEEE DOI 9610
BibRef

Wang, Y.[Yue], Lei, T.[Tianhu],
Statistical analysis of MR imaging and its applications in image modeling,
ICIP94(I: 866-870).
IEEE DOI 9411
BibRef
And:
A new stochastic model-based image segmentation technique for MR image,
ICIP94(II: 182-186).
IEEE DOI 9411
BibRef

Lee, J.L., Rodriguez, J.J.,
Edge-based segmentation of 3-D magnetic resonance images,
ICIP94(I: 876-880).
IEEE DOI 9411
BibRef

Pien, H.H., Gauch, J.M.,
Variational segmentation of multi-channel MRI images,
ICIP94(III: 508-512).
IEEE DOI 9411
BibRef

Yan, H.[Hong], Mao, J.[Jingtong], Zhu, Y.[Yan], Chen, B.,
Magnetic resonance image segmentation using optimized nearest neighbor classifiers,
ICIP94(III: 49-52).
IEEE DOI 9411
BibRef

Gath, I., Hoory, D.,
Detection of elliptic shells using fuzzy clustering: Application to MRI images,
ICPR94(B:251-255).
IEEE DOI 9410
BibRef

Amamoto, D.Y., Kasturi, R., Mamourian, A.,
Tissue-type discrimination in magnetic resonance images,
ICPR90(I: 603-607).
IEEE DOI 9006
BibRef

Brelstaff, G.J., Ibison, M.C., Elliott, P.J.,
Edge-region integration for segmentation of MR images,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Young, I.R., Hall, A.S.,
Observations of the choice of reconstruction matrix in magnetic resonance imaging,
ICPR88(II: 1187-1191).
IEEE DOI 8811
BibRef

Merickel, M.B., Carman, C.S., Watterson, W.K., Brookeman, J.R., Ayers, C.R.,
Multispectral pattern recognition of MR imagery for the noninvasive analysis of atherosclerosis,
ICPR88(II: 1192-1197).
IEEE DOI 8811
BibRef

Suzuki, H., Toriwaki, J.,
Knowledge-guided automatic thresholding for 3-dimensional display of head MRI images,
ICPR88(II: 1210-1212).
IEEE DOI 8811
BibRef

Li, C.C., Gokmen, M., Hirschman, A.D., Wang, Y.,
Information preserving image compression for archiving NMR images,
ICPR88(II: 1295-1299).
IEEE DOI 8811
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Magnetic Resonance Imaging, Registration, Alignment .


Last update:Nov 18, 2017 at 20:56:18