11.8.9.1 Deformable Models, Cardiac Motion Models for Volumes, Left Ventricle

Young, A.A., Hunter, P.J., and Small, B.H.,
Epicardial Surface Estimation from Coronary Angiograms,
CVGIP(47), No. 1, July 1989, pp. 111-127.
Elsevier DOI coronary arterial tree. BibRef 8907

Bai, Z.D., Krishnaiah, P.R., Rao, C.R., Reddy, P.S., Sun, Y.N., and Zhao, L.C.,
Reconstruction of the Left Ventricle from Two Orthogonal Projections,
CVGIP(47), No. 2, August 1989, pp. 165-188.
Elsevier DOI From the biplane angiocardiograms. BibRef 8908

Amini, A.A.[Amir A.], Duncan, J.S.[James S.],
Bending and Stretching Models for LV Wall Motion Analysis from Curves and Surfaces,
IVC(10), No. 6, July-August 1992, pp. 418-430.
Elsevier DOI BibRef 9207
Earlier:
Pointwise Tracking of Left-Ventricular Motion in 3D,
Motion91(294-299). Uses slice data as from a CAT scan, track using a model of the surface. BibRef

McEachen, II, J.C., Nehorai, A., Duncan, J.S.,
Estimating cardiac motion from image sequences using recursive comb filtering,
ICIP95(II: 496-499).
IEEE DOI 9510
BibRef

Chen, C.W.[Chang Wen], Huang, T.S.[Thomas S.], and Arrott, M.[Matthew],
Modeling, Analysis, and Visualization of Left Ventricle Shape and Motion by Hierarchical Decomposition,
PAMI(16), No. 4, April 1994, pp. 342-356.
IEEE DOI BibRef 9404

Huang, T.S.[Thomas S.],
Modeling, Analysis, and Visualization of Nonrigid Object Motion,
ICPR90(I: 361-364).
IEEE DOI BibRef 9000

Chalana, V., Linker, D.T., Haynor, D.R., Kim, Y.M.[Yong-Min],
A multiple active contour model for cardiac boundary detection on echocardiographic sequences,
MedImg(15), No. 3, June 1996, pp. 290-298.
IEEE Top Reference. 0203
BibRef

Chalana, V., Kim, Y.,
A methodology for evaluation of boundary detection algorithms on medical images,
MedImg(16), No. 5, October 1997, pp. 642-652.
IEEE Top Reference. 0205
Evaluation, Deformable Models. BibRef

Park, J.[Jinah], Metaxas, D.N., Young, A.A., Axel, L.,
Deformable models with parameter functions for cardiac motion analysis from tagged MRI data,
MedImg(15), No. 3, June 1996, pp. 278-289.
IEEE Top Reference. 0203
BibRef

Park, J., Metaxas, D.N., Young, A.A.,
Deformable Models With Parameter Functions: Application to Heart-Wall Modeling,
CVPR94(437-442).
IEEE DOI BibRef 9400

Young, A.A., Axel, L.,
Non-Rigid Heart Wall Motion Using MR Tagging,
CVPR92(399-404).
IEEE DOI BibRef 9200

Park, J.[Jinah], Metaxas, D.N.[Dimitri N.], Axel, L.[Leon],
Volumetric Deformable Models with Parameter Functions: A New Approach to the 3D Motion Analysis of the LV from MRI-SPAMM,
ICCV95(700-705).
IEEE DOI BibRef 9500

Qian, Z., Liu, Q.S., Metaxas, D.N., Axel, L.,
Identifying Regional Cardiac Abnormalities From Myocardial Strains Using Nontracking-Based Strain Estimation and Spatio-Temporal Tensor Analysis,
MedImg(30), No. 12, December 2011, pp. 2017-2029.
IEEE DOI 1112
BibRef

Declerck, J., Feldmar, J., Goris, M.L., Betting, F.,
Automatic Registration and Alignment on a Template of Cardiac Stress and Rest Reoriented SPECT Images,
MedImg(16), No. 6, December 1997, pp. 727-737.
IEEE Top Reference. 9803
BibRef
Earlier:
Automatic Registration and Alignment on a Template of Cardiac Stress and Rest SPECT Images,
MMBIA96(Deformable Models I) BibRef

Mikic, I., Krucinski, S., Thomas, J.D.,
Segmentation and Tracking in Echocardiographic Sequences: Active Contours Guided by Optical Flow Estimates,
MedImg(17), No. 2, April 1998, pp. 274-284.
IEEE Top Reference. 9808
BibRef

Clarysse, P., Friboulet, D., Magnin, I.E.,
Tracking geometrical descriptors on 3-D deformable surfaces: application to the left-ventricular surface of the heart,
MedImg(16), No. 4, August 1997, pp. 392-404.
IEEE Top Reference. 0205
BibRef

Klein, A.K., Lee, F., Amini, A.A.,
Quantitative coronary angiography with deformable spline models,
MedImg(16), No. 5, October 1997, pp. 468-482.
IEEE Top Reference. 0205
BibRef

Amini, A.A., Huang, J.T.[Jian-Tao], Klein, A.K., Radeva, P.I., Elayyadi, M.,
Flexible shapes for segmentation and tracking of cardiovascular data,
ICIP98(II: 5-9).
IEEE DOI 9810
BibRef

Setarehdan, S.K., Soraghan, J.J.,
Automatic Left Ventricular Center Point Extraction in Echocardiographic Images,
SP(61), No. 3, September 1997, pp. 275-288. 9712
BibRef

Setarehdan, S.K., Soraghan, J.J.,
Cardiac Left Ventricular Volume Changes Assessment by Long Axis Echocardiographical Image Processing,
VISP(145), No. 3, June 1998, pp. 203-212. 9808
BibRef

Benayoun, S.[Serge], Ayache, N.[Nicholas],
Dense Nonrigid Motion Estimation in Sequences of Medical Images Using Differential Constraints,
IJCV(26), No. 1, January 1998, pp. 25-40.
DOI Link 9804
BibRef
Earlier: CAIP95(254-261).
Springer DOI 9509
BibRef

Benayoun, S., Nastar, C., Ayache, N.,
Dense Non-Rigid Motion Estimation in Sequences of 3D Images Using Differential Constraints,
CVRMed95(XX-YY) BibRef 9500

Benayoun, S., Kharitonsky, D., Zilberman, A., Peleg, S.,
Local Quantitative Measurements for Cardiac Motion Analysis,
ECCV96(II:262-271).
Springer DOI BibRef 9600

Zhu, Y.D.[Yu-Dong], Pelc, N.J.,
A spatiotemporal model of cyclic kinematics and its application to analyzing nonrigid motion with MR velocity images,
MedImg(18), No. 7, July 1999, pp. 557-569.
IEEE Top Reference. 0110
BibRef
Earlier:
A Spatiotemporal Finite Element Mesh Model of Cyclical Deforming Motion and Its Application in Myocardial Motion Analysis Using Phase Contrast MR Images,
ICIP97(II: 117-120).
IEEE DOI BibRef

Kelemen, A., Szekely, G., Gerig, G.,
Elastic model-based segmentation of 3-D neuroradiological data sets,
MedImg(18), No. 10, October 1999, pp. 828-839.
IEEE Top Reference. 0110
BibRef

Shi, P.C.[Peng-Cheng], Sinusas, A.J.[Albert J.], Constable, R.T.[R. Todd], Duncan, J.S.[James S.],
Volumetric Deformation Analysis Using Mechanics-Based Data Fusion: Applications in Cardiac Motion Recovery,
IJCV(35), No. 1, November 1999, pp. 87-107.
DOI Link Nonrigid Motion. Dense field motion analysis. BibRef 9911

Huang, X.J.[Xiao-Jie], Lin, B.A.[Ben A.], Compas, C.B.[Colin B.], Sinusas, A.J.[Albert J.], Staib, L.H.[Lawrence H.], Duncan, J.S.[James S.],
Segmentation of left ventricles from echocardiographic sequences via sparse appearance representation,
MMBIA12(305-312).
IEEE DOI 1203
BibRef

Compas, C.B., Wong, E.Y., Huang, X., Sampath, S., Lin, B.A., Pal, P., Papademetris, X., Thiele, K., Dione, D.P., Stacy, M., Staib, L.H., Sinusas, A.J., O'Donnell, M., Duncan, J.S.,
Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography,
MedImg(33), No. 6, June 2014, pp. 1275-1289.
IEEE DOI 1407
BibRef
And: Correction: MedImg(34), No. 2, February 2015, pp. 690-690.
IEEE DOI 1502
Biomedical image processing. Computed tomography BibRef

Parajuli, N.[Nripesh], Compas, C.B.[Colin B.], Lin, B.A.[Ben A.], Sampath, S.[Smita], O'Donnell, M.[Matthew], Sinusas, A.J.[Albert J.], Duncan, J.S.[James S.],
Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis,
FIMH15(57-64).
Springer DOI 1507
BibRef

Compas, C.B.[Colin B.], Lin, B.A.[Ben A.], Sampath, S.[Smita], Jia, C.X.[Cong-Xian], Wei, Q.F.[Qi-Feng], Sinusas, A.J.[Albert J.], Duncan, J.S.[James S.],
Multi-frame Radial Basis Functions to Combine Shape and Speckle Tracking for Cardiac Deformation Analysis in Echocardiography,
FIMH11(113-120).
Springer DOI 1105
BibRef

Kompatsiaris, I., Tzovaras, D., Koutkias, V., Strintzis, M.G.,
Deformable boundary detection of stents in angiographic images,
MedImg(19), No. 6, June 2000, pp. 652-662.
IEEE Top Reference. 0110
BibRef

McLeish, K., Hill, D.L.G., Atkinson, D., Blackall, J.M., Razavi, R.,
A study of the motion and deformation of the heart due to respiration,
MedImg(21), No. 9, September 2002, pp. 1142-1150.
IEEE Top Reference. 0301
BibRef

Ablitt, N.A., Gao, J., Keegan, J., Stegger, L., Firmin, D.N., Yang, G.Z.,
Predictive Cardiac Motion Modeling and Correction With Partial Least Squares Regression,
MedImg(23), No. 10, October 2004, pp. 1315-1324.
IEEE Abstract. 0410
BibRef

Spottiswoode, B.S., Zhong, X., Hess, A.T., Kramer, C.M., Meintjes, E.M., Mayosi, B.M., Epstein, F.H.,
Tracking Myocardial Motion From Cine DENSE Images Using Spatiotemporal Phase Unwrapping and Temporal Fitting,
MedImg(26), No. 1, January 2007, pp. 15-30.
IEEE DOI 0701
BibRef

Veress, A.I.[Alexander I.], Segars, W.P., Weiss, J.A.[Jeffrey A.], Tsui, B.M.W., Gullberg, G.T.,
Normal and Pathological NCAT Image and Phantom Data Based on Physiologically Realistic Left Ventricle Finite-Element Models,
MedImg(25), No. 12, December 2006, pp. 1604-1616.
IEEE DOI 0701
BibRef

Phatak, N.S.[Nikhil S.], Maas, S.A.[Steve A.], Veress, A.I.[Alexander I.], Pack, N.A.[Nathan A.], di Bella, E.V.R.[Edward V. R.], Weiss, J.A.[Jeffrey A.],
Strain Measurement in the Left Ventricle During Systole with Deformable Image Registration,
FIMH07(32-40).
Springer DOI 0706
BibRef

Veress, A.I.[Alexander I.], Segars, W.P., Tsui, B.M.W., Gullberg, G.T.,
Incorporation of a Left Ventricle Finite Element Model Defining Infarction Into the XCAT Imaging Phantom,
MedImg(30), No. 4, April 2011, pp. 915-927.
IEEE DOI 1104
BibRef

Kalmoun, E.M.[El Mostafa], Kostler, H.[Harald], Rude, U.[Ulrich],
3D optical flow computation using a parallel variational multigrid scheme with application to cardiac C-arm CT motion,
IVC(25), No. 9, 1 September 2007, pp. 1482-1494.
Elsevier DOI 0707
3D optical flow; Horn-Schunck model; Multigrid; Galerkin coarsening; Parallelization; Cardiac C-arm CT motion BibRef

Bistoquet, A.[Arnaud], Oshinski, J., Škrinjar, O.[Oskar],
Left Ventricular Deformation Recovery From Cine MRI Using an Incompressible Model,
MedImg(26), No. 9, September 2007, pp. 1136-1153.
IEEE DOI 0710
BibRef

Bistoquet, A.[Arnaud], Parks, W.J.[W. James], Škrinjar, O.[Oskar],
Cardiac Deformation Recovery using a 3D Incompressible Deformable Model,
MMBIA06(69).
IEEE DOI 0609
BibRef
And:
Myocardial Deformation Recovery Using a 3D Biventricular Incompressible Model,
WBIR06(110-119).
Springer DOI 0607
BibRef

Lynch, M., Ghita, O., Whelan, P.F.,
Segmentation of the Left Ventricle of the Heart in 3-D+t MRI Data Using an Optimized Nonrigid Temporal Model,
MedImg(27), No. 2, February 2008, pp. 195-203.
IEEE DOI 0802
BibRef

Moreno, A., Takemura, C.M., Colliot, O., Camara, O., Bloch, I.,
Using anatomical knowledge expressed as fuzzy constraints to segment the heart in CT images,
PR(41), No. 8, August 2008, pp. 2525-2540.
Elsevier DOI 0805
Heart segmentation; Spatial relations; Anatomical knowledge; Deformable models; Fuzzy logic; CT BibRef

Bergvall, E.[Erik], Hedström, E.[Erik], Bloch, K.M.[K. Markenroth], Arheden, H.[Håkan], Sparr, G.[Gunnar],
Spline-Based Cardiac Motion Tracking Using Velocity-Encoded Magnetic Resonance Imaging,
MedImg(27), No. 8, August 2008, pp. 1045-1053.
IEEE DOI 0808
BibRef
And: Correction: MedImg(30), No. 1, January 2011, pp. 169.
IEEE DOI 1101
BibRef
Earlier: A1, A2, A4, A5, Only:
Model Based Cardiac Motion Tracking Using Velocity Encoded Magnetic Resonance Imaging,
SCIA07(82-91).
Springer DOI 0706
BibRef

Nanayakkara, N.D., Chiu, B., Samani, A., Spence, J.D., Samarabandu, J., Fenster, A.,
A 'Twisting and Bending' Model-Based Nonrigid Image Registration Technique for 3-D Ultrasound Carotid Images,
MedImg(27), No. 10, October 2008, pp. 1378-1388.
IEEE DOI 0810
BibRef

Zheng, Y.F.[Ye-Feng], Barbu, A.[Adrian], Georgescu, B.[Bogdan], Scheuering, M.[Michael], Comaniciu, D.[Dorin],
Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features,
MedImg(27), No. 11, November 2008, pp. 1668-1681.
IEEE DOI 0811
BibRef
Earlier:
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Zheng, Y.F.[Ye-Feng], Georgescu, B.[Bogdan], Ling, H.B.[Hai-Bin], Zhou, S.K.[S. Kevin], Scheuering, M.[Michael], Comaniciu, D.[Dorin],
Constrained marginal space learning for efficient 3D anatomical structure detection in medical images,
CVPR09(194-201).
IEEE DOI 0906
BibRef

Zhou, S.K.[S. Kevin],
Discriminative anatomy detection: Classification vs regression,
PRL(43), No. 1, 2014, pp. 25-38.
Elsevier DOI 1404
Anatomy detection BibRef

Carneiro, G.[Gustavo], Nascimento, J.C.[Jacinto C.], Freitas, A.,
The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods,
IP(21), No. 3, March 2012, pp. 968-982.
IEEE DOI 1203
BibRef

Carneiro, G.[Gustavo], Nascimento, J.C.[Jacinto C.],
Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data,
PAMI(35), No. 11, 2013, pp. 2592-2607.
IEEE DOI 1309
BibRef
And: A2, A1:
Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery,
ICIP13(743-746)
IEEE DOI 1402
Image segmentation Left ventricle segmentation BibRef
And: A2, A1:
On-line re-training and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging,
ICIP12(2001-2004).
IEEE DOI 1302
BibRef
And: A1, A2:
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound,
CVPR12(948-955).
IEEE DOI 1208
BibRef
Earlier: A1, A2:
Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound data,
ICCV11(1700-1707).
IEEE DOI 1201
BibRef
Earlier: A2, A1:
Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images,
ICIP11(2021-2024).
IEEE DOI 1201
BibRef
Earlier: A1, A2:
Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures,
CVPR10(2815-2822).
IEEE DOI 1006

See also Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking, The.
See also Deep Learning on Sparse Manifolds for Faster Object Segmentation. BibRef

Zhou, S.K.[S. Kevin], Guo, F., Park, J.H., Carneiro, G., Jackson, J., Brendel, M., Simopoulos, C., Otsuki, J., Comaniciu, D.,
A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure,
ICCV07(1-8).
IEEE DOI 0710
Heart BibRef

Sundar, H.[Hari], Litt, H.[Harold], Shen, D.G.[Ding-Gang],
Estimating myocardial motion by 4D image warping,
PR(42), No. 11, November 2009, pp. 2514-2526.
Elsevier DOI 0907
Image registration; Cardiac motion estimation; Spatio-temporal normalization BibRef

Hoogendoorn, C.[Corné], Sukno, F.M.[Federico M.], Ordás, S.[Sebastián], Frangi, A.F.[Alejandro F.],
Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Left Ventricular, Biventricular and Whole Heart Cardiac Dynamics,
IJCV(85), No. 3, December 2009, pp. xx-yy.
Springer DOI 0911
BibRef
Earlier:
Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Whole Heart Cardiac Dynamics,
MMBIA07(1-8).
IEEE DOI 0710

See also Active Shape Models with Invariant Optimal Features: Application to Facial Analysis. BibRef

Wilson, K., Guiraudon, G., Jones, D.L., Peters, T.M.,
Mapping of Cardiac Electrophysiology Onto a Dynamic Patient-Specific Heart Model,
MedImg(28), No. 12, December 2009, pp. 1870-1880.
IEEE DOI 0912
BibRef

Ben Ayed, I., Li, S., Ross, I.,
Embedding Overlap Priors in Variational Left Ventricle Tracking,
MedImg(28), No. 12, December 2009, pp. 1902-1913.
IEEE DOI 0912
BibRef

Chen, T., Wang, X., Chung, S.H., Metaxas, D.N., Axel, L.,
Automated 3D Motion Tracking Using Gabor Filter Bank, Robust Point Matching, and Deformable Models,
MedImg(29), No. 1, January 2010, pp. 1-11.
IEEE DOI 1001
BibRef

Wang, X.X.[Xiao-Xu], Metaxas, D.N.[Dimitis N.], Chen, T.[Ting], Axel, L.[Leon],
Meshless deformable models for LV motion analysis,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Shen, T.[Tian], Huang, X.L.[Xiao-Lei], Li, H.S.[Hong-Sheng], Kim, E.[Edward], Zhang, S.T.[Shao-Ting], Huang, J.Z.[Jun-Zhou],
A 3D Laplacian-driven parametric deformable model,
ICCV11(279-286).
IEEE DOI 1201
BibRef

Gao, M.C.[Ming-Chen], Huang, J.Z.[Jun-Zhou], Zhang, S.T.[Shao-Ting], Qian, Z.[Zhen], Voros, S.[Szilard], Metaxas, D.N.[Dimitris N.], Axel, L.[Leon],
4D Cardiac Reconstruction Using High Resolution CT Images,
FIMH11(153-160).
Springer DOI 1105
BibRef

Chen, T.[Ting], Chung, S.H.[So-Hae], Axel, L.[Leon],
Automated Tag Tracking Using Gabor Filter Bank, Robust Point Matching, and Deformable Models,
FIMH07(22-31).
Springer DOI 0706
BibRef

Garcia-Barnes, J., Gil, D., Badiella, L., Hernandez-Sabate, A., Carreras, F., Pujades, S., Marti, E.,
A Normalized Framework for the Design of Feature Spaces Assessing the Left Ventricular Function,
MedImg(29), No. 3, March 2010, pp. 733-745.
IEEE DOI 1003
BibRef

Arts, T., Prinzen, F.W., Delhaas, T., Milles, J.R., Rossi, A.C., Clarysse, P.,
Mapping Displacement and Deformation of the Heart With Local Sine-Wave Modeling,
MedImg(29), No. 5, May 2010, pp. 1114-1123.
IEEE DOI 1006
BibRef

Ionasec, R.I.[Razvan Ioan], Voigt, I.[Ingmar], Georgescu, B.[Bogdan], Wang, Y.[Yang], Houle, H., Vega-Higuera, F., Navab, N.[Nassir], Comaniciu, D.[Dorin],
Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE,
MedImg(29), No. 9, September 2010, pp. 1636-1651.
IEEE DOI 1003
BibRef

Zhong, H.[Hua], Zheng, Y.F.[Ye-Feng], Funka-Lea, G.[Gareth], Vega-Higuera, F.[Fernando],
Automatic Heart Isolation in 3D CT Images,
MCVM12(165-180).
Springer DOI 1305
BibRef

Ionasec, R.I.[Razvan Ioan], Wang, Y.[Yang], Georgescu, B.[Bogdan], Voigt, I.[Ingmar], Navab, N.[Nassir], Comaniciu, D.[Dorin],
Robust Motion Estimation Using Trajectory Spectrum Learning: Application to Aortic and Mitral Valve Modeling from 4D TEE,
ICCV09(1601-1608).
IEEE DOI
WWW Link. 0909
BibRef

Abdallah, A.B.[A. Ben], Ghorbel, F., Chatti, K., Essabbah, H., Bedoui, M.H.,
A new uniform parameterization and invariant 3D spherical harmonic shape descriptors for shape analysis of the heart's left ventricle: A pilot study,
PRL(31), No. 13, 1 October 2010, pp. 1981-1990.
Elsevier DOI 1003
Spherical harmonic model; Uniform parameterization; Rotation invariant 3D shape descriptors; Left ventricle; Myocardial scintigraphy BibRef

O'Brien, S.P., Ghita, O., Whelan, P.F.,
A Novel Model-Based 3D {+} Time Left Ventricular Segmentation Technique,
MedImg(30), No. 2, February 2011, pp. 461-474.
IEEE DOI 1102
BibRef

Wong, K.C.L., Wang, L., Zhang, H., Liu, H., Shi, P.,
Physiological Fusion of Functional and Structural Images for Cardiac Deformation Recovery,
MedImg(30), No. 4, April 2011, pp. 990-1000.
IEEE DOI 1104
BibRef

Florack, L.M.J.[Luc M.J.], van Assen, H.[Hans],
Multiplicative Calculus in Biomedical Image Analysis,
JMIV(42), No. 1, January 2012, pp. 64-75.
WWW Link. 1201
Non-Newtonian calculus. Cardiac strain analysis. BibRef

Becciu, A.[Alessandro], Janssen, B.J.[Bart J.], van Assen, H.[Hans], Florack, L.M.J.[Luc M.J.], Roode, V.[Vivian], ter Haar Romeny, B.M.[Bart M.],
Extraction of Cardiac Motion Using Scale-Space Features Points and Gauged Reconstruction,
CAIP09(598-605).
Springer DOI 0909
BibRef

Becciu, A.[Alessandro], van Assen, H.[Hans], Florack, L.M.J.[Luc M.J.], Kozerke, S.[Sebastian], Roode, V.[Vivian], ter Haar Romeny, B.M.[Bart M.],
A Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation,
SSVM09(588-599).
Springer DOI 0906
BibRef

Florack, L.M.J.[Luc M.J.], van Assen, H.[Hans], Suinesiaputra, A.[Avan],
Dense Multiscale Motion Extraction from Cardiac Cine MR Tagging using HARP Technology,
MMBIA07(1-8).
IEEE DOI 0710
BibRef

Metz, C.T., Baka, N., Kirisli, H., Schaap, M., Klein, S., Neefjes, L.A., Mollet, N.R., Lelieveldt, B., de Bruijne, M., Niessen, W.J., van Walsum, T.,
Regression-Based Cardiac Motion Prediction From Single-Phase CTA,
MedImg(31), No. 6, June 2012, pp. 1311-1325.
IEEE DOI 1206
BibRef

Bhat, S., Ohn, J., Liebling, M.,
Motion-Based Structure Separation for Label-Free High-Speed 3-D Cardiac Microscopy,
IP(21), No. 8, August 2012, pp. 3638-3647.
IEEE DOI 1208
BibRef

Gnahm, C.[Claudia], Hartung, C.[Christine], Friedl, R.[Reinhard], Hoffmann, M.[Martin], Dietmayer, K.[Klaus],
Registration of cardiac MSCT and optical tracking data: Image-guided CABG at the arrested heart,
BMVA(2009), No. 2, 2009, pp. 1-11.
PDF File. 1209
BibRef

Lamata, P., Roy, I., Blazevic, B., Crozier, A., Land, S., Niederer, S.A., Hose, D.R., Smith, N.P.,
Quality Metrics for High Order Meshes: Analysis of the Mechanical Simulation of the Heart Beat,
MedImg(32), No. 1, January 2013, pp. 130-138.
IEEE DOI 1301
BibRef

Moya-Albor, E.[Ernesto], Escalante-Ramírez, B.[Boris], Vallejo, E.[Enrique],
Optical flow estimation in cardiac CT images using the steered Hermite transform,
SP:IC(28), No. 3, March 2013, pp. 267-291.
Elsevier DOI 1303
Optical flow; Differential method; Steered Hermite transform; Steerable filters; Cardiac CT imaging BibRef

Bhat, S., Larina, I.V., Larin, K.V., Dickinson, M.E., Liebling, M.,
4D Reconstruction of the Beating Embryonic Heart From Two Orthogonal Sets of Parallel Optical Coherence Tomography Slice-Sequences,
MedImg(32), No. 3, March 2013, pp. 578-588.
IEEE DOI 1303
BibRef

Wang, L., Dawoud, F., Yeung, S.K., Shi, P., Wong, K.C.L., Liu, H., Lardo, A.C.,
Transmural Imaging of Ventricular Action Potentials and Post-Infarction Scars in Swine Hearts,
MedImg(32), No. 4, April 2013, pp. 731-747.
IEEE DOI 1304
BibRef

Wang, L.C.[Li-Chao], Lekadir, K., Lee, S.L.[Su-Lin], Merrifield, R.[Robert], Yang, G.Z.[Guang-Zhong],
A General Framework for Context-Specific Image Segmentation Using Reinforcement Learning,
MedImg(32), No. 5, May 2013, pp. 943-956.
IEEE DOI 1305
BibRef

Wang, L.C.[Li-Chao], Lee, S.L.[Su-Lin], Merrifield, R.[Robert], Yang, G.Z.[Guang-Zhong],
Subject-Specific Cardiac Segmentation Based on Reinforcement Learning with Shape Instantiation,
MLMI11(300-307).
Springer DOI 1109
BibRef

Metz, C.T., Schaap, M., Klein, S., Baka, N., Neefjes, L.A., Schultz, J., Niessen, W.J., van Walsum, T.,
Registration of 3D+t Coronary CTA and Monoplane 2D+t X-Ray Angiography,
MedImg(32), No. 5, May 2013, pp. 919-931.
IEEE DOI 1305
BibRef

Zhang, D.P.[Dong Ping], Risser, L.[Laurent], Friman, O.[Ola], Metz, C.T.[Coert T.], Neefjes, L.A.[Lisan A.], Mollet, N.[Nico], Niessen, W.J.[Wiro J.], Rueckert, D.[Daniel],
Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA,
WBIR10(210-221).
Springer DOI 1007
BibRef

Esteghamatian, M.[Mehdi], Azimifar, Z.[Zohreh], Radau, P.[Perry], Wright, G.[Graham],
Real time cardiac image registration during respiration: a time series prediction approach,
RealTimeIP(8), No. 2, June 2013, pp. 179-191.
Springer DOI 1306
BibRef

Yang, R., Mirmehdi, M., Xie, X., Hall, D.,
Shape and appearance priors for level set-based left ventricle segmentation,
IET-CV(7), No. 3, 2013, pp. -.
DOI Link 1307
BibRef

Wu, Y.W.[Yu-Wei], Wang, Y.Q.[Yuan-Quan], Jia, Y.D.[Yun-De],
Segmentation of the left ventricle in cardiac cine MRI using a shape-constrained snake model,
CVIU(117), No. 9, 2013, pp. 990-1003.
Elsevier DOI 1307
Left ventricle segmentation BibRef

Woo, J.H.[Jong-Hye], Slomka, P.J.[Piotr J.], Kuo, C.C.J.[C.C. Jay], Hong, B.W.[Byung-Woo],
Multiphase segmentation using an implicit dual shape prior: Application to detection of left ventricle in cardiac MRI,
CVIU(117), No. 9, 2013, pp. 1084-1094.
Elsevier DOI 1307
Segmentation BibRef

Tavakoli, V.[Vahid], Amini, A.A.[Amir A.],
A survey of shaped-based registration and segmentation techniques for cardiac images,
CVIU(117), No. 9, 2013, pp. 966-989.
Elsevier DOI 1307
Survey, Cardiac Segmentation. Cardiac CT BibRef

Moyer, C.B., Helm, P.A., Clarke, C.J., Budge, L.P., Kramer, C.M., Ferguson, J.D., Norton, P.T., Holmes, J.W.,
Wall-Motion Based Analysis of Global and Regional Left Atrial Mechanics,
MedImg(32), No. 10, 2013, pp. 1765-1776.
IEEE DOI 1311
biomedical MRI BibRef

Wei, H.J.[Hong-Jiang], Viallon, M., Delattre, B.M.A., Wang, L.H.[Li-Hui], Pai, V.M., Wen, H.[Han], Xue, H.[Hui], Guetter, C., Croisille, P., Zhu, Y.M.[Yue-Min],
Assessment of Cardiac Motion Effects on the Fiber Architecture of the Human Heart In Vivo,
MedImg(32), No. 10, 2013, pp. 1928-1938.
IEEE DOI 1311
Monte Carlo methods BibRef

Li, P.[Peng], Liu, C.Y.[Cheng-Yu], Wang, X.[Xinpei], Zheng, D.C.[Ding-Chang], Li, Y.Y.[Yuan-Yang], Liu, C.C.[Chang-Chun],
A low-complexity data-adaptive approach for premature ventricular contraction recognition,
SIViP(8), No. 1, January 2014, pp. 111-120.
Springer DOI 1402
BibRef

Dakua, S.P.,
Annularcut: A graph-cut design for left ventricle segmentation from magnetic resonance images,
IET-IPR(8), No. 1, January 2014, pp. 1-11.
DOI Link 1403
biomedical MRI BibRef

Dakua, S.P., Sahambi, J.S.,
Weighting function in Random Walk based left ventricle segmentation,
ICIP11(2133-2136).
IEEE DOI 1201
BibRef

Afshin, M., Ben Ayed, I., Punithakumar, K., Law, M., Islam, A., Goela, A., Peters, T., Li, S.[Shuo],
Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features,
MedImg(33), No. 2, February 2014, pp. 481-494.
IEEE DOI 1403
biomedical MRI BibRef

Zhu, L.J.[Liang-Jia], Gao, Y.[Yi], Appia, V., Yezzi, A.J., Arepalli, C., Faber, T., Stillman, A., Tannenbaum, A.,
A Complete System for Automatic Extraction of Left Ventricular Myocardium From CT Images Using Shape Segmentation and Contour Evolution,
IP(23), No. 3, March 2014, pp. 1340-1351.
IEEE DOI 1403
cardiology BibRef

Ravanelli, D., dal Piaz, E.C., Centonze, M., Casagranda, G., Marini, M., del Greco, M., Karim, R., Rhode, K., Valentini, A.,
A Novel Skeleton Based Quantification and 3-D Volumetric Visualization of Left Atrium Fibrosis Using Late Gadolinium Enhancement Magnetic Resonance Imaging,
MedImg(33), No. 2, February 2014, pp. 566-576.
IEEE DOI 1403
angiocardiography BibRef

Al-Agamy, A.O., Khalifa, A., Fahmy, A.S.,
Greedy framework for optical flow tracking of myocardium contours,
IET-IPR(8), No. 4, April 2014, pp. 207-212.
DOI Link 1407
biomedical MRI BibRef

Tobon-Gomez, C., Geers, A.J., Peters, J., Weese, J., Pinto, K., Karim, R., Ammar, M., Daoudi, A., Margeta, J., Sandoval, Z., Stender, B., Zheng, Y., Zuluaga, M.A., Betancur, J., Ayache, N., Chikh, M.A., Dillenseger, J.L., Kelm, B.M., Mahmoudi, S., Ourselin, S., Schlaefer, A., Schaeffter, T., Razavi, R., Rhode, K.S.,
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets,
MedImg(34), No. 7, July 2015, pp. 1460-1473.
IEEE DOI 1507
Benchmark testing BibRef

McLeod, K.[Kristin], Sermesant, M.[Maxime], Beerbaum, P., Pennec, X.[Xavier],
Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics,
MedImg(34), No. 7, July 2015, pp. 1562-1575.
IEEE DOI 1507
Dynamics BibRef

McLeod, K.[Kristin], Sermesant, M.[Maxime], Pennec, X.[Xavier],
Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters,
FIMH17(51-59).
Springer DOI 1706
BibRef

El-Rewaidy, H., Ibrahim, E.S., Fahmy, A.S.,
Segmentation of the right ventricle in MRI images using a dual active shape model,
IET-IPR(10), No. 10, 2016, pp. 717-723.
DOI Link 1610
biomedical MRI BibRef

Papadacci, C., Bunting, E.A., Wan, E.Y., Nauleau, P., Konofagou, E.E.,
3D Myocardial Elastography In Vivo,
MedImg(36), No. 2, February 2017, pp. 618-627.
IEEE DOI 1702
Heart BibRef

Wang, Z.Z.[Zhen Zhou],
Segmentation of the left ventricle in short-axis sequences by combining deformation flow and optical flow,
IET-IPR(11), No. 4, April 2017, pp. 237-244.
DOI Link 1704
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Yang, B.[Bo], Liu, C.[Chao], Huang, K.[Keli], Zheng, W.F.[Wen-Feng],
A triangular radial cubic spline deformation model for efficient 3D beating heart tracking,
SIViP(11), No. 7, October 2017, pp. 1329-1336.
WWW Link. 1708
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Pedrosa, J., Queirós, S., Bernard, O., Engvall, J., Edvardsen, T., Nagel, E., d'Hooge, J.,
Fast and Fully Automatic Left Ventricular Segmentation and Tracking in Echocardiography Using Shape-Based B-Spline Explicit Active Surfaces,
MedImg(36), No. 11, November 2017, pp. 2287-2296.
IEEE DOI 1711
Image segmentation, Splines (mathematics), Ultrasonic imaging, 3-D echocardiography, BibRef

Liao, F., Chen, X., Hu, X., Song, S.,
Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks,
Cyber(49), No. 2, February 2019, pp. 495-504.
IEEE DOI 1901
Image segmentation, Proposals, Neural networks, Heart, Training, Deep learning, image segmentation, medical image analysis, regression BibRef

Xiong, Z., Fedorov, V.V., Fu, X., Cheng, E., Macleod, R., Zhao, J.,
Fully Automatic Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging Using a Dual Fully Convolutional Neural Network,
MedImg(38), No. 2, February 2019, pp. 515-524.
IEEE DOI 1902
Training, Machine learning algorithms, Image segmentation, structural analysis BibRef

Duan, J., Bello, G., Schlemper, J., Bai, W., Dawes, T.J.W., Biffi, C., de Marvao, A., Doumoud, G., O'Regan, D.P., Rueckert, D.,
Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach,
MedImg(38), No. 9, September 2019, pp. 2151-2164.
IEEE DOI 1909
Image segmentation, Pipelines, Heart, Shape, Deep learning, Imaging, Deep learning, cardiac artifacts BibRef

Wang, Z.Z.[Zhen-Zhou],
Automatic and optimal segmentation of the left ventricle in cardiac magnetic resonance images independent of the training sets,
IET-IPR(13), No. 10, 22 August 2019, pp. 1725-1735.
DOI Link 1909
BibRef

Mahmoudi, R.[Ramzi], Ben Ameur, N.[Narjes], Ammari, A.[Asma], Akil, M.[Mohamed], Saouli, R.[Rachida], Hmida, B.[Badii], Bedoui, M.H.[Momahed Hedi],
Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation,
IET-IPR(14), No. 3, 28 February 2020, pp. 506-517.
DOI Link 2002
BibRef

Narciso, M.[Maria], Ferreira, A.[António], Vieira, P.[Pedro],
Semi-automatic Tool to Identify Heterogeneity Zones in LGE-CMR and Incorporate the Result into a 3D Model of the Left Ventricle,
ICIAR20(II:238-246).
Springer DOI 2007
BibRef

Hu, H.F.[Huai-Fei], Pan, N.[Ning], Liu, H.H.[Hai-Hua], Liu, L.M.[Li-Man], Yin, T.L.[Tai-Lang], Tu, Z.G.[Zhi-Gang], Frangi, A.F.[Alejandro F.],
Automatic segmentation of left and right ventricles in cardiac MRI using 3D-ASM and deep learning,
SP:IC(96), 2021, pp. 116303.
Elsevier DOI 2106
Left and right ventricle segmentation, automatic initialisation, deep learning, statistical shape models BibRef

Vesal, S.[Sulaiman], Gu, M.X.[Ming-Xuan], Kosti, R.[Ronak], Maier, A.[Andreas], Ravikumar, N.[Nishant],
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation,
MedImg(40), No. 7, July 2021, pp. 1838-1851.
IEEE DOI 2107
Image segmentation, Shape, Entropy, Magnetic resonance imaging, Minimization, Adaptation models, Training, entropy minimization BibRef

Chen, J.[Jun], Zhang, H.[Heye], Mohiaddin, R.[Raad], Wong, T.[Tom], Firmin, D.[David], Keegan, J.[Jennifer], Yang, G.[Guang],
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data,
MedImg(41), No. 2, February 2022, pp. 420-433.
IEEE DOI 2202
Semisupervised learning, Data models, Image segmentation, Predictive models, Generators, Generative adversarial networks, bidirectional adversarial inference BibRef

Zhang, W.[Wanruo], Yao, G.[Guan], Yang, B.[Bo], Zheng, W.F.[Wen-Feng], Liu, C.[Chao],
Motion Prediction of Beating Heart Using Spatio-Temporal LSTM,
SPLetters(29), 2022, pp. 787-791.
IEEE DOI 2204
Predictive models, Heart, Videos, Correlation, Surgery, Robots, Motion prediction, LSTM, beating heart, robotic surgery, spatio-temporal correlation BibRef

Meng, Q.J.[Qing-Jie], Qin, C.[Chen], Bai, W.J.[Wen-Jia], Liu, T.R.[Tian-Rui], de Marvao, A.[Antonio], O'Regan, D.P.[Declan P.], Rueckert, D.[Daniel],
MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI,
MedImg(41), No. 8, August 2022, pp. 1961-1974.
IEEE DOI 2208
Myocardium, Motion estimation, Tracking, Shape, Strain, Estimation, Multi-view, 3D motion tracking, shape regularization, cine CMR, deep neural networks BibRef

Shah, S.K.[Said Khalid],
Non-Rigid Image Registration based on Parameterized Surfaces: Application to 3D Cardiac Motion Image Analysis,
IJIG(22), No. 4, July 2022, pp. 2250028.
DOI Link 2208
BibRef

Kong, F.[Fanwei], Shadden, S.C.[Shawn C.],
Learning Whole Heart Mesh Generation From Patient Images for Computational Simulations,
MedImg(42), No. 2, February 2023, pp. 533-545.
IEEE DOI 2302
Heart, Strain, Computational modeling, Shape, Image reconstruction, Predictive models, Geometric deep learning, mesh generation, cardiac simulations BibRef

Zhang, W.J.[Wan-Jun], Ding, X.H.[Xiao-Hua], Liu, Y.[Yang], Qiao, B.J.[Bao-Jun],
Slide deep reinforcement learning networks: Application for left ventricle segmentation,
PR(141), 2023, pp. 109667.
Elsevier DOI 2306
Slide deep reinforcement learning, Pixelwise image segmentation, Left ventricle, Reinforcement learning action BibRef

Ye, M.[Meng], Yang, D.[Dong], Huang, Q.Y.[Qiao-Ying], Kanski, M.[Mikael], Axel, L.[Leon], Metaxas, D.N.[Dimitris N.],
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences,
PAMI(45), No. 8, August 2023, pp. 10409-10426.
IEEE DOI 2307
Tracking, Imaging, Myocardium, Strain, Image sequences, Estimation, Heart, Cardiac, diffeomorphic, motion tracking, unsupervised BibRef

Sakajo, T.[Takashi], Itatani, K.[Keiichi],
Topological Identification of Vortical Flow Structures in the Left Ventricle of the Heart,
SIIMS(16), No. 3, 2023, pp. 1491-1519.
DOI Link 2309
BibRef

Jabdaragh, A.S.[Aziza Saber], Firouznia, M.[Marjan], Faez, K.[Karim], Alikhani, F.[Fariba], Koupaei, J.A.[Javad Alikhani], Gunduz-Demir, C.[Cigdem],
MTFD-Net: Left atrium segmentation in CT images through fractal dimension estimation,
PRL(173), 2023, pp. 108-114.
Elsevier DOI 2310
Fractal dimension, Multi-task learning, Dense prediction networks, Computed tomography, Segmentation BibRef

Gayathri, K., Maheswari, N.U.[N. Uma], Venkatesh, R., Appathurai, A.[Ahilan],
Automatic left ventricle segmentation via edge-shape feature-based fully convolutional neural network,
IJIST(34), No. 1, 2024, pp. e22947.
DOI Link 2401
binary convolution layer, convolutional neural network, edge and shape feature-based fully convolutional neural network, LV segmentation BibRef

Qiao, M.Y.[Meng-Yun], Wang, S.[Shuo], Qiu, H.Q.[Hua-Qi], de Marvao, A.[Antonio], O'Regan, D.P.[Declan P.], Rueckert, D.[Daniel], Bai, W.J.[Wen-Jia],
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy,
MedImg(43), No. 3, March 2024, pp. 1259-1269.
IEEE DOI Code:
WWW Link. 2403
Data models, Heart, Biomedical imaging, Imaging, Decoding, Solid modeling, Training, Conditional generative model, cardiac anatomy and motion BibRef

Liu, Y.[Yanbin], Dwivedi, G.[Girish], Boussaid, F.[Farid], Bennamoun, M.[Mohammed],
3D Brain and Heart Volume Generative Models: A Survey,
Surveys(56), No. 6, January 2024, pp. xx-yy.
DOI Link 2404
Survey, 3D Models. Generative models, three-dimensional, medical images, brain and heart BibRef

Rahmati, B.[Behnam], Shirani, S.[Shahram], Keshavarz-Motamed, Z.[Zahra],
A Novel Weakly Supervised Segmentation Approach for Rapid Left Ventricle Annotation,
ICIP23(3578-3582)
IEEE DOI Code:
WWW Link. 2312
BibRef

Zhang, W.F.[Wen-Fei], Li, X.F.[Xiu-Feng], Wang, Z.Z.[Zhen-Zhou],
Segmentation of the Left Ventricle by SDD double threshold selection and CHT,
ICIP23(1215-1219)
IEEE DOI 2312
BibRef

Huang, J.Q.[Jing-Qi], Ning, Y.[Yue], Nie, D.[Dong], Guan, L.[Linan], Jia, X.P.[Xi-Ping],
Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images,
CVPR22(742-752)
IEEE DOI 2210
Measurement, Image segmentation, Computational modeling, Machine vision, Semantics, Pressing, Pattern recognition, Vision applications and systems BibRef

Boukhris, K.[Khouloud], Mahmoudi, R.[Ramzi], Ben Abdallah, A.[Asma], AbdelAli, M.[Mabrouk], Hmida, B.[Badii], Bedoui, M.H.[Mohamed Hédi],
U-Shaped Densely Connected Convolutions for Left Ventricle Segmentation from CMR Images,
CAIP21(I:145-153).
Springer DOI 2112
BibRef

Keshavarzian, M.[Maziyar], Fugate, E.[Elizabeth], Chavan, S.[Saurabh], Chu, V.[Vy], Arif, M.[Mohammed], Lindquist, D.[Diana], Sadayappan, S.[Sakthivel], Avazmohammadi, R.[Reza],
An Image Registration Framework to Estimate 3D Myocardial Strains from Cine Cardiac MRI in Mice,
FIMH21(273-284).
Springer DOI 2108
BibRef

Hasaballa, A.I.[Abdallah I.], Gamage, T.P.B.[Thiranja P. Babarenda], Wang, V.Y.[Vicky Y.], Zhao, D.[Debbie], Mauger, C.A.[Charlène A.], Gilbert, K.[Kathleen], Wang, Z.J.[Zhinuo J.], Freytag, B.[Bianca], Cao, J.J.[Jie Jane], Young, A.A.[Alistair A.], Nash, M.P.[Martyn P.],
Sensitivity of Myocardial Stiffness Estimates to Inter-observer Variability in LV Geometric Modelling,
FIMH21(287-295).
Springer DOI 2108
BibRef

di Folco, M.[Maxime], Guigui, N.[Nicolas], Clarysse, P.[Patrick], Moceri, P.[Pamela], Duchateau, N.[Nicolas],
Investigation of the Impact of Normalization on the Study of Interactions Between Myocardial Shape and Deformation,
FIMH21(223-231).
Springer DOI 2108
BibRef

Li, D.S.[David S.], Mendiola, E.A.[Emilio A.], Avazmohammadi, R.[Reza], Sachse, F.B.[Frank B.], Sacks, M.S.[Michael S.],
A High-Fidelity 3D Micromechanical Model of Ventricular Myocardium,
FIMH21(168-177).
Springer DOI 2108
BibRef

Sillett, C.[Charles], Razeghi, O.[Orod], Strocchi, M.[Marina], Roney, C.H.[Caroline H.], O'Brien, H.[Hugh], Ennis, D.B.[Daniel B.], Haberland, U.[Ulrike], Rajani, R.[Ronak], Rinaldi, C.A.[Christopher A.], Niederer, S.A.[Steven A.],
Optimisation of Left Atrial Feature Tracking Using Retrospective Gated Computed Tomography Images,
FIMH21(71-83).
Springer DOI 2108
BibRef

Liu, Z.Q.[Zhan-Qiu], Maforo, N.G.[Nyasha G.], Renella, P.[Pierangelo], Halnon, N.[Nancy], Wu, H.H.[Holden H.], Ennis, D.B.[Daniel B.],
Reproducibility of Left Ventricular CINE DENSE Strain in Pediatric Subjects with Duchenne Muscular Dystrophy,
FIMH21(232-241).
Springer DOI 2108
BibRef

Upendra, R.R.[Roshan Reddy], Wentz, B.J.[Brian Jamison], Simon, R.[Richard], Shontz, S.M.[Suzanne M.], Linte, C.A.[Cristian A.],
CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI,
FIMH21(253-263).
Springer DOI 2108
BibRef

Freytag, B.[Bianca], Wang, V.Y.[Vicky Y.], Zhao, D.[Debbie], Gilbert, K.[Kathleen], Quill, G.[Gina], Hasaballa, A.I.[Abdallah I.], Babarenda Gamage, T.P.[Thiranja P.], Doughty, R.N.[Robert N.], Legget, M.E.[Malcolm E.], Ruygrok, P.[Peter], Young, A.A.[Alistair A.], Nash, M.P.[Martyn P.],
In Vivo Pressure-Volume Loops and Chamber Stiffness Estimation Using Real-Time 3D Echocardiography and Left Ventricular Catheterization: Application to Post-heart Transplant Patients,
FIMH21(396-405).
Springer DOI 2108
BibRef

Razeghi, O.[Orod], Strocchi, M.[Marina], Corrado, C.[Cesare], Chubb, H.[Henry], Rajani, R.[Ronak], Ennis, D.B.[Daniel B.], Niederer, S.A.[Steven A.],
Impact of Image Resolution and Resampling on Motion Tracking of the Left Chambers from Cardiac Scans,
FIMH21(12-21).
Springer DOI 2108
BibRef

Bergquist, J.A.[Jake A.], Good, W.W.[Wilson W.], Zenger, B.[Brian], Tate, J.D.[Jess D.], MacLeod, R.S.[Robert S.],
GRÖMeR: A Pipeline for Geodesic Refinement of Mesh Registration,
FIMH19(37-45).
Springer DOI 1906
BibRef

Chabiniok, R.[Radomír], Bureau, G.[Gautier], Groth, A.[Alexandra], Tintera, J.[Jaroslav], Weese, J.[Jürgen], Chapelle, D.[Dominique], Moireau, P.[Philippe],
Cardiac Displacement Tracking with Data Assimilation Combining a Biomechanical Model and an Automatic Contour Detection,
FIMH19(405-414).
Springer DOI 1906
BibRef

de Craene, M.[Mathieu], Piro, P.[Paolo], Duchateau, N.[Nicolas], Allain, P.[Pascal], Saloux, E.[Eric],
Left Ventricular Shape and Motion Reconstruction Through a Healthy Model for Characterizing Remodeling After Infarction,
FIMH19(159-167).
Springer DOI 1906
BibRef

Razafindrazaka, F.H.[Faniry H.], Vellguth, K.[Katharina], Degener, F.[Franziska], Suendermann, S.[Simon], Kühne, T.[Titus],
Mesh Based Approximation of the Left Ventricle Using a Controlled Shrinkwrap Algorithm,
FIMH19(230-239).
Springer DOI 1906
BibRef

Barbarotta, L.[Luca], Bovendeerd, P.H.M.[Peter H.M.],
A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation,
FIMH21(296-304).
Springer DOI 2108
BibRef
And:
A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Geometry,
FIMH19(240-248).
Springer DOI 1906
BibRef

Rondanina, E.[Emanuele], Bovendeerd, P.[Peter],
A Simple Multi-scale Model to Evaluate Left Ventricular Growth Laws,
FIMH19(249-257).
Springer DOI 1906
BibRef

Upendra, R.R.[Roshan Reddy], Dangi, S.[Shusil], Linte, C.A.[Cristian A.],
An Adversarial Network Architecture Using 2D U-Net Models for Segmentation of Left Ventricle from Cine Cardiac MRI,
FIMH19(415-424).
Springer DOI 1906
BibRef

Ponnaluri, A.V.S.[Aditya V. S.], Verzhbinsky, I.A.[Ilya A.], Eldredge, J.D.[Jeff D.], Garfinkel, A.[Alan], Ennis, D.B.[Daniel B.], Perotti, L.E.[Luigi E.],
Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions,
FIMH19(294-303).
Springer DOI 1906
BibRef

Yuan, T., Tong, Q., Liao, X., Du, X., Zhao, J.,
Fully Automatic Segmentation of the Left Ventricle Using Multi-Scale Fusion Learning,
ICPR18(3838-3843)
IEEE DOI 1812
Image segmentation, Training, Feature extraction, Databases, Robustness, Learning systems, Measurement BibRef

Koné, I., Boulmane, L.,
Hybrid forests for left ventricle segmentation using only the first slice label,
ISCV18(1-5)
IEEE DOI 1807
biomedical MRI, brain, image segmentation, image sequences, learning (artificial intelligence), medical image processing, Training BibRef

Nasopoulou, A.[Anastasia], Nordsletten, D.A.[David A.], Niederer, S.A.[Steven A.], Lamata, P.[Pablo],
Feasibility of the Estimation of Myocardial Stiffness with Reduced 2D Deformation Data,
FIMH17(357-368).
Springer DOI 1706
BibRef

Soares, J.S.[Joao S.], Li, D.S.[David S.], Lai, E.[Eric], Gorman III, J.H.[Joseph H.], Gorman, R.C.[Robert C.], Sacks, M.S.[Michael S.],
Modeling of Myocardium Compressibility and its Impact in Computational Simulations of the Healthy and Infarcted Heart,
FIMH17(493-501).
Springer DOI 1706
BibRef

Masci, A.[Alessandro], Alessandrini, M.[Martino], Forti, D.[Davide], Menghini, F.[Filippo], Dedé, L.[Luca], Tommasi, C.[Corrado], Quarteroni, A.[Alfio], Corsi, C.[Cristiana],
A Patient-Specific Computational Fluid Dynamics Model of the Left Atrium in Atrial Fibrillation: Development and Initial Evaluation,
FIMH17(392-400).
Springer DOI 1706
BibRef

Chabiniok, R., Moireau, P., Kiesewetter, C., Hussain, T., Razavi, R.[Reza], Chapelle, D.,
Assessment of Atrioventricular Valve Regurgitation Using Biomechanical Cardiac Modeling,
FIMH17(401-411).
Springer DOI 1706
BibRef

Tibamoso, G.[Gerardo], Ratté, S.[Sylvie], Duong, L.[Luc],
Left Ventricle Wall Detection from Ultrasound Images Using Shape and Appearance Information,
ICIAR17(63-70).
Springer DOI 1706
BibRef

Doste, R.[Rubén], Soto-Iglesias, D.[David], Bernardino, G.[Gabriel], Sebastian, R.[Rafael], Giffard-Roisin, S.[Sophie], Cabrera-Lozoya, R.[Rocio], Sermesant, M.[Maxime], Berruezo, A.[Antonio], Sánchez-Quintana, D.[Damián], Camara, O.[Oscar],
A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias,
FIMH17(344-353).
Springer DOI 1706
BibRef

Cedilnik, N.[Nicolas], Duchateau, J.[Josselin], Dubois, R.[Rémi], Jaïs, P.[Pierre], Cochet, H.[Hubert], Sermesant, M.[Maxime],
VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation,
FIMH17(271-279).
Springer DOI 1706
BibRef

Marciniak, M.[Maciej], Arevalo, H.[Hermenegild], Tfelt-Hansen, J.[Jacob], Ahtarovski, K.A.[Kiril A.], Jespersen, T.[Thomas], Jabbari, R.[Reza], Glinge, C.[Charlotte], Vejlstrup, N.[Niels], Engstrom, T.[Thomas], Maleckar, M.M.[Mary M.], McLeod, K.[Kristin],
A Multiple Kernel Learning Framework to Investigate the Relationship Between Ventricular Fibrillation and First Myocardial Infarction,
FIMH17(161-171).
Springer DOI 1706
BibRef

Kurzendorfer, T., Breininger, K., Steidl, S., Brost, A., Forman, C., Maier, A.,
Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification,
ICPR18(3168-3173)
IEEE DOI 1812
Feature extraction, Myocardium, Image segmentation, Fractals, Standards, Forestry, Gadolinium BibRef

Kurzendorfer, T.[Tanja], Forman, C.[Christoph], Brost, A.[Alexander], Maier, A.[Andreas],
Random Forest Based Left Ventricle Segmentation in LGE-MRI,
FIMH17(152-160).
Springer DOI 1706
BibRef

Lieman-Sifry, J.[Jesse], Le, M.[Matthieu], Lau, F.[Felix], Sall, S.[Sean], Golden, D.[Daniel],
FastVentricle: Cardiac Segmentation with ENet,
FIMH17(127-138).
Springer DOI 1706
BibRef

Dangi, S.[Shusil], Linte, C.A.[Cristian A.],
Using Atlas Prior with Graph Cut Methods for Right Ventricle Segmentation from Cardiac MRI,
FIMH17(83-94).
Springer DOI 1706
BibRef

Ayari, R., Abdallah, A.B., Ghorbel, F., Bedoui, M.H.,
Analysis of Regional Deformation of the Heart's Left Ventricle Using Curvature Values with Hotelling T2 Metric,
CGiV16(115-118)
IEEE DOI 1608
biomechanics BibRef

Kabani, A.[Abdul_Wahab], El-Sakka, M.R.[Mahmoud R.],
Ejection Fraction Estimation Using a Wide Convolutional Neural Network,
ICIAR17(87-96).
Springer DOI 1706
BibRef
Earlier:
Estimating Ejection Fraction and Left Ventricle Volume Using Deep Convolutional Networks,
ICIAR16(678-686).
Springer DOI 1608
BibRef
And:
Object Detection and Localization Using Deep Convolutional Networks with Softmax Activation and Multi-class Log Loss,
ICIAR16(358-366).
Springer DOI 1608
BibRef

Khwaounjoo, P.[Prashanna], LeGrice, I.J.[Ian J.], Trew, M.L.[Mark L.], Smaill, B.H.[Bruce H.],
Quantifying Structural and Functional Differences Between Normal and Fibrotic Ventricles,
FIMH15(48-56).
Springer DOI 1507
BibRef

Cygan, S.[Szymon], Zmigrodzki, J.[Jakub], Lesniak-Plewinska, B.[Beata], Karny, M.[Maciej], Pakiela, Z.[Zbigniew], Kaluzynski, K.[Krzysztof],
Influence of Polivinylalcohol Cryogel Material Model in FEM Simulations on Deformation of LV Phantom,
FIMH15(313-320).
Springer DOI 1507
BibRef

Zacur, E.[Ernesto], Wong, J.[James], Razavi, R.[Reza], Geva, T.[Tal], Greil, G.[Gerald], Lamata, P.[Pablo],
Revealing Differences in Anatomical Remodelling of the Systemic Right Ventricle,
FIMH15(99-107).
Springer DOI 1507
BibRef

Oktay, O.[Ozan], Gomez, A.[Alberto], Keraudren, K.[Kevin], Schuh, A.[Andreas], Bai, W.J.[Wen-Jia], Shi, W.Z.[Wen-Zhe], Penney, G.[Graeme], Rueckert, D.[Daniel],
Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation,
FIMH15(223-230).
Springer DOI 1507
BibRef

Paun, B.[Bruno], Bijnens, B.[Bart], Butakoff, C.[Constantine],
Subject Independent Reference Frame for the Left Ventricular Detailed Cardiac Anatomy,
FIMH15(240-247).
Springer DOI 1507
BibRef

Gao, H.[Hao], Qi, N.[Nan], Ma, X.S.[Xing-Shuang], Griffith, B.E.[Boyce E.], Berry, C.[Colin], Luo, X.Y.[Xiao-Yu],
Fluid-Structure Interaction Model of Human Mitral Valve within Left Ventricle,
FIMH15(330-337).
Springer DOI 1507
BibRef

Gao, H.[Hao], Berry, C.[Colin], Luo, X.Y.[Xiao-Yu],
Image-Derived Human Left Ventricular Modelling with Fluid-Structure Interaction,
FIMH15(321-329).
Springer DOI 1507
BibRef

Bai, W.J.[Wen-Jia], Peressutti, D.[Devis], Oktay, O.[Ozan], Shi, W.Z.[Wen-Zhe], O'Regan, D.P.[Declan P.], King, A.P.[Andrew P.], Rueckert, D.[Daniel],
Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects,
FIMH15(3-11).
Springer DOI 1507
BibRef

Huntjens, P.R.[Peter R.], Walmsley, J.[John], Wu, V.[Vincent], Delhaas, T.[Tammo], Axel, L.[Leon], Lumens, J.[Joost],
Assessment of Septal Motion Abnormalities in Left Bundle Branch Block Patients Using Computer Simulations,
FIMH15(40-47).
Springer DOI 1507
BibRef

Tabassian, M.[Mahdi], Alessandrini, M.[Martino], de Marchi, L.[Luca], Masetti, G.[Guido], Cauwenberghs, N.[Nicholas], Kouznetsova, T.[Tatiana], d'Hooge, J.[Jan],
Principal Component Analysis for the Classification of Cardiac Motion Abnormalities Based on Echocardiographic Strain and Strain Rate Imaging,
FIMH15(83-90).
Springer DOI 1507
BibRef

Nillesen, M.M.[Maartje M.], Saris, A.E.C.M.[Anne E. C. M.], Hansen, H.H.G.[Hendrik H. G.], Fekkes, S.[Stein], van Slochteren, F.J.[Frebus J.], Bovendeerd, P.H.M.[Peter H. M.], de Korte, C.L.[Chris L.],
Cardiac Motion Estimation Using Ultrafast Ultrasound Imaging Tested in a Finite Element Model of Cardiac Mechanics,
FIMH15(207-214).
Springer DOI 1507
BibRef

Xu, J.[Jing], Wu, J.[Jia], Notghi, B.[Bahram], Simon, M.[Marc], Brigham, J.C.[John C.],
A Feasibility Study on Kinematic Feature Extraction from the Human Interventricular Septum toward Hypertension Classification,
CompIMAGE14(36-47).
Springer DOI 1407
BibRef

Santiago, C.[Carlos], Nascimento, J.C.[Jacinto C.], Marques, J.S.[Jorge S.],
Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming,
ICIP17(1747-1751)
IEEE DOI 1803
BibRef
Earlier:
3D left ventricular segmentation in echocardiography using a probabilistic data association deformable model,
ICIP13(606-610)
IEEE DOI 1402
Deformable models, Dynamic programming, Estimation, IP networks, Image edge detection, Image segmentation, Switches, Segmentation, dynamic programming. BibRef

Ngo, T.A.[Tuan Anh], Carneiro, G.[Gustavo],
Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks,
ICIP13(695-699)
IEEE DOI 1402
Active contours BibRef

Labrador, A.M.A.[Angélica Maria Atehortúa], Martínez, F.[Fabio], Castro, E.R.[Eduardo Romero],
A Novel Right Ventricle Segmentation Approach from Local Spatio-temporal MRI Information,
CIARP13(II:206-213).
Springer DOI 1311
BibRef

Le Folgoc, L.[Loïc], Delingette, H.[Hervé], Criminisi, A.[Antonio], Ayache, N.[Nicholas],
Current-Based 4D Shape Analysis for the Mechanical Personalization of Heart Models,
MCVM12(283-292).
Springer DOI 1305
BibRef

Mahapatra, D.[Dwarikanath], Buhmann, J.M.[Joachim M.],
Cardiac LV and RV Segmentation Using Mutual Context Information,
MLMI12(201-209).
Springer DOI 1211
BibRef

Shi, J.[Jie], Thompson, P.M.[Paul M.], Wang, Y.L.[Ya-Lin],
Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry,
MBIA12(61-76).
Springer DOI 1210
BibRef

Lee, K.Z.[Kual-Zheng], Hung, P.C.[Pang-Chan], Tsai, L.W.[Luo-Wei],
Contact-Free Heart Rate Measurement Using a Camera,
CRV12(147-152).
IEEE DOI 1207
BibRef

Harhad, A.[Abdelkrim], Souag, N.[Nadia],
Cardiac motion analysis using factorization method,
EUVIP11(134-137).
IEEE DOI 1110
BibRef

Yuen, S.G., Kettler, D.T., Howe, R.D.,
Robotic motion compensation for beating intracardiac surgery,
ICARCV08(617-622).
IEEE DOI 1109
BibRef

Burlina, P.[Philippe], Mukherjee, R.[Ryan], Juang, R.[Radford], Sprouse, C.[Chad],
Recovering Endocardial Walls from 3D TEE,
FIMH11(284-293).
Springer DOI 1105
BibRef

Hanna, R.[Raghed], Barschdorf, H.[Hans], Klinder, T.[Tobias], Weber, F.M.[Frank M.], Krueger, M.W.[Martin W.], Dössel, O.[Olaf], Lorenz, C.[Cristian],
A Hybrid Method for Automatic Anatomical Variant Detection and Segmentation,
FIMH11(333-340).
Springer DOI 1105
BibRef

Choi, H.F.[Hon Fai], Rademakers, F.E.[Frank E.], Claus, P.[Piet],
Left-Ventricular Shape Determines Intramyocardial Stroke Work Distribution,
FIMH11(401-408).
Springer DOI 1105
BibRef

Voigt, I.[Ingmar], Mansi, T.[Tommaso], Mihalef, V.[Viorel], Ionasec, R.I.[Razvan Ioan], Calleja, A.[Anna], Mengue, E.A.[Etienne Assoumou], Sharma, P.[Puneet], Houle, H.[Helene], Georgescu, B.[Bogdan], Hornegger, J.[Joachim], Comaniciu, D.[Dorin],
Patient-Specific Model of Left Heart Anatomy, Dynamics and Hemodynamics from 4D TEE: A First Validation Study,
FIMH11(341-349).
Springer DOI 1105
BibRef

Mukhopadhyay, A.[Anirban], Bhandarkar, S.M.[Suchendra M.],
Biharmonic density estimate: A scale space signature for deformable surfaces,
ICIP14(4737-4741)
IEEE DOI 1502
Eigenvalues and eigenfunctions BibRef

Mukhopadhyay, A.[Anirban], Qian, Z.[Zhen], Bhandarkar, S.M.[Suchendra M.], Liu, T.M.[Tian-Ming], Voros, S.[Szilard],
Shape Analysis of the Left Ventricular Endocardial Surface and Its Application in Detecting Coronary Artery Disease,
FIMH11(275-283).
Springer DOI 1105
BibRef

Lu, X.G.[Xiao-Guang], Wang, Y.[Yang], Georgescu, B.[Bogdan], Littman, A.[Arne], Comaniciu, D.[Dorin],
Automatic Delineation of Left and Right Ventricles in Cardiac MRI Sequences Using a Joint Ventricular Model,
FIMH11(250-258).
Springer DOI 1105
BibRef

Wesarg, S.[Stefan],
Monitoring Treatment Outcome: A Visualization Prototype for Left Ventricular Transformation,
FIMH11(121-128).
Springer DOI 1105
BibRef

Porras, A.R., Piella, G., Cámara, O.[Oscar], Silva, E., Andreu, D., Berruezo, A., Frangi, A.F.,
Cardiac Deformation from Electro-Anatomical Mapping Data: Application to Scar Characterization,
FIMH11(47-54).
Springer DOI 1105
BibRef

Li, B.[Bo], Cowan, B.R.[Brett R.], Young, A.A.[Alistair A.],
Real Time Myocardial Strain Analysis of Tagged MR Cines Using Element Space Non-rigid Registration,
ACCV10(IV: 385-396).
Springer DOI 1011
BibRef

Gutierrez, M.[Marco], Rebelo, M.[Marina], Meyering, W.[Wietske], Feijóo, R.[Raúl],
A Spatial-Temporal Frequency Approach to Estimate Cardiac Motion,
ISVC10(I: 529-538).
Springer DOI 1011
BibRef

King, A.P., Buerger, C., Schaeffter, T.,
Cardiac Respiratory Motion Modelling by Simultaneous Registration and Modelling from Dynamic MRI Images,
WBIR10(222-233).
Springer DOI 1007
BibRef

Tan, W.H.[Wooi-Haw], Besar, R.[Rosli],
Segmentation of the Left Ventricle in Myocardial Perfusion SPECT Using Active Shape Model,
IVIC09(38-49).
Springer DOI 0911
BibRef

Wong, K.C.L.[Ken C. L.], Wang, L.W.[Lin-Wei], Zhang, H.[Heye], Shi, P.C.[Peng-Cheng],
Computational complexity reduction via mode superposition: Application to biomechanics-based nonlinear cardiac deformation recovery,
ICIP10(4417-4420).
IEEE DOI 1009
BibRef
Earlier:
Nonlinear cardiac deformation recovery from medical images,
ICIP09(2513-2516).
IEEE DOI 0911
BibRef

Tavard, F., Simon, A., Leclercq, C., Pavin, D., Hernandez, A., Garreau, M.,
Data fusion of Left Ventricle Electro-Anatomical Mapping and Multislice Computerized Tomography,
ICIP09(1745-1748).
IEEE DOI 0911
BibRef

Chen, F.[Feng], Yang, X.[Xubo], Longhi, B., Gu, L.[Lixu], Xu, J.R.[Jian-Rong],
Whole Heart Region Segmentation from CT and MRI Images Using a Hybrid Model,
CISP09(1-5).
IEEE DOI 0910
BibRef

Wang, G.[Gang], Guo, Y.[Yubei], Zhang, S.[Shi], Ma, Y.[Yue],
A Novel Segmentation Method for Left Ventricular from Cardiac MR Images Based on Improved Markov Random Field Model,
CISP09(1-5).
IEEE DOI 0910
BibRef

Beymer, D.[David], Syeda-Mahmood, T.[Tanveer], Amir, A.[Arnon], Wang, F.[Fei], Adelman, S.[Scott],
Automatic estimation of left ventricular dysfunction from echocardiogram videos,
MMBIA09(164-171).
IEEE DOI 0906
BibRef

Kumar, R.[Ritwik], Wang, F.[Fei], Beymer, D.[David], Syeda-Mahmood, T.[Tanveer],
Cardiac disease detection from echocardiogram using edge filtered scale-invariant motion features,
MMBIA10(162-169).
IEEE DOI 1006
BibRef
Earlier:
Echocardiogram view classification using edge filtered scale-invariant motion features,
CVPR09(723-730).
IEEE DOI 0906
BibRef

Silva, S.[Samuel], Santos, B.S.[Beatriz Sousa], Madeira, J.[Joaquim], Silva, A.[Augusto],
A 3D Tool for Left Ventricle Segmentation Editing,
ICIAR10(II: 79-88).
Springer DOI 1006
BibRef
Earlier:
Left Ventricle Segmentation from Heart MDCT,
IbPRIA09(306-313).
Springer DOI 0906
BibRef

Garcia-Barnes, J., Gil, D., Carreras, F., Pujadas, S.,
Regional motion patterns for the Left Ventricle function assessment,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Nascimento, J.C.[Jacinto C.], Sanches, J.M.[Joao M.],
Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation,
ICIP08(553-556).
IEEE DOI 0810
BibRef

Niu, X.F.[Xiao-Feng], Yang, Y.Y.[Yong-Yi], Wernick, M.N.[Miles N.],
4D reconstruction of cardiac images using temporal fourier basis functions,
ICIP08(2944-2947).
IEEE DOI 0810
BibRef

Mantilla, J., Bravo, A., Medina, R.,
A 3-D Multi-modality Image Framework for Left Ventricle Motion Analysis,
IMVIP08(130-135).
IEEE DOI 0809
BibRef

Schmidt, M.[Mark], Murphy, K.[Kevin], Fung, G.[Glenn], Rosales, R.[Romer],
Structure learning in random fields for heart motion abnormality detection,
CVPR08(1-8).
IEEE DOI 0806
BibRef

da Silva Oliveira, W.[Wendeson], Dias, A.V.[Angela Vilhena],
Interactive Left Ventricular Segmentation in Cardiac Images,
ICV07(1-6).
IEEE DOI 0710
BibRef

Glocker, B., Komodakis, N., Paragios, N., Tziritas, G., Navab, N.,
Inter- and Intra-Modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming,
IPMI07(408-420).
PDF File. BibRef 0700

Besbes, A.[Ahmed], Komodakis, N.[Nikos], Glocker, B.[Ben], Tziritas, G.[Georgios], Paragios, N.[Nikos],
4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization,
ISVC07(I: 189-198).
Springer DOI 0711
BibRef

Liang, J.[Jia], Wang, Y.Q.[Yuan-Quan], Jia, Y.D.[Yun-De],
Cardiac Motion Estimation from Tagged MRI Using 3D-HARP and NURBS Volumetric Model,
ACCV07(I: 512-521).
Springer DOI 0711
BibRef

Bravo, A.[Antonio], Vera, M.[Miguel], Medina, R.[Rubén],
Edge Detection in Ventriculograms Using Support Vector Machine Classifiers and Deformable Models,
CIARP07(793-802).
Springer DOI 0711
BibRef

Kharche, S.[Sanjay], Seemann, G.[Gunnar], Leng, J.[Joanna], Holden, A.V.[Arun V.], Garratt, C.J.[Clifford J.], Zhang, H.[Henggui],
Scroll Waves in 3D Virtual Human Atria: A Computational Study,
FIMH07(129-138).
Springer DOI 0706
BibRef

Sutherland, D.R.[David R.], Liang, Q.S.[Qian-Sheng], Sohn, K.H.[Kwang-Hyun], Taccardi, B.[Bruno], Punske, B.B.[Bonnie B.],
Experimental Epicardial Potential Mapping in Mouse Ventricles: Effects of Fiber Architecture,
FIMH07(260-268).
Springer DOI 0706
BibRef

Wang, L.W.[Lin-Wei], Zhang, H.[Heye], Shi, P.C.[Peng-Cheng],
Towards Noninvasive 3D Imaging of Cardiac Arrhythmias,
FIMH07(280-289).
Springer DOI 0706
BibRef

Väisänen, J.H.[Ju-Ho], Requena-Carrión, J.[Jesús], Alonso-Atienza, F.[Felipe], Hyttinen, J.[Jari], Rojo-Álvarez, J.L.[José Luis], Malmivuo, J.[Jaakko],
Contributions of the 12 Segments of Left Ventricular Myocardium to the Body Surface Potentials,
FIMH07(300-309).
Springer DOI 0706
BibRef

Moireau, P.[Philippe], Chapelle, D.[Dominique],
Effective Estimation in Cardiac Modelling,
FIMH07(361-372).
Springer DOI 0706
BibRef

Delhay, B.[Bertrand], Clarysse, P.[Patrick], Magnin, I.E.[Isabelle E.],
Locally Adapted Spatio-temporal Deformation Model for Dense Motion Estimation in Periodic Cardiac Image Sequences,
FIMH07(393-402).
Springer DOI 0706
BibRef

Benson, A.P.[Alan P.], Ries, M.E.[Michael E.], Holden, A.V.[Arun V.],
Effects of Geometry and Architecture on Re-entrant Scroll Wave Dynamics in Human Virtual Ventricular Tissues,
FIMH07(200-209).
Springer DOI 0706
BibRef

Li, P.[Pan], Lancaster, M.[Matthew], Holden, A.V.[Arun V.],
A Three Dimensional Ventricular E-Cell (3Dv E-Cell) with Stochastic Intracellular Ca 2+ Handling,
FIMH07(180-189).
Springer DOI 0706
BibRef

Lei, Z.[Zhu], Xin, Y.[Yang], Liping, Y.[Yao], Kun, S.[Sun],
Computer Aided Reconstruction and Motion Analysis of 3D Mitral Annulus,
FIMH07(70-80).
Springer DOI 0706
BibRef

Santiago, C.[Carlos], Nascimento, J.C.[Jacinto C.], Marques, J.S.[Jorge S.],
Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI,
IbPRIA15(283-290).
Springer DOI 1506
BibRef

Nascimento, J.C.[Jacinto C.], Sanches, J.M.[João M.], Marques, J.S.[Jorge S.],
Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising,
IbPRIA07(II: 628-636).
Springer DOI 0706
BibRef

Chlebiej, M.[Michal], Nowinski, K.[Krzysztof], Sciso, P.[Piotr], Bala, P.[Piotr],
Reconstruction of Heart Motion from 4D Echocardiographic Images,
CAIP07(245-252).
Springer DOI 0708
BibRef

Dewan, M.[Maneesh], Lorenz, C.H.[Christine H.], Hager, G.D.[Gregory D.],
Deformable Motion Tracking of Cardiac Structures (DEMOTRACS) for Improved MR Imaging,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Chang, H.H.[Hsun-Hsien],
Variational Approach to Cardiac Motion Estimation for Small Animals in Tagged Magnetic Resonance Imaging,
PSIVT06(363-372).
Springer DOI 0612
BibRef

Bharali, U., Ghosh, D.,
Cardiac Motion Estimation from Echocardiographic Image Sequence using Unsupervised Active Contour Tracker,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Wong, A.L.N., Liu, H., Shi, P.,
Segmentation of myocardium using velocity field constrained front propagation,
WACV02(84-89).
IEEE DOI 0303
BibRef

Ohyama, W., Wakabayashi, T., Sekioka, K., Kimura, F., Tsuruoka, S.,
Automatic tracking of local myocardial motion by correlation weighted velocity method,
ICPR02(I: 711-714).
IEEE DOI 0211
BibRef

Moreau, V.[Valerie], Cohen, L.D.[Laurent D.], and Pellerin, D.[Denis],
Estimation and analysis of the deformation of the cardiac wall using doppler tissue imaging,
ICPR02(I: 784-787).
IEEE DOI
PDF File. 0211
BibRef

Desserée, D., Legrand, L., Walker, P., Lalande, A., Brunotte, F.,
Cardiac Motion Tracking Using a Deformable 2d-mesh Modeling,
ICIP01(II: 869-872).
IEEE DOI 0108
BibRef

Susín, A., Navazo, I., Vinacua, A., Brunet, P.,
Dynamic Recognition and Reconstruction of the Human Heart,
ICPR00(Vol IV: 88-93).
IEEE DOI 0009
Deformable models. BibRef

Fan, L.[Li], Chen, C.W.[Chang Wen],
An improved approach for cardiac dynamics analysis based on constrained local force model,
ICIP98(I: 717-721).
IEEE DOI 9810
CT volumetric images BibRef

O'Donnell, T.[Thomas], Boult, T.E.[Terrance E.], Gupta, A.[Alok],
Global models with parametric offsets for object recovery,
US_Patent6,088,472, Jul 11, 2000
WWW Link. BibRef 0007
And:
Global Models with Parametric Offsets as Applied to Cardiac Motion Recovery,
CVPR96(293-299).
IEEE DOI BibRef

Cohen, L.D.[Laurent D.], Pajany, F.[Floris], Pellerin, D.[Denis], Veyrat, C.[Colette],
Cardiac Wall Tracking Using Doppler Tissue Imaging (DTI),
ICIP96(III: 295-298).
IEEE DOI
PS File. BibRef 9600

Amini, A.A., Curwen, R.W., Gore, J.C.,
Snakes and Splines for Tracking Non-Rigid Heart Motion,
ECCV96(II:249-261).
Springer DOI BibRef 9600

Wilson, D., Geiser, E., Conetta, D., Murphy, J., Wang, D.,
An Automated Algorithm for Analysis of 2D Echocardiographic Short-Axis Images,
MMBIA96(DEFORMABLE MODELS I) BibRef 9600

Strauss, E.[Edilberto], Burger, P.[Peter],
4 Dimensional modelling of the human heart,
CAIP95(376-383).
Springer DOI 9509
BibRef

Chen, T.[Ting], Lin, W.C.[Wei-Chung], Chen, C.T.[Chin-Tu],
Fuzzy neural networks for 3-D heart motion understanding,
ICPR94(B:510-512).
IEEE DOI 9410
BibRef

Mishra, S.K., Goldgof, D.B., and Huang, T.S.,
Motion Analysis and Epicardial Deformation Estimation from Angiography Data,
CVPR91(331-336).
IEEE DOI BibRef 9100

Chen, C.W., Huang, T.S.,
Analysis of left ventricle global deformation based on dynamic CT data,
ICPR92(III:443-446).
IEEE DOI 9208
BibRef
Earlier:
Epicardial motion and deformation estimation from coronary artery bifurcation points,
ICCV90(456-459).
IEEE DOI 0403
BibRef

Goldgof, D.B., Lee, H., and Huang, T.S.,
Motion Analysis of Nonridgid Surfaces,
CVPR88(375-380).
IEEE DOI BibRef 8800

Herlin, I.L., Nguyen, C., and Graffigne, C.,
A Deformable Region Model Using Stochastic Processes Applied to Echocardiographic Images,
CVPR92(534-539).
IEEE DOI BibRef 9200

Mishra, S.K., and Goldgof, D.B.,
Motion Analysis and Modeling of Epicardial Surfaces from Point and Line Correspondences,
Motion91(300-305). Assume correspondence. BibRef 9100

Sychra, J.J., Pavel, D.G., Olea, E.,
Classification images of cardiac wall motion abnormalities,
ICPR88(II: 1004-1008).
IEEE DOI 8811
BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Oct-Trees (or Octrees) and Voxels for Three-Dimensional Descriptions .