Tsuji, S.[Saburo],
Osada, M., and
Yachida, M.[Masahiko],
Tracking and Segmentation of Moving Objects in Dynamic Line Images,
PAMI(2), No. 6, November 1980, pp. 516-522.
BibRef
8011
Earlier:
Three Dimensional Movement Analysis of Dynamic Line Images,
IJCAI79(896-901).
Matching, Contours.
Snakes. Flexible template match with corresponding segments, group by
similarity of motion of the segments.
BibRef
Yachida, M.[Masahiko],
Ikeda, M.[Motozo], and
Tsuji, S.[Saburo],
A Plan-Guided Analysis of Cineangiograms for Measurement of
Dynamic Behavior of Heart Wall,
PAMI(2), No. 6, November 1980, pp. 537-543.
BibRef
8011
Earlier:
Plan Guided Analysis of Noisy Dynamic Images,
IJCAI79(978-983).
BibRef
Bunke, H.,
Sagerer, G.,
Niemann, H.,
Model Based Analysis of Scintigraphic Image Sequences of the
Human Heart,
ISPDSA83(725-740).
BibRef
8300
Gerbrands, J.J.,
Slump, C.H.,
3-D Reconstruction of Homogeneous Objects from two
Poisson-Distributed Projections,
PRL(3), 1985, pp. 137-145.
BibRef
8500
Slump, C.H.[Cornelis H.],
Gerbrands, J.J.[Jan J.],
A Network Flow Approach to Reconstruction of the
Left Ventricle from Two Projections,
CGIP(18), No. 1, January 1982, pp. 18-36.
Elsevier DOI
BibRef
8201
Ritchings, R.T.,
Colchester, A.C.F.,
Wang, H.Q.,
Knowledge-Based Analysis of Carotid Angiograms,
IVC(3), No. 4, November 1985, pp. 217-222.
Elsevier DOI
BibRef
8511
Acharya, R.S.,
Heffernan, P.,
Robb, R.A.,
High-Speed 3D Imaging of the Beating Heart Using Temporal Estimation,
CVGIP(39), No. 3, September 1987, pp. 279-290.
Elsevier DOI
BibRef
8709
Chou, W.S.[Wen-Shou],
Wu, C.M.[Chung-Ming],
Chen, Y.C.[Yung-Chang],
Hsieh, K.S.[Kai-Sheng],
Detecting myocardial boundaries of left ventricle from a single frame
2DE image,
PR(23), No. 7, 1990, pp. 799-806.
Elsevier DOI
0401
BibRef
Tsai, C.T.[Ching-Tsorng],
Sun, Y.N.[Yung-Nien],
Chung, P.C.[Pau-Choo],
Lee, J.S.[Jiann-Shu],
Endocardial boundary detection using a neural network,
PR(26), No. 7, July 1993, pp. 1057-1068.
Elsevier DOI
0401
BibRef
Baroni, M.[Maurizio],
Barletta, G.[Giuseppe],
Digital curvature estimation for left ventricular shape analysis,
IVC(10), No. 7, September 1992, pp. 485-494.
Elsevier DOI
0401
BibRef
Solaiyappan, M.,
Poston, T.,
Heng, P.A.,
McVeigh, E.R.,
Guttman, M.A.,
Zerhouni, E.A.,
Interactive Visualization for Rapid Noninvasive Cardiac Assessment,
Computer(29), No. 1, January 1996, pp. 55-62.
BibRef
9601
Prause, G.P.M.,
Onnasch, D.G.W.,
Binary reconstruction of the heart chambers from biplane angiographic
image sequences,
MedImg(15), No. 4, August 1996, pp. 532-546.
IEEE Top Reference.
0203
BibRef
Wang, H.Q.,
Ritchings, R.T.,
Image Understanding System for Carotid Angiograms,
IVC(5), No. 2, May 1987, pp. 79-83.
Elsevier DOI
BibRef
8705
Ritchings, R.T.,
Colchester, A.C.F.,
Detection of Abnormalities on Carotid Angiograms
Using Syntactic Techniques,
PRL(4), 1986, pp. 367-374.
BibRef
8600
Higgins, W.E.,
Spyra, W.J.T.,
Karwoski, R.A.,
Ritman, E.L.[Erik L.],
System for analyzing high-resolution three-dimensional coronary
angiograms,
MedImg(15), No. 3, June 1996, pp. 377-385.
IEEE Top Reference.
0203
BibRef
Ho, B.K.T.,
Tsai, M.J.[Min-Jen],
Wei, J.[Jun],
Ma, M.,
Saipetch, P.,
Video compression of coronary angiograms based on discrete wavelet
transform with block classification,
MedImg(15), No. 6, December 1996, pp. 814-823.
IEEE Top Reference.
0203
BibRef
Ezquerra, N.,
Capell, S.,
Klein, L.,
Duijves, P.,
Model-Guided Labeling of Coronary Structure,
MedImg(17), No. 3, June 1998, pp. 429-441.
IEEE Top Reference.
9809
BibRef
Nalcioglu, O.,
Roeck, W.W.,
Reese, T.,
Qu, L.Z.,
Tobis, J.M.,
Henry, W.L.,
Background subtraction algorithms for videodensitometric quantification
of coronary stenosis,
MVA(1), No. 3, 1988, pp. 155-162.
BibRef
8800
Suri, J.S.[Jasjit S.],
Computer Vision, Pattern Recognition and Image Processing in Left
Ventricle Segmentation: The Last 50 Years,
PAA(3), No. 3 2000, pp. 209-242.
0010
Survey, Segmentation.
BibRef
Setarehdan, S.K., and
Soraghan, J.J.,
Automatic cardiac LV boundary detection and tracking using
hybrid fuzzy temporal and fuzzy multiscale edge detection,
BiomedEng(46), No. 11, November 1999, pp. 1364-1378.
BibRef
9911
Sheikh Akbari, A.,
Soraghan, J.J.,
Fuzzy-Based Multiscale Edge Detection,
IEE-P(Electronics Letters 39), No. 1, 2003, pp. 30-32.
BibRef
0300
Sheikh Akbari, A.,
Soraghan, J.J.,
Multiscale fuzzy reasoning (MFR) for automatic object extraction,
PRL(26), No. 1, 1 January 2005, pp. 77-81.
Elsevier DOI
0501
BibRef
Frangi, A.F.,
Niessen, W.J.,
Viergever, M.A.,
Three-dimensional modeling for functional analysis of cardiac images:
A Review,
MedImg(20), No. 1, January 2001, pp. 2-5.
IEEE Top Reference.
0110
BibRef
Frangi, A.F.,
Rueckert, D.,
Schnabel, J.A.,
Niessen, W.J.,
Automatic construction of multiple-object three-dimensional statistical
shape models: application to cardiac modeling,
MedImg(21), No. 9, September 2002, pp. 1151-1166.
IEEE Top Reference.
0301
See also Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration.
BibRef
Sui, L.[Lei],
Haralick, R.M.[Robert M.],
Sheehan, F.H.[Florence H.],
A Knowledge-Based Boundary Delineation System for
Contrast Ventriculograms,
ITBio(5), No. 2, June 2001, pp. 116-132.
BibRef
0106
Suri, J.S.[Jasjit S.],
Haralick, R.M.[Robert M.],
Sheehan, F.H.[Florence H.],
Automatic Quadratic Calibration for Correction of
Pixel Classifier Boundaries to an Accuracy of 2.5mm:
An Application in X-ray Heart Imaging,
ICPR98(Vol I: 30-33).
IEEE DOI
9808
BibRef
Earlier:
Left Ventricle Longitudinal Axis Fitting and its Apex Estimation Using A
Robust Algorithm and its Performance: A Parametric Apex Model,
ICIP97(III: 118-121).
IEEE DOI
BibRef
Debreuve, É.[Éric],
Barlaud, M.[Michel],
Aubert, G.[Gilles],
Laurette, I.,
Darcourt, J.,
Space-time segmentation using level set active contours applied to
myocardial gated SPECT,
MedImg(20), No. 7, July 2001, pp. 643-659.
IEEE Top Reference.
0110
BibRef
Amadieu, O.[Olivier],
Debreuve, E.[Eric],
Barlaud, M.[Michel],
Aubert, G.[Gilles],
Inward and Outward Curve Evolution Using Level Set Method,
ICIP99(III:188-192).
IEEE DOI
BibRef
9900
Talukdar, A.S.,
Wilson, D.L.,
Modeling and optimization of rotational C-arm stereoscopic X-ray
angiography,
MedImg(18), No. 7, July 1999, pp. 604-616.
IEEE Top Reference.
0110
BibRef
Kump, K.S.,
Saidel, G.M.,
Wilson, D.L.,
Comparison of algorithms for combining X-ray angiography images,
MedImg(20), No. 8, August 2001, pp. 742-750.
IEEE Top Reference.
0110
BibRef
Close, R.A.,
Abbey, C.K.,
Morioka, C.A.,
Whiting, J.S.,
Accuracy assessment of layer decomposition using simulated angiographic
image sequences,
MedImg(20), No. 10, October 2001, pp. 990-998.
IEEE Top Reference.
0111
BibRef
Behloul, F.,
Lelieveldt, B.P.F.,
Boudraa, A.,
Janier, M.F.,
Revel, D.,
Reiber, J.H.C.,
Neuro-fuzzy systems for computer-aided myocardial viability assessment,
MedImg(20), No. 12, December 2001, pp. 1302-1313.
IEEE Top Reference.
0201
BibRef
Oost, E.,
Koning, G.,
Sonka, M.,
Oemrawsingh, P.V.,
Reiber, J.H.C.,
Lelieveldt, B.P.F.,
Automated contour detection in X-ray left ventricular angiograms using
multiview active appearance models and dynamic programming,
MedImg(25), No. 9, September 2006, pp. 1158-1171.
IEEE DOI
0609
BibRef
Suinesiaputra, A.,
Frangi, A.F.,
Kaandorp, T.A.M.,
Lamb, H.J.,
Bax, J.J.,
Reiber, J.H.C.,
Lelieveldt, B.P.F.,
Automated Detection of Regional Wall Motion Abnormalities Based on a
Statistical Model Applied to Multislice Short-Axis Cardiac MR Images,
MedImg(28), No. 4, April 2009, pp. 595-607.
IEEE DOI
0904
BibRef
Hoetink, A.E.,
Faes, T.J.C.,
Marcus, J.T.,
Kerkkamp, H.J.J.,
Heethaar, R.M.,
Imaging of thoracic blood volume changes during the heart cycle with
electrical impedance using a linear spot-electrode array,
MedImg(21), No. 6, June 2002, pp. 653-661.
IEEE Top Reference.
0208
BibRef
Semenov, S.Y.,
Svenson, R.H.,
Posukh, V.G.,
Nazarov, A.G.,
Sizov, Y.E.,
Bulyshev, A.E.,
Souvorov, A.E.,
Chen, W.,
Kasell, J.,
Tatsis, G.P.,
Dielectrical spectroscopy of canine myocardium during acute ischemia
and hypoxia at frequency spectrum from 100 khz to 6 ghz,
MedImg(21), No. 6, June 2002, pp. 703-707.
IEEE Top Reference.
0208
BibRef
Moriyama, M.,
Sato, Y.,
Naito, H.,
Hanayama, M.,
Ueguchi, T.,
Harada, T.,
Yoshimoto, F.,
Tamura, S.,
Reconstruction of time-varying 3-d left-ventricular shape from
multiview x-ray cineangiocardiograms,
MedImg(21), No. 7, July 2002, pp. 773-785.
IEEE Top Reference.
0210
BibRef
Canero, C.,
Vilarino, F.,
Mauri, J.,
Radeva, P.I.[Petia I.],
Predictive (un)distortion model and 3-D reconstruction by biplane
snakes,
MedImg(21), No. 9, September 2002, pp. 1188-1201.
IEEE Top Reference.
0301
BibRef
Gil, D.,
Hernandez, A.,
Rodriguez, O.,
Mauri, J.,
Radeva, P.I.[Petia I.],
Statistical Strategy for Anisotropic Adventitia Modelling in IVUS,
MedImg(25), No. 6, June 2006, pp. 768-778.
IEEE DOI
0606
BibRef
Gil, D.,
Rodriguez-Leor, O.,
Radeva, P.I.,
Mauri, J.,
Myocardial Perfusion Characterization From Contrast Angiography
Spectral Distribution,
MedImg(27), No. 5, May 2008, pp. 641-649.
IEEE DOI
0711
BibRef
Ciompi, F.[Francesco],
Pujol, O.[Oriol],
Rodriguez Leor, O.[Oriol],
Gatta, C.[Carlo],
Serrano Vida, A.[Angel],
Radeva, P.I.[Petia I.],
Enhancing In-Vitro IVUS Data for Tissue Characterization,
IbPRIA09(241-248).
Springer DOI
0906
BibRef
Gatta, C.[Carlo],
Ciompi, F.[Francesco],
Stacked Sequential Scale-Space Taylor Context,
PAMI(36), No. 8, August 2014, pp. 1694-1700.
IEEE DOI
1407
Context
BibRef
Caballero, K.L.[Karla L.],
Barajas, J.[Joel],
Pujol, O.[Oriol],
Salvatella, N.[Neus],
Radeva, P.I.[Petia I.],
In-Vivo IVUS Tissue Classification:
A Comparison Between RF Signal Analysis and Reconstructed Images,
CIARP06(137-146).
Springer DOI
0611
BibRef
Makela, T.,
Clarysse, P.,
Sipila, O.,
Pauna, N.,
Pham, Q.C.[Quoc Cuong],
Katila, T.,
Magnin, I.E.,
A review of cardiac image registration methods,
MedImg(21), No. 9, September 2002, pp. 1011-1021.
IEEE Top Reference.
0301
BibRef
Tilg, B.,
Fischer, G.,
Modre, R.,
Hanser, F.,
Messnarz, B.,
Schocke, M.,
Kremser, C.,
Berger, T.,
Hintringer, F.,
Roithinger, F.X.,
Model-based imaging of cardiac electrical excitation in humans,
MedImg(21), No. 9, September 2002, pp. 1031-1039.
IEEE Top Reference.
0301
BibRef
Frangl, A.F.,
Rueckert, D.,
Duncan, J.S.,
Three-dimensional cardiovascular image analysis,
MedImg(21), No. 9, September 2002, pp. 1005-1010.
IEEE Top Reference.
0301
BibRef
Sheehan, F.H.,
Bolson, E.L.,
McDonald, J.A.,
Reisman, M.,
Koch, K.,
Poppas, A.,
Method for three-dimensional data registration from disparate imaging
modalities in the NOGA myocardial viability trial,
MedImg(21), No. 10, October 2002, pp. 1264-1270.
IEEE Top Reference.
0301
BibRef
Nguyen, T.D.,
Reeves, S.J.,
Denney, Jr., T.S.,
On the optimality of magnetic resonance tag patterns for heart wall
motion estimation,
IP(12), No. 5, May 2003, pp. 524-532.
IEEE DOI
0307
BibRef
Earlier:
New magnetic resonance tagging technique for directly measuring the
strain tensor of the in vivo human heart,
ICIP98(I: 694-698).
IEEE DOI
9810
BibRef
Denney, Jr., T.S.,
Prince, J.L.,
Lopez, M.J.,
McVeigh, E.R.,
Optimal tag pattern validation using magnetic resonance imaging,
ICIP94(I: 881-885).
IEEE DOI
9411
BibRef
Yan, L.T.[Li-Tao],
Denney, Jr., T.S.,
Unsupervised estimation of left ventricular displacement from MR tagged
images using Markov random field edge priors,
ICIP98(I: 689-693).
IEEE DOI
9810
BibRef
Ghanem, R.N.,
Ramanathan, C.,
Jia, P.[Ping],
Rudy, Y.,
Heart-surface reconstruction and ECG electrodes localization using
fluoroscopy, epipolar geometry and stereovision: application to
noninvasive imaging of cardiac electrical activity,
MedImg(22), No. 10, October 2003, pp. 1307-1318.
IEEE Abstract.
0310
BibRef
Sornborger, A.,
Sirovich, L.,
Morley, G.,
Extraction of periodic multivariate signals: mapping of
voltage-dependentdye fluorescence in the mouse heart,
MedImg(22), No. 12, December 2003, pp. 1537-1549.
IEEE Abstract.
0401
BibRef
Suzuki, K.,
Horiba, I.,
Sugie, N.,
Nanki, M.,
Extraction of Left Ventricular Contours From Left Ventriculograms by
Means of a Neural Edge Detector,
MedImg(23), No. 3, March 2004, pp. 330-339.
IEEE Abstract.
0403
BibRef
Medina, R.,
Garreau, M.,
Toro, J.,
Coatrieux, J.L.,
Jugo, D.,
Three-Dimensional Reconstruction of the Left Ventricle From Two
Angiographic Views: An Evidence Combination Approach,
SMC-A(34), No. 3, May 2004, pp. 359-370.
IEEE Abstract.
0404
BibRef
Medina, R.,
Garreau, M.,
Toro, J.,
Breton, H.L.,
Coatrieux, J.L.,
Jugo, D.,
Markov Random Field Modeling for Three-Dimensional Reconstruction of
the Left Ventricle in Cardiac Angiography,
MedImg(25), No. 8, August 2006, pp. 1087-1100.
IEEE DOI
0608
BibRef
Hansen, H.H.G.,
Lopata, R.G.P.,
de Korte, C.L.,
Noninvasive Carotid Strain Imaging Using Angular Compounding at Large
Beam Steered Angles: Validation in Vessel Phantoms,
MedImg(28), No. 6, June 2009, pp. 872-880.
IEEE DOI
0906
BibRef
Zhang, Y.N.[Ya-Ni],
Pham, B.T.,
Eckstein, M.P.,
Automated optimization of JPEG 2000 encoder options based on model
observer performance for detecting variable signals in X-ray coronary
angiograms,
MedImg(23), No. 4, April 2004, pp. 459-474.
IEEE Abstract.
0406
BibRef
Zhang, Y.N.[Ya-Ni],
Pham, B.T.,
Eckstein, M.P.,
Evaluation of JPEG 2000 encoder options: human and model observer
detection of variable signals in X-ray coronary angiograms,
MedImg(23), No. 5, May 2004, pp. 613-632.
IEEE Abstract.
0406
BibRef
Zhang, Y.N.[Ya-Ni],
Pham, B.T.,
Eckstein, M.P.,
The Effect of Nonlinear Human Visual System Components on Performance
of a Channelized Hotelling Observer in Structured Backgrounds,
MedImg(25), No. 10, October 2006, pp. 1348-1362.
IEEE DOI
0609
BibRef
Remme, E.W.,
Augenstein, K.F.,
Young, A.A.,
Hunter, P.J.,
Parameter Distribution Models for Estimation of Population Based Left
Ventricular Deformation Using Sparse Fiducial Markers,
MedImg(24), No. 3, March 2005, pp. 381-388.
IEEE Abstract.
0501
BibRef
Himel, IV, H.D.,
Knisley, S.B.,
Imaging of Cardiac Movement Using Ratiometric and Nonratiometric
Optical Mapping: Effects of Ischemia and 2, 3-Butaneodione Monoxime,
MedImg(25), No. 1, January 2006, pp. 122-127.
IEEE DOI
0601
BibRef
Kim, D.Y.[Do Yeon],
Park, J.W.[Jong Won],
Connectivity-based local adaptive thresholding for carotid artery
segmentation using MRA images,
IVC(23), No. 14, 12 December 2005, pp. 1277-1287.
Elsevier DOI
0601
BibRef
Sermesant, M.,
Delingette, H.,
Ayache, N.J.,
An Electromechanical Model of the Heart for Image Analysis and
Simulation,
MedImg(25), No. 5, May 2006, pp. 612-625.
IEEE DOI
0605
BibRef
Polat, K.[Kemal],
Günes, S.[Salih],
Tosun, S.[Sülayman],
Diagnosis of heart disease using artificial immune recognition system
and fuzzy weighted pre-processing,
PR(39), No. 11, November 2006, pp. 2186-2193.
Elsevier DOI
0608
BibRef
And:
Corrigendum:
PR(44), No. 6, June 2011, pp. 1327.
Elsevier DOI
1102
Heart disease; Artificial immune system; AIRS;
Fuzzy weighted pre-processing; k-fold cross validation; Medical diagnosis
BibRef
Gerbrands, J.J.[Jan J.],
Booman, F.[Fred],
Reiber, J.H.C.[Johan H.C.],
Computer analysis of moving radiopaque markers from X-ray cinefilms,
CGIP(11), No. 1, September 1979, pp. 35-48.
Elsevier DOI
0501
BibRef
Dumay, A.C.M.,
van der Geest, R.J.,
Gerbrands, J.J.,
Jansen, E.,
Reiber, J.H.C.,
Consistent inexact graph matching applied to labelling coronary
segments in arteriograms,
ICPR92(III:439-442).
IEEE DOI
9208
BibRef
Liu, H.F.[Hua-Feng],
Shi, P.C.[Peng-Cheng],
State-Space Analysis of Cardiac Motion With Biomechanical Constraints,
IP(16), No. 4, April 2007, pp. 901-917.
IEEE DOI
0704
BibRef
Wong, K.,
Liu, H.F.[Hua-Feng],
Sinusas, A.J.[Albert J.],
Shi, P.C.[Peng-Cheng],
Multiframe nonrigid motion analysis with anisotropic spatial
constraints: applications to cardiac image analysis,
ICIP04(I: 131-134).
IEEE DOI
0505
BibRef
Tong, S.[Shan],
Sinusas, A.J.[Albert J.],
Shi, P.C.[Peng-Cheng],
Sampled-Data H- Filtering for Robust Kinematics Estimation:
Applications to Biomechanics-Based Cardiac Image Analysis,
ICIP06(2525-2528).
IEEE DOI
0610
BibRef
And:
Continuous-Discrete Filtering for Cardiac Kinematics Estimation under
Spatio-Temporal Biomechanical Constrains,
ICPR06(I: 167-170).
IEEE DOI
0609
BibRef
Sang, N.[Nong],
Li, H.[Heng],
Peng, W.X.[Wei-Xue],
Zhang, T.X.[Tian-Xu],
Knowledge-based adaptive thresholding segmentation of digital
subtraction angiography images,
IVC(25), No. 8, 1 August 2007, pp. 1263-1270.
Elsevier DOI
0706
Digital subtraction angiography; Adaptive threshold; The busyness
BibRef
Fan, Y.[Yi],
Lu, H.B.[Hong-Bing],
Hao, C.Y.[Chong-Yang],
Liang, Z.R.[Zheng-Rong],
Zhou, Z.M.[Zhi-Ming],
Fast Analytical Reconstruction Of Gated Cardiac Spect With Non-uniform
Attenuation Compensation,
IJIG(7), No. 1, January 2007, pp. 87-104.
0701
BibRef
Ren, J.,
Patel, R.V.,
McIsaac, K.A.,
Guiraudon, G.,
Peters, T.M.,
Dynamic 3-D Virtual Fixtures for Minimally Invasive Beating Heart
Procedures,
MedImg(27), No. 8, August 2008, pp. 1061-1070.
IEEE DOI
0808
BibRef
Lasher, R.A.,
Hitchcock, R.W.,
Sachse, F.B.,
Towards Modeling of Cardiac Micro-Structure With Catheter-Based
Confocal Microscopy: A Novel Approach for Dye Delivery and Tissue
Characterization,
MedImg(28), No. 8, August 2009, pp. 1156-1164.
IEEE DOI
0909
BibRef
Savio, E.[Eleonora],
Goldhaber, J.I.[Joshua I.],
Bridge, J.H.B.[John H. B.],
Sachse, F.B.[Frank B.],
A Framework for Analyzing Confocal Images of Transversal Tubules in
Cardiomyocytes,
FIMH07(110-119).
Springer DOI
0706
BibRef
Romero, D.[Daniel],
Sachse, F.B.[Frank B.],
Sebastian, R.[Rafael],
Frangi, A.F.[Alejandro F.],
Towards High Resolution Computational Models of the Cardiac Conduction
System: A Pipeline for Characterization of
Purkinje-Ventricular-Junctions,
FIMH11(28-35).
Springer DOI
1105
BibRef
Zhang, Q.[Qi],
Eagleson, R.[Roy],
Peters, T.M.[Terry M.],
High-quality cardiac image dynamic visualization with feature
enhancement and virtual surgical tool inclusion,
VC(25), No. 11, November 2009, pp. xx-yy.
Springer DOI
0911
See also integrated range-sensing, segmentation and registration framework for the characterization of intra-surgical brain deformations in image-guided surgery, An.
BibRef
Zhang, Q.[Qi],
Eagleson, R.[Roy],
Peters, T.M.[Terry M.],
Rapid scalar value classification and volume clipping for interactive
3D medical image visualization,
VC(27), No. 1, January 2011, pp. 3-19.
WWW Link.
1103
BibRef
Mansi, T.,
Voigt, I.,
Leonardi, B.,
Pennec, X.[Xavier],
Durrleman, S.,
Sermesant, M.,
Delingette, H.[Hervé],
Taylor, A.M.,
Boudjemline, Y.,
Pongiglione, G.,
Ayache, N.J.[Nicholas J.],
A Statistical Model for Quantification and Prediction of Cardiac
Remodelling: Application to Tetralogy of Fallot,
MedImg(30), No. 9, September 2011, pp. 1605-1616.
IEEE DOI
1109
BibRef
Devilliers, L.[Loďc],
Allassonničre, S.[Stéphanie],
Trouvé, A.[Alain],
Pennec, X.[Xavier],
Template Estimation in Computational Anatomy:
Fréchet Means Top and Quotient Spaces Are Not Consistent,
SIIMS(10), No. 3, 2017, pp. 1139-1169.
DOI Link
1710
BibRef
Prakosa, A.,
Sermesant, M.,
Delingette, H.,
Marchesseau, S.,
Saloux, E.,
Allain, P.,
Villain, N.,
Ayache, N.J.,
Generation of Synthetic but Visually Realistic Time Series of Cardiac
Images Combining a Biophysical Model and Clinical Images,
MedImg(32), No. 1, January 2013, pp. 99-109.
IEEE DOI
1301
BibRef
Sebastian, R.,
Zimmerman, V.,
Romero, D.,
Sanchez-Quintana, D.,
Frangi, A.F.,
Characterization and Modeling of the Peripheral Cardiac Conduction
System,
MedImg(32), No. 1, January 2013, pp. 45-55.
IEEE DOI
1301
BibRef
Uma Vetri Selvi, G.,
Nadarajan, R.,
Coronary angiogram video compression using wavelet-based contourlet
transform and region-of-interest technique,
IET-IPR(6), No. 8, 2012, pp. 1049-1056.
DOI Link
1302
BibRef
Alessandrini, M.,
Basarab, A.,
Liebgott, H.,
Bernard, O.,
Myocardial Motion Estimation From Medical Images Using the Monogenic
Signal,
IP(22), No. 3, March 2013, pp. 1084-1095.
IEEE DOI
1302
BibRef
Marin, T.,
Kalayeh, M.M.,
Parages, F.M.,
Brankov, J.G.,
Numerical Surrogates for Human Observers in Myocardial Motion
Evaluation From SPECT Images,
MedImg(33), No. 1, January 2014, pp. 38-47.
IEEE DOI
1402
cardiology
BibRef
Hijazi, S.,
Page, A.,
Kantarci, B.,
Soyata, T.,
Machine Learning in Cardiac Health Monitoring and Decision Support,
Computer(49), No. 11, November 2016, pp. 38-48.
IEEE DOI
1612
decision support systems
BibRef
Oktay, O.,
Bai, W.,
Guerrero, R.,
Rajchl, M.,
de Marvao, A.,
O'Regan, D.P.,
Cook, S.A.,
Heinrich, M.P.,
Glocker, B.,
Rueckert, D.,
Stratified Decision Forests for Accurate Anatomical Landmark
Localization in Cardiac Images,
MedImg(36), No. 1, January 2017, pp. 332-342.
IEEE DOI
1701
Biomedical imaging
BibRef
Al-Naji, A.[Ali],
Chahl, J.[Javaan],
Contactless Cardiac Activity Detection Based on Head Motion
Magnification,
IJIG(17), No. 01, 2017, pp. 1750001.
DOI Link
1703
BibRef
Huang, Z.H.[Zheng-Hua],
Li, Q.[Qian],
Fang, H.[Hao],
Zhang, T.X.[Tian-Xu],
Sang, N.[Nong],
Iterative weighted nuclear norm for X-ray cardiovascular angiogram
image denoising,
SIViP(11), No. 8, November 2017, pp. 1445-1452.
Springer DOI
1710
BibRef
Huang, Z.H.[Zheng-Hua],
Li, Q.[Qian],
Zhang, T.X.[Tian-Xu],
Sang, N.[Nong],
Hong, H.Y.[Han-Yu],
Iterative weighted sparse representation for X-ray cardiovascular
angiogram image denoising over learned dictionary,
IET-IPR(12), No. 2, February 2018, pp. 254-261.
DOI Link
1801
BibRef
Mountney, P.,
Behar, J.M.,
Toth, D.,
Panayiotou, M.,
Reiml, S.,
Jolly, M.P.,
Karim, R.,
Zhang, L.,
Brost, A.,
Rinaldi, C.A.,
Rhode, K.,
A Planning and Guidance Platform for Cardiac Resynchronization
Therapy,
MedImg(36), No. 11, November 2017, pp. 2366-2375.
IEEE DOI
1711
Magnetic resonance imaging, Planning, Cardiology,
image registration, image segmentation, machine learning,
BibRef
Oktay, O.,
Ferrante, E.,
Kamnitsas, K.,
Heinrich, M.,
Bai, W.,
Caballero, J.,
Cook, S.A.,
de Marvao, A.,
Dawes, T.,
O'Regan, D.P.,
Kainz, B.,
Glocker, B.,
Rueckert, D.,
Anatomically Constrained Neural Networks (ACNNs):
Application to Cardiac Image Enhancement and Segmentation,
MedImg(37), No. 2, February 2018, pp. 384-395.
IEEE DOI
1802
Artificial neural networks, Biomedical imaging,
Computational modeling, Image resolution, Image segmentation,
medical image segmentation
BibRef
Frangi, A.F.,
Tsaftaris, S.A.,
Prince, J.L.,
Simulation and Synthesis in Medical Imaging,
MedImg(37), No. 3, March 2018, pp. 673-679.
IEEE DOI
1804
biomedical imaging, medical image processing, cardiology,
histopathology,
modeling
BibRef
Choudhary, T.,
Sharma, L.N.,
Bhuyan, M.K.,
Heart Sound Extraction From Sternal Seismocardiographic Signal,
SPLetters(25), No. 4, April 2018, pp. 482-486.
IEEE DOI
1804
Hilbert transforms, blood vessels, cardiovascular system,
discrete wavelet transforms, diseases, medical signal processing,
seismocardiogram
BibRef
Zheng, Q.,
Delingette, H.,
Duchateau, N.,
Ayache, N.,
3-D Consistent and Robust Segmentation of Cardiac Images by Deep
Learning With Spatial Propagation,
MedImg(37), No. 9, September 2018, pp. 2137-2148.
IEEE DOI
1809
Image segmentation, Training,
Machine learning,
spatial propagation
BibRef
Liu, M.[Miao],
Rong, X.L.[Xiao-Li],
Jiang, T.C.[Tie-Chao],
Representative discovery of structure cues for coronary heart disease
recognition based on quality assessment,
JVCIR(64), 2019, pp. 102607.
Elsevier DOI
1911
Image recognition, Image quality assessment,
Iterative reconstruction algorithm, Image match
BibRef
Wu, F.,
Zhuang, X.,
CF Distance: A New Domain Discrepancy Metric and Application to
Explicit Domain Adaptation for Cross-Modality Cardiac Image
Segmentation,
MedImg(39), No. 12, December 2020, pp. 4274-4285.
IEEE DOI
2012
Measurement, Training, Image segmentation, Neural networks,
Task analysis, Image reconstruction, Optimization,
characteristic function
BibRef
Barber, F.[Fernando],
Langfield, P.[Peter],
Lozano, M.[Miguel],
García-Fernández, I.[Ignacio],
Duchateau, J.[Josselin],
Hocini, M.[Mélčze],
Haďssaguerre, M.[Michel],
Vigmond, E.[Edward],
Sebastian, R.[Rafael],
Estimation of Personalized Minimal Purkinje Systems From Human
Electro-Anatomical Maps,
MedImg(40), No. 8, August 2021, pp. 2182-2194.
IEEE DOI
2108
Heart, Estimation, Magnetic resonance imaging, Junctions,
Computational modeling, Catheters, arrhythmia
BibRef
Lu, A.[Allen],
Ahn, S.S.[Shawn S.],
Ta, K.[Kevinminh],
Parajuli, N.[Nripesh],
Stendahl, J.C.[John C.],
Liu, Z.[Zhao],
Boutagy, N.E.[Nabil E.],
Jeng, G.S.[Geng-Shi],
Staib, L.H.[Lawrence H.],
O'Donnell, M.[Matthew],
Sinusas, A.J.[Albert J.],
Duncan, J.S.[James S.],
Learning-Based Regularization for Cardiac Strain Analysis via Domain
Adaptation,
MedImg(40), No. 9, September 2021, pp. 2233-2245.
IEEE DOI
2109
Strain, Adaptation models, Myocardium, Finite element analysis,
Feature extraction, Estimation, Data models, Cardiac function,
machine learning
BibRef
Pak, D.H.[Daniel H.],
Liu, M.L.[Min-Liang],
Kim, T.[Theodore],
Liang, L.[Liang],
Caballero, A.[Andres],
Onofrey, J.[John],
Ahn, S.S.[Shawn S.],
Xu, Y.L.[Yi-Lin],
McKay, R.[Raymond],
Sun, W.[Wei],
Gleason, R.[Rudolph],
Duncan, J.S.[James S.],
Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using
Deep Learning,
MedImg(43), No. 1, January 2024, pp. 203-215.
IEEE DOI Code:
WWW Link.
2401
BibRef
Melki, L.[Lea],
Tourni, M.[Melina],
Konofagou, E.E.[Elisa E.],
Electromechanical Wave Imaging With Machine Learning for Automated
Isochrone Generation,
MedImg(40), No. 9, September 2021, pp. 2258-2271.
IEEE DOI
2109
Strain, Imaging, Ultrasonic imaging, Standards, Myocardium,
Machine learning, Image segmentation,
zero-crossing selection
BibRef
Campello, V.M.[Víctor M.],
Gkontra, P.[Polyxeni],
Izquierdo, C.[Cristian],
Martín-Isla, C.[Carlos],
Sojoudi, A.[Alireza],
Full, P.M.[Peter M.],
Maier-Hein, K.[Klaus],
Zhang, Y.[Yao],
He, Z.Q.[Zhi-Qiang],
Ma, J.[Jun],
Parreńo, M.[Mario],
Albiol, A.[Alberto],
Kong, F.[Fanwei],
Shadden, S.C.[Shawn C.],
Acero, J.C.[Jorge Corral],
Sundaresan, V.[Vaanathi],
Saber, M.[Mina],
Elattar, M.[Mustafa],
Li, H.W.[Hong-Wei],
Menze, B.[Bjoern],
Khader, F.[Firas],
Haarburger, C.[Christoph],
Scannell, C.M.[Cian M.],
Veta, M.[Mitko],
Carscadden, A.[Adam],
Punithakumar, K.[Kumaradevan],
Liu, X.[Xiao],
Tsaftaris, S.A.[Sotirios A.],
Huang, X.Q.[Xiao-Qiong],
Yang, X.[Xin],
Li, L.[Lei],
Zhuang, X.[Xiahai],
Viladés, D.[David],
Descalzo, M.L.[Martín L.],
Guala, A.[Andrea],
Mura, L.L.[Lucia La],
Friedrich, M.G.[Matthias G.],
Garg, R.[Ria],
Lebel, J.[Julie],
Henriques, F.[Filipe],
Karakas, M.[Mahir],
Çavus, E.[Ersin],
Petersen, S.E.[Steffen E.],
Escalera, S.[Sergio],
Seguí, S.[Santi],
Rodríguez-Palomares, J.F.[José F.],
Lekadir, K.[Karim],
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation:
The M &Ms Challenge,
MedImg(40), No. 12, December 2021, pp. 3543-3554.
IEEE DOI
2112
Image segmentation, Heart, Training, Hospitals, Deep learning,
Biomedical engineering, Protocols, public dataset
BibRef
Wu, F.P.[Fu-Ping],
Zhuang, X.H.[Xia-Hai],
Unsupervised Domain Adaptation With Variational Approximation for
Cardiac Segmentation,
MedImg(40), No. 12, December 2021, pp. 3555-3567.
IEEE DOI
2112
Image segmentation, Training, Task analysis, Data models,
Adaptation models, Measurement, Feature extraction, cardiac segmentation
BibRef
Joshi, R.C.[Rakesh Chandra],
Khan, J.S.[Juwairiya Siraj],
Pathak, V.K.[Vinay Kumar],
Dutta, M.K.[Malay Kishore],
AI-CardioCare: Artificial Intelligence Based Device for Cardiac
Health Monitoring,
HMS(52), No. 6, December 2022, pp. 1292-1302.
IEEE DOI
2212
Heart, Phonocardiography, Stethoscope, Diseases, Feature extraction,
Deep learning, Medical services, Clinical diagnosis,
phonocardiogram
BibRef
Yang, T.Y.[Ting-Yang],
Zhang, Y.[Ye],
Zhu, M.X.[Meng-Xiao],
Wang, Y.[Yan],
An, S.[Shan],
Gu, X.Y.[Xiao-Yan],
Liu, X.W.[Xiao-Wei],
Han, J.C.[Jian-Cheng],
He, Y.H.[Yi-Hua],
Zhu, H.G.[Hao-Gang],
Segmentation of ten fetal heart components with coarse-to-fine
cascading and dynamic feature powering,
IET-IPR(16), No. 14, 2022, pp. 3831-3841.
DOI Link
2212
BibRef
Li, K.[Kang],
Yu, L.Q.[Le-Quan],
Heng, P.A.[Pheng-Ann],
Domain-Incremental Cardiac Image Segmentation With Style-Oriented
Replay and Domain-Sensitive Feature Whitening,
MedImg(42), No. 3, March 2023, pp. 570-581.
IEEE DOI
2303
Data models, Image segmentation, Task analysis, Predictive models,
Data privacy, Training, Computational modeling,
cardiac data heterogeneity
BibRef
Jyotishi, D.[Debasish],
Dandapat, S.[Samarendra],
An Attentive Spatio-Temporal Learning-Based Network for
Cardiovascular Disease Diagnosis,
SMCS(53), No. 8, August 2023, pp. 4661-4671.
IEEE DOI
2307
Electrocardiography, Lead, Convolutional neural networks,
Solid modeling, Heart, Neural networks, Hidden Markov models,
multihead criss-cross attention (MHCCA)
BibRef
Sasikaladevi, N.,
Revathi, A.,
Certainty-Based Deep Fused Neural Network Using Transfer Learning and
Adaptive Movement Estimation for the Diagnosis of Cardiomegaly,
IJIG(23), No. 4 2023, pp. 2350033.
DOI Link
2308
BibRef
Ding, Y.[Yi],
Mu, D.[Dan],
Zhang, J.Q.[Jia-Qi],
Qin, Z.[Zhen],
You, L.[Li],
Qin, Z.G.[Zhi-Guang],
Guo, Y.[Yingkun],
A cascaded framework with cross-modality transfer learning for whole
heart segmentation,
PR(147), 2024, pp. 110088.
Elsevier DOI
2312
Whole heart segmentation, Modality transfer,
Generative adversarial training, Unify data distribution, Attention mechanism
BibRef
Zhang, R.P.[Rui-Peng],
Qin, B.[Binjie],
Zhao, J.[Jun],
Zhu, Y.[Yueqi],
Lv, Y.S.[Yi-Song],
Ding, S.[Song],
Locating X-Ray Coronary Angiogram Keyframes via Long Short-Term
Spatiotemporal Attention With Image-to-Patch Contrastive Learning,
MedImg(43), No. 1, January 2024, pp. 51-63.
IEEE DOI Code:
WWW Link.
2401
BibRef
Kumar, K.A.[K. Antony],
Belinda, M.J.C.M.[M. J. Carmel Mary],
A Multi-Layer Acoustic Neural Network-Based Intelligent Early Diagnosis
System for Rheumatic Heart Disease,
IJIG(24), No. 1, January 2024, pp. 2450012.
DOI Link
2402
BibRef
Wang, L.J.[Lu-Jing],
Ma, Y.T.[Yun-Ting],
Zhang, W.Q.[Wan-Qiu],
Zhao, X.Y.[Xiao-Ying],
Zhao, X.X.[Xin-Xiang],
Learning on sample-efficient and label-efficient multi-view cardiac
data with graph transformer,
PRL(180), 2024, pp. 127-133.
Elsevier DOI
2404
Multi-view learning, Cardiovascular disease, Graph transformer,
Sample-efficient, Label-efficient
BibRef
Zhou, R.[Rushuang],
Lu, L.[Lei],
Liu, Z.J.[Zi-Jun],
Xiang, T.[Ting],
Liang, Z.[Zhen],
Clifton, D.A.[David A.],
Dong, Y.[Yining],
Zhang, Y.T.[Yuan-Ting],
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases
Prediction: A Multi-Dataset Study,
PAMI(46), No. 5, May 2024, pp. 3305-3320.
IEEE DOI
2404
Electrocardiography, Predictive models, Data models, Training,
Semisupervised learning, Deep learning, Correlation,
semi-supervised learning
BibRef
Li, K.[Kang],
Zhu, Y.[Yu],
Yu, L.Q.[Le-Quan],
Heng, P.A.[Pheng-Ann],
A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity
for Domain Incremental Cardiac Segmentation,
MedImg(43), No. 6, June 2024, pp. 2279-2290.
IEEE DOI
2406
Shape, Data models, Heart, Training data, Data privacy,
Computational modeling, Robustness, Domain incremental learning,
cardiac data heterogeneity
BibRef
Li, X.Y.[Xin-Yu],
Ai, D.[Danni],
Song, H.[Hong],
Fan, J.F.[Jing-Fan],
Fu, T.Y.[Tian-Yu],
Xiao, D.Q.[De-Qiang],
Wang, Y.[Yining],
Yang, J.[Jian],
STQD-Det: Spatio-Temporal Quantum Diffusion Model for Real-Time
Coronary Stenosis Detection in X-Ray Angiography,
PAMI(46), No. 12, December 2024, pp. 9908-9920.
IEEE DOI
2411
Noise, Diffusion models, Diffusion processes, Image segmentation,
Feature extraction, Object detection, Noise reduction,
video object detection
BibRef
Yan, B.[Biyu],
Lv, J.R.[Jin-Rong],
Gong, X.[Xun],
Cross-Level Adaptive Pyramid Pooling Network for Cardiac Structure
Segmentation,
SPLetters(32), 2025, pp. 2239-2243.
IEEE DOI
2506
Image segmentation, Annotations, Training, Kernel, Adaptive systems,
Decoding, Complexity theory, Shape, Magnetic resonance imaging,
cross-level pyramid pooling
BibRef
Ponomarchuk, A.[Alexander],
Kruzhilov, I.[Ivan],
Mazanov, G.[Gleb],
Utegenov, R.[Ruslan],
Shadrin, A.[Artem],
Zubkova, G.[Galina],
Bessonov, I.[Ivan],
Blinov, P.[Pavel],
CardioSyntax: End-to-End SYNTAX Score Prediction - Dataset, Benchmark
and Method,
WACV25(5873-5883)
IEEE DOI
2505
Solid modeling, Accuracy, Angiography, Estimation, Syntactics,
Benchmark testing, Transformers, Solids, Labeling,
artificial intelligence
BibRef
Pu, B.[Bin],
Wang, L.W.[Li-Wen],
Yang, J.[Jiewen],
He, G.[Guannan],
Dong, X.[Xingbo],
Li, S.L.[Sheng-Li],
Tan, Y.[Ying],
Chen, M.[Ming],
Jin, Z.[Zhe],
Li, K.[Kenli],
Li, X.M.[Xiao-Meng],
M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal
Cardiac Structure Detection,
CVPR24(11621-11630)
IEEE DOI Code:
WWW Link.
2410
Heart, Histograms, Hospitals, Fuses, Source coding, Object detection,
Anatomical structure, Unsupervised Domain Adaptation,
Dataset Benchmark
BibRef
Liang, H.Z.[Hui-Zhu],
Feng, Y.[Yue],
Xu, H.[Hong],
Lin, Z.[Zhuosheng],
Zhu, J.J.[Jia-Jian],
Liu, H.L.[Hui-Lin],
Li, S.K.[Sheng-Ke],
Qiu, S.[Shihan],
Zhang, S.S.[Shuang-Sheng],
Auricular images with annotations for segmenting key-organ mapping
regions in auricular diagnosis,
CVIDL23(98-102)
IEEE DOI
2403
Deep learning, Heart, Image segmentation, Tongue,
Annotations, Lung, auricular diagnosis, deep learning
BibRef
Liu, L.[Lu],
Brune, C.[Christoph],
Veldhuis, R.[Raymond],
Fourier Descriptor Loss and Polar Coordinate Transformation for
Pericardium Segmentation,
CAIP23(II:119-129).
Springer DOI
2312
BibRef
Vykopal, I.[Ivan],
Hudec, L.[Lukas],
Kveton, M.[Martin],
Fabian, O.[Ondrej],
Felsoova, A.[Andrea],
Benesova, W.[Wanda],
Deeplabv3+ Ensemble for Diagnosis of Cardiac Transplant Rejection,
CVS23(112-122).
Springer DOI
2312
BibRef
Kalapos, A.[András],
Gyires-Tóth, B.[Bálint],
Self-supervised Pretraining for 2d Medical Image Segmentation,
MIA-COVID19D22(472-484).
Springer DOI
2304
BibRef
Zhao, Z.Y.[Zi-Yuan],
Hu, J.X.[Jin-Xuan],
Zeng, Z.[Zeng],
Yang, X.[Xulei],
Qian, P.S.[Pei-Sheng],
Veeravalli, B.[Bharadwaj],
Guan, C.T.[Cun-Tai],
MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for
Semi-Supervised Cardiac Image Segmentation,
ICIP22(401-405)
IEEE DOI
2211
Representation learning, Deep learning, Image segmentation,
Visualization, Annotations, Supervised learning, Decoding,
medical image segmentation
BibRef
Bignardi, S.[Samuel],
Yezzi, A.J.[Anthony J.],
Dahiya, N.[Navdeep],
Comelli, A.[Albert],
Stefano, A.[Alessandro],
Piccinelli, M.[Marina],
Garcia, E.[Ernest],
Combining Convolutional Neural Networks and Anatomical Shape-Based
Priors for Cardiac Segmentation,
AIRCAD22(419-430).
Springer DOI
2208
BibRef
Ghizlane, E.[El_Khaloufi],
Noreddine, C.[Chaibi],
Sadek, B.A.[Belamfedel Alaoui],
Driss, E.J.[El-Jimi],
Ismail, B.[Boumhidi],
Design of Observer for Cardiovascular Anomalies Detection: an LMI
approach,
ISCV22(1-6)
IEEE DOI
2208
Heart rate, Cardiovascular system, Estimation, Observers, Valves,
Prediction algorithms, Mathematical models,
linear matrix inequality
BibRef
Pirozzi, I.[Ileana],
Kight, A.[Ali],
Aranda-Michael, E.[Edgar],
Shad, R.[Rohan],
Zhu, Y.J.[Yuan-Jia],
Waldman, L.K.[Lewis K.],
Hiesinger, W.[William],
Cutkosky, M.[Mark],
Cardiac Support for the Right Ventricle:
Effects of Timing on Hemodynamics-Biomechanics Tradeoff,
FIMH21(385-395).
Springer DOI
2108
BibRef
Longobardi, S.[Stefano],
Sher, A.[Anna],
Niederer, S.A.[Steven A.],
In Silico Mapping of the Omecamtiv Mecarbil Effects from the Sarcomere
to the Whole-Heart and Back Again,
FIMH21(406-415).
Springer DOI
2108
BibRef
Zhang, W.B.[Wen-Bo],
Li, D.S.[David S.],
Bui-Thanh, T.[Tan],
Sacks, M.S.[Michael S.],
High-Speed Simulation of the 3D Behavior of Myocardium Using a Neural
Network PDE Approach,
FIMH21(416-424).
Springer DOI
2108
BibRef
Waugh, R.[Rebecca],
Hussein, M.A.[Mohamed Abdelghafar],
Weller, J.[Jamie],
Sharma, K.[Kavita],
Greil, G.[Gerald],
Kahn, J.[Jeffrey],
Hussain, T.[Tarique],
Chabiniok, R.[Radomír],
Cardiac Modeling for Multisystem Inflammatory Syndrome in Children
(MIS-C, PIMS-TS),
FIMH21(435-446).
Springer DOI
2108
BibRef
Desrues, G.[Gaëtan],
Feuerstein, D.[Delphine],
Legay, T.[Thierry],
Cazeau, S.[Serge],
Sermesant, M.[Maxime],
Personal-by-Design: A 3D Electromechanical Model of the Heart Tailored
for Personalisation,
FIMH21(447-457).
Springer DOI
2108
BibRef
Hager, S.P.[Sandra P.],
Zhang, W.[Will],
Miller, R.M.[Renee M.],
Lee, J.[Jack],
Nordsletten, D.A.[David A.],
An Exploratory Assessment of Focused Septal Growth in Hypertrophic
Cardiomyopathy,
FIMH21(328-339).
Springer DOI
2108
BibRef
Vigneault, D.M.[Davis M.],
Contijoch, F.[Francisco],
Bridge, C.P.[Christopher P.],
Lowe, K.[Katherine],
Jan, C.[Chelsea],
McVeigh, E.R.[Elliot R.],
M-SiSSR: Regional Endocardial Function Using Multilabel Simultaneous
Subdivision Surface Registration,
FIMH21(242-252).
Springer DOI
2108
BibRef
Wang, S.L.[Shun-Li],
Varray, F.[François],
Yuan, F.[Feng],
Magnin, I.E.[Isabelle E.],
A Methodology for Accessing the Local Arrangement of the Sheetlets that
Make up the Extracellular Heart Tissue,
FIMH21(159-167).
Springer DOI
2108
BibRef
Galati, F.[Francesco],
Zuluaga, M.A.[Maria A.],
Efficient Model Monitoring for Quality Control in Cardiac Image
Segmentation,
FIMH21(101-111).
Springer DOI
2108
BibRef
Zhao, Z.[Zhou],
Puybareau, É.[Élodie],
Boutry, N.[Nicolas],
Géraud, T.[Thierry],
FOANet: A Focus of Attention Network with Application to Myocardium
Segmentation,
ICPR21(1120-1127)
IEEE DOI
2105
Location awareness, Image segmentation,
Shape, Pipelines, Magnetic resonance, Computer architecture
BibRef
Santacruz, P.[Pep],
Serratosa, F.[Francesc],
Incorporating a graph-matching algorithm into a muscle mechanics
model,
ICPR21(39-46)
IEEE DOI
2105
Heart, Degradation, Analytical models, Runtime, Tissue damage,
Heuristic algorithms, Muscles, graph matching,
differential model
BibRef
Singh, P.R.,
Gopalakrishnan, S.,
Mien, I.H.,
Ambikapathi, A.,
Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio
Measurement,
ICIP20(433-437)
IEEE DOI
2011
Lung, Heart, Measurement, X-ray imaging, Training, Image enhancement,
Robustness, Deep Reinforcement Learning,
Cardio-Thoracic Ratio
BibRef
Jing, M.,
Namee, B.M.,
McLaughlin, D.,
Steele, D.,
McNamee, S.,
Cullen, P.,
Finlay, D.,
McLaughlin, J.,
Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular
Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks
And Dynamic Time Warping,
ICIP20(365-369)
IEEE DOI
2011
Time series analysis, Testing, Biomarkers, Logic gates,
Immune system, Support vector machines,
classification
BibRef
Ngom, F.,
Fall, I.,
Camara, M.S.,
Bah, A.,
A study on predicting and diagnosing non-communicable diseases:
case of cardiovascular diseases,
ISCV20(1-8)
IEEE DOI
2011
cardiology, data mining, decision trees, diseases, medical computing,
naive Bayes methods, nearest neighbour methods, neural nets,
RISK FACTORS
BibRef
Kandil, H.,
Soliman, A.,
Taher, F.,
Ghazal, M.,
Hadi, M.,
Elmaghraby, A.,
El-Baz, A.,
Analysis Of The Importance Of Systolic Blood Pressure Versus
Diastolic Blood Pressure In Diagnosing Hypertension: MRA Study.,
ICIP20(443-447)
IEEE DOI
2011
Hypertension, Feature extraction, Blood pressure,
Support vector machines, Neural networks, Logistics,
Logistic Regression.
BibRef
Hosseinpour, S.A.,
Delavar, M.R.,
Hasani Baferani, H.,
A Web-based Smart Telecare System for Early Diagnosis of Heart Attack,
SMPR19(513-519).
DOI Link
1912
BibRef
Pearce-Lance, J.[Jacob],
Pop, M.[Mihaela],
Bourgault, Y.[Yves],
A Numerical Method for the Optimal Adjustment of Parameters in Ionic
Models Accounting for Restitution Properties,
FIMH19(46-54).
Springer DOI
1906
BibRef
Nuńez-Garcia, M.[Marta],
Bernardino, G.[Gabriel],
Doste, R.[Ruben],
Zhao, J.C.[Ji-Chao],
Camara, O.[Oscar],
Butakoff, C.[Constantine],
Standard Quasi-Conformal Flattening of the Right and Left Atria,
FIMH19(85-93).
Springer DOI
1906
BibRef
Pezzuto, S.[Simone],
Quaglino, A.[Alessio],
Potse, M.[Mark],
On Sampling Spatially-Correlated Random Fields for Complex Geometries,
FIMH19(103-111).
Springer DOI
1906
BibRef
van Osta, N.[Nick],
van der Donk, L.[Loes],
Rondanina, E.[Emanuele],
Bovendeerd, P.[Peter],
Modeling Cardiac Growth: An Alternative Approach,
FIMH19(258-265).
Springer DOI
1906
BibRef
Le Gall, A.[Arthur],
Vallée, F.[Fabrice],
Chapelle, D.[Dominique],
Chabiniok, R.[Radomír],
Minimally-Invasive Estimation of Patient-Specific End-Systolic
Elastance Using a Biomechanical Heart Model,
FIMH19(266-275).
Springer DOI
1906
BibRef
Duchateau, N.[Nicolas],
Rumindo, K.[Kenny],
Clarysse, P.[Patrick],
Domain Adaptation via Dimensionality Reduction for the Comparison of
Cardiac Simulation Models,
FIMH19(276-284).
Springer DOI
1906
BibRef
Banus, J.[Jaume],
Lorenzi, M.[Marco],
Camara, O.[Oscar],
Sermesant, M.[Maxime],
Large Scale Cardiovascular Model Personalisation for Mechanistic
Analysis of Heart and Brain Interactions,
FIMH19(285-293).
Springer DOI
1906
BibRef
Nasopoulou, A.[Anastasia],
Nordsletten, D.A.[David A.],
Niederer, S.A.[Steven A.],
Lamata, P.[Pablo],
Solution to the Unknown Boundary Tractions in Myocardial Material
Parameter Estimations,
FIMH19(313-322).
Springer DOI
1906
BibRef
Haliot, K.[Kylian],
Magat, J.[Julie],
Ozenne, V.[Valéry],
Abell, E.[Emma],
Dubes, V.[Virginie],
Bear, L.[Laura],
Gilbert, S.H.[Stephen H.],
Trew, M.L.[Mark L.],
Haissaguerre, M.[Michel],
Quesson, B.[Bruno],
Bernus, O.[Olivier],
3D High Resolution Imaging of Human Heart for Visualization of the
Cardiac Structure,
FIMH19(196-207).
Springer DOI
1906
BibRef
Gilbert, K.[Kathleen],
Suinesiaputra, A.[Avan],
Neubauer, S.[Stefan],
Piechnik, S.[Stefan],
Aung, N.[Nay],
Petersen, S.E.[Steffen E.],
Young, A.[Alistair],
End-Diastolic and End-Systolic LV Morphology in the Presence of
Cardiovascular Risk Factors: A UK Biobank Study,
FIMH19(304-312).
Springer DOI
1906
BibRef
Ruijsink, B.[Bram],
Zugaj, K.[Konrad],
Pushparajah, K.[Kuberan],
Chabiniok, R.[Radomír],
Model-Based Indices of Early-Stage Cardiovascular Failure and Its
Therapeutic Management in Fontan Patients,
FIMH19(379-387).
Springer DOI
1906
BibRef
Zhang, L.,
Singh, V.,
Qi, G.,
Chen, T.,
Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray
Angiography,
WACV19(91-100)
IEEE DOI
1904
angiocardiography, catheters, diagnostic radiography,
medical image processing, occluded landmark detection,
Task analysis
BibRef
Liu, F.,
Zhou, X.,
Wang, Z.,
Wang, T.,
Zhang, Y.,
Identification of Hypertension by Mining Class Association Rules from
Multi-dimensional Features,
ICPR18(3114-3119)
IEEE DOI
1812
Feature extraction, Hypertension, Automobiles,
Heart rate variability, Frequency-domain analysis, Fluctuations,
heart rate variability
BibRef
Ibrahim, N.,
Mahadi, L.F.,
Mahmud, F.,
Initial Study to Evaluate Fuzzy Logic on Diagnosis of Generic
Atherosclerosis,
ICVISP17(123-129)
IEEE DOI
1712
Signal processing, atherosclerosis, fuzzy logic,
intima-media thickness, membership function
BibRef
Ngoma, D.V.P.[Diogčne Vianney Pongui],
Bourgault, Y.[Yves],
Pop, M.[Mihaela],
Nkounkou, H.[Hilaire],
Adjustment of Parameters in Ionic Models Using Optimal Control Problems,
FIMH17(322-332).
Springer DOI
1706
BibRef
Pheiffer, T.[Thomas],
Soto-Iglesias, D.[David],
Nikulin, Y.[Yaroslav],
Passerini, T.[Tiziano],
Krebs, J.[Julian],
Sitges, M.[Marta],
Berruezo, A.[Antonio],
Camara, O.[Oscar],
Mansi, T.[Tommaso],
Estimation of Local Conduction Velocity from Myocardium Activation
Time: Application to Cardiac Resynchronization Therapy,
FIMH17(239-248).
Springer DOI
1706
BibRef
Chang, E.T.Y.[Eugene T. Y.],
Coveney, S.[Sam],
Clayton, R.H.[Richard H.],
Variance Based Sensitivity Analysis of IKr in a Model of the Human
Atrial Action Potential Using Gaussian Process Emulators,
FIMH17(249-259).
Springer DOI
1706
BibRef
Mollero, R.[Roch],
Hauser, J.A.[Jakob A.],
Pennec, X.[Xavier],
Datar, M.[Manasi],
Delingette, H.[Hervé],
Jones, A.[Alexander],
Ayache, N.J.[Nicholas J.],
Heimann, T.[Tobias],
Sermesant, M.[Maxime],
Longitudinal Parameter Estimation in 3D Electromechanical Models:
Application to Cardiovascular Changes in Digestion,
FIMH17(432-440).
Springer DOI
1706
BibRef
Dejea, H.[Hector],
Garcia-Canadilla, P.[Patricia],
Stampanoni, M.[Marco],
Zamora, M.[Monica],
Crispi, F.[Fatima],
Bijnens, B.[Bart],
Bonnin, A.[Anne],
Microstructural Analysis of Cardiac Endomyocardial Biopsies with
Synchrotron Radiation-Based X-Ray Phase Contrast Imaging,
FIMH17(23-31).
Springer DOI
1706
BibRef
Li, J.P.[Jin-Peng],
Zhang, R.Z.[Rong-Zhao],
Shi, L.[Lin],
Wang, D.F.[De-Feng],
Automatic Whole-Heart Segmentation in Congenital Heart Disease Using
Deeply-Supervised 3D FCN,
RAMBO16(111-118).
Springer DOI
1703
BibRef
Rohé, M.M.,
Molléro, R.,
Sermesant, M.,
Pennec, X.,
Highly reduced model of the cardiac function for fast simulation,
IVMSP16(1-5)
IEEE DOI
1608
Biological system modeling
BibRef
Poujol, J.,
Desvignes, M.,
Broisat, A.,
Barone-Rochette, G.,
Vanzetto, G.,
Fagret, D.,
Riou, L.,
Ghezzi, C.,
Myocardium segmentation on 3D spect images,
ICIP15(4788-4792)
IEEE DOI
1512
Heterogeneity Perfusion; Myocardium; SPECT; Segmentation; Shortest Path
BibRef
Ravon, G.[Gwladys],
Coudičre, Y.[Yves],
Iollo, A.[Angelo],
Bernus, O.[Oliver],
Walton, R.D.[Richard D.],
Issues in Modeling Cardiac Optical Mapping Measurements,
FIMH15(457-465).
Springer DOI
1507
BibRef
Zhang, X.Y.[Xing-Yu],
Ambale-Venkatesh, B.[Bharath],
Bluemke, D.A.[David A.],
Cowan, B.R.[Brett R.],
Finn, J.P.[J. Paul],
Hundley, W.G.[William G.],
Kadish, A.H.[Alan H.],
Lee, D.C.[Daniel C.],
Lima, J.A.C.[Joao A.C.],
Suinesiaputra, A.[Avan],
Young, A.A.[Alistair A.],
Medrano-Gracia, P.[Pau],
Orthogonal Shape Modes Describing Clinical Indices of Remodeling,
FIMH15(273-281).
Springer DOI
1507
BibRef
Chapelle, D.,
Felder, A.,
Chabiniok, R.,
Guellich, A.,
Deux, J.F.,
Damy, T.,
Patient-Specific Biomechanical Modeling of Cardiac Amyloidosis:
A Case Study,
FIMH15(295-303).
Springer DOI
1507
BibRef
Wang, V.Y.[Vicky Y.],
Wilson, A.J.[Alexander J.],
Sands, G.B.[Gregory B.],
Young, A.A.[Alistair A.],
Le Grice, I.J.[Ian J.],
Nash, M.P.[Martyn P.],
Microstructural Remodelling and Mechanics of Hypertensive Heart Disease,
FIMH15(382-389).
Springer DOI
1507
BibRef
Szilágyi, S.M.[Sándor Miklos],
Szilágyi, L.[László],
Hirsbrunner, B.[Béat],
Study of Electric and Mechanic Properties of the Implanted Artificial
Cardiac Tissue Using a Whole Heart Model,
CIARP13(II:230-237).
Springer DOI
1311
BibRef
Jiang, X.Y.[Xiao-Yan],
Haase, D.[Daniel],
Körner, M.[Marco],
Accurate 3D Multi-marker Tracking in X-ray Cardiac Sequences Using a
Two-Stage Graph Modeling Approach,
CAIP13(II:117-125).
Springer DOI
1311
BibRef
M'Hiri, F.[Faten],
Duong, L.[Luc],
Desrosiers, C.[Christian],
Combining Laplacian eigenmaps and vesselness filters for vessel
segmentation in X-ray angiography,
MCV12(70-75).
IEEE DOI
1207
BibRef
Xi, J.H.[Jia-He],
Lamata, P.[Pablo],
Shi, W.Z.[Wen-Zhe],
Niederer, S.[Steven],
Land, S.[Sander],
Rueckert, D.[Daniel],
Duckett, S.G.[Simon G.],
Shetty, A.K.[Anoop K.],
Rinaldi, C.A.[C. Aldo],
Razavi, R.[Reza],
Smith, N.[Nic],
An Automatic Data Assimilation Framework for Patient-Specific
Myocardial Mechanical Parameter Estimation,
FIMH11(392-400).
Springer DOI
1105
BibRef
Krueger, M.W.[Martin W.],
Schmidt, V.[Viktor],
Tobón, C.[Catalina],
Weber, F.M.[Frank M.],
Lorenz, C.[Cristian],
Keller, D.U.J.[David U. J.],
Barschdorf, H.[Hans],
Burdumy, M.[Michael],
Neher, P.[Peter],
Plank, G.[Gernot],
Rhode, K.S.[Kawal S.],
Seemann, G.[Gunnar],
Sanchez-Quintana, D.[Damien],
Saiz, J.[Jaview],
Razavi, R.[Reza],
Dossel, O.[Olaf],
Modeling Atrial Fiber Orientation in Patient-Specific Geometries:
A Semi-automatic Rule-Based Approach,
FIMH11(223-232).
Springer DOI
1105
BibRef
Wang, F.[Fei],
Zhang, Y.[Yong],
Beymer, D.[David],
Greenspan, H.[Hayit],
Syeda-Mahmood, T.[Tanveer],
Pyramid Histograms of Motion Context with Application to Angiogram
Video Classification,
FIMH11(384-391).
Springer DOI
1105
BibRef
Schneider, M.[Matthias],
Sundar, H.[Hari],
Liao, R.[Rui],
Hornegger, J.[Joachim],
Xu, C.Y.[Chen-Yang],
Model-based respiratory motion compensation for image-guided cardiac
interventions,
CVPR10(2948-2954).
IEEE DOI
1006
BibRef
Alattar, M.A.[Mustafa A.],
Osman, N.F.[Nael F.],
Fahmy, A.S.[Ahmed S.],
Myocardial Segmentation Using Constrained Multi-Seeded Region Growing,
ICIAR10(II: 89-98).
Springer DOI
1006
BibRef
Kakadiaris, I.A.,
Mendizabal-Ruiz, E.G.,
Kurkure, U.,
Naghavi, M.,
Challenges and Opportunities for Extracting Cardiovascular Risk
Biomarkers from Imaging Data,
CIARP09(227-235).
Springer DOI
0911
BibRef
Kang, W.W.[Wen-Wei],
Wang, K.[Ke],
Chen, W.Z.[Wan-Zhong],
Kang, W.Y.[Wen-Ying],
Segmentation Method Based on Fusion Algorithm for Coronary Angiograms,
CISP09(1-4).
IEEE DOI
0910
BibRef
Tranquillo, J.[Joseph],
Sunkara, A.[Adhira],
Can We Trust the Transgenic Mouse? Insights from Computer Simulations,
FIMH07(210-219).
Springer DOI
0706
BibRef
Kroon, W.[Wilco],
Delhaas, T.[Tammo],
Arts, T.[Theo],
Bovendeerd, P.[Peter],
Constitutive Modeling of Cardiac Tissue Growth,
FIMH07(340-349).
Springer DOI
0706
BibRef
Gilbert, S.H.[Stephen H.],
Benson, A.P.[Alan P.],
Li, P.[Pan],
Holden, A.V.[Arun V.],
Visualisation of Dog Myocardial Structure from Diffusion Tensor
Magnetic Resonance Imaging: The Paradox of Uniformity and Variability,
FIMH07(403-412).
Springer DOI
0706
BibRef
Kumar, D.[Dinesh],
Shen, D.G.[Ding-Gang],
Wei, L.Y.[Li-Yang],
Turlapthi, R.[Ram],
Suri, J.S.[Jasjit S.],
Motion Correction Strategies for Interventional Angiography Images:
A Comparative Approach,
ICIP07(I: 497-500).
IEEE DOI
0709
BibRef
Bravo, A.[Antonio],
Medina, R.[Rubén],
Díaz, J.A.[J. Arelis],
A Clustering Based Approach for Automatic Image Segmentation:
An Application to Biplane Ventriculograms,
CIARP06(316-325).
Springer DOI
0611
BibRef
Chan, M.Y.[Ming-Yuen],
Qu, H.M.[Hua-Min],
Wu, Y.C.[Ying-Cai],
Zhou, H.[Hong],
Viewpoint Selection for Angiographic Volume,
ISVC06(I: 528-537).
Springer DOI
0611
BibRef
Condurache, A.P.,
Aach, T.,
Kaiser, A.,
Radke, P.,
User-defined ROI tracking for estimation of the myocardial blush grade,
Southwest06(66-70).
IEEE DOI
0603
BibRef
Yu, G.[Gang],
Wang, C.G.[Chang-Guo],
Li, P.[Peng],
Miao, Y.L.[Ya-Lin],
Bian, Z.Z.[Zheng-Zhong],
A Statistical Level Set Framework for Segmentation of Left Ventricle,
IWICPAS06(396-405).
Springer DOI
0608
BibRef
Xue, X.W.[Xin-Wei],
Interactive 3D Heart Chamber Partitioning with a New Marker-Controlled
Watershed Algorithm,
ISVC05(92-99).
Springer DOI
0512
BibRef
Noble, J.A.[J. Alison],
Cardiology Meets Image Analysis: Just an Application or Can Image
Analysis Usefully Impact Cardiology Practice?,
CVBIA05(25-30).
Springer DOI
0601
BibRef
Zhuang, L.[Ling],
Liu, H.F.[Hua-Feng],
Chen, W.[Wei],
Bao, H.J.[Hu-Jun],
Shi, P.C.[Peng-Cheng],
Simultaneous Segmentation and Motion Recovery in 3D Cardiac Image
Analysis,
CVBIA05(499-507).
Springer DOI
0601
BibRef
Florin, C.[Charles],
Williams, J.[James],
Khamene, A.[Ali],
Paragios, N.[Nikos],
Registration of 3D Angiographic and X-Ray Images Using Sequential Monte
Carlo Sampling,
CVBIA05(427-436).
Springer DOI
0601
See also Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations.
BibRef
Groger, M.,
Sepp, W.,
Hirzinger, G.,
Structure Driven Substitution of Specular Reflections for Realtime
Heart Surface Tracking,
ICIP05(II: 1066-1069).
IEEE DOI
0512
BibRef
Bogunovic, H.[Hrvoje],
Loncaric, S.[Sven],
Denoising of Time-Density Data in Digital Subtraction Angiography,
SCIA05(1157-1166).
Springer DOI
0506
BibRef
Paul, R.V.,
Pattichis, M.S.,
Nested random phase sequence sets: a link between AM-FM demodulation
and increasing operators with application to cardiac image analysis,
Southwest04(196-200).
IEEE DOI
0411
BibRef
Lingrand, D.[Diane],
Charnoz, A.[Arnaud],
Koulibaly, P.M.[Pierre Malick],
Darcourt, J.[Jacques],
Montagnat, J.[Johan],
Toward Accurate Segmentation of the LV Myocardium and Chamber for
Volumes Estimation in Gated SPECT Sequences,
ECCV04(Vol IV: 267-278).
Springer DOI
0405
BibRef
Seringaoglu, Y.,
Brooks, D.H.,
MacLeod, R.S.,
A Bayesian approach to inclusion and performance analysis of using
extra information in bioelectric inverse problems,
ICIP03(I: 1089-1092).
IEEE DOI
0312
BibRef
Brooks, D.H.,
MacLeod, R.S.,
Imaging the Electrical Activity of the Heart:
Direct and Inverse Approaches,
ICIP94(III: 548-552).
IEEE DOI
9411
BibRef
Richter, J.[Jens],
Ericsson, A.[Anders],
Aström, K.[Kalle],
Kahl, F.[Fredrik],
Edenbrant, L.[Lars],
Automated Interpretation of Cardiac Scintigrams,
SCIA03(565-570).
Springer DOI
0310
BibRef
Liu, H.F.[Hua-Feng],
Shi, P.C.[Peng-Cheng],
Simultaneous estimation of left ventricular motion and material
properties with maximum a posteriori strategy,
CVPR03(I: 161-168).
IEEE DOI
0307
BibRef
Corona, E.,
Mitra, S.,
Wilson, M.,
A fast algorithm for registration of individual frames and information
recovery in fluorescein angiography video image analysis,
Southwest02(265-268).
IEEE Top Reference.
0208
BibRef
Christiaens, J.,
van de Walle, R.,
Lemahieu, I.,
A Simple Determination System for Optimal Angiographic Viewing Angles
and QCA Parameters,
ICIP01(II: 327-330).
IEEE DOI
0108
BibRef
Newman, T.S.,
Yi, H.,
Compound Extraction and Fitting Method for Detecting Cardiac Ventricle
in SPECT Data,
ICPR00(Vol IV: 328-331).
IEEE DOI
0009
BibRef
de Murcia, J.,
Grangeat, P.,
Spatio-temporally regularized reconstruction of gated SPECT myocardial
image sequences,
ICIP96(II: 721-724).
IEEE DOI
9610
BibRef
Brigger, P.,
Bacharach, S.,
Aldroubi, A., and
Unser, M.,
Segmentation of Gated SPECT Images for Automatic Computation of
Myocardial Volume and Ejection Fraction,
ICIP97(II: 113-116).
IEEE DOI
BibRef
9700
Bao, Y.,
Stiehl, H.S.,
The epipolar line constraint for precise biplane angiogram analysis,
ICPR92(III:485-488).
IEEE DOI
9208
BibRef
Tehrani, S.,
Weymouth, T.E.,
Mancini, G.B.J.,
Knowledge-guided left ventricular boundary detection,
CVPR89(342-347).
IEEE DOI
0403
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Heart, Cardiac Analysis using MRI Analysis, Cardiac MRI .