21.10 Medical Applications -- Heart, Cardiac Applications

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.[Loïc], Allassonnière, 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.[Mélèze], Haïssaguerre, 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.[Yilin], 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], Parreño, 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
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Li, K.[Kang], Yu, L.[Lequan], 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, Januaur 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.[Lequan], 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

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
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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
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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
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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
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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
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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
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Wang, S.[Shunli], 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
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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
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Nuñez-Garcia, M.[Marta], Bernardino, G.[Gabriel], Doste, R.[Ruben], Zhao, J.[Jichao], 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
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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
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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
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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.[Diogène 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
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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
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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
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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
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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
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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
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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], Coudière, Y.[Yves], Iollo, A.[Angelo], Bernus, O.[Oliver], Walton, R.D.[Richard D.],
Issues in Modeling Cardiac Optical Mapping Measurements,
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Springer DOI 1507
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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
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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
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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
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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,
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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,
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M'Hiri, F.[Faten], Duong, L.[Luc], Desrosiers, C.[Christian],
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MCV12(70-75).
IEEE DOI 1207
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Heart, Cardiac Analysis using MRI Analysis, Cardiac MRI .