21.10.5 Heart, Cardiac, Echocardiography, Ultrasound

Wilson, D.C.[David C.], Geiser, E.A.[Edward A.],
Automatic center point determination in two-dimensional short-axis echocardiographic images,
PR(25), No. 9, September 1992, pp. 893-900.
Elsevier DOI 0401
BibRef

Wilson, D.C., Geiser, E.A., Li, J.H.[Jun-Hua],
Feature extraction in 2-D short-axis echocardiographic images,
JMIV(3), No. 4, 1993, pp. 285-298. BibRef 9300

Baldock, R.A.[Richard A.],
Trainable models for the interpretation of biomedical images,
IVC(10), No. 6, July-August 1992, pp. 444-449.
Elsevier DOI 0401
Use explicit models in the interpretation of echocardiogram images. BibRef

Hill, A., Taylor, C.J.,
Model-Based Image Interpretation Using Genetic Algorithms,
IVC(10), No. 5, June 1992, pp. 295-300.
Elsevier DOI BibRef 9206
Earlier: BMVC91(xx-yy).
PDF File. 9109

See also Automatic Interpretation and Coding of Face Images Using Flexible Models. Left ventricle boundries in echocardiograms. BibRef

Ratter, A., Baujard, O., Taylor, C.J., Cootes, T.F.,
A Distributed Approach to Image Interpretation Using Model-Based Spatial Reasoning,
BMVC93(xx-yy).
PDF File. 9309
BibRef

Hill, A., Thornham, A., Taylor, C.J.,
Model-Based Interpretation of 3D Medical Images,
BMVC93(xx-yy).
PDF File. 9309
BibRef

Hill, A., Taylor, C.J., Cootes, T.F.,
Object Recognition by Flexible Template Matching Using Genetic Algorithms,
ECCV92(852-856).
Springer DOI BibRef 9200

Dias, J.M.B., Leitao, J.M.N.,
Wall position and thickness estimation from sequences of echocardiographic images,
MedImg(15), No. 1, February 1996, pp. 25-38.
IEEE Top Reference. 0203
BibRef

Evans, A.N., Nixon, M.S.,
Biased motion-adaptive temporal filtering for speckle reduction in echocardiography,
MedImg(15), No. 1, February 1996, pp. 39-50.
IEEE Top Reference. 0203
BibRef

Bailes, D.R.,
The Use of the Gray-Level SAT to Find the Salient Cavities in Echocardiograms,
JVCIR(7), No. 2, June 1996, pp. 169-195. 9607
BibRef
Earlier:
The use of the grey level SAT to find the salient cavities in echocardiograms,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Bailes, D.R., Taylor, C.J.,
The Use of Symmetry Chords for Expressing Grey Level Constraints,
BMVC92(xx-yy).
PDF File. 9209
BibRef

Maes, L., Bijnens, B., Suetens, P., van de Werf, F.,
Automated contour detection of the left ventricle in short axis view in 2D echocardiograms,
MVA(6), No. 1, 1993, pp. 1-9. BibRef 9300

Malassiotis, S., Strintzis, M.G.,
Tracking the left ventricle in echocardiographic images by learning heart dynamics,
MedImg(18), No. 3, March 1999, pp. 282-290.
IEEE Top Reference. 0110
BibRef

Angelini, E.D., Laine, A.F., Takuma, S., Holmes, J.W., Homma, S.,
LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography,
MedImg(20), No. 6, June 2001, pp. 457-469.
IEEE Top Reference. 0110
BibRef

Fetics, B.J., Wong, E.Y., Murabayashi, T., Nelson, G.S., Cohen, M., Rochitte, C.E., Weiss, J.L., Kass, D.A., Nevo, E.,
Enhancement of contrast echocardiography by image variability analysis,
MedImg(20), No. 11, November 2001, pp. 1123-1130.
IEEE Top Reference. 0111
BibRef

Bonciu, C., Weber, R., Léger, C.,
4D reconstruction of the left ventricle during a single heart beat from ultrasound imaging,
IVC(19), No. 6, April 2001, pp. 401-412.
Elsevier DOI 0105
BibRef

Jacob, G., Noble, J.A., Behrenbruch, C., Kelion, A.D., Banning, A.P.,
A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function applied in echocardiography,
MedImg(21), No. 3, March 2002, pp. 226-238.
IEEE Top Reference. 0205
BibRef

Corsi, C., Saracino, G., Sarti, A., Lamberti, C.,
Left ventricular volume estimation for real-time three-dimensional echocardiography,
MedImg(21), No. 9, September 2002, pp. 1202-1208.
IEEE Top Reference. 0301
BibRef

Zeng, L.[Li], Jansen, C.P., Marsch, S., Unser, M., Hunziker, P.R.,
Four-dimensional wavelet compression of arbitrarily sized echocardiographic data,
MedImg(21), No. 9, September 2002, pp. 1179-1187.
IEEE Top Reference. 0301
BibRef

Brusseau, E., de Korte, C.L., Mastik, F., Schaar, J., van der Steen, A.F.W.,
Fully automatic luminal contour segmentation in intracoronary ultrasound imaging-a statistical approach,
MedImg(23), No. 5, May 2004, pp. 554-566.
IEEE Abstract. 0406
BibRef

Suhling, M., Arigovindan, M., Jansen, C.P., Hunziker, P.R., Unser, M.,
Myocardial Motion Analysis From B-Mode Echocardiograms,
IP(14), No. 4, April 2005, pp. 525-536.
IEEE DOI 0501
BibRef

Arigovindan, M., Suhling, M., Jansen, C.P., Hunziker, P.R., Unser, M.,
Full Motion and Flow Field Recovery From Echo Doppler Data,
MedImg(26), No. 1, January 2007, pp. 31-45.
IEEE DOI 0701
BibRef

Ledesma-Carbayo, M.J., Kybic, J., Desco, M., Santos, A., Suhling, M., Hunziker, P.R., Unser, M.,
Spatio-Temporal Nonrigid Registration for Ultrasound Cardiac Motion Estimation,
MedImg(24), No. 9, September 2005, pp. 1113-1126.
IEEE DOI 0509
BibRef

Bosch, J.G., Mitchell, S.C., Lelieveldt, B.P.F., Nijland, F., Kamp, O., Sonka, M., Reiber, J.H.C.,
Automatic segmentation of echocardiographic sequences by active appearance motion models,
MedImg(21), No. 11, November 2002, pp. 1374-1383.
IEEE Top Reference. 0301
BibRef

Leung, K.Y.E., van Stralen, M., Nemes, A., Voormolen, M.M., van Burken, G., Geleijnse, M.L., ten Cate, F.J., Reiber, J.H.C., de Jong, N., van der Steen, A.F.W., Bosch, J.G.,
Sparse Registration for Three-Dimensional Stress Echocardiography,
MedImg(27), No. 11, November 2008, pp. 1568-1579.
IEEE DOI 0811
BibRef

d'Hooge, J., Bijnens, B., Thoen, J., van de Werf, F., Sutherland, G.R., Suetens, P.,
Echocardiographic strain and strain-rate imaging: a new tool to study regional myocardial function,
MedImg(21), No. 9, September 2002, pp. 1022-1030.
IEEE Top Reference. 0301
BibRef

Elen, A., Choi, H.F., Loeckx, D., Gao, H., Claus, P., Suetens, P., Maes, F., d'Hooge, J.,
Three-Dimensional Cardiac Strain Estimation Using Spatio-Temporal Elastic Registration of Ultrasound Images: A Feasibility Study,
MedImg(27), No. 11, November 2008, pp. 1580-1591.
IEEE DOI 0811
BibRef

Ye, X.J.[Xu-Jiong], Noble, J.A., Atkinson, D.,
3-D freehand echocardiography for automatic left ventricle reconstruction and analysis based on multiple acoustic windows,
MedImg(21), No. 9, September 2002, pp. 1051-1058.
IEEE Top Reference. 0301
BibRef

Gerard, O., Billon, A.C., Rouet, J.M., Jacob, M., Fradkin, M., Allouche, C.,
Efficient model-based quantification of left ventricular function in 3-D echocardiography,
MedImg(21), No. 9, September 2002, pp. 1059-1068.
IEEE Top Reference. 0301
BibRef

Sanchez-Ortiz, G.I., Wright, G.J.T., Clarke, N., Declerck, J., Banning, A.P., Noble, J.A.,
Automated 3-D echocardiography analysis compared with manual delineations and spect MUGA,
MedImg(21), No. 9, September 2002, pp. 1069-1076.
IEEE Top Reference. 0301
BibRef

Song, M.Z.[Ming-Zhou], Haralick, R.M., Sheehan, F.H., Johnson, R.K.,
Integrated surface model optimization for freehand three-dimensional echocardiography,
MedImg(21), No. 9, September 2002, pp. 1077-1090.
IEEE Top Reference. 0301
BibRef

Song, M., Haralick, R.M., Sheehan, F.,
Ultrasound Imaging Simulation and Echocardiographic Image Synthesis,
ICIP00(Vol III: 420-423).
IEEE DOI 0008
BibRef

Wolf, I., Hastenteufel, M., de Simone, R., Vetter, M., Glombitza, G., Mottl-Link, S., Vahl, C.F., Meinzer, H.P.,
ROPES: a semiautomated segmentation method for accelerated analysis of three-dimensional echocardiographic data,
MedImg(21), No. 9, September 2002, pp. 1091-1104.
IEEE Top Reference. 0301
BibRef

Yan, J.Y.[Jia-Yong], Zhuang, T.G.[Tian-Ge],
Applying improved fast marching method to endocardial boundary detection in echocardiographic images,
PRL(24), No. 15, November 2003, pp. 2777-2784.
Elsevier DOI 0308
BibRef

Mishra, A., Dutta, P.K., Ghosh, M.K.,
A GA based approach for boundary detection of left ventricle with echocardiographic image sequences,
IVC(21), No. 11, October 2003, pp. 967-976.
Elsevier DOI 0310
BibRef

Mishra, A., Dutta, P.K., Ghosh, M.K.,
Fuzzy shape based motion evaluation of left ventricle using genetic algorithm,
IVC(24), No. 5, 1 May 2006, pp. 436-446.
Elsevier DOI 0606
Fuzzy shape properties; Genetic algorithm; Left ventricular motion; MRI and echocardiography images BibRef

Hang, X.[Xiyi], Greenberg, N.L.[Neil L.], Thomas, J.D.[James D.],
Compression of pre-scan-converted echocardiographic video using wavelet packet and integer wavelet transforms,
IVC(24), No. 9, September 2006, pp. 915-925.
Elsevier DOI 0608
Wavelet packet transform; Integer wavelet transform; SPIHT; Echocardiography; Compression BibRef

Comaniciu, D., Zhou, X.S., Krishnan, S.,
Robust Real-Time Myocardial Border Tracking for Echocardiography: An Information Fusion Approach,
MedImg(23), No. 7, July 2004, pp. 849-860.
IEEE Abstract. 0407
BibRef

Zhou, X.S.[Xiang Sean], Comaniciu, D., Gupta, A.,
An Information Fusion Framework for Robust Shape Tracking,
PAMI(27), No. 1, January 2005, pp. 115-129.
IEEE Abstract. 0412
Use shape models. Track in echocardiograms. BibRef

Georgescu, B., Zhou, X.S., Comaniciu, D., Gupta, A.,
Database-Guided Segmentation of Anatomical Structures with Complex Appearance,
CVPR05(II: 429-436).
IEEE DOI 0507
BibRef

Georgescu, B.[Bogdan], Zhou, X.S.[Xiang Sean], Comaniciu, D.[Dorin], Rao, R.B.[R. Bharat],
Method and system for multi-modal component-based tracking of an object using robust information fusion,
US_Patent7,072,494, Jul 4, 2006
WWW Link. BibRef 0607

Georgescu, B.[Bogdan], Comaniciu, D.[Dorin], Han, T.X.[Tony X.], Zhou, X.S.[Xiang Sean],
Multi-Model Component-Based Tracking Using Robust Information Fusion,
SMVP04(61-70).
Springer DOI 0505
BibRef

Shekhar, R., Zagrodsky, V., Garcia, M.J., Thomas, J.D.,
Registration of Real-Time 3-D Ultrasound Images of the Heart for Novel 3-D Stress Echocardiography,
MedImg(23), No. 9, September 2004, pp. 1141-1149.
IEEE Abstract. 0409
BibRef

Zagrodsky, V., Walimbe, V., Castro-Pareja, C.R., Qin, J.X., Song, J.M., Shekhar, R.,
Registration-Assisted Segmentation of Real-Time 3-D Echocardiographic Data Using Deformable Models,
MedImg(24), No. 9, September 2005, pp. 1089-1099.
IEEE DOI 0509
BibRef

Brusseau, E., Kybic, J.[Jan], Deprez, J.F., Basset, O.,
2-D Locally Regularized Tissue Strain Estimation From Radio-Frequency Ultrasound Images: Theoretical Developments and Results on Experimental Data,
MedImg(27), No. 2, February 2008, pp. 145-160.
IEEE DOI 0802
BibRef

Tao, Z., Tagare, H.D., Beaty, J.D.,
Evaluation of Four Probability Distribution Models for Speckle in Clinical Cardiac Ultrasound Images,
MedImg(25), No. 11, November 2006, pp. 1483-1491.
IEEE DOI 0611
BibRef

Qian, X.N.[Xiao-Ning], Tagare, H.D.[Hemant D.], Tao, Z.[Zhong],
Segmentation of Rat Cardiac Ultrasound Images with Large Dropout Regions,
MMBIA06(93).
IEEE DOI 0609
BibRef

Grau, V., Becher, H., Noble, J.A.,
Registration of Multiview Real-Time 3-D Echocardiographic Sequences,
MedImg(26), No. 9, September 2007, pp. 1154-1165.
IEEE DOI 0710
BibRef

Hansegård, J.[Jøger], Urheim, S., Lunde, K., Rabben, S.I.[Stein I.],
Constrained Active Appearance Models for Segmentation of Triplane Echocardiograms,
MedImg(26), No. 10, October 2007, pp. 1391-1400.
IEEE DOI 0711
BibRef

Orderud, F.[Fredrik], Rabben, S.I.[Stein Inge],
Real-time 3D segmentation of the left ventricle using deformable subdivision surfaces,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Hansegård, J.[Jøger], Orderud, F.[Fredrik], Rabben, S.I.[Stein I.],
Real-Time Active Shape Models for Segmentation of 3D Cardiac Ultrasound,
CAIP07(157-164).
Springer DOI 0708
BibRef

Phua, K.[Koksoon], Chen, J.F.[Jian-Feng], Dat, T.H.[Tran Huy], Shue, L.[Louis],
Heart sound as a biometric,
PR(41), No. 3, March 2008, pp. 906-919.
Elsevier DOI 0711
Biometric; Authentication; Identification; Recognition; Verification; Heart sounds BibRef

Cheng, J.R.[Jie-Rong], Foo, S.W.[Say-Wei],
Boundary Detection in Echocardiographic Images Using Markovian Level Set Method,
IEICE(E90-D), No. 8, August 2007, pp. 1292-1300.
DOI Link 0708
BibRef

Destrempes, F., Meunier, J., Giroux, M.F., Soulez, G., Cloutier, G.,
Segmentation in Ultrasonic B-Mode Images of Healthy Carotid Arteries Using Mixtures of Nakagami Distributions and Stochastic Optimization,
MedImg(28), No. 2, February 2009, pp. 215-229.
IEEE DOI 0902
BibRef

Destrempes, F., Porée, J., Cloutier, G.,
Estimation Method of the Homodyned K-Distribution Based on the Mean Intensity and Two Log-Moments,
SIIMS(6), No. 3, 2013, pp. 1499-1530.
DOI Link 1310
BibRef

Rocha, R.[Rui], Campilho, A.[Aurelio], Silva, J.[Jorge], Azevedo, E.[Elsa], Santos, R.[Rosa],
Segmentation of the carotid intima-media region in B-mode ultrasound images,
IVC(28), No. 4, April 2010, pp. 614-625.
Elsevier DOI 1002
Ultrasound image; Carotid; Image segmentation; Dynamic programming; Geometric snakes; Thresholding BibRef

Arafat, M.A.[Muhammad Abdullah], Chowdhury, A.W.[Abdul Wadud], Hasan, M.K.[M. Kamrul],
A simple time domain algorithm for the detection of ventricular fibrillation in electrocardiogram,
SIViP(5), No. 1, March 2011, pp. 1-10.
WWW Link. 1103
BibRef

Swillens, A., de Santis, G., Degroote, J., Lovstakken, L., Vierendeels, J., Segers, P.,
Accuracy of Carotid Strain Estimates From Ultrasonic Wall Tracking: A Study Based on Multiphysics Simulations and In Vivo Data,
MedImg(31), No. 1, January 2012, pp. 131-139.
IEEE DOI 1201
BibRef

Taki, H., Taki, K., Sakamoto, T., Yamakawa, M., Shiina, T., Kudo, M., Sato, T.,
High Range Resolution Ultrasonographic Vascular Imaging Using Frequency Domain Interferometry With the Capon Method,
MedImg(31), No. 2, February 2012, pp. 417-429.
IEEE DOI 1202
BibRef

Molinari, F., Pattichis, C.S., Zeng, G., Saba, L., Acharya, U.R., Sanfilippo, R., Nicolaides, A., Suri, J.S.,
Completely Automated Multiresolution Edge Snapper: A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on a Multi-Institutional Database,
IP(21), No. 3, March 2012, pp. 1211-1222.
IEEE DOI 1203
BibRef

Broxvall, M., Emilsson, K., Thunberg, P.,
Fast GPU Based Adaptive Filtering of 4D Echocardiography,
MedImg(31), No. 6, June 2012, pp. 1165-1172.
IEEE DOI 1206
BibRef

Urban, M.W., Pislaru, C., Nenadic, I.Z., Kinnick, R.R., Greenleaf, J.F.,
Measurement of Viscoelastic Properties of In Vivo Swine Myocardium Using Lamb Wave Dispersion Ultrasound Vibrometry (LDUV),
MedImg(32), No. 2, February 2013, pp. 247-261.
IEEE DOI 1301
BibRef

Heyde, B., Jasaityte, R., Barbosa, D., Robesyn, V., Bouchez, S., Wouters, P., Maes, F., Claus, P., d'Hooge, J.,
Elastic Image Registration Versus Speckle Tracking for 2-D Myocardial Motion Estimation: A Direct Comparison In Vivo,
MedImg(32), No. 2, February 2013, pp. 449-459.
IEEE DOI 1301
BibRef

Tenbrinck, D.[Daniel], Schmid, S.[Sönke], Jiang, X.Y.[Xiao-Yi], Schäfers, K.[Klaus], Stypmann, J.[Jörg],
Histogram-Based Optical Flow for Motion Estimation in Ultrasound Imaging,
JMIV(47), No. 1-2, September 2013, pp. 138-150.
Springer DOI 1307
BibRef

Schmid, S.[Sönke], Tenbrinck, D.[Daniel], Jiang, X.Y.[Xiao-Yi], Schäfers, K.[Klaus], Tiemann, K.[Klaus], Stypmann, J.[Jörg],
Histogram-Based Optical Flow for Functional Imaging in Echocardiography,
CAIP11(I: 477-485).
Springer DOI 1109
BibRef

Wang, P., Ecabert, O., Chen, T., Wels, M., Rieber, J., Ostermeier, M., Comaniciu, D.,
Image-based Co-Registration of Angiography and Intravascular Ultrasound Images,
MedImg(32), No. 12, 2013, pp. 2238-2249.
IEEE DOI 1312
Angiography BibRef

Timmins, L.H., Suever, J.D., Eshtehardi, P., McDaniel, M.C., Oshinski, J.N., Samady, H., Giddens, D.P.,
Framework to Co-register Longitudinal Virtual Histology-Intravascular Ultrasound Data in the Circumferential Direction,
MedImg(32), No. 11, 2013, pp. 1989-1996.
IEEE DOI 1312
biomedical ultrasonics BibRef

Oktay, A.B.[Ayse Betul], Akgul, Y.S.[Yusuf Sinan],
Extraction of left ventricle borders with local and global priors from echocardiograms,
MVA(24), No. 7, October 2013, pp. 1393-1403.
WWW Link. 1309
BibRef
Earlier:
Echocardiographic contour extraction with local and global priors through boosting and level sets,
MMBIA09(46-51).
IEEE DOI 0906
BibRef
Earlier:
A Novel Level Set Based Echocardiographic Contour Extraction Method with Prior Knowledge,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Sofka, M.[Michal], Zhang, J.D.[Jing-Dan], Good, S., Zhou, S.H.K.[S.H. Kevin], Comaniciu, D.[Dorin],
Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network (IDN),
MedImg(33), No. 5, May 2014, pp. 1054-1070.
IEEE DOI 1405
BibRef
Earlier: A1, A2, A4, A5, Only:
Multiple object detection by sequential monte carlo and Hierarchical Detection Network,
CVPR10(1735-1742).
IEEE DOI 1006
Computational modeling BibRef

Zhang, J.D.[Jing-Dan], Zhou, S.H.K.[Shao-Hua Kevin], McMillan, L.[Leonard], Comaniciu, D.[Dorin],
Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network,
CVPR07(1-8).
IEEE DOI 0706
Left ventricle from ultrasound. BibRef

Alessandrini, M., Basarab, A., Boussel, L., Guo, X., Serusclat, A., Friboulet, D., Kouame, D., Bernard, O., Liebgott, H.,
A New Technique for the Estimation of Cardiac Motion in Echocardiography Based on Transverse Oscillations: A Preliminary Evaluation In Silico and a Feasibility Demonstration In Vivo,
MedImg(33), No. 5, May 2014, pp. 1148-1162.
IEEE DOI 1405
Array signal processing BibRef

Porras, A.R., Alessandrini, M., de Craene, M., Duchateau, N., Sitges, M., Bijnens, B.H., Delingette, H., Sermesant, M., d'Hooge, J., Frangi, A.F., Piella, G.[Gemma],
Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images,
MedImg(33), No. 11, November 2014, pp. 2098-2106.
IEEE DOI 1411
Doppler measurement BibRef

Gorpas, D., Fatakdawala, H., Bec, J., Ma, D.[Dinglong], Yankelevich, D.R., Qi, J.Y.[Jin-Yi], Marcu, L.,
Fluorescence Lifetime Imaging and Intravascular Ultrasound: Co-Registration Study Using Ex Vivo Human Coronaries,
MedImg(34), No. 1, January 2015, pp. 156-166.
IEEE DOI 1502
Wiener filters BibRef

Vejdani-Jahromi, M., Nagle, M., Trahey, G.E., Wolf, P.D.,
Ultrasound Shear Wave Elasticity Imaging Quantifies Coronary Perfusion Pressure Effect on Cardiac Compliance,
MedImg(34), No. 2, February 2015, pp. 465-473.
IEEE DOI 1502
Biomedical measurement BibRef

Carvalho, D.D.B., Akkus, Z., van den Oord, S.C.H., Schinkel, A.F.L., van der Steen, A.F.W., Niessen, W.J., Bosch, J.G., Klein, S.,
Lumen Segmentation and Motion Estimation in B-Mode and Contrast-Enhanced Ultrasound Images of the Carotid Artery in Patients With Atherosclerotic Plaque,
MedImg(34), No. 4, April 2015, pp. 983-993.
IEEE DOI 1504
Atherosclerosis BibRef

Lin, S.L.[Shyan-Lung], Chen, C.K.[Ching-Kun], Lin, C.L.[Chun-Liang], Yang, W.C.[Wen-Chan], Chiang, C.T.[Cheng-Tang],
Individual identification based on chaotic electrocardiogram signals during muscular exercise,
IET-Bio(3), No. 4, 2014, pp. 257-266.
DOI Link 1504
Lyapunov methods BibRef

Wu, X., Housden, J., Ma, Y., Razavi, B., Rhode, K., Rueckert, D.,
Fast Catheter Segmentation From Echocardiographic Sequences Based on Segmentation From Corresponding X-Ray Fluoroscopy for Cardiac Catheterization Interventions,
MedImg(34), No. 4, April 2015, pp. 861-876.
IEEE DOI 1504
Catheters BibRef

Alessandrini, M., de Craene, M., Bernard, O., Giffard-Roisin, S., Allain, P., Waechter-Stehle, I., Weese, J., Saloux, E., Delingette, H., Sermesant, M., d'Hooge, J.,
A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-Access Database,
MedImg(34), No. 7, July 2015, pp. 1436-1451.
IEEE DOI 1507
Benchmark testing BibRef

Zhang, L.[Ling], Wahle, A., Chen, Z.[Zhi], Zhang, L.[Li], Downe, R.W., Kovarnik, T., Sonka, M.,
Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization,
MedImg(34), No. 12, December 2015, pp. 2550-2561.
IEEE DOI 1601
biomedical ultrasonics BibRef

Rafati, M., Arabfard, M., Zadeh, M.R.R.[M. Rafati Rahim], Maghsoudloo, M.,
Assessment of noise reduction in ultrasound images of common carotid and brachial arteries,
IET-CV(10), No. 1, 2016, pp. 1-8.
DOI Link 1601
biomedical ultrasonics BibRef

Bersvendsen, J., Orderud, F., Massey, R.J., Fossa, K., Gerard, O., Urheim, S., Samset, E.,
Automated Segmentation of the Right Ventricle in 3D Echocardiography: A Kalman Filter State Estimation Approach,
MedImg(35), No. 1, January 2016, pp. 42-51.
IEEE DOI 1601
Image edge detection BibRef

Porras, A.R., Alessandrini, M., Mirea, O., d'Hooge, J., Frangi, A.F., Piella, G.[Gemma],
Integration of Multi-Plane Tissue Doppler and B-Mode Echocardiographic Images for Left Ventricular Motion Estimation,
MedImg(35), No. 1, January 2016, pp. 89-97.
IEEE DOI 1601
Image segmentation BibRef

Tong, L., Ramalli, A., Tortoli, P., Fradella, G., Caciolli, S., Luo, J., d'Hooge, J.,
Wide-Angle Tissue Doppler Imaging at High Frame Rate Using Multi-Line Transmit Beamforming: An Experimental Validation In Vivo,
MedImg(35), No. 2, February 2016, pp. 521-528.
IEEE DOI 1602
Correlation coefficient BibRef

Heyde, B., Alessandrini, M., Hermans, J., Barbosa, D., Claus, P., d'Hooge, J.,
Anatomical Image Registration Using Volume Conservation to Assess Cardiac Deformation From 3D Ultrasound Recordings,
MedImg(35), No. 2, February 2016, pp. 501-511.
IEEE DOI 1602
Accuracy BibRef

Bernard, O., Bosch, J.G., Heyde, B., Alessandrini, M., Barbosa, D., Camarasu-Pop, S., Cervenansky, F., Valette, S., Mirea, O., Bernier, M., Jodoin, P.M., Domingos, J.S., Stebbing, R.V., Keraudren, K., Oktay, O., Caballero, J., Shi, W., Rueckert, D., Milletari, F., Ahmadi, S.A., Smistad, E., Lindseth, F., van Stralen, M., Wang, C., Smedby, Ö., Donal, E., Monaghan, M., Papachristidis, A., Geleijnse, M.L., Galli, E., d'Hooge, J.,
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography,
MedImg(35), No. 4, April 2016, pp. 967-977.
IEEE DOI 1604
biological tissues BibRef

Poree, J., Posada, D., Hodzic, A., Tournoux, F., Cloutier, G., Garcia, D.,
High-Frame-Rate Echocardiography Using Coherent Compounding With Doppler-Based Motion-Compensation,
MedImg(35), No. 7, July 2016, pp. 1647-1657.
IEEE DOI 1608
Doppler measurement BibRef

Porée, J., Baudet, M., Tournoux, F., Cloutier, G., Garcia, D.,
A Dual Tissue-Doppler Optical-Flow Method for Speckle Tracking Echocardiography at High Frame Rate,
MedImg(37), No. 9, September 2018, pp. 2022-2032.
IEEE DOI 1809
Echocardiography, Doppler effect, Optical flow, Myocardium, Speckle, Motion compensation, High-frame-rate echocardiography, optical flow BibRef

Abbas, S.N.[Sherif N.], Abo-Zahhad, M., Ahmed, S.M.[Sabah M.], Farrag, M.[Mohammed],
Heart-ID: human identity recognition using heart sounds based on modifying mel-frequency cepstral features,
IET-Bio(5), No. 4, 2016, pp. 284-296.
DOI Link 1612
biometrics (access control) BibRef

Abo-Zahhad, M., Farrag, M.[Mohammed], Abbas, S.N.[Sherif N.], Ahmed, S.M.[Sabah M.],
A comparative approach between cepstral features for human authentication using heart sounds,
SIViP(10), No. 5, May 2016, pp. 843-851.
Springer DOI 1608
BibRef

Abo-Zahhad, M., Ahmed, S.M.[Sabah M.], Abbas, S.N.[Sherif N.],
A new multi-level approach to EEG based human authentication using eye blinking,
PRL(82, Part 2), No. 1, 2016, pp. 216-225.
Elsevier DOI 1609
Multi-level biometric authentication BibRef

Allan, G., Nouranian, S., Tsang, T., Seitel, A., Mirian, M., Jue, J., Hawley, D., Fleming, S., Gin, K., Swift, J., Rohling, R., Abolmaesumi, P.,
Simultaneous Analysis of 2D Echo Views for Left Atrial Segmentation and Disease Detection,
MedImg(36), No. 1, January 2017, pp. 40-50.
IEEE DOI 1701
Computed tomography BibRef

Bar-Zion, A., Tremblay-Darveau, C., Solomon, O., Adam, D., Eldar, Y.C.,
Fast Vascular Ultrasound Imaging With Enhanced Spatial Resolution and Background Rejection,
MedImg(36), No. 1, January 2017, pp. 169-180.
IEEE DOI 1701
Fluctuations BibRef

Chen, F., Liu, J., Liao, H.,
3D Catheter Shape Determination for Endovascular Navigation Using a Two-Step Particle Filter and Ultrasound Scanning,
MedImg(36), No. 3, March 2017, pp. 685-695.
IEEE DOI 1703
Catheters BibRef

Abdi, A.H., Luong, C., Tsang, T., Allan, G., Nouranian, S., Jue, J., Hawley, D., Fleming, S., Gin, K., Swift, J., Rohling, R., Abolmaesumi, P.,
Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View,
MedImg(36), No. 6, June 2017, pp. 1221-1230.
IEEE DOI 1706
BibRef
And: Correction: MedImg(36), No. 9, September 2017, pp. 1992-1992.
IEEE DOI 1709
Computer architecture, Convolution, Echocardiography, Feature extraction, Kernel, Neural networks, Valves, Convolutional neural network, apical four-chamber, deep learning, echocardiography, quality assessment, swarm, optimization BibRef

Basij, M.[Maryam], Yazdchi, M.[Mohammadreza], Taki, A.[Arash], Moallem, P.[Payman],
An automatic approach for artifacts detection and shadow enhancement in intravascular ultrasound images,
SIViP(11), No. 6, September 2017, pp. 1009-1016.
Springer DOI 1708
BibRef

Yu, M., Li, Y., Ma, T., Shung, K.K., Zhou, Q.,
Intravascular Ultrasound Imaging With Virtual Source Synthetic Aperture Focusing and Coherence Factor Weighting,
MedImg(36), No. 10, October 2017, pp. 2171-2178.
IEEE DOI 1710
biomedical ultrasonics, blood vessels, medical ultrasonic focusing, ultrasonic imaging, IVUS image quality, BibRef

Ouzir, N., Basarab, A., Liebgott, H., Harbaoui, B., Tourneret, J.Y.,
Motion Estimation in Echocardiography Using Sparse Representation and Dictionary Learning,
IP(27), No. 1, January 2018, pp. 64-77.
IEEE DOI 1712
biomedical ultrasonics, echocardiography, image motion analysis, image sequences, learning (artificial intelligence), sparse representations BibRef

Gao, Z., Li, Y., Sun, Y., Yang, J., Xiong, H., Zhang, H., Liu, X., Wu, W., Liang, D., Li, S.,
Motion Tracking of the Carotid Artery Wall From Ultrasound Image Sequences: a Nonlinear State-Space Approach,
MedImg(37), No. 1, January 2018, pp. 273-283.
IEEE DOI 1801
Kalman filters, biological tissues, biomedical ultrasonics, blood vessels, image filtering, image sequences, unscented kalman filter BibRef

Denis de Senneville, B., Novell, A., Arthuis, C., Mendes, V., Dujardin, P.A., Patat, F., Bouakaz, A., Escoffre, J.M., Perrotin, F.,
Development of a Fluid Dynamic Model for Quantitative Contrast-Enhanced Ultrasound Imaging,
MedImg(37), No. 2, February 2018, pp. 372-383.
IEEE DOI 1802
Blood, Estimation, Imaging, Kinetic theory, Mathematical model, Rats, Ultrasonic imaging, Ultrasound, quantification and estimation BibRef

Li, Y., Ho, C.P., Toulemonde, M., Chahal, N., Senior, R., Tang, M.X.,
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model,
MedImg(37), No. 5, May 2018, pp. 1081-1091.
IEEE DOI 1805
Echocardiography, Image segmentation, Myocardium, Radio frequency, Shape, Random forest, statistical shape model BibRef

Chakir, F.[Fatima], Jilbab, A.[Abdelilah], Nacir, C.[Chafik], Hammouch, A.[Ahmed],
Phonocardiogram signals processing approach for PASCAL Classifying Heart Sounds Challenge,
SIViP(12), No. 6, September 2018, pp. 1149-1155.
Springer DOI 1808
BibRef

Baranger, J., Arnal, B., Perren, F., Baud, O., Tanter, M., Demené, C.,
Adaptive Spatiotemporal SVD Clutter Filtering for Ultrafast Doppler Imaging Using Similarity of Spatial Singular Vectors,
MedImg(37), No. 7, July 2018, pp. 1574-1586.
IEEE DOI 1808
biomedical ultrasonics, blood vessels, Doppler measurement, haemodynamics, image denoising, image filtering, singular value decomposition BibRef

Belaid, A.[Ahror], Boukerroui, D.[Djamal],
Local maximum likelihood segmentation of echocardiographic images with Rayleigh distribution,
SIViP(12), No. 6, September 2018, pp. 1087-1096.
WWW Link. 1808
BibRef

Stanziola, A., Leow, C.H., Bazigou, E., Weinberg, P.D., Tang, M.,
ASAP: Super-Contrast Vasculature Imaging Using Coherence Analysis and High Frame-Rate Contrast Enhanced Ultrasound,
MedImg(37), No. 8, August 2018, pp. 1847-1856.
IEEE DOI 1808
Ultrasound, vascular imaging, contrast, SNR, coherence, microbubbles, in vivo BibRef

Lee, J.H.[Ju Hwan], Hwang, Y.N.[Yoo Na], Kim, G.Y.[Ga Young], Min, K.S.[Kim Sung],
Segmentation of the lumen and media-adventitial borders in intravascular ultrasound images using a geometric deformable model,
IET-IPR(12), No. 10, October 2018, pp. 1881-1891.
DOI Link 1809
BibRef

Pham, D., Meignen, S., Dia, N., Fontecave-Jallon, J., Rivet, B.,
Phonocardiogram Signal Denoising Based on Nonnegative Matrix Factorization and Adaptive Contour Representation Computation,
SPLetters(25), No. 10, October 2018, pp. 1475-1479.
IEEE DOI 1810
electrocardiography, Fourier transforms, low-pass filters, matrix decomposition, medical signal processing, time-frequency analysis BibRef

Besson, A., Perdios, D., Wiaux, Y., Thiran, J.,
Joint Sparsity With Partially Known Support and Application to Ultrasound Imaging,
SPLetters(26), No. 1, January 2019, pp. 84-88.
IEEE DOI 1901
biomedical ultrasonics, blood vessels, greedy algorithms, iterative methods, medical image processing, MUSIC BibRef

Jeon, S., Park, J., Managuli, R., Kim, C.,
A Novel 2-D Synthetic Aperture Focusing Technique for Acoustic-Resolution Photoacoustic Microscopy,
MedImg(38), No. 1, January 2019, pp. 250-260.
IEEE DOI 1901
Image resolution, Imaging, Apertures, Signal resolution, Transducers, Delay effects, vessels BibRef

Ouzir, N., Basarab, A., Lairez, O., Tourneret, J.,
Robust Optical Flow Estimation in Cardiac Ultrasound Images Using a Sparse Representation,
MedImg(38), No. 3, March 2019, pp. 741-752.
IEEE DOI 1903
Motion estimation, Robustness, Ultrasonic imaging, Imaging, Minimization, Dictionaries, dictionary learning BibRef

Hong, J., Su, M., Yu, Y., Zhang, Z., Liu, R., Huang, Y., Mu, P., Zheng, H., Qiu, W.,
A Dual-Mode Imaging Catheter for Intravascular Ultrasound Application,
MedImg(38), No. 3, March 2019, pp. 657-663.
IEEE DOI 1903
Transducers, Catheters, Arteries, Ultrasonic imaging, Wires, Phantoms, Intravascular ultrasound, dual-mode imaging catheter, multiple function catheter BibRef

Dezaki, F.T.[F. Taheri], Liao, Z., Luong, C., Girgis, H., Dhungel, N., Abdi, A.H., Behnami, D., Gin, K., Rohling, R., Abolmaesumi, P., Tsang, T.,
Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss,
MedImg(38), No. 8, August 2019, pp. 1821-1832.
IEEE DOI 1908
Recurrent neural networks, Echocardiography, Magnetic resonance imaging, Electrocardiography, Phase detection, cardiac cycle phase detection BibRef

Leclerc, S., Smistad, E., Pedrosa, J., Østvik, A., Cervenansky, F., Espinosa, F., Espeland, T., Berg, E.A.R., Jodoin, P., Grenier, T., Lartizien, C., d'Hooge, J., Lovstakken, L., Bernard, O.,
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography,
MedImg(38), No. 9, September 2019, pp. 2198-2210.
IEEE DOI 1909
Image segmentation, Deep learning, Ultrasonic imaging, Myocardium, left atrium BibRef

Kvåle, K.F., Bersvendsen, J., Remme, E.W., Salles, S., Aalen, J.M., Brekke, P.H., Edvardsen, T., Samset, E.,
Detection of Regional Mechanical Activation of the Left Ventricular Myocardium Using High Frame Rate Ultrasound Imaging,
MedImg(38), No. 11, November 2019, pp. 2665-2675.
IEEE DOI 1911
Crystals, Ultrasonic imaging, Imaging, Animals, Heart, Strain, Electromyography, Animal study, clutter filter wave imaging, pacing BibRef

Torbati, N., Ayatollahi, A., Sadeghipour, P.,
Image-Based Gating of Intravascular Ultrasound Sequences Using the Phase Information of Dual-Tree Complex Wavelet Transform Coefficients,
MedImg(38), No. 12, December 2019, pp. 2785-2795.
IEEE DOI 1912
Discrete wavelet transforms, Image edge detection, Logic gates, Continuous wavelet transforms, IVUS BibRef

Knauer, N., Deán-Ben, X.L., Razansky, D.,
Spatial Compounding of Volumetric Data Enables Freehand Optoacoustic Angiography of Large-Scale Vascular Networks,
MedImg(39), No. 4, April 2020, pp. 1160-1169.
IEEE DOI 2004
Tomography, Probes, Estimation, Correlation, Angiographic imaging, vessels BibRef

Gong, Y.X.[Yu-Xin], Zhang, Y.Y.[Ying-Ying], Zhu, H.G.[Hao-Gang], Lv, J.[Jing], Cheng, Q.[Qian], Zhang, H.J.[Hong-Jia], He, Y.H.[Yi-Hua], Wang, S.L.[Shu-Liang],
Fetal Congenital Heart Disease Echocardiogram Screening Based on DGACNN: Adversarial One-Class Classification Combined with Video Transfer Learning,
MedImg(39), No. 4, April 2020, pp. 1206-1222.
IEEE DOI 2004
Biomedical imaging, Diseases, Fetal heart, Training, Ultrasonic imaging, Fetal congenital heart disease, four-chamber heart BibRef

Graham, M., Assis, F., Allman, D., Wiacek, A., Gonzalez, E., Gubbi, M., Dong, J., Hou, H., Beck, S., Chrispin, J., Bell, M.A.L.,
In Vivo Demonstration of Photoacoustic Image Guidance and Robotic Visual Servoing for Cardiac Catheter-Based Interventions,
MedImg(39), No. 4, April 2020, pp. 1015-1029.
IEEE DOI 2004
Catheters, Ultrasonic imaging, Visualization, Robots, Probes, Photoacoustic imaging, Biomedical optical imaging, autonomous systems BibRef

Ghori, I., Roy, D., John, R., Chalavadi, K.M.,
Echocardiogram Analysis Using Motion Profile Modeling,
MedImg(39), No. 5, May 2020, pp. 1767-1774.
IEEE DOI 2005
Videos, Heart, Echocardiography, Histograms, Motion segmentation, Valves, Diseases, Echocardiograph video classification, factor analysis BibRef

Liao, Z., Girgis, H., Abdi, A., Vaseli, H., Hetherington, J., Rohling, R., Gin, K., Tsang, T., Abolmaesumi, P.,
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-Observer Variability in 2D Echocardiography Quality Assessment,
MedImg(39), No. 6, June 2020, pp. 1868-1883.
IEEE DOI 2006
Label uncertainty, modelling, 2D echocardiography, quality assessment, cross-entropy, loss regularization, deep neural networks BibRef

Özbek, A., Deán-Ben, X.L., Razansky, D.,
Compressed Optoacoustic Sensing of Volumetric Cardiac Motion,
MedImg(39), No. 10, October 2020, pp. 3250-3255.
IEEE DOI 2010
Image reconstruction, Training, Principal component analysis, Data acquisition, Tomography, optoacoustic imaging BibRef

Faraji, M.[Mahtab], Behnam, H.[Hamid], Cherloo, M.N.[Mohammad Norizadeh], Shojaeifard, M.[Maryam],
Novel approach for automatic mid-diastole frame detection in 2D echocardiography sequences for performing planimetry of the mitral valve orifice,
IET-IPR(14), No. 12, October 2020, pp. 2890-2900.
DOI Link 2010
BibRef

Painchaud, N., Skandarani, Y., Judge, T., Bernard, O., Lalande, A., Jodoin, P.M.,
Cardiac Segmentation With Strong Anatomical Guarantees,
MedImg(39), No. 11, November 2020, pp. 3703-3713.
IEEE DOI 2011
Shape, Image segmentation, Magnetic resonance imaging, Ultrasonic imaging, Neural networks, ultrasound BibRef

Papadacci, C., Finel, V., Villemain, O., Tanter, M., Pernot, M.,
4D Ultrafast Ultrasound Imaging of Naturally Occurring Shear Waves in the Human Heart,
MedImg(39), No. 12, December 2020, pp. 4436-4444.
IEEE DOI 2012
Imaging, Myocardium, Valves, Ultrasonic imaging, Heart, natural shear waves BibRef

Østvik, A.[Andreas], Salte, I.M.[Ivar Mjåland], Smistad, E.[Erik], Nguyen, T.M.[Thuy Mi], Melichova, D.[Daniela], Brunvand, H.[Harald], Haugaa, K.[Kristina], Edvardsen, T.[Thor], Grenne, B.[Bjørnar], Lovstakken, L.[Lasse],
Myocardial Function Imaging in Echocardiography Using Deep Learning,
MedImg(40), No. 5, May 2021, pp. 1340-1351.
IEEE DOI 2105
Strain, Estimation, Imaging, Echocardiography, Motion estimation, Deep learning, Speckle, Deep learning, echocardiography, strain BibRef

Dezaki, F.T.[Fatemeh Taheri], Luong, C.[Christina], Ginsberg, T.[Tom], Rohling, R.[Robert], Gin, K.[Ken], Abolmaesumi, P.[Purang], Tsang, T.[Teresa],
Echo-SyncNet: Self-Supervised Cardiac View Synchronization in Echocardiography,
MedImg(40), No. 8, August 2021, pp. 2092-2104.
IEEE DOI 2108
Synchronization, Training, Electrocardiography, Task analysis, Annotations, Echocardiography, synchronization BibRef

Orlowska, M.[Marta], Ramalli, A.[Alessandro], d'Hooge, J.[Jan],
Improved High Frame Rate Speckle Tracking for Echocardiography,
FIMH21(93-100).
Springer DOI 2108
BibRef

Gilbert, A.[Andrew], Marciniak, M.[Maciej], Rodero, C.[Cristobal], Lamata, P.[Pablo], Samset, E.[Eigil], Mcleod, K.[Kristin],
Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation,
MedImg(40), No. 10, October 2021, pp. 2783-2794.
IEEE DOI 2110
Pipelines, Image segmentation, Task analysis, Ultrasonic imaging, Shape, Annotations, Labeling, Data generation, echocardiography, synthesis BibRef

Cormier, P.[Philippe], Porée, J.[Jonathan], Bourquin, C.[Chloé], Provost, J.[Jean],
Dynamic Myocardial Ultrasound Localization Angiography,
MedImg(40), No. 12, December 2021, pp. 3379-3388.
IEEE DOI 2112
Myocardium, Ultrasonic imaging, Imaging, Heart, Location awareness, Angiography, Doppler effect, Ultrasound imaging, cardiology, myocardial angiography BibRef

Kulkarni, P.[Pallavi], Madathil, D.[Deepa],
Echocardiography image segmentation using semi-automatic numerical optimisation method based on wavelet decomposition thresholding,
IJIST(31), No. 4, 2021, pp. 2295-2304.
DOI Link 2112
echocardiography, image segmentation, optimisation, thresholding, wavelet transform BibRef

Painchaud, N.[Nathan], Duchateau, N.[Nicolas], Bernard, O.[Olivier], Jodoin, P.M.[Pierre-Marc],
Echocardiography Segmentation With Enforced Temporal Consistency,
MedImg(41), No. 10, October 2022, pp. 2867-2878.
IEEE DOI 2210
Image segmentation, Shape, Echocardiography, Annotations, Encoding, Magnetic resonance imaging, Cardiac function, Deep learning, CNN, myocardium BibRef

Chamundeshwari, Biradar, N.[Nagashetteppa], Udaykumar,
Hybrid Pattern Extraction with Deep Learning-Based Heart Disease Diagnosis Using Echocardiogram Images,
IJIG(23), No. 2 2023, pp. 2350024.
DOI Link 2303
BibRef

Dai, W.[Weihang], Li, X.M.[Xiao-Meng], Ding, X.P.[Xin-Peng], Cheng, K.T.[Kwang-Ting],
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos,
MedImg(42), No. 5, May 2023, pp. 1446-1461.
IEEE DOI 2305
Videos, Predictive models, Image segmentation, Context modeling, Labeling, Task analysis, Motion segmentation, Echocardiogram video, video regression BibRef

Fakhari, N.[Nikan], Aguet, J.[Julien], Nguyen, M.[Minh], Mertens, L.[Luc], Barron, D.[David], Haller, C.[Christoph], Sled, J.G.[John G.], Villemain, O.[Olivier], Baranger, J.[Jeìrôme],
Longitudinal Assessment of Cerebral Blood Volume Variation in Human Neonates Using Ultrafast Power Doppler and Diverging Waves,
MedImg(42), No. 8, August 2023, pp. 2223-2234.
IEEE DOI 2308
Ultrasonic imaging, Pediatrics, Doppler effect, Surgery, Blood, Imaging, Probes, Cardiopulmonary bypass, cerebral blood volume, ultrafast power Doppler BibRef

Vafaeezadeh, M.[Majid], Behnam, H.[Hamid], Hosseinsabet, A.[Ali], Gifani, P.[Parisa],
CarpNet: Transformer for mitral valve disease classification in echocardiographic videos,
IJIST(33), No. 5, 2023, pp. 1505-1514.
DOI Link 2310
Carpentier's classification, CNN, echocardiography, mitral valve, transformers BibRef

Ahmadi, N., Tsang, M.Y., Gu, A.N., Tsang, T.S.M., Abolmaesumi, P.,
Transformer-Based Spatio-Temporal Analysis for Classification of Aortic Stenosis Severity From Echocardiography Cine Series,
MedImg(43), No. 1, January 2024, pp. 366-376.
IEEE DOI Code:
WWW Link. 2401
BibRef

Sewani, A.[Alykhan], Roa, C.F.[Carlos-Felipe], Zhou, J.J.[James J.], Alawneh, Y.[Yara], Quadri, A.[Amaar], Gilliland-Rocque, R.[Rene], Chérin, E.[Emmanuel], Dueck, A.[Andrew], Demore, C.[Christine], Wright, G.[Graham], Tavallaei, M.A.[M. Ali],
The CathEye: A Forward-Looking Ultrasound Catheter for Image-Guided Cardiovascular Procedures,
MedImg(43), No. 1, January 2024, pp. 449-458.
IEEE DOI 2401
BibRef

Ta, K.[Kevinminh], Ahn, S.S.[Shawn S.], Thorn, S.L.[Stephanie L.], Stendahl, J.C.[John C.], Zhang, X.R.[Xiao-Ran], Langdon, J.[Jonathan], Staib, L.H.[Lawrence H.], Sinusas, A.J.[Albert J.], Duncan, J.S.[James S.],
Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography,
MedImg(43), No. 5, May 2024, pp. 2010-2020.
IEEE DOI 2405
Motion segmentation, Task analysis, Echocardiography, Image segmentation, Myocardium, Strain, Echocardiography, segmentation BibRef

Zhang, Z.X.[Zhen-Xuan], Yu, C.J.[Cheng-Jin], Zhang, H.[Heye], Gao, Z.[Zhifan],
Embedding Tasks Into the Latent Space: Cross-Space Consistency for Multi-Dimensional Analysis in Echocardiography,
MedImg(43), No. 6, June 2024, pp. 2215-2228.
IEEE DOI 2406
Task analysis, Feature extraction, Echocardiography, Multitasking, Image segmentation, Cardiac disease, Sensitivity, latent space BibRef

Ragnarsdottir, H.[Hanna], Ozkan, E.[Ece], Michel, H.[Holger], Chin-Cheong, K.[Kieran], Manduchi, L.[Laura], Wellmann, S.[Sven], Vogt, J.E.[Julia E.],
Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms,
IJCV(132), No. 7, July 2024, pp. Pages2567-2584.
Springer DOI 2406
BibRef

Lin, J.Y.[Jing-Yin], Xie, W.[Wende], Kang, L.[Li], Wu, H.[Huisi],
Dynamic-Guided Spatiotemporal Attention for Echocardiography Video Segmentation,
MedImg(43), No. 11, November 2024, pp. 3843-3855.
IEEE DOI 2411
Semantics, Echocardiography, Spatiotemporal phenomena, Motion segmentation, Dynamics, Feature extraction, Task analysis, video segmentation BibRef

Yang, J.[Jiewen], Ding, X.P.[Xin-Peng], Zheng, Z.Y.[Zi-Yang], Xu, X.W.[Xiao-Wei], Li, X.M.[Xiao-Meng],
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation,
ICCV23(11844-11853)
IEEE DOI Code:
WWW Link. 2401
BibRef

Lin, J.Z.[Jian-Zhe], Sahebzamani, G.[Ghazal], Luong, C.[Christina], Dezaki, F.T.[Fatemeh Taheri], Jafari, M.[Mohammad], Abolmaesumi, P.[Purang], Tsang, T.[Teresa],
Reciprocal Landmark Detection and Tracking with Extremely Few Annotations,
CVPR21(15165-15174)
IEEE DOI 2111
Training, Location awareness, Echocardiography, Annotations, Computational modeling, Machine learning BibRef

Yang, Y.Y.[Ying-Yu], Sermesant, M.[Maxime],
Shape Constraints in Deep Learning for Robust 2D Echocardiography Analysis,
FIMH21(22-34).
Springer DOI 2108
BibRef

Chen, S.H.[Shih-Hsin], Tai, I.H.[I-Hsin], Chen, Y.H.[Yi-Hui], Weng, K.P.[Ken-Pen], Hsieh, K.S.[Kai-Sheng],
Data Augmentation for a Deep Learning Framework for Ventricular Septal Defect Ultrasound Image Classification,
HCAU20(310-322).
Springer DOI 2103
BibRef

Yang, H., Shan, C., Kolen, A.F., de With, P.H.N.,
Efficient Catheter Segmentation in 3D Cardiac Ultrasound using Slice-Based FCN With Deep Supervision and F-Score Loss,
ICIP19(260-264)
IEEE DOI 1910
3D ultrasound, catheter segmentation, FCN, F-score loss, deep supervision BibRef

Lee, L.C.[Lik Chuan], Genet, M.[Martin],
Validation of Equilibrated Warping: Image Registration with Mechanical Regularization: On 3D Ultrasound Images,
FIMH19(334-341).
Springer DOI 1906
BibRef

Ouzir, N., Tourneret, J.Y., Basarab, A.,
Cardiac motion estimation in ultrasound images using spatial and sparse regularizations,
ICIP17(780-784)
IEEE DOI 1803
Dictionaries, Encoding, Estimation, Motion estimation, Optimization, Strain, Ultrasonic imaging, Ultrasound imaging, cardiac imaging, sparse representations BibRef

Zhu, P.[Peifei], Li, Z.[Zisheng],
Guideline-Based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound,
MCV16(137-147).
Springer DOI 1711
BibRef

Nogueira, M.[Mariana], Piella, G.[Gemma], Sanchez-Martinez, S.[Sergio], Langet, H.[Hélène], Saloux, E.[Eric], Bijnens, B.[Bart], de Craene, M.[Mathieu],
Characterizing Patterns of Response During Mild Stress-Testing in Continuous Echocardiography Recordings Using a Multiview Dimensionality Reduction Technique,
FIMH17(502-513).
Springer DOI 1706
BibRef

Bernardino, G.[Gabriel], Butakoff, C.[Constantine], Nuñez-Garcia, M.[Marta], Sarvari, S.I.[Sebastian Imre], Rodriguez-Lopez, M.[Merida], Crispi, F.[Fatima], González Ballester, M.Á.[Miguel Ángel], de Craene, M.[Mathieu], Bijnens, B.[Bart],
Estimating 3D Ventricular Shape From 2D Echocardiography: Feasibility and Effect of Noise,
FIMH17(450-460).
Springer DOI 1706
BibRef

Belous, G., Busch, A., Rowlands, D., Gao, Y.,
Segmentation of the Left Ventricle in Echocardiography Using Contextual Shape Model,
DICTA16(1-7)
IEEE DOI 1701
Active shape model BibRef

Ji, L., Gu, Y., Sun, K., Yang, J., Qiao, Y.,
Congenital heart disease (CHD) discrimination in fetal echocardiogram based on 3D feature fusion,
ICIP16(3419-3423)
IEEE DOI 1610
Feature extraction BibRef

Ding, J.[Jianrui], Xian, M.[Min], Cheng, H.D., Zhang, Y.T.[Ying-Tao], Xu, F.[Fei],
An algorithm based on LBPV and MIL for left atrial thrombi detection using transesophageal echocardiography,
ICIP15(4224-4227)
IEEE DOI 1512
Multiple-instance learning (MIL) BibRef

Yatchenko, A.[Artem], Krylov, A.[Andrey],
Cross-Frame Ultrasonic Color Doppler Flow Heart Image Unwrapping,
FIMH15(265-272).
Springer DOI 1507
BibRef

Araújo, T.[Teresa], Aresta, G.[Guilherme], Rouco, J.[José], Ferreira, C.[Carmen], Azevedo, E.[Elsa], Campilho, A.[Aurélio],
Optical Flow Based Approach for Automatic Cardiac Cycle Estimation in Ultrasound Images of the Carotid,
ICIAR15(360-367).
Springer DOI 1507
BibRef

Tavard, F., Simon, A., Hernandez, A.I., Betancur, J., Donal, E., Garreau, M.,
Dynamic registration of cardiac US and CT data using Fourier descriptors and Dynamic Time Warping,
IPTA12(198-203)
IEEE DOI 1503
Fourier transforms BibRef

Rouco, J.[José], Novo, J.[Jorge], Campilho, A.[Aurélio],
On the Automatic Normalization of Plaque Regions in Ultrasound Images of the Carotid,
ICIAR14(II: 177-184).
Springer DOI 1410
BibRef

Domingos, J.S.[João S.], Stebbing, R.V.[Richard V.], Leeson, P.[Paul], Noble, J.A.[J. Alison],
Structured Random Forests for Myocardium Delineation in 3D Echocardiography,
MLMI14(215-222).
Springer DOI 1410
BibRef

Domingos, J.S.[João S.], Lima, E.[Eduardo], Leeson, P.[Paul], Noble, J.A.[J. Alison],
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Dikici, E.[Engin], Orderud, F.[Fredrik], Kiss, G.[Gabriel], Thorstensen, A.[Anders], Torp, H.[Hans],
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Dikici, E.[Engin], Orderud, F.[Fredrik],
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Chykeyuk, K.[Kiryl], Yaqub, M.[Mohammad], Noble, J.A.[J. Alison],
Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography,
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Earlier:
Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests,
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Piella, G., de Craene, M., Yao, C., Penney, G.P., Frangi, A.F.,
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Butakoff, C., Sukno, F., Doltra, A., Silva, E., Sitges, M., Frangi, A.F.,
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Antunes, S.G.[Sofia G.], Silva, J.S.[José Silvestre], Santos, J.B.[Jaime B.],
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Yang, L.[Lin], Georgescu, B.[Bogdan], Zheng, Y.F.[Ye-Feng], Meer, P.[Peter], Comaniciu, D.[Dorin],
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Classification Approach for Measurement of Atherosclerosis Using B-Mode Ultrasound Carotid Images,
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Rocha, R.[Rui], Campilho, A.[Aurélio], Silva, J.[Jorge],
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Earlier:
Segmentation of Ultrasonic Images of the Carotid,
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Li, R.[Rui], Eggermont, J.[Jeroen], Emmerich, M.T.M.[Michael T. M.], Bovenkamp, E.G.P.[Ernst G. P.], Bäck, T.[Thomas], Dijkstra, J.[Jouke], Reiber, J.H.C.[Johan H. C.],
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Szilágyi, S.M.[Sándor M.], Szilágyi, L.[László], Benyó, Z.[Zoltán],
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And:
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CIARP07(594-603).
Springer DOI 0711
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And:
Volumetric Analysis of the Heart Using Echocardiography,
FIMH07(81-90).
Springer DOI 0706
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And:
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PSIVT07(548-561).
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See also Thorough Analysis of the Suppressed Fuzzy C-Means Algorithm, A. BibRef

Leung, K.Y.E.[K. Y. Esther], Bosch, J.G.[Johan G.],
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Bernard, O.[Olivier], Touil, B.[Basma], Gelas, A.[Arnaud], Prost, R.[Remy], Friboulet, D.[Denis],
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Springer DOI 0706
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And:
A RBF-Based Multiphase Level Set Method for Segmentation in Echocardiography using the Statistics of the Radiofrequency Signal,
ICIP07(III: 157-160).
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Gilliam, A.D.[Andrew D.], Acton, S.T.[Scott T.],
Echocardiographic Simulation for Validation of Automated Segmentation Methods,
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Zhang, Z.J.[Zhi-Jun], Sahn, D.J.[David J.], Song, X.[Xubo],
Diffeomorphic Cardiac Motion Estimation with Anisotropic Regularization along Myofiber Orientation,
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Earlier: A1, A3, A2:
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Springer DOI 1105
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Song, X.[Xubo], Myronenko, A.[Andriy], Sahn, D.J.[David J.],
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CVPR07(1-7).
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Chung, Y.J.[Yong-Joo],
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Earlier:
A Classification Approach for the Heart Sound Signals Using Hidden Markov Models,
SSPR06(375-383).
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Roy, A.[Aditi], Sural, S.[Shamik], Mukherjee, J., Majumdar, A.K.,
Modeling of Echocardiogram Video Based on Views and States,
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Zhou, S.K.[S. Kevin], Park, J.H., Georgescu, B., Comaniciu, D., Simopoulos, C., Otsuki, J.,
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Aksel, A., Janiczek, R.L., Hossack, J.A., French, B.A., Acton, S.T.,
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Madbouly, A.S., Younis, A.A.,
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Guo, Q.A.[Qi-Ang], Yang, X.[Xin], Zhu, M.[Ming], Sun, K.[Kun],
Anisotropic 3D Reconstruction and Restoration for Rotation-Scanning 4D Echocardiographic Images Based on MAP-MRF,
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Yan, P.[Ping], Sinusas, A.J.[Albert J.], Duncan, J.S.[James S.],
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Yu, W.C.[Wei-Chun], Yan, P.[Ping], Sinusas, A.J., Thiele, K., Duncan, J.S.,
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Paragios, N.[Nikos], Jolly, M.P.[Marie-Pierre], Taron, M.[Maxime], Ramaraj, R.[Rama],
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Nascimento, J.C., Marques, J.S., Sanches, J.M.,
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Ohyama, W., Wakabayashi, T., Kimura, F., Tsuruoka, S., Sekioka, K.,
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Al-Fahoum, A., Reza, A.,
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Tseng, Y.H., Hwang, J.N.,
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CIAP95(258-264).
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And: A1, A3, A4 only: CVRMed95(XX-YY) BibRef

Koren, I., Laine, A.F., Fan, J.[Jian], Taylor, F.J.,
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Desai, R., Buckey, J.C., Pearce, J.A.,
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Dipanda, A., Neveu, M., Plantamp, D., Dusserre, L.,
Segmentation of echocardiographic images,
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Tsai, D.Y.[Du-Yih], Watanabe, S., Tomita, M.,
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Laine, A., Zong, X.L.[Xu-Li],
Border identification of echocardiograms via multiscale edge detection and shape modeling,
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Herlin, I.L., Bereziat, D., Giraudon, G., Nguyen, C., Graffigne, C.,
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Mojsilovic, A., Popovic, M., Popovic, A., Neskovic, A., Obradovic, V.,
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ICIP95(II: 504-507).
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ultrasound. BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Blood Vessels, Arteries, Veins, Vascular .