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1301
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Carruth, E.D.,
Bridge, J.H.B.,
Sachse, F.B.,
Quantitative Analysis of Cardiac Tissue Including Fibroblasts Using
Three-Dimensional Confocal Microscopy and Image Reconstruction:
Towards a Basis for Electrophysiological Modeling,
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1305
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Marin, T.,
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Numerical Surrogates for Human Observers in Myocardial Motion
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1402
cardiology
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Xu, J.,
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Wang, L.,
Examining the Impact of Prior Models in Transmural
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1601
Adaptation models
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SPIE(Newsroom), December 30, 2015
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Advanced algorithms that leverage computer vision and signal
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1004
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1610
Clutter
Respiratory movement.
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.,
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Cook, S.A.,
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Glocker, B.,
Rueckert, D.,
Stratified Decision Forests for Accurate Anatomical Landmark
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MedImg(36), No. 1, January 2017, pp. 332-342.
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1701
Biomedical imaging
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Al-Naji, A.[Ali],
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Contactless Cardiac Activity Detection Based on Head Motion
Magnification,
IJIG(17), No. 01, 2017, pp. 1750001.
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Huang, Z.H.[Zheng-Hua],
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Sang, N.[Nong],
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SIViP(11), No. 8, November 2017, pp. 1445-1452.
Springer DOI
1710
BibRef
Huang, Z.H.[Zheng-Hua],
Li, Q.[Qian],
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Hong, H.[Hanyu],
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angiogram image denoising over learned dictionary,
IET-IPR(12), No. 2, February 2018, pp. 254-261.
DOI Link
1801
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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
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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
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JVCIR(64), 2019, pp. 102607.
Elsevier DOI
1911
Image recognition, Image quality assessment,
Iterative reconstruction algorithm, Image match
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Pearce-Lance, J.[Jacob],
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A Numerical Method for the Optimal Adjustment of Parameters in Ionic
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FIMH19(46-54).
Springer DOI
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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
BibRef
Le Gall, A.[Arthur],
Vallée, F.[Fabrice],
Chapelle, D.[Dominique],
Chabiniok, R.[Radomír],
Minimally-Invasive Estimation of Patient-Specific End-Systolic
Elastance Using a Biomechanical Heart Model,
FIMH19(266-275).
Springer DOI
1906
BibRef
Duchateau, N.[Nicolas],
Rumindo, K.[Kenny],
Clarysse, P.[Patrick],
Domain Adaptation via Dimensionality Reduction for the Comparison of
Cardiac Simulation Models,
FIMH19(276-284).
Springer DOI
1906
BibRef
Banus, J.[Jaume],
Lorenzi, M.[Marco],
Camara, O.[Oscar],
Sermesant, M.[Maxime],
Large Scale Cardiovascular Model Personalisation for Mechanistic
Analysis of Heart and Brain Interactions,
FIMH19(285-293).
Springer DOI
1906
BibRef
Nasopoulou, A.[Anastasia],
Nordsletten, D.A.[David A.],
Niederer, S.A.[Steven A.],
Lamata, P.[Pablo],
Solution to the Unknown Boundary Tractions in Myocardial Material
Parameter Estimations,
FIMH19(313-322).
Springer DOI
1906
BibRef
Haliot, K.[Kylian],
Magat, J.[Julie],
Ozenne, V.[Valéry],
Abell, E.[Emma],
Dubes, V.[Virginie],
Bear, L.[Laura],
Gilbert, S.H.[Stephen H.],
Trew, M.L.[Mark L.],
Haissaguerre, M.[Michel],
Quesson, B.[Bruno],
Bernus, O.[Olivier],
3D High Resolution Imaging of Human Heart for Visualization of the
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FIMH19(196-207).
Springer DOI
1906
BibRef
Gilbert, K.[Kathleen],
Suinesiaputra, A.[Avan],
Neubauer, S.[Stefan],
Piechnik, S.[Stefan],
Aung, N.[Nay],
Petersen, S.E.[Steffen E.],
Young, A.[Alistair],
End-Diastolic and End-Systolic LV Morphology in the Presence of
Cardiovascular Risk Factors: A UK Biobank Study,
FIMH19(304-312).
Springer DOI
1906
BibRef
Ruijsink, B.[Bram],
Zugaj, K.[Konrad],
Pushparajah, K.[Kuberan],
Chabiniok, R.[Radomír],
Model-Based Indices of Early-Stage Cardiovascular Failure and Its
Therapeutic Management in Fontan Patients,
FIMH19(379-387).
Springer DOI
1906
BibRef
Zhang, L.,
Singh, V.,
Qi, G.,
Chen, T.,
Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray
Angiography,
WACV19(91-100)
IEEE DOI
1904
angiocardiography, catheters, diagnostic radiography,
medical image processing, occluded landmark detection,
Task analysis
BibRef
Liu, F.,
Zhou, X.,
Wang, Z.,
Wang, T.,
Zhang, Y.,
Identification of Hypertension by Mining Class Association Rules from
Multi-dimensional Features,
ICPR18(3114-3119)
IEEE DOI
1812
Feature extraction, Hypertension, Automobiles,
Heart rate variability, Frequency-domain analysis, Fluctuations,
heart rate variability
BibRef
Ibrahim, N.,
Mahadi, L.F.,
Mahmud, F.,
Initial Study to Evaluate Fuzzy Logic on Diagnosis of Generic
Atherosclerosis,
ICVISP17(123-129)
IEEE DOI
1712
Signal processing, atherosclerosis, fuzzy logic,
intima-media thickness, membership function
BibRef
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Adjustment of Parameters in Ionic Models Using Optimal Control Problems,
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Springer DOI
1706
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Delingette, H.[Hervé],
Jackson, T.[Thomas],
Fovargue, L.[Lauren],
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Rinaldi, A.[Aldo],
Ayache, N.[Nicholas],
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FIMH17(230-238).
Springer DOI
1706
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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
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Springer DOI
1706
BibRef
Chang, E.T.Y.[Eugene T. Y.],
Coveney, S.[Sam],
Clayton, R.H.[Richard H.],
Variance Based Sensitivity Analysis of IKr in a Model of the Human
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1706
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Scharfschwerdt, M.[Michael],
Schweikard, A.[Achim],
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Springer DOI
1706
BibRef
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Hauser, J.A.[Jakob A.],
Pennec, X.[Xavier],
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1706
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1706
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Automatic Whole-Heart Segmentation in Congenital Heart Disease Using
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1703
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Molléro, R.,
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Highly reduced model of the cardiac function for fast simulation,
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IEEE DOI
1608
Biological system modeling
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Poujol, J.,
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Barone-Rochette, G.,
Vanzetto, G.,
Fagret, D.,
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Myocardium segmentation on 3D spect images,
ICIP15(4788-4792)
IEEE DOI
1512
Heterogeneity Perfusion; Myocardium; SPECT; Segmentation; Shortest Path
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Coudičre, Y.[Yves],
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FIMH15(457-465).
Springer DOI
1507
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Bluemke, D.A.[David A.],
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Hundley, W.G.[William G.],
Kadish, A.H.[Alan H.],
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1507
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Patient-Specific Biomechanical Modeling of Cardiac Amyloidosis:
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1507
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1507
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Duckett, S.G.[Simon G.],
Shetty, A.K.[Anoop K.],
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1105
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Krueger, M.W.[Martin W.],
Schmidt, V.[Viktor],
Tobón, C.[Catalina],
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Lorenz, C.[Cristian],
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Barschdorf, H.[Hans],
Burdumy, M.[Michael],
Neher, P.[Peter],
Plank, G.[Gernot],
Rhode, K.S.[Kawal S.],
Seemann, G.[Gunnar],
Sanchez-Quintana, D.[Damien],
Saiz, J.[Jaview],
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Modeling Atrial Fiber Orientation in Patient-Specific Geometries:
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1105
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Wang, F.[Fei],
Zhang, Y.[Yong],
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1105
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A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic
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1009
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1009
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Sundar, H.[Hari],
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1006
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1006
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Kurkure, U.,
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Challenges and Opportunities for Extracting Cardiovascular Risk
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CIARP09(227-235).
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0911
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IEEE DOI
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IEEE DOI
0906
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Can We Trust the Transgenic Mouse? Insights from Computer Simulations,
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0608
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0601
See also Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations.
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Groger, M.,
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Structure Driven Substitution of Specular Reflections for Realtime
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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 .