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cardiology
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Clutter
Respiratory movement.
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decision support systems
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Biomedical imaging
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Al-Naji, A.[Ali],
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IJIG(17), No. 01, 2017, pp. 1750001.
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1710
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IET-IPR(12), No. 2, February 2018, pp. 254-261.
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Mountney, P.,
Behar, J.M.,
Toth, D.,
Panayiotou, M.,
Reiml, S.,
Jolly, M.P.,
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Rhode, K.,
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MedImg(36), No. 11, November 2017, pp. 2366-2375.
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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
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Frangi, A.F.,
Tsaftaris, S.A.,
Prince, J.L.,
Simulation and Synthesis in Medical Imaging,
MedImg(37), No. 3, March 2018, pp. 673-679.
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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,
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1804
Hilbert transforms, blood vessels, cardiovascular system,
discrete wavelet transforms, diseases, medical signal processing,
seismocardiogram
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Zheng, Q.,
Delingette, H.,
Duchateau, N.,
Ayache, N.,
3-D Consistent and Robust Segmentation of Cardiac Images by Deep
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IEEE DOI
1809
Image segmentation, Training,
Machine learning,
spatial propagation
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Elsevier DOI
1911
Image recognition, Image quality assessment,
Iterative reconstruction algorithm, Image match
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Standard Quasi-Conformal Flattening of the Right and Left Atria,
FIMH19(85-93).
Springer DOI
1906
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Quaglino, A.[Alessio],
Potse, M.[Mark],
On Sampling Spatially-Correlated Random Fields for Complex Geometries,
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Springer DOI
1906
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van Osta, N.[Nick],
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Bovendeerd, P.[Peter],
Modeling Cardiac Growth: An Alternative Approach,
FIMH19(258-265).
Springer DOI
1906
BibRef
Le Gall, A.[Arthur],
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Chapelle, D.[Dominique],
Chabiniok, R.[Radomír],
Minimally-Invasive Estimation of Patient-Specific End-Systolic
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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
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FIMH19(285-293).
Springer DOI
1906
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Nordsletten, D.A.[David A.],
Niederer, S.A.[Steven A.],
Lamata, P.[Pablo],
Solution to the Unknown Boundary Tractions in Myocardial Material
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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],
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Petersen, S.E.[Steffen E.],
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End-Diastolic and End-Systolic LV Morphology in the Presence of
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FIMH19(304-312).
Springer DOI
1906
BibRef
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Zugaj, K.[Konrad],
Pushparajah, K.[Kuberan],
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Model-Based Indices of Early-Stage Cardiovascular Failure and Its
Therapeutic Management in Fontan Patients,
FIMH19(379-387).
Springer DOI
1906
BibRef
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Singh, V.,
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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
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1706
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1706
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1706
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1706
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1706
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1706
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1703
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1608
Biological system modeling
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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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1507
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1507
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Tobón, C.[Catalina],
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1105
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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 .