-
1
-
-
84969930014
-
Non-invasive cardiac imaging: Past, present and future
-
Selvanayagam JB. Non-Invasive Cardiac Imaging: Past, Present and Future. Heart, lung & circulation. 2016;25 (8): 755-6.
-
(2016)
Heart, Lung & Circulation.
, vol.25
, Issue.8
, pp. 755-756
-
-
Selvanayagam, J.B.1
-
2
-
-
85016122076
-
A deep learning network for right ventricle segmentation in shortaxis MRI
-
Luo GN, An R, Wang KQ, Dong SY, Zhang HG. A deep learning network for right ventricle segmentation in shortaxis MRI. Computing in Cardiology 2016;43.
-
(2016)
Computing in Cardiology
, pp. 43
-
-
Luo, G.N.1
An, R.2
Wang, K.Q.3
Dong, S.Y.4
Zhang, H.G.5
-
3
-
-
84958955334
-
A combined deeplearning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI
-
Avendi MR, Kheradvar A, Jafarkhani H. A combined deeplearning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI. Med Image Anal. 2016;30: 108-19.
-
(2016)
Med Image Anal.
, vol.30
, pp. 108-119
-
-
Avendi, M.R.1
Kheradvar, A.2
Jafarkhani, H.3
-
5
-
-
85016124927
-
A combined multi-scale deep learning and random forests approach for direct left ventricular volumes estimation in 3D echocardiography
-
Dong SY, Luo GN, Sun GX, Wang KQ, Zhang HG. A combined multi-scale deep learning and random forests approach for direct left ventricular volumes estimation in 3D echocardiography. Computing in Cardiology 2016;43.
-
(2016)
Computing in Cardiology
, vol.43
-
-
Dong, S.Y.1
Luo, G.N.2
Sun, G.X.3
Wang, K.Q.4
Zhang, H.G.5
-
6
-
-
84938394939
-
Big heart data: Advancing health informatics through data sharing in cardiovascular imaging
-
Suinesiaputra A, Medrano-Gracia P, Cowan BR, Young AA. Big Heart Data: Advancing Health Informatics Through Data Sharing in Cardiovascular Imaging. Ieee J Biomed Health. 2015;19 (4): 1283-90.
-
(2015)
Ieee J Biomed Health.
, vol.19
, Issue.4
, pp. 1283-1290
-
-
Suinesiaputra, A.1
Medrano-Gracia, P.2
Cowan, B.R.3
Young, A.A.4
-
7
-
-
79851510761
-
A review of segmentation methods in short axis cardiac MR images
-
Petitjean C, Dacher JN. A review of segmentation methods in short axis cardiac MR images. Medical Image Analysis. 2011;15 (2): 169-84.
-
(2011)
Medical Image Analysis
, vol.15
, Issue.2
, pp. 169-184
-
-
Petitjean, C.1
Dacher, J.N.2
-
8
-
-
84955240327
-
A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging
-
Peng P, Lekadir K, Gooya A, Shao L, Petersen SE, Frangi AF. A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging. Magma. 2016;29 (2): 155-95.
-
(2016)
Magma
, vol.29
, Issue.2
, pp. 155-195
-
-
Peng, P.1
Lekadir, K.2
Gooya, A.3
Shao, L.4
Petersen, S.E.5
Frangi, A.F.6
-
9
-
-
84969962996
-
Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning
-
Shin HC, Roth HR, Gao M, Lu L, Xu Z, Nogues I, et al. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans Med Imaging. 2016;35 (5): 1285-98.
-
(2016)
IEEE Trans Med Imaging.
, vol.35
, Issue.5
, pp. 1285-1298
-
-
Shin, H.C.1
Roth, H.R.2
Gao, M.3
Lu, L.4
Xu, Z.5
Nogues, I.6
-
11
-
-
84897464862
-
Direct estimation of cardiac biventricular volumes with an adapted Bayesian formulation
-
Wang Z, Salah MB, Gu B, Islam A, Goela A, Li S. Direct estimation of cardiac biventricular volumes with an adapted Bayesian formulation. IEEE transactions on bio-medical engineering. 2014;61 (4): 1251-60.
-
(2014)
IEEE Transactions on Bio-medical Engineering.
, vol.61
, Issue.4
, pp. 1251-1260
-
-
Wang, Z.1
Salah, M.B.2
Gu, B.3
Islam, A.4
Goela, A.5
Li, S.6
-
12
-
-
84894041326
-
Regional assessment of cardiac left ventricular myocardial function via MRI statistical features
-
Afshin M, Ben Ayed I, Punithakumar K, Law M, Islam A, Goela A, et al. Regional assessment of cardiac left ventricular myocardial function via MRI statistical features. IEEE Trans Med Imaging. 2014;33 (2): 481-94.
-
(2014)
IEEE Trans Med Imaging.
, vol.33
, Issue.2
, pp. 481-494
-
-
Afshin, M.1
Ben Ayed, I.2
Punithakumar, K.3
Law, M.4
Islam, A.5
Goela, A.6
-
13
-
-
84958981335
-
Multiscale deep networks and regression forests for direct biventricular volume estimation
-
Zhen X, Wang Z, Islam A, Bhaduri M, Chan I, Li S. Multiscale deep networks and regression forests for direct biventricular volume estimation. Med Image Anal. 2016;30: 120-9.
-
(2016)
Med Image Anal.
, vol.30
, pp. 120-129
-
-
Zhen, X.1
Wang, Z.2
Islam, A.3
Bhaduri, M.4
Chan, I.5
Li, S.6
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