196 related articles for article (PubMed ID: 32658742)
1. Automatic left ventricle segmentation in short-axis MRI using deep convolutional neural networks and central-line guided level set approach.
Xie L; Song Y; Chen Q
Comput Biol Med; 2020 Jul; 122():103877. PubMed ID: 32658742
[TBL] [Abstract][Full Text] [Related]
2. Simultaneous extraction of endocardial and epicardial contours of the left ventricle by distance regularized level sets.
Feng C; Zhang S; Zhao D; Li C
Med Phys; 2016 Jun; 43(6):2741-2755. PubMed ID: 27277021
[TBL] [Abstract][Full Text] [Related]
3. Fully Automatic initialization and segmentation of left and right ventricles for large-scale cardiac MRI using a deeply supervised network and 3D-ASM.
Hu H; Pan N; Frangi AF
Comput Methods Programs Biomed; 2023 Oct; 240():107679. PubMed ID: 37364366
[TBL] [Abstract][Full Text] [Related]
4. Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach.
Wu B; Fang Y; Lai X
Comput Med Imaging Graph; 2020 Jun; 82():101719. PubMed ID: 32325284
[TBL] [Abstract][Full Text] [Related]
5. Anatomical knowledge based level set segmentation of cardiac ventricles from MRI.
Shi X; Li C
Magn Reson Imaging; 2022 Feb; 86():135-148. PubMed ID: 34710558
[TBL] [Abstract][Full Text] [Related]
6. An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images.
Ma Z; Wu X; Wang X; Song Q; Yin Y; Cao K; Wang Y; Zhou J
Med Phys; 2019 Dec; 46(12):5652-5665. PubMed ID: 31605627
[TBL] [Abstract][Full Text] [Related]
7. Dynamic pixel-wise weighting-based fully convolutional neural networks for left ventricle segmentation in short-axis MRI.
Wang Z; Xie L; Qi J
Magn Reson Imaging; 2020 Feb; 66():131-140. PubMed ID: 31465788
[TBL] [Abstract][Full Text] [Related]
8. Automatic cardiac cine MRI segmentation and heart disease classification.
Ammar A; Bouattane O; Youssfi M
Comput Med Imaging Graph; 2021 Mar; 88():101864. PubMed ID: 33485057
[TBL] [Abstract][Full Text] [Related]
9. Left ventricle segmentation via two-layer level sets with circular shape constraint.
Yang C; Wu W; Su Y; Zhang S
Magn Reson Imaging; 2017 May; 38():202-213. PubMed ID: 28108373
[TBL] [Abstract][Full Text] [Related]
10. Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images.
Zabihollahy F; White JA; Ukwatta E
Med Phys; 2019 Apr; 46(4):1740-1751. PubMed ID: 30734937
[TBL] [Abstract][Full Text] [Related]
11. Fully automated cardiac MRI segmentation using dilated residual network.
Ahmad F; Hou W; Xiong J; Xia Z
Med Phys; 2023 Apr; 50(4):2162-2175. PubMed ID: 36395472
[TBL] [Abstract][Full Text] [Related]
12. Comparative analysis of active contour and convolutional neural network in rapid left-ventricle volume quantification using echocardiographic imaging.
Zhu X; Wei Y; Lu Y; Zhao M; Yang K; Wu S; Zhang H; Wong KKL
Comput Methods Programs Biomed; 2021 Feb; 199():105914. PubMed ID: 33383330
[TBL] [Abstract][Full Text] [Related]
13. Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI.
Chen Z; Lalande A; Salomon M; Decourselle T; Pommier T; Qayyum A; Shi J; Perrot G; Couturier R
Comput Med Imaging Graph; 2022 Jan; 95():102014. PubMed ID: 34864579
[TBL] [Abstract][Full Text] [Related]
14. An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images.
Ma Y; Wang L; Ma Y; Dong M; Du S; Sun X
Int J Comput Assist Radiol Surg; 2016 Nov; 11(11):1951-1964. PubMed ID: 27295053
[TBL] [Abstract][Full Text] [Related]
15. Automatic left ventricle segmentation from cardiac magnetic resonance images using a capsule network.
He Y; Qin W; Wu Y; Zhang M; Yang Y; Liu X; Zheng H; Liang D; Hu Z
J Xray Sci Technol; 2020; 28(3):541-553. PubMed ID: 32176675
[TBL] [Abstract][Full Text] [Related]
16. A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI.
Avendi MR; Kheradvar A; Jafarkhani H
Med Image Anal; 2016 May; 30():108-119. PubMed ID: 26917105
[TBL] [Abstract][Full Text] [Related]
17. Fully automatic segmentation of right and left ventricle on short-axis cardiac MRI images.
Budai A; Suhai FI; Csorba K; Toth A; Szabo L; Vago H; Merkely B
Comput Med Imaging Graph; 2020 Oct; 85():101786. PubMed ID: 32866695
[TBL] [Abstract][Full Text] [Related]
18. Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network.
Penso M; Moccia S; Scafuri S; Muscogiuri G; Pontone G; Pepi M; Caiani EG
Comput Methods Programs Biomed; 2021 Jun; 204():106059. PubMed ID: 33812305
[TBL] [Abstract][Full Text] [Related]
19. Echocardiographic image multi-structure segmentation using Cardiac-SegNet.
Lei Y; Fu Y; Roper J; Higgins K; Bradley JD; Curran WJ; Liu T; Yang X
Med Phys; 2021 May; 48(5):2426-2437. PubMed ID: 33655564
[TBL] [Abstract][Full Text] [Related]
20. Automatic Left Ventricle Segmentation from Short-Axis Cardiac MRI Images Based on Fully Convolutional Neural Network.
Shaaf ZF; Jamil MMA; Ambar R; Alattab AA; Yahya AA; Asiri Y
Diagnostics (Basel); 2022 Feb; 12(2):. PubMed ID: 35204504
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
