1389 related articles for article (PubMed ID: 33438635)
1. Automated segmentation of the left ventricle from MR cine imaging based on deep learning architecture.
Qin W; Wu Y; Li S; Chen Y; Yang Y; Liu X; Zheng H; Liang D; Hu Z
Biomed Phys Eng Express; 2020 Feb; 6(2):025009. PubMed ID: 33438635
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Improved workflow for quantifying left ventricular function via cardiorespiratory-resolved analysis of free-breathing MR real-time cines.
Wu Y; Wan Q; Zhao J; Liu X; Zheng H; Chung YC; Chen Y
J Magn Reson Imaging; 2017 Sep; 46(3):905-914. PubMed ID: 28130855
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of fully automated myocardial segmentation techniques in native and contrast-enhanced T1-mapping cardiovascular magnetic resonance images using fully convolutional neural networks.
Farrag NA; Lochbihler A; White JA; Ukwatta E
Med Phys; 2021 Jan; 48(1):215-226. PubMed ID: 33131085
[TBL] [Abstract][Full Text] [Related]
5. Efficient method for analyzing MR real-time cines: Toward accurate quantification of left ventricular function.
Wu Y; Jiang K; Zhang N; Gao Y; Chen Y; Zheng H; Liu X; Chung YC
J Magn Reson Imaging; 2015 Oct; 42(4):972-80. PubMed ID: 25727686
[TBL] [Abstract][Full Text] [Related]
6. Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.
Bai W; Sinclair M; Tarroni G; Oktay O; Rajchl M; Vaillant G; Lee AM; Aung N; Lukaschuk E; Sanghvi MM; Zemrak F; Fung K; Paiva JM; Carapella V; Kim YJ; Suzuki H; Kainz B; Matthews PM; Petersen SE; Piechnik SK; Neubauer S; Glocker B; Rueckert D
J Cardiovasc Magn Reson; 2018 Sep; 20(1):65. PubMed ID: 30217194
[TBL] [Abstract][Full Text] [Related]
7. Cine MRI analysis by deep learning of optical flow: Adding the temporal dimension.
Yan W; Wang Y; van der Geest RJ; Tao Q
Comput Biol Med; 2019 Aug; 111():103356. PubMed ID: 31323604
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Assessment of deep learning segmentation for real-time free-breathing cardiac magnetic resonance imaging at rest and under exercise stress.
Schilling M; Unterberg-Buchwald C; Lotz J; Uecker M
Sci Rep; 2024 Feb; 14(1):3754. PubMed ID: 38355969
[TBL] [Abstract][Full Text] [Related]
10. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.
Wang B; Lei Y; Tian S; Wang T; Liu Y; Patel P; Jani AB; Mao H; Curran WJ; Liu T; Yang X
Med Phys; 2019 Apr; 46(4):1707-1718. PubMed ID: 30702759
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images.
Abdeltawab H; Khalifa F; Taher F; Alghamdi NS; Ghazal M; Beache G; Mohamed T; Keynton R; El-Baz A
Comput Med Imaging Graph; 2020 Apr; 81():101717. PubMed ID: 32222684
[TBL] [Abstract][Full Text] [Related]
13. Assessment of Bi-Ventricular and Bi-Atrial Areas Using Four-Chamber Cine Cardiovascular Magnetic Resonance Imaging: Fully Automated Segmentation with a U-Net Convolutional Neural Network.
Arai H; Kawakubo M; Sanui K; Iwamoto R; Nishimura H; Kadokami T
Int J Environ Res Public Health; 2022 Jan; 19(3):. PubMed ID: 35162424
[TBL] [Abstract][Full Text] [Related]
14. Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression.
Tan LK; McLaughlin RA; Lim E; Abdul Aziz YF; Liew YM
J Magn Reson Imaging; 2018 Jul; 48(1):140-152. PubMed ID: 29316024
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.
Ghadimi S; Auger DA; Feng X; Sun C; Meyer CH; Bilchick KC; Cao JJ; Scott AD; Oshinski JN; Ennis DB; Epstein FH
J Cardiovasc Magn Reson; 2021 Mar; 23(1):20. PubMed ID: 33691739
[TBL] [Abstract][Full Text] [Related]
17. Automated analysis of cardiovascular magnetic resonance myocardial native T
Fahmy AS; El-Rewaidy H; Nezafat M; Nakamori S; Nezafat R
J Cardiovasc Magn Reson; 2019 Jan; 21(1):7. PubMed ID: 30636630
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. High-resolution spiral real-time cardiac cine imaging with deep learning-based rapid image reconstruction and quantification.
Wang J; Awad M; Zhou R; Wang Z; Wang X; Feng X; Yang Y; Meyer C; Kramer CM; Salerno M
NMR Biomed; 2024 Feb; 37(2):e5051. PubMed ID: 37926525
[TBL] [Abstract][Full Text] [Related]
20. Fully automated intracardiac 4D flow MRI post-processing using deep learning for biventricular segmentation.
Corrado PA; Wentland AL; Starekova J; Dhyani A; Goss KN; Wieben O
Eur Radiol; 2022 Aug; 32(8):5669-5678. PubMed ID: 35175379
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
