124 related articles for article (PubMed ID: 31079952)
1. Putting machine learning into motion: applications in cardiovascular imaging.
O'Regan DP
Clin Radiol; 2020 Jan; 75(1):33-37. PubMed ID: 31079952
[TBL] [Abstract][Full Text] [Related]
2. Machine learning in cardiovascular magnetic resonance: basic concepts and applications.
Leiner T; Rueckert D; Suinesiaputra A; Baeßler B; Nezafat R; Išgum I; Young AA
J Cardiovasc Magn Reson; 2019 Oct; 21(1):61. PubMed ID: 31590664
[TBL] [Abstract][Full Text] [Related]
3. Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers.
Khened M; Kollerathu VA; Krishnamurthi G
Med Image Anal; 2019 Jan; 51():21-45. PubMed ID: 30390512
[TBL] [Abstract][Full Text] [Related]
4. Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow.
Zheng Q; Delingette H; Ayache N
Med Image Anal; 2019 Aug; 56():80-95. PubMed ID: 31200290
[TBL] [Abstract][Full Text] [Related]
5. Learning-Based Quality Control for Cardiac MR Images.
Tarroni G; Oktay O; Bai W; Schuh A; Suzuki H; Passerat-Palmbach J; de Marvao A; O'Regan DP; Cook S; Glocker B; Matthews PM; Rueckert D
IEEE Trans Med Imaging; 2019 May; 38(5):1127-1138. PubMed ID: 30403623
[TBL] [Abstract][Full Text] [Related]
6. Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences.
Tan LK; Liew YM; Lim E; McLaughlin RA
Med Image Anal; 2017 Jul; 39():78-86. PubMed ID: 28437634
[TBL] [Abstract][Full Text] [Related]
7. Advanced flow MRI: emerging techniques and applications.
Markl M; Schnell S; Wu C; Bollache E; Jarvis K; Barker AJ; Robinson JD; Rigsby CK
Clin Radiol; 2016 Aug; 71(8):779-95. PubMed ID: 26944696
[TBL] [Abstract][Full Text] [Related]
8. Applications of artificial intelligence in multimodality cardiovascular imaging: A state-of-the-art review.
Xu B; Kocyigit D; Grimm R; Griffin BP; Cheng F
Prog Cardiovasc Dis; 2020; 63(3):367-376. PubMed ID: 32201286
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Artificial Intelligence and Machine Learning in Cardiovascular Imaging.
Seetharam K; Min JK
Methodist Debakey Cardiovasc J; 2020; 16(4):263-271. PubMed ID: 33500754
[TBL] [Abstract][Full Text] [Related]
12. Machine Learning Approaches in Cardiovascular Imaging.
Henglin M; Stein G; Hushcha PV; Snoek J; Wiltschko AB; Cheng S
Circ Cardiovasc Imaging; 2017 Oct; 10(10):. PubMed ID: 28956772
[TBL] [Abstract][Full Text] [Related]
13. Free-breathing whole-heart 3D cine magnetic resonance imaging with prospective respiratory motion compensation.
Moghari MH; Barthur A; Amaral ME; Geva T; Powell AJ
Magn Reson Med; 2018 Jul; 80(1):181-189. PubMed ID: 29222852
[TBL] [Abstract][Full Text] [Related]
14. Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging.
Retson TA; Besser AH; Sall S; Golden D; Hsiao A
J Thorac Imaging; 2019 May; 34(3):192-201. PubMed ID: 31009397
[TBL] [Abstract][Full Text] [Related]
15. Artificial Intelligence in Cardiovascular Imaging.
Lim LJ; Tison GH; Delling FN
Methodist Debakey Cardiovasc J; 2020; 16(2):138-145. PubMed ID: 32670474
[TBL] [Abstract][Full Text] [Related]
16. MR physics in practice: how to optimize acquisition quality and time for cardiac MR imaging.
Saloner D; Liu J; Haraldsson H
Magn Reson Imaging Clin N Am; 2015 Feb; 23(1):1-6. PubMed ID: 25476668
[TBL] [Abstract][Full Text] [Related]
17. Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance.
Ngo TA; Lu Z; Carneiro G
Med Image Anal; 2017 Jan; 35():159-171. PubMed ID: 27423113
[TBL] [Abstract][Full Text] [Related]
18. Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions.
Zamzmi G; Hsu LY; Li W; Sachdev V; Antani S
IEEE Rev Biomed Eng; 2021; 14():181-203. PubMed ID: 32305938
[TBL] [Abstract][Full Text] [Related]
19. Machine Learning in Radiology: Applications Beyond Image Interpretation.
Lakhani P; Prater AB; Hutson RK; Andriole KP; Dreyer KJ; Morey J; Prevedello LM; Clark TJ; Geis JR; Itri JN; Hawkins CM
J Am Coll Radiol; 2018 Feb; 15(2):350-359. PubMed ID: 29158061
[TBL] [Abstract][Full Text] [Related]
20. Fully automatic, retrospective enhancement of real-time acquired cardiac cine MR images using image-based navigators and respiratory motion-corrected averaging.
Kellman P; Chefd'hotel C; Lorenz CH; Mancini C; Arai AE; McVeigh ER
Magn Reson Med; 2008 Apr; 59(4):771-8. PubMed ID: 18302227
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
