189 related articles for article (PubMed ID: 34513940)
1. Deep Learning Analysis of Echocardiographic Images to Predict Positive Genotype in Patients With Hypertrophic Cardiomyopathy.
Morita SX; Kusunose K; Haga A; Sata M; Hasegawa K; Raita Y; Reilly MP; Fifer MA; Maurer MS; Shimada YJ
Front Cardiovasc Med; 2021; 8():669860. PubMed ID: 34513940
[TBL] [Abstract][Full Text] [Related]
2. Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images.
Zhou H; Li L; Liu Z; Zhao K; Chen X; Lu M; Yin G; Song L; Zhao S; Zheng H; Tian J
Eur Radiol; 2021 Jun; 31(6):3931-3940. PubMed ID: 33241513
[TBL] [Abstract][Full Text] [Related]
3. Prediction of Genotype Positivity in Patients With Hypertrophic Cardiomyopathy Using Machine Learning.
Liang LW; Fifer MA; Hasegawa K; Maurer MS; Reilly MP; Shimada YJ
Circ Genom Precis Med; 2021 Jun; 14(3):e003259. PubMed ID: 33890823
[TBL] [Abstract][Full Text] [Related]
4. Deep learning-derived 12-lead electrocardiogram-based genotype prediction for hypertrophic cardiomyopathy: a pilot study.
Chen L; Fu G; Jiang C
Ann Med; 2023 Dec; 55(1):2235564. PubMed ID: 37467172
[TBL] [Abstract][Full Text] [Related]
5. Hypertrophic Cardiomyopathy Genotype Prediction Models in a Pediatric Population.
Newman R; Jefferies JL; Chin C; He H; Shikany A; Miller EM; Parrott A
Pediatr Cardiol; 2018 Apr; 39(4):709-717. PubMed ID: 29362845
[TBL] [Abstract][Full Text] [Related]
6. Early changes in apical rotation in genotype positive children with hypertrophic cardiomyopathy mutations without hypertrophic changes on two-dimensional imaging.
Forsey J; Benson L; Rozenblyum E; Friedberg MK; Mertens L
J Am Soc Echocardiogr; 2014 Feb; 27(2):215-21. PubMed ID: 24325958
[TBL] [Abstract][Full Text] [Related]
7. Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
Song Y; Zhang YD; Yan X; Liu H; Zhou M; Hu B; Yang G
J Magn Reson Imaging; 2018 Dec; 48(6):1570-1577. PubMed ID: 29659067
[TBL] [Abstract][Full Text] [Related]
8. Characterization of a phenotype-based genetic test prediction score for unrelated patients with hypertrophic cardiomyopathy.
Bos JM; Will ML; Gersh BJ; Kruisselbrink TM; Ommen SR; Ackerman MJ
Mayo Clin Proc; 2014 Jun; 89(6):727-37. PubMed ID: 24793961
[TBL] [Abstract][Full Text] [Related]
9. Differential diagnosis of common etiologies of left ventricular hypertrophy using a hybrid CNN-LSTM model.
Hwang IC; Choi D; Choi YJ; Ju L; Kim M; Hong JE; Lee HJ; Yoon YE; Park JB; Lee SP; Kim HK; Kim YJ; Cho GY
Sci Rep; 2022 Dec; 12(1):20998. PubMed ID: 36470931
[TBL] [Abstract][Full Text] [Related]
10. A Deep Learning Approach for Assessment of Regional Wall Motion Abnormality From Echocardiographic Images.
Kusunose K; Abe T; Haga A; Fukuda D; Yamada H; Harada M; Sata M
JACC Cardiovasc Imaging; 2020 Feb; 13(2 Pt 1):374-381. PubMed ID: 31103590
[TBL] [Abstract][Full Text] [Related]
11. Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network.
Lee JH; Joo I; Kang TW; Paik YH; Sinn DH; Ha SY; Kim K; Choi C; Lee G; Yi J; Bang WC
Eur Radiol; 2020 Feb; 30(2):1264-1273. PubMed ID: 31478087
[TBL] [Abstract][Full Text] [Related]
12. A Validation Study of the Mayo Clinic Phenotype-Based Genetic Test Prediction Score for Japanese Patients With Hypertrophic Cardiomyopathy.
Moriki T; Kubo T; Sugiura K; Ochi Y; Baba Y; Hirota T; Yamasaki N; Kimura A; Doi YL; Kitaoka H
Circ J; 2021 Apr; 85(5):669-674. PubMed ID: 33487615
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of the Mayo Clinic Phenotype-Based Genotype Predictor Score in Patients with Clinically Diagnosed Hypertrophic Cardiomyopathy.
Murphy SL; Anderson JH; Kapplinger JD; Kruisselbrink TM; Gersh BJ; Ommen SR; Ackerman MJ; Bos JM
J Cardiovasc Transl Res; 2016 Apr; 9(2):153-61. PubMed ID: 26914223
[TBL] [Abstract][Full Text] [Related]
14. Detection of hypertrophic cardiomyopathy by an artificial intelligence electrocardiogram in children and adolescents.
Siontis KC; Liu K; Bos JM; Attia ZI; Cohen-Shelly M; Arruda-Olson AM; Zanjirani Farahani N; Friedman PA; Noseworthy PA; Ackerman MJ
Int J Cardiol; 2021 Oct; 340():42-47. PubMed ID: 34419527
[TBL] [Abstract][Full Text] [Related]
15. The utility of the Mayo Score for predicting the yield of genetic testing in patients with hypertrophic cardiomyopathy.
Bonaventura J; Norambuena P; Tomašov P; Jindrová D; Šedivá H; Macek M; Veselka J
Arch Med Sci; 2019 May; 15(3):641-649. PubMed ID: 31110529
[TBL] [Abstract][Full Text] [Related]
16. Toronto hypertrophic cardiomyopathy genotype score for prediction of a positive genotype in hypertrophic cardiomyopathy.
Gruner C; Ivanov J; Care M; Williams L; Moravsky G; Yang H; Laczay B; Siminovitch K; Woo A; Rakowski H
Circ Cardiovasc Genet; 2013 Feb; 6(1):19-26. PubMed ID: 23239831
[TBL] [Abstract][Full Text] [Related]
17. [Predicting value of 2014 European guidelines risk prediction model for sudden cardiac death (HCM Risk-SCD) in Chinese patients with hypertrophic cardiomyopathy].
Li WX; Liu LW; Wang J; Zuo L; Yang F; Kang N; Lei CH
Zhonghua Xin Xue Guan Bing Za Zhi; 2017 Dec; 45(12):1033-1038. PubMed ID: 29325362
[No Abstract] [Full Text] [Related]
18. A deep learning approach for the automatic recognition of prosthetic mitral valve in echocardiographic images.
Vafaeezadeh M; Behnam H; Hosseinsabet A; Gifani P
Comput Biol Med; 2021 Jun; 133():104388. PubMed ID: 33864972
[TBL] [Abstract][Full Text] [Related]
19. Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier.
Treder M; Lauermann JL; Eter N
Graefes Arch Clin Exp Ophthalmol; 2018 Nov; 256(11):2053-2060. PubMed ID: 30091055
[TBL] [Abstract][Full Text] [Related]
20. Automated Facial Recognition for Noonan Syndrome Using Novel Deep Convolutional Neural Network With Additive Angular Margin Loss.
Yang H; Hu XR; Sun L; Hong D; Zheng YY; Xin Y; Liu H; Lin MY; Wen L; Liang DP; Wang SS
Front Genet; 2021; 12():669841. PubMed ID: 34163525
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]