183 related articles for article (PubMed ID: 36588559)
1. Myocardial strain analysis of echocardiography based on deep learning.
Deng Y; Cai P; Zhang L; Cao X; Chen Y; Jiang S; Zhuang Z; Wang B
Front Cardiovasc Med; 2022; 9():1067760. PubMed ID: 36588559
[TBL] [Abstract][Full Text] [Related]
2. DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics.
Morales MA; van den Boomen M; Nguyen C; Kalpathy-Cramer J; Rosen BR; Stultz CM; Izquierdo-Garcia D; Catana C
Front Cardiovasc Med; 2021; 8():730316. PubMed ID: 34540923
[TBL] [Abstract][Full Text] [Related]
3. Echocardiography-based AI detection of regional wall motion abnormalities and quantification of cardiac function in myocardial infarction.
Lin X; Yang F; Chen Y; Chen X; Wang W; Chen X; Wang Q; Zhang L; Guo H; Liu B; Yu L; Pu H; Zhang P; Wu Z; Li X; Burkhoff D; He K
Front Cardiovasc Med; 2022; 9():903660. PubMed ID: 36072864
[TBL] [Abstract][Full Text] [Related]
4. Myocardial Function Imaging in Echocardiography Using Deep Learning.
Ostvik A; Salte IM; Smistad E; Nguyen TM; Melichova D; Brunvand H; Haugaa K; Edvardsen T; Grenne B; Lovstakken L
IEEE Trans Med Imaging; 2021 May; 40(5):1340-1351. PubMed ID: 33493114
[TBL] [Abstract][Full Text] [Related]
5. Motion Estimation by Deep Learning in 2D Echocardiography: Synthetic Dataset and Validation.
Evain E; Sun Y; Faraz K; Garcia D; Saloux E; Gerber BL; De Craene M; Bernard O
IEEE Trans Med Imaging; 2022 Aug; 41(8):1911-1924. PubMed ID: 35157582
[TBL] [Abstract][Full Text] [Related]
6. Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.
Cha KH; Hadjiiski L; Samala RK; Chan HP; Caoili EM; Cohan RH
Med Phys; 2016 Apr; 43(4):1882. PubMed ID: 27036584
[TBL] [Abstract][Full Text] [Related]
7. Automatic 3D left atrial strain extraction framework on cardiac computed tomography.
Chen L; Huang SH; Wang TH; Tseng VS; Tsao HM; Tang GJ
Comput Methods Programs Biomed; 2024 Jul; 252():108236. PubMed ID: 38776829
[TBL] [Abstract][Full Text] [Related]
8. Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram.
Sanjeevi G; Gopalakrishnan U; Pathinarupothi RK; Madathil T
J Med Syst; 2023 Jan; 47(1):13. PubMed ID: 36700970
[TBL] [Abstract][Full Text] [Related]
9. Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography.
Salte IM; Østvik A; Smistad E; Melichova D; Nguyen TM; Karlsen S; Brunvand H; Haugaa KH; Edvardsen T; Lovstakken L; Grenne B
JACC Cardiovasc Imaging; 2021 Oct; 14(10):1918-1928. PubMed ID: 34147442
[TBL] [Abstract][Full Text] [Related]
10. A deep learning approach with temporal consistency for automatic myocardial segmentation of quantitative myocardial contrast echocardiography.
Li M; Zeng D; Xie Q; Xu R; Wang Y; Ma D; Shi Y; Xu X; Huang M; Fei H
Int J Cardiovasc Imaging; 2021 Jun; 37(6):1967-1978. PubMed ID: 33595760
[TBL] [Abstract][Full Text] [Related]
11. Myocardial Segmentation of Tagged Magnetic Resonance Images with Transfer Learning Using Generative Cine-To-Tagged Dataset Transformation.
Dhaene AP; Loecher M; Wilson AJ; Ennis DB
Bioengineering (Basel); 2023 Jan; 10(2):. PubMed ID: 36829660
[TBL] [Abstract][Full Text] [Related]
12. Estimating 3-dimensional liver motion using deep learning and 2-dimensional ultrasound images.
Yagasaki S; Koizumi N; Nishiyama Y; Kondo R; Imaizumi T; Matsumoto N; Ogawa M; Numata K
Int J Comput Assist Radiol Surg; 2020 Dec; 15(12):1989-1995. PubMed ID: 33009985
[TBL] [Abstract][Full Text] [Related]
13. Deep-learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography.
Gordon MN; Hadjiiski LM; Cha KH; Samala RK; Chan HP; Cohan RH; Caoili EM
Med Phys; 2019 Feb; 46(2):634-648. PubMed ID: 30520055
[TBL] [Abstract][Full Text] [Related]
14. Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry.
Hasan MK; Calvet L; Rabbani N; Bartoli A
Med Image Anal; 2021 May; 70():101994. PubMed ID: 33611053
[TBL] [Abstract][Full Text] [Related]
15. Convolutional Neural Network-Based Speckle Tracking for Ultrasound Strain Elastography: An Unsupervised Learning Approach.
Wen S; Peng B; Wei X; Luo J; Jiang J
IEEE Trans Ultrason Ferroelectr Freq Control; 2023 May; 70(5):354-367. PubMed ID: 37022912
[TBL] [Abstract][Full Text] [Related]
16. Automatic liver tumor localization using deep learning-based liver boundary motion estimation and biomechanical modeling (DL-Bio).
Shao HC; Huang X; Folkert MR; Wang J; Zhang Y
Med Phys; 2021 Dec; 48(12):7790-7805. PubMed ID: 34632589
[TBL] [Abstract][Full Text] [Related]
17. U-Net based deep learning bladder segmentation in CT urography.
Ma X; Hadjiiski LM; Wei J; Chan HP; Cha KH; Cohan RH; Caoili EM; Samala R; Zhou C; Lu Y
Med Phys; 2019 Apr; 46(4):1752-1765. PubMed ID: 30734932
[TBL] [Abstract][Full Text] [Related]
18. Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations.
Huo Y; Terry JG; Wang J; Nair S; Lasko TA; Freedman BI; Carr JJ; Landman BA
Med Phys; 2019 Aug; 46(8):3508-3519. PubMed ID: 31228267
[TBL] [Abstract][Full Text] [Related]
19. External validation of a deep learning algorithm for automated echocardiographic strain measurements.
Myhre PL; Hung CL; Frost MJ; Jiang Z; Ouwerkerk W; Teramoto K; Svedlund S; Saraste A; Hage C; Tan RS; Beussink-Nelson L; Fermer ML; Gan LM; Hummel YM; Lund LH; Shah SJ; Lam CSP; Tromp J
Eur Heart J Digit Health; 2024 Jan; 5(1):60-68. PubMed ID: 38264705
[TBL] [Abstract][Full Text] [Related]
20. A maximum likelihood approach to diffeomorphic speckle tracking for 3D strain estimation in echocardiography.
Curiale AH; Vegas-Sánchez-Ferrero G; Bosch JG; Aja-Fernández S
Med Image Anal; 2015 Aug; 24(1):90-105. PubMed ID: 26084033
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
