150 related articles for article (PubMed ID: 34482121)
1. TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation.
Du X; Xu X; Liu H; Li S
Comput Med Imaging Graph; 2021 Oct; 93():101971. PubMed ID: 34482121
[TBL] [Abstract][Full Text] [Related]
2. Comparative analysis of U-Net and TLMDB GAN for the cardiovascular segmentation of the ventricles in the heart.
Zhang Y; Feng J; Guo X; Ren Y
Comput Methods Programs Biomed; 2022 Mar; 215():106614. PubMed ID: 35066315
[TBL] [Abstract][Full Text] [Related]
3. Fully connected network with multi-scale dilation convolution module in evaluating atrial septal defect based on MRI segmentation.
Chen H; Yan S; Xie M; Ye Y; Ye Y; Zhu D; Su L; Huang J
Comput Methods Programs Biomed; 2022 Mar; 215():106608. PubMed ID: 35063713
[TBL] [Abstract][Full Text] [Related]
4. A multiple-channel and atrous convolution network for ultrasound image segmentation.
Zhang L; Zhang J; Li Z; Song Y
Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Light-Weight Localization and Scale-Independent Multi-gate UNET Segmentation of Left and Right Ventricles in MRI Images.
Abdelrauof D; Essam M; Elattar M
Cardiovasc Eng Technol; 2022 Jun; 13(3):393-406. PubMed ID: 34773242
[TBL] [Abstract][Full Text] [Related]
7. RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images.
Li YZ; Wang Y; Huang YH; Xiang P; Liu WX; Lai QQ; Gao YY; Xu MS; Guo YF
Comput Methods Programs Biomed; 2023 Apr; 231():107437. PubMed ID: 36863157
[TBL] [Abstract][Full Text] [Related]
8. Dilated-Inception Net: Multi-Scale Feature Aggregation for Cardiac Right Ventricle Segmentation.
Li J; Yu ZL; Gu Z; Liu H; Li Y
IEEE Trans Biomed Eng; 2019 Dec; 66(12):3499-3508. PubMed ID: 30932820
[TBL] [Abstract][Full Text] [Related]
9. Hybrid dilation and attention residual U-Net for medical image segmentation.
Wang Z; Zou Y; Liu PX
Comput Biol Med; 2021 Jul; 134():104449. PubMed ID: 33993015
[TBL] [Abstract][Full Text] [Related]
10. A U-snake based deep learning network for right ventricle segmentation.
Huang K; Xu L; Zhu Y; Meng P
Med Phys; 2022 Jun; 49(6):3900-3913. PubMed ID: 35302251
[TBL] [Abstract][Full Text] [Related]
11. Learning U-Net Based Multi-Scale Features in Encoding-Decoding for MR Image Brain Tissue Segmentation.
Long JS; Ma GZ; Song EM; Jin RC
Sensors (Basel); 2021 May; 21(9):. PubMed ID: 34067101
[TBL] [Abstract][Full Text] [Related]
12. Automatic right ventricular segmentation for cine cardiac magnetic resonance images based on a new deep atlas network.
Wang L; Su H; Liu P
Med Phys; 2023 Nov; 50(11):7060-7070. PubMed ID: 37293874
[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. Multiscale attention guided U-Net architecture for cardiac segmentation in short-axis MRI images.
Cui H; Yuwen C; Jiang L; Xia Y; Zhang Y
Comput Methods Programs Biomed; 2021 Jul; 206():106142. PubMed ID: 34004500
[TBL] [Abstract][Full Text] [Related]
15. DCU-Net: Multi-scale U-Net for brain tumor segmentation.
Yang T; Zhou Y; Li L; Zhu C
J Xray Sci Technol; 2020; 28(4):709-726. PubMed ID: 32444591
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Semi-supervised generative adversarial networks for the segmentation of the left ventricle in pediatric MRI.
Decourt C; Duong L
Comput Biol Med; 2020 Aug; 123():103884. PubMed ID: 32658792
[TBL] [Abstract][Full Text] [Related]
18. Automated Segmentation of Cardiac Chambers from Cine Cardiac MRI Using an Adversarial Network Architecture.
Upendra RR; Dangi S; Linte CA
Proc SPIE Int Soc Opt Eng; 2020 Feb; 11315():. PubMed ID: 32699460
[TBL] [Abstract][Full Text] [Related]
19. A Novel Framework With Weighted Decision Map Based on Convolutional Neural Network for Cardiac MR Segmentation.
Li FY; Li W; Gao X; Xiao B
IEEE J Biomed Health Inform; 2022 May; 26(5):2228-2239. PubMed ID: 34851840
[TBL] [Abstract][Full Text] [Related]
20. Deep learning-based medical image segmentation of the aorta using XR-MSF-U-Net.
Chen W; Huang H; Huang J; Wang K; Qin H; Wong KKL
Comput Methods Programs Biomed; 2022 Oct; 225():107073. PubMed ID: 36029551
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
