252 related articles for article (PubMed ID: 33746369)
1. Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images.
Jin Q; Cui H; Sun C; Meng Z; Wei L; Su R
Expert Syst Appl; 2021 Aug; 176():114848. PubMed ID: 33746369
[TBL] [Abstract][Full Text] [Related]
2. S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
Liu L; Zhang Z; Li S; Ma K; Zheng Y
Med Image Anal; 2021 Dec; 74():102214. PubMed ID: 34464837
[TBL] [Abstract][Full Text] [Related]
3. Multiscale unsupervised domain adaptation for automatic pancreas segmentation in CT volumes using adversarial learning.
Zhu Y; Hu P; Li X; Tian Y; Bai X; Liang T; Li J
Med Phys; 2022 Sep; 49(9):5799-5818. PubMed ID: 35833617
[TBL] [Abstract][Full Text] [Related]
4. Unsupervised domain adaptation based COVID-19 CT infection segmentation network.
Chen H; Jiang Y; Loew M; Ko H
Appl Intell (Dordr); 2022; 52(6):6340-6353. PubMed ID: 34764618
[TBL] [Abstract][Full Text] [Related]
5. IAS-NET: Joint intraclassly adaptive GAN and segmentation network for unsupervised cross-domain in neonatal brain MRI segmentation.
Li B; You X; Wang J; Peng Q; Yin S; Qi R; Ren Q; Hong Z
Med Phys; 2021 Nov; 48(11):6962-6975. PubMed ID: 34494276
[TBL] [Abstract][Full Text] [Related]
6. Two-stage adversarial learning based unsupervised domain adaptation for retinal OCT segmentation.
Diao S; Yin Z; Chen X; Li M; Zhu W; Mateen M; Xu X; Shi F; Fan Y
Med Phys; 2024 Mar; ():. PubMed ID: 38426594
[TBL] [Abstract][Full Text] [Related]
7. Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation.
Wang Y; Zhang Y; Liu Y; Tian J; Zhong C; Shi Z; Zhang Y; He Z
Comput Methods Programs Biomed; 2021 Apr; 202():106004. PubMed ID: 33662804
[TBL] [Abstract][Full Text] [Related]
8. Test-time bi-directional adaptation between image and model for robust segmentation.
Huang X; Yang X; Dou H; Huang Y; Zhang L; Liu Z; Yan Z; Liu L; Zou Y; Hu X; Gao R; Zhang Y; Xiong Y; Xue W; Ni D
Comput Methods Programs Biomed; 2023 May; 233():107477. PubMed ID: 36972645
[TBL] [Abstract][Full Text] [Related]
9. COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework.
Liu J; Dong B; Wang S; Cui H; Fan DP; Ma J; Chen G
Med Image Anal; 2021 Dec; 74():102205. PubMed ID: 34425317
[TBL] [Abstract][Full Text] [Related]
10. Deep learning based domain adaptation for mitochondria segmentation on EM volumes.
Franco-Barranco D; Pastor-Tronch J; González-Marfil A; Muñoz-Barrutia A; Arganda-Carreras I
Comput Methods Programs Biomed; 2022 Jul; 222():106949. PubMed ID: 35753105
[TBL] [Abstract][Full Text] [Related]
11. A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
Liu Y; Zhang M; Zhong Z; Zeng X
Med Phys; 2023 Mar; 50(3):1528-1538. PubMed ID: 36057788
[TBL] [Abstract][Full Text] [Related]
12. Unsupervised domain adaptation multi-level adversarial learning-based crossing-domain retinal vessel segmentation.
Liu J; Zhao J; Xiao J; Zhao G; Xu P; Yang Y; Gong S
Comput Biol Med; 2024 Jun; 178():108759. PubMed ID: 38917530
[TBL] [Abstract][Full Text] [Related]
13. ADPL: Adaptive Dual Path Learning for Domain Adaptation of Semantic Segmentation.
Cheng Y; Wei F; Bao J; Chen D; Zhang W
IEEE Trans Pattern Anal Mach Intell; 2023 Aug; 45(8):9339-9356. PubMed ID: 37027611
[TBL] [Abstract][Full Text] [Related]
14. MESTrans: Multi-scale embedding spatial transformer for medical image segmentation.
Liu Y; Zhu Y; Xin Y; Zhang Y; Yang D; Xu T
Comput Methods Programs Biomed; 2023 May; 233():107493. PubMed ID: 36965298
[TBL] [Abstract][Full Text] [Related]
15. Source free domain adaptation for medical image segmentation with fourier style mining.
Yang C; Guo X; Chen Z; Yuan Y
Med Image Anal; 2022 Jul; 79():102457. PubMed ID: 35461016
[TBL] [Abstract][Full Text] [Related]
16. LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation.
Zhao Z; Zhou F; Xu K; Zeng Z; Guan C; Zhou SK
IEEE Trans Med Imaging; 2023 Mar; 42(3):633-646. PubMed ID: 36227829
[TBL] [Abstract][Full Text] [Related]
17. SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning.
Wang X; Yuan Y; Guo D; Huang X; Cui Y; Xia M; Wang Z; Bai C; Chen S
Med Image Anal; 2022 Jul; 79():102459. PubMed ID: 35544999
[TBL] [Abstract][Full Text] [Related]
18. LungINFseg: Segmenting COVID-19 Infected Regions in Lung CT Images Based on a Receptive-Field-Aware Deep Learning Framework.
Kumar Singh V; Abdel-Nasser M; Pandey N; Puig D
Diagnostics (Basel); 2021 Jan; 11(2):. PubMed ID: 33498999
[TBL] [Abstract][Full Text] [Related]
19. LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint.
Jafari M; Francis S; Garibaldi JM; Chen X
Med Image Anal; 2022 Oct; 81():102536. PubMed ID: 35870297
[TBL] [Abstract][Full Text] [Related]
20. A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT Images with Unsupervised Domain Adaptation.
Ananda S; Jain RK; Li Y; Iwamoto Y; Han XH; Kanasaki S; Hu H; Chen YW
Bioengineering (Basel); 2023 Jul; 10(8):. PubMed ID: 37627784
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]