432 related articles for article (PubMed ID: 35301702)
1. Disentangled representation and cross-modality image translation based unsupervised domain adaptation method for abdominal organ segmentation.
Jiang K; Quan L; Gong T
Int J Comput Assist Radiol Surg; 2022 Jun; 17(6):1101-1113. PubMed ID: 35301702
[TBL] [Abstract][Full Text] [Related]
2. A medical unsupervised domain adaptation framework based on Fourier transform image translation and multi-model ensemble self-training strategy.
Jiang K; Gong T; Quan L
Int J Comput Assist Radiol Surg; 2023 Oct; 18(10):1885-1894. PubMed ID: 37010674
[TBL] [Abstract][Full Text] [Related]
3. A bidirectional multilayer contrastive adaptation network with anatomical structure preservation for unpaired cross-modality medical image segmentation.
Liu H; Zhuang Y; Song E; Xu X; Hung CC
Comput Biol Med; 2022 Oct; 149():105964. PubMed ID: 36007288
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Latent shape image learning via disentangled representation for cross-sequence image registration and segmentation.
Wu J; Yang Q; Zhou S
Int J Comput Assist Radiol Surg; 2023 Apr; 18(4):621-628. PubMed ID: 36346499
[TBL] [Abstract][Full Text] [Related]
6. Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation.
Han X; Qi L; Yu Q; Zhou Z; Zheng Y; Shi Y; Gao Y
IEEE Trans Med Imaging; 2022 Jan; 41(1):121-132. PubMed ID: 34398751
[TBL] [Abstract][Full Text] [Related]
7. Bidirectional cross-modality unsupervised domain adaptation using generative adversarial networks for cardiac image segmentation.
Cui H; Yuwen C; Jiang L; Xia Y; Zhang Y
Comput Biol Med; 2021 Sep; 136():104726. PubMed ID: 34371318
[TBL] [Abstract][Full Text] [Related]
8. Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation.
Yang J; Dvornek NC; Zhang F; Chapiro J; Lin M; Duncan JS
Med Image Comput Comput Assist Interv; 2019 Oct; 11765():255-263. PubMed ID: 32377643
[TBL] [Abstract][Full Text] [Related]
9. EDRL: Entropy-guided disentangled representation learning for unsupervised domain adaptation in semantic segmentation.
Wang R; Zhou Q; Zheng G
Comput Methods Programs Biomed; 2023 Oct; 240():107729. PubMed ID: 37531690
[TBL] [Abstract][Full Text] [Related]
10. CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation.
Wang R; Zheng G
Med Image Anal; 2022 Feb; 76():102328. PubMed ID: 34920236
[TBL] [Abstract][Full Text] [Related]
11. DDA-Net: Unsupervised cross-modality medical image segmentation via dual domain adaptation.
Bian X; Luo X; Wang C; Liu W; Lin X
Comput Methods Programs Biomed; 2022 Jan; 213():106531. PubMed ID: 34818619
[TBL] [Abstract][Full Text] [Related]
12. Unsupervised deep consistency learning adaptation network for cardiac cross-modality structural segmentation.
Li D; Peng Y; Sun J; Guo Y
Med Biol Eng Comput; 2023 Oct; 61(10):2713-2732. PubMed ID: 37450212
[TBL] [Abstract][Full Text] [Related]
13. Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation.
Chen C; Dou Q; Chen H; Qin J; Heng PA
IEEE Trans Med Imaging; 2020 Jul; 39(7):2494-2505. PubMed ID: 32054572
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation.
Jiang J; Veeraraghavan H
Med Image Comput Comput Assist Interv; 2020 Oct; 12262():347-358. PubMed ID: 33364627
[TBL] [Abstract][Full Text] [Related]
16. Constraint-Based Unsupervised Domain Adaptation Network for Multi-Modality Cardiac Image Segmentation.
Du X; Liu Y
IEEE J Biomed Health Inform; 2022 Jan; 26(1):67-78. PubMed ID: 34757915
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation.
Xu X; Chen Y; Wu J; Lu J; Ye Y; Huang Y; Dou X; Li K; Wang G; Zhang S; Gong W
Med Image Anal; 2023 Aug; 88():102873. PubMed ID: 37421932
[TBL] [Abstract][Full Text] [Related]
19. A Disentangled Representations based Unsupervised Deformable Framework for Cross-modality Image Registration.
Wu J; Zhou S
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3531-3534. PubMed ID: 34892001
[TBL] [Abstract][Full Text] [Related]
20. Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure.
Liu J; Liu H; Gong S; Tang Z; Xie Y; Yin H; Niyoyita JP
Med Image Anal; 2021 Aug; 72():102135. PubMed ID: 34182202
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
