529 related articles for article (PubMed ID: 34182202)
1. 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]
2. RA-SIFA: Unsupervised domain adaptation multi-modality cardiac segmentation network combining parallel attention module and residual attention unit.
Yang T; Cui X; Bai X; Li L; Gong Y
J Xray Sci Technol; 2021; 29(6):1065-1078. PubMed ID: 34719432
[TBL] [Abstract][Full Text] [Related]
3. 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]
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. MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation.
Liao X; Qian Y; Chen Y; Xiong X; Wang Q; Heng PA
Comput Med Imaging Graph; 2020 Oct; 85():101785. PubMed ID: 32898732
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation.
Vesal S; Gu M; Kosti R; Maier A; Ravikumar N
IEEE Trans Med Imaging; 2021 Jul; 40(7):1838-1851. PubMed ID: 33729930
[TBL] [Abstract][Full Text] [Related]
8. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. [A generative adversarial network-based unsupervised domain adaptation method for magnetic resonance image segmentation].
Sun Y; Liu J; Sun Z; Han J; Yu N
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Dec; 39(6):1181-1188. PubMed ID: 36575088
[TBL] [Abstract][Full Text] [Related]
11. Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation.
Tomar D; Lortkipanidze M; Vray G; Bozorgtabar B; Thiran JP
IEEE Trans Med Imaging; 2021 Oct; 40(10):2926-2938. PubMed ID: 33577450
[TBL] [Abstract][Full Text] [Related]
12. An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images.
Ma Z; Wu X; Wang X; Song Q; Yin Y; Cao K; Wang Y; Zhou J
Med Phys; 2019 Dec; 46(12):5652-5665. PubMed ID: 31605627
[TBL] [Abstract][Full Text] [Related]
13. 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]
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. Unsupervised domain adaptation method for segmenting cross-sectional CCA images.
van Knippenberg L; van Sloun RJG; Mischi M; de Ruijter J; Lopata R; Bouwman RA
Comput Methods Programs Biomed; 2022 Oct; 225():107037. PubMed ID: 35907375
[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. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
Tong N; Gou S; Yang S; Cao M; Sheng K
Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
[TBL] [Abstract][Full Text] [Related]
20. Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss.
Jiang Y; Zhang S; Chi J
J Digit Imaging; 2023 Aug; 36(4):1794-1807. PubMed ID: 36856903
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
