139 related articles for article (PubMed ID: 38310678)
1. Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data.
Xu Z; Lu D; Luo J; Zheng Y; Tong RK
Med Image Anal; 2024 Apr; 93():103095. PubMed ID: 38310678
[TBL] [Abstract][Full Text] [Related]
2. Synergistic Label-Stability Learning for Semi-supervised Left Atrium Segmentation.
Xu Z; Tong RK
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083192
[TBL] [Abstract][Full Text] [Related]
3. MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation.
Chen G; Ru J; Zhou Y; Rekik I; Pan Z; Liu X; Lin Y; Lu B; Shi J
Neuroimage; 2021 Dec; 244():118568. PubMed ID: 34508895
[TBL] [Abstract][Full Text] [Related]
4. Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation.
Xiao Z; Su Y; Deng Z; Zhang W
Comput Methods Programs Biomed; 2022 Nov; 226():107099. PubMed ID: 36116398
[TBL] [Abstract][Full Text] [Related]
5. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Chaitanya K; Erdil E; Karani N; Konukoglu E
Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
[TBL] [Abstract][Full Text] [Related]
6. MDT: semi-supervised medical image segmentation with mixup-decoupling training.
Long J; Ren Y; Yang C; Ren P; Zeng Z
Phys Med Biol; 2024 Mar; 69(6):. PubMed ID: 38324897
[No Abstract] [Full Text] [Related]
7. STAMP: A Self-training Student-Teacher Augmentation-Driven Meta Pseudo-Labeling Framework for 3D Cardiac MRI Image Segmentation.
Hasan SMK; Linte C
Med Image Underst Anal (2022); 2022; 13413():371-386. PubMed ID: 37126464
[TBL] [Abstract][Full Text] [Related]
8. Semi-TMS: an efficient regularization-oriented triple-teacher semi-supervised medical image segmentation model.
Chen W; Zhou S; Liu X; Chen Y
Phys Med Biol; 2023 Oct; 68(20):. PubMed ID: 37699409
[No Abstract] [Full Text] [Related]
9. 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]
10. All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.
Xu Z; Wang Y; Lu D; Yu L; Yan J; Luo J; Ma K; Zheng Y; Tong RK
IEEE J Biomed Health Inform; 2022 Jul; 26(7):3174-3184. PubMed ID: 35324450
[TBL] [Abstract][Full Text] [Related]
11. Voxel-wise adversarial semi-supervised learning for medical image segmentation.
Lee CE; Park H; Shin YG; Chung M
Comput Biol Med; 2022 Nov; 150():106152. PubMed ID: 36208595
[TBL] [Abstract][Full Text] [Related]
12. Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation.
He A; Li T; Yan J; Wang K; Fu H
IEEE Trans Med Imaging; 2024 May; 43(5):1715-1726. PubMed ID: 38153819
[TBL] [Abstract][Full Text] [Related]
13. Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation.
Zhang Y; Jiao R; Liao Q; Li D; Zhang J
Artif Intell Med; 2023 Apr; 138():102476. PubMed ID: 36990583
[TBL] [Abstract][Full Text] [Related]
14. Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.
Wang K; Zhan B; Zu C; Wu X; Zhou J; Zhou L; Wang Y
Med Image Anal; 2022 Jul; 79():102447. PubMed ID: 35509136
[TBL] [Abstract][Full Text] [Related]
15. Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning.
Hasan SMK; Linte CA
Appl Sci (Basel); 2022 Dec; 12(23):. PubMed ID: 37125242
[TBL] [Abstract][Full Text] [Related]
16. Federated 3D multi-organ segmentation with partially labeled and unlabeled data.
Zheng Z; Hayashi Y; Oda M; Kitasaka T; Misawa K; Mori K
Int J Comput Assist Radiol Surg; 2024 May; ():. PubMed ID: 38720159
[TBL] [Abstract][Full Text] [Related]
17. FaxMatch: Multi-Curriculum Pseudo-Labeling for semi-supervised medical image classification.
Peng Z; Zhang D; Tian S; Wu W; Yu L; Zhou S; Huang S
Med Phys; 2023 May; 50(5):3210-3222. PubMed ID: 36779849
[TBL] [Abstract][Full Text] [Related]
18. Semi-supervised model based on implicit neural representation and mutual learning (SIMN) for multi-center nasopharyngeal carcinoma segmentation on MRI.
Han X; Chen Z; Lin G; Lv W; Zheng C; Lu W; Sun Y; Lu L
Comput Biol Med; 2024 Jun; 175():108368. PubMed ID: 38663351
[TBL] [Abstract][Full Text] [Related]
19. HPFG: semi-supervised medical image segmentation framework based on hybrid pseudo-label and feature-guiding.
Li F; Jiang A; Li M; Xiao C; Ji W
Med Biol Eng Comput; 2024 Feb; 62(2):405-421. PubMed ID: 37875739
[TBL] [Abstract][Full Text] [Related]
20. Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation.
Zhang S; Zhang J; Tian B; Lukasiewicz T; Xu Z
Med Image Anal; 2023 Jan; 83():102656. PubMed ID: 36327656
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
