BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

2028 related articles for article (PubMed ID: 34494276)

  • 1. 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]  

  • 2. 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]  

  • 3. Region-related focal loss for 3D brain tumor MRI segmentation.
    Li B; You X; Peng Q; Wang J; Yang C
    Med Phys; 2023 Jul; 50(7):4325-4339. PubMed ID: 36708251
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.
    Jiang J; Riyahi Alam S; Chen I; Zhang P; Rimner A; Deasy JO; Veeraraghavan H
    Med Phys; 2021 Jul; 48(7):3702-3713. PubMed ID: 33905558
    [TBL] [Abstract][Full Text] [Related]  

  • 8. PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images.
    Liu D; Zhang D; Song Y; Zhang F; O'Donnell L; Huang H; Chen M; Cai W
    IEEE Trans Med Imaging; 2021 Jan; 40(1):154-165. PubMed ID: 32915732
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Unsupervised domain adaptation for nuclei segmentation: Adapting from hematoxylin & eosin stained slides to immunohistochemistry stained slides using a curriculum approach.
    Wang S; Rong R; Gu Z; Fujimoto J; Zhan X; Xie Y; Xiao G
    Comput Methods Programs Biomed; 2023 Nov; 241():107768. PubMed ID: 37619429
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Unsupervised domain adaptive segmentation algorithm based on two-level category alignment.
    Dong W; Liang Z; Wang L; Tian G; Long Q
    Neural Netw; 2024 Sep; 177():106399. PubMed ID: 38805794
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A One-Stage Domain Adaptation Network With Image Alignment for Unsupervised Nighttime Semantic Segmentation.
    Wu X; Wu Z; Ju L; Wang S
    IEEE Trans Pattern Anal Mach Intell; 2023 Jan; 45(1):58-72. PubMed ID: 34962864
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network.
    Han L; Huang Y; Dou H; Wang S; Ahamad S; Luo H; Liu Q; Fan J; Zhang J
    Comput Methods Programs Biomed; 2020 Jun; 189():105275. PubMed ID: 31978805
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. C
    Zhang Z; Li Y; Shin BS
    Med Phys; 2022 Oct; 49(10):6491-6504. PubMed ID: 35981348
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 102.