BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

405 related articles for article (PubMed ID: 35950367)

  • 1. A reciprocal learning strategy for semisupervised medical image segmentation.
    Zeng X; Huang R; Zhong Y; Xu Z; Liu Z; Wang Y
    Med Phys; 2023 Jan; 50(1):163-177. PubMed ID: 35950367
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
    Li X; Yu L; Chen H; Fu CW; Xing L; Heng PA
    IEEE Trans Neural Netw Learn Syst; 2021 Feb; 32(2):523-534. PubMed ID: 32479407
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Semisupervised 3D segmentation of pancreatic tumors in positron emission tomography/computed tomography images using a mutual information minimization and cross-fusion strategy.
    Shao M; Cheng C; Hu C; Zheng J; Zhang B; Wang T; Jin G; Liu Z; Zuo C
    Quant Imaging Med Surg; 2024 Feb; 14(2):1747-1765. PubMed ID: 38415108
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Uncertainty estimation- and attention-based semi-supervised models for automatically delineate clinical target volume in CBCT images of breast cancer.
    Wang Z; Cao N; Sun J; Zhang H; Zhang S; Ding J; Xie K; Gao L; Ni X
    Radiat Oncol; 2024 May; 19(1):66. PubMed ID: 38811994
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.
    Jiang J; Hu YC; Tyagi N; Zhang P; Rimner A; Deasy JO; Veeraraghavan H
    Med Phys; 2019 Oct; 46(10):4392-4404. PubMed ID: 31274206
    [TBL] [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. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
    Tong N; Gou S; Yang S; Ruan D; Sheng K
    Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. SUSAN: segment unannotated image structure using adversarial network.
    Liu F
    Magn Reson Med; 2019 May; 81(5):3330-3345. PubMed ID: 30536427
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sparse annotation learning for dense volumetric MR image segmentation with uncertainty estimation.
    Osman YBM; Li C; Huang W; Wang S
    Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38035374
    [No Abstract]   [Full Text] [Related]  

  • 12. Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation.
    Osman YBM; Li C; Huang W; Wang S
    J Magn Reson Imaging; 2023 Dec; ():. PubMed ID: 38156427
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation.
    Cao X; Chen H; Li Y; Peng Y; Wang S; Cheng L
    IEEE Trans Med Imaging; 2021 Jan; 40(1):431-443. PubMed ID: 33021936
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. 3D PET/CT tumor segmentation based on nnU-Net with GCN refinement.
    Xue H; Fang Q; Yao Y; Teng Y
    Phys Med Biol; 2023 Sep; 68(18):. PubMed ID: 37549672
    [No Abstract]   [Full Text] [Related]  

  • 19. Deep learning-based medical image segmentation with limited labels.
    Chi W; Ma L; Wu J; Chen M; Lu W; Gu X
    Phys Med Biol; 2020 Nov; 65(23):. PubMed ID: 33086205
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated segmentation of craniopharyngioma on MR images using U-Net-based deep convolutional neural network.
    Chen C; Zhang T; Teng Y; Yu Y; Shu X; Zhang L; Zhao F; Xu J
    Eur Radiol; 2023 Apr; 33(4):2665-2675. PubMed ID: 36396792
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.