BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 36449589)

  • 1. MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain.
    Yu Z; Han X; Zhang S; Feng J; Peng T; Zhang XY
    IEEE Trans Med Imaging; 2023 Apr; 42(4):1197-1209. PubMed ID: 36449589
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Learning multi-modal brain tumor segmentation from privileged semi-paired MRI images with curriculum disentanglement learning.
    Liu Z; Wei J; Li R; Zhou J
    Comput Biol Med; 2023 Jun; 159():106927. PubMed ID: 37105113
    [TBL] [Abstract][Full Text] [Related]  

  • 3. D
    Yang Q; Guo X; Chen Z; Woo PYM; Yuan Y
    IEEE Trans Med Imaging; 2022 Oct; 41(10):2953-2964. PubMed ID: 35576425
    [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. Joint learning-based feature reconstruction and enhanced network for incomplete multi-modal brain tumor segmentation.
    Diao Y; Li F; Li Z
    Comput Biol Med; 2023 Sep; 163():107234. PubMed ID: 37450967
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Bidirectional feature matching based on deep pairwise contrastive learning for multiparametric MRI image synthesis.
    Touati R; Kadoury S
    Phys Med Biol; 2023 Jun; 68(12):. PubMed ID: 37257456
    [No Abstract]   [Full Text] [Related]  

  • 9. Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities.
    Zhou T; Canu S; Vera P; Ruan S
    IEEE Trans Image Process; 2021; 30():4263-4274. PubMed ID: 33830924
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multimodal MR Synthesis via Modality-Invariant Latent Representation.
    Chartsias A; Joyce T; Giuffrida MV; Tsaftaris SA
    IEEE Trans Med Imaging; 2018 Mar; 37(3):803-814. PubMed ID: 29053447
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis.
    Chen Q; Zhang J; Meng R; Zhou L; Li Z; Feng Q; Shen D
    IEEE Trans Med Imaging; 2024 May; 43(5):1958-1971. PubMed ID: 38206779
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Representation Disentanglement for Multi-modal Brain MRI Analysis.
    Ouyang J; Adeli E; Pohl KM; Zhao Q; Zaharchuk G
    Inf Process Med Imaging; 2021 Jun; 12729():321-333. PubMed ID: 35173402
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.
    Deng M; Yu R; Wang L; Shi F; Yap PT; Shen D;
    Med Phys; 2016 Dec; 43(12):6588-6597. PubMed ID: 28054724
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A least square generative network based on invariant contrastive feature pair learning for multimodal MR image synthesis.
    Touati R; Kadoury S
    Int J Comput Assist Radiol Surg; 2023 Jun; 18(6):971-979. PubMed ID: 37103727
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.
    Li X; Dou Q; Chen H; Fu CW; Qi X; Belavý DL; Armbrecht G; Felsenberg D; Zheng G; Heng PA
    Med Image Anal; 2018 Apr; 45():41-54. PubMed ID: 29414435
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages.
    Hu D; Zhang H; Wu Z; Wang F; Wang L; Smith JK; Lin W; Li G; Shen D
    IEEE Trans Med Imaging; 2020 Dec; 39(12):4137-4149. PubMed ID: 32746154
    [TBL] [Abstract][Full Text] [Related]  

  • 17. High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans.
    Hamghalam M; Wang T; Lei B
    Neural Netw; 2020 Dec; 132():43-52. PubMed ID: 32861913
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation.
    Fang F; Yao Y; Zhou T; Xie G; Lu J
    IEEE J Biomed Health Inform; 2022 Nov; 26(11):5310-5320. PubMed ID: 34478389
    [TBL] [Abstract][Full Text] [Related]  

  • 19. VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
    Chen H; Dou Q; Yu L; Qin J; Heng PA
    Neuroimage; 2018 Apr; 170():446-455. PubMed ID: 28445774
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation.
    Li X; Jiang Y; Li M; Zhang J; Yin S; Luo H
    Med Phys; 2023 Apr; 50(4):2249-2262. PubMed ID: 35962724
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.