458 related articles for article (PubMed ID: 31899417)
1. Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images.
Sun L; Shao W; Zhang D; Liu M
IEEE Trans Med Imaging; 2020 Jun; 39(6):2000-2012. PubMed ID: 31899417
[TBL] [Abstract][Full Text] [Related]
2. Multi-Atlas Based Methods in Brain MR Image Segmentation.
Sun L; Zhang L; Zhang DQ
Chin Med Sci J; 2019 Jun; 34(2):110-119. PubMed ID: 31315752
[TBL] [Abstract][Full Text] [Related]
3. Reliability-based robust multi-atlas label fusion for brain MRI segmentation.
Sun L; Zu C; Shao W; Guang J; Zhang D; Liu M
Artif Intell Med; 2019 May; 96():12-24. PubMed ID: 31164205
[TBL] [Abstract][Full Text] [Related]
4. Automatic labeling of MR brain images through extensible learning and atlas forests.
Xu L; Liu H; Song E; Yan M; Jin R; Hung CC
Med Phys; 2017 Dec; 44(12):6329-6340. PubMed ID: 28921541
[TBL] [Abstract][Full Text] [Related]
5. FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation.
Zhu H; Adeli E; Shi F; Shen D;
Neuroinformatics; 2020 Apr; 18(2):319-331. PubMed ID: 31898145
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. An attention-based context-informed deep framework for infant brain subcortical segmentation.
Chen L; Wu Z; Zhao F; Wang Y; Lin W; Wang L; Li G
Neuroimage; 2023 Apr; 269():119931. PubMed ID: 36746299
[TBL] [Abstract][Full Text] [Related]
8. SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.
Zhang J; Lv X; Sun Q; Zhang Q; Wei X; Liu B
Curr Med Imaging; 2020; 16(6):720-728. PubMed ID: 32723244
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Automatic brain labeling via multi-atlas guided fully convolutional networks.
Fang L; Zhang L; Nie D; Cao X; Rekik I; Lee SW; He H; Shen D
Med Image Anal; 2019 Jan; 51():157-168. PubMed ID: 30447544
[TBL] [Abstract][Full Text] [Related]
11. Inter-subject registration-based one-shot segmentation with alternating union network for cardiac MRI images.
Wang H; Li Q; Yuan Y; Zhang Z; Wang K; Zhang H
Med Image Anal; 2022 Jul; 79():102455. PubMed ID: 35453066
[TBL] [Abstract][Full Text] [Related]
12. Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.
Lian C; Zhang J; Liu M; Zong X; Hung SC; Lin W; Shen D
Med Image Anal; 2018 May; 46():106-117. PubMed ID: 29518675
[TBL] [Abstract][Full Text] [Related]
13. Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentation.
Sugino T; Roth HR; Oda M; Kin T; Saito N; Nakajima Y; Mori K
Med Phys; 2021 Nov; 48(11):7215-7227. PubMed ID: 34453333
[TBL] [Abstract][Full Text] [Related]
14. ACEnet: Anatomical context-encoding network for neuroanatomy segmentation.
Li Y; Li H; Fan Y
Med Image Anal; 2021 May; 70():101991. PubMed ID: 33607514
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. APRNet: A 3D Anisotropic Pyramidal Reversible Network With Multi-Modal Cross-Dimension Attention for Brain Tissue Segmentation in MR Images.
Zhuang Y; Liu H; Song E; Ma G; Xu X; Hung CC
IEEE J Biomed Health Inform; 2022 Feb; 26(2):749-761. PubMed ID: 34197331
[TBL] [Abstract][Full Text] [Related]
17. Deep 3D Neural Network for Brain Structures Segmentation Using Self-Attention Modules in MRI Images.
Laiton-Bonadiez C; Sanchez-Torres G; Branch-Bedoya J
Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408173
[TBL] [Abstract][Full Text] [Related]
18. Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.
Wu G; Kim M; Sanroma G; Wang Q; Munsell BC; Shen D;
Neuroimage; 2015 Feb; 106():34-46. PubMed ID: 25463474
[TBL] [Abstract][Full Text] [Related]
19. Anatomically constrained and attention-guided deep feature fusion for joint segmentation and deformable medical image registration.
Khor HG; Ning G; Sun Y; Lu X; Zhang X; Liao H
Med Image Anal; 2023 Aug; 88():102811. PubMed ID: 37245436
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
