154 related articles for article (PubMed ID: 33607514)
1. 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]
2. Evaluation of multislice inputs to convolutional neural networks for medical image segmentation.
Vu MH; Grimbergen G; Nyholm T; Löfstedt T
Med Phys; 2020 Dec; 47(12):6216-6231. PubMed ID: 33169365
[TBL] [Abstract][Full Text] [Related]
3. 3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks.
Zhang X; Hu Y; Chen W; Huang G; Nie S
J Zhejiang Univ Sci B; 2021 Jun; 22(6):462-475. PubMed ID: 34128370
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 3D convolutional neural networks for tumor segmentation using long-range 2D context.
Mlynarski P; Delingette H; Criminisi A; Ayache N
Comput Med Imaging Graph; 2019 Apr; 73():60-72. PubMed ID: 30889541
[TBL] [Abstract][Full Text] [Related]
6. Evolutionary Deep Attention Convolutional Neural Networks for 2D and 3D Medical Image Segmentation.
Hassanzadeh T; Essam D; Sarker R
J Digit Imaging; 2021 Dec; 34(6):1387-1404. PubMed ID: 34729668
[TBL] [Abstract][Full Text] [Related]
7. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
Burton W; Myers C; Rullkoetter P
Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
[TBL] [Abstract][Full Text] [Related]
10. Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images.
Gu L; Cai XC
Artif Intell Med; 2021 Nov; 121():102189. PubMed ID: 34763804
[TBL] [Abstract][Full Text] [Related]
11. Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.
Lucena O; Souza R; Rittner L; Frayne R; Lotufo R
Artif Intell Med; 2019 Jul; 98():48-58. PubMed ID: 31521252
[TBL] [Abstract][Full Text] [Related]
12. Holistic decomposition convolution for effective semantic segmentation of medical volume images.
Zeng G; Zheng G
Med Image Anal; 2019 Oct; 57():149-164. PubMed ID: 31302511
[TBL] [Abstract][Full Text] [Related]
13. DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
Wachinger C; Reuter M; Klein T
Neuroimage; 2018 Apr; 170():434-445. PubMed ID: 28223187
[TBL] [Abstract][Full Text] [Related]
14. Boundary-aware context neural network for medical image segmentation.
Wang R; Chen S; Ji C; Fan J; Li Y
Med Image Anal; 2022 May; 78():102395. PubMed ID: 35231851
[TBL] [Abstract][Full Text] [Related]
15. 3D-MASNet: 3D mixed-scale asymmetric convolutional segmentation network for 6-month-old infant brain MR images.
Zeng Z; Zhao T; Sun L; Zhang Y; Xia M; Liao X; Zhang J; Shen D; Wang L; He Y
Hum Brain Mapp; 2023 Mar; 44(4):1779-1792. PubMed ID: 36515219
[TBL] [Abstract][Full Text] [Related]
16. An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images.
Li H; Iwamoto Y; Han X; Furukawa A; Kanasaki S; Chen YW
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3309-3312. PubMed ID: 34891948
[TBL] [Abstract][Full Text] [Related]
17. CAN: Context-assisted full Attention Network for brain tissue segmentation.
Li Z; Zhang C; Zhang Y; Wang X; Ma X; Zhang H; Wu S
Med Image Anal; 2023 Apr; 85():102710. PubMed ID: 36586394
[TBL] [Abstract][Full Text] [Related]
18. Collaborative networks of transformers and convolutional neural networks are powerful and versatile learners for accurate 3D medical image segmentation.
Chen Y; Lu X; Xie Q
Comput Biol Med; 2023 Sep; 164():107228. PubMed ID: 37473563
[TBL] [Abstract][Full Text] [Related]
19. 2D to 3D Evolutionary Deep Convolutional Neural Networks for Medical Image Segmentation.
Hassanzadeh T; Essam D; Sarker R
IEEE Trans Med Imaging; 2021 Feb; 40(2):712-721. PubMed ID: 33141663
[TBL] [Abstract][Full Text] [Related]
20. Accurate and robust segmentation of neuroanatomy in T1-weighted MRI by combining spatial priors with deep convolutional neural networks.
Novosad P; Fonov V; Collins DL;
Hum Brain Mapp; 2020 Feb; 41(2):309-327. PubMed ID: 31633863
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
