1286 related articles for article (PubMed ID: 33905560)
1. Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks.
Chen J; Li Y; Luna LP; Chung HW; Rowe SP; Du Y; Solnes LB; Frey EC
Med Phys; 2021 Jul; 48(7):3860-3877. PubMed ID: 33905560
[TBL] [Abstract][Full Text] [Related]
2. Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001
[TBL] [Abstract][Full Text] [Related]
3. Learning low-dose CT degradation from unpaired data with flow-based model.
Liu X; Liang X; Deng L; Tan S; Xie Y
Med Phys; 2022 Dec; 49(12):7516-7530. PubMed ID: 35880375
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Automated segmentation of lesions and organs at risk on [
Yazdani E; Karamzadeh-Ziarati N; Cheshmi SS; Sadeghi M; Geramifar P; Vosoughi H; Jahromi MK; Kheradpisheh SR
Cancer Imaging; 2024 Feb; 24(1):30. PubMed ID: 38424612
[TBL] [Abstract][Full Text] [Related]
6. Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
Xu Y; Klyuzhin I; Harsini S; Ortiz A; Zhang S; Bénard F; Dodhia R; Uribe CF; Rahmim A; Lavista Ferres J
Comput Biol Med; 2023 May; 158():106882. PubMed ID: 37037147
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Uncertainty-guided cross learning via CNN and transformer for semi-supervised honeycomb lung lesion segmentation.
Zi-An Z; Xiu-Fang F; Xiao-Qiang R; Yun-Yun D
Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37988756
[No 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. Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentation.
Jun Guo B; He X; Lei Y; Harms J; Wang T; Curran WJ; Liu T; Jiang Zhang L; Yang X
Med Phys; 2020 Apr; 47(4):1775-1785. PubMed ID: 32017118
[TBL] [Abstract][Full Text] [Related]
11. Fast interactive medical image segmentation with weakly supervised deep learning method.
Girum KB; Créhange G; Hussain R; Lalande A
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1437-1444. PubMed ID: 32653985
[TBL] [Abstract][Full Text] [Related]
12. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
[TBL] [Abstract][Full Text] [Related]
13. Abdomen CT multi-organ segmentation using token-based MLP-Mixer.
Pan S; Chang CW; Wang T; Wynne J; Hu M; Lei Y; Liu T; Patel P; Roper J; Yang X
Med Phys; 2023 May; 50(5):3027-3038. PubMed ID: 36463516
[TBL] [Abstract][Full Text] [Related]
14. Learning-based automatic segmentation of arteriovenous malformations on contrast CT images in brain stereotactic radiosurgery.
Wang T; Lei Y; Tian S; Jiang X; Zhou J; Liu T; Dresser S; Curran WJ; Shu HK; Yang X
Med Phys; 2019 Jul; 46(7):3133-3141. PubMed ID: 31050804
[TBL] [Abstract][Full Text] [Related]
15. Machine-assisted interpolation algorithm for semi-automated segmentation of highly deformable organs.
Luximon DC; Abdulkadir Y; Chow PE; Morris ED; Lamb JM
Med Phys; 2022 Jan; 49(1):41-51. PubMed ID: 34783027
[TBL] [Abstract][Full Text] [Related]
16. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
17. A semi-supervised learning method of latent features based on convolutional neural networks for CT metal artifact reduction.
Shi Z; Wang N; Kong F; Cao H; Cao Q
Med Phys; 2022 Jun; 49(6):3845-3859. PubMed ID: 35322430
[TBL] [Abstract][Full Text] [Related]
18. MSFCN-multiple supervised fully convolutional networks for the osteosarcoma segmentation of CT images.
Huang L; Xia W; Zhang B; Qiu B; Gao X
Comput Methods Programs Biomed; 2017 May; 143():67-74. PubMed ID: 28391820
[TBL] [Abstract][Full Text] [Related]
19. Graph-enhanced U-Net for semi-supervised segmentation of pancreas from abdomen CT scan.
Liu S; Liang S; Huang X; Yuan X; Zhong T; Zhang Y
Phys Med Biol; 2022 Jul; 67(15):. PubMed ID: 35892477
[No Abstract] [Full Text] [Related]
20. Effectiveness of Semi-Supervised Active Learning in Automated Wound Image Segmentation.
Curti N; Merli Y; Zengarini C; Giampieri E; Merlotti A; Dall'Olio D; Marcelli E; Bianchi T; Castellani G
Int J Mol Sci; 2022 Dec; 24(1):. PubMed ID: 36614147
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
