131 related articles for article (PubMed ID: 34975381)
1. Generative Model of Brain Microbleeds for MRI Detection of Vascular Marker of Neurodegenerative Diseases.
Momeni S; Fazlollahi A; Lebrat L; Yates P; Rowe C; Gao Y; Liew AW; Salvado O
Front Neurosci; 2021; 15():778767. PubMed ID: 34975381
[TBL] [Abstract][Full Text] [Related]
2. Synthetic microbleeds generation for classifier training without ground truth.
Momeni S; Fazlollahi A; Yates P; Rowe C; Gao Y; Liew AW; Salvado O
Comput Methods Programs Biomed; 2021 Aug; 207():106127. PubMed ID: 34051412
[TBL] [Abstract][Full Text] [Related]
3. Generative adversarial network based synthetic data training model for lightweight convolutional neural networks.
Rather IH; Kumar S
Multimed Tools Appl; 2023 May; ():1-23. PubMed ID: 37362646
[TBL] [Abstract][Full Text] [Related]
4. Deep-Learning-Based MRI Microbleeds Detection for Cerebral Small Vessel Disease on Quantitative Susceptibility Mapping.
Xia P; Hui ES; Chua BJ; Huang F; Wang Z; Zhang H; Yu H; Lau KK; Mak HKF; Cao P
J Magn Reson Imaging; 2023 Dec; ():. PubMed ID: 38149750
[TBL] [Abstract][Full Text] [Related]
5. Conditional generative adversarial network for 3D rigid-body motion correction in MRI.
Johnson PM; Drangova M
Magn Reson Med; 2019 Sep; 82(3):901-910. PubMed ID: 31006909
[TBL] [Abstract][Full Text] [Related]
6. Improved automatic detection of herpesvirus secondary envelopment stages in electron microscopy by augmenting training data with synthetic labelled images generated by a generative adversarial network.
Shaga Devan K; Walther P; von Einem J; Ropinski T; A Kestler H; Read C
Cell Microbiol; 2021 Feb; 23(2):e13280. PubMed ID: 33073426
[TBL] [Abstract][Full Text] [Related]
7. Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning.
Liu S; Utriainen D; Chai C; Chen Y; Wang L; Sethi SK; Xia S; Haacke EM
Neuroimage; 2019 Sep; 198():271-282. PubMed ID: 31121296
[TBL] [Abstract][Full Text] [Related]
8. CMB-HUNT: Automatic detection of cerebral microbleeds using a deep neural network.
Suwalska A; Wang Y; Yuan Z; Jiang Y; Zhu D; Chen J; Cui M; Chen X; Suo C; Polanska J
Comput Biol Med; 2022 Dec; 151(Pt A):106233. PubMed ID: 36370581
[TBL] [Abstract][Full Text] [Related]
9. Detecting cerebral microbleeds via deep learning with features enhancement by reusing ground truth.
Li T; Zou Y; Bai P; Li S; Wang H; Chen X; Meng Z; Kang Z; Zhou G
Comput Methods Programs Biomed; 2021 Jun; 204():106051. PubMed ID: 33831723
[TBL] [Abstract][Full Text] [Related]
10. Data Augmentation for Deep-Learning-Based Multiclass Structural Damage Detection Using Limited Information.
Dunphy K; Fekri MN; Grolinger K; Sadhu A
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015955
[TBL] [Abstract][Full Text] [Related]
11. Intraclass Image Augmentation for Defect Detection Using Generative Adversarial Neural Networks.
Sampath V; Maurtua I; Aguilar MartÃn JJ; Iriondo A; Lluvia I; Aizpurua G
Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850460
[TBL] [Abstract][Full Text] [Related]
12. Novel Approaches to Detection of Cerebral Microbleeds: Single Deep Learning Model to Achieve a Balanced Performance.
Myung MJ; Lee KM; Kim HG; Oh J; Lee JY; Shin I; Kim EJ; Lee JS
J Stroke Cerebrovasc Dis; 2021 Sep; 30(9):105886. PubMed ID: 34175642
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning.
Morrison MA; Payabvash S; Chen Y; Avadiappan S; Shah M; Zou X; Hess CP; Lupo JM
Neuroimage Clin; 2018; 20():498-505. PubMed ID: 30140608
[TBL] [Abstract][Full Text] [Related]
15. Detecting brain lesions in suspected acute ischemic stroke with CT-based synthetic MRI using generative adversarial networks.
Hu N; Zhang T; Wu Y; Tang B; Li M; Song B; Gong Q; Wu M; Gu S; Lui S
Ann Transl Med; 2022 Jan; 10(2):35. PubMed ID: 35282087
[TBL] [Abstract][Full Text] [Related]
16. Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning.
Sundaresan V; Arthofer C; Zamboni G; Dineen RA; Rothwell PM; Sotiropoulos SN; Auer DP; Tozer DJ; Markus HS; Miller KL; Dragonu I; Sprigg N; Alfaro-Almagro F; Jenkinson M; Griffanti L
Front Neuroinform; 2021; 15():777828. PubMed ID: 35126079
[TBL] [Abstract][Full Text] [Related]
17. AI Radar Sensor: Creating Radar Depth Sounder Images Based on Generative Adversarial Network.
Rahnemoonfar M; Johnson J; Paden J
Sensors (Basel); 2019 Dec; 19(24):. PubMed ID: 31842359
[TBL] [Abstract][Full Text] [Related]
18. AI4AVP: an antiviral peptides predictor in deep learning approach with generative adversarial network data augmentation.
Lin TT; Sun YY; Wang CT; Cheng WC; Lu IH; Lin CY; Chen SH
Bioinform Adv; 2022; 2(1):vbac080. PubMed ID: 36699402
[TBL] [Abstract][Full Text] [Related]
19. Improving Skin Cancer Classification Using Heavy-Tailed Student T-Distribution in Generative Adversarial Networks (TED-GAN).
Ahmad B; Jun S; Palade V; You Q; Mao L; Zhongjie M
Diagnostics (Basel); 2021 Nov; 11(11):. PubMed ID: 34829494
[TBL] [Abstract][Full Text] [Related]
20. Automated detection of cerebral microbleeds on MR images using knowledge distillation framework.
Sundaresan V; Arthofer C; Zamboni G; Murchison AG; Dineen RA; Rothwell PM; Auer DP; Wang C; Miller KL; Tendler BC; Alfaro-Almagro F; Sotiropoulos SN; Sprigg N; Griffanti L; Jenkinson M
Front Neuroinform; 2023; 17():1204186. PubMed ID: 37492242
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
