587 related articles for article (PubMed ID: 29729006)
1. Improving resolution of MR images with an adversarial network incorporating images with different contrast.
Kim KH; Do WJ; Park SH
Med Phys; 2018 Jul; 45(7):3120-3131. PubMed ID: 29729006
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Tajbakhsh N; Shin JY; Gurudu SR; Hurst RT; Kendall CB; Gotway MB; Jianming Liang
IEEE Trans Med Imaging; 2016 May; 35(5):1299-1312. PubMed ID: 26978662
[TBL] [Abstract][Full Text] [Related]
4. Deep learning for World Health Organization grades of pancreatic neuroendocrine tumors on contrast-enhanced magnetic resonance images: a preliminary study.
Gao X; Wang X
Int J Comput Assist Radiol Surg; 2019 Nov; 14(11):1981-1991. PubMed ID: 31555998
[TBL] [Abstract][Full Text] [Related]
5. High-performance rapid MR parameter mapping using model-based deep adversarial learning.
Liu F; Kijowski R; Feng L; El Fakhri G
Magn Reson Imaging; 2020 Dec; 74():152-160. PubMed ID: 32980503
[TBL] [Abstract][Full Text] [Related]
6. MR-based synthetic CT generation using a deep convolutional neural network method.
Han X
Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
[TBL] [Abstract][Full Text] [Related]
7. Brain tumor classification for MRI images using dual-discriminator conditional generative adversarial network.
Selvi T K; Sumaiya Begum A; Poonkuzhali P; Aarthi R
Electromagn Biol Med; 2024 Apr; 43(1-2):81-94. PubMed ID: 38461438
[TBL] [Abstract][Full Text] [Related]
8. Reconstruction of multicontrast MR images through deep learning.
Do WJ; Seo S; Han Y; Ye JC; Choi SH; Park SH
Med Phys; 2020 Mar; 47(3):983-997. PubMed ID: 31889314
[TBL] [Abstract][Full Text] [Related]
9. Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection.
Kim J; Kim J; Jang GJ; Lee M
Neural Netw; 2017 Mar; 87():109-121. PubMed ID: 28110106
[TBL] [Abstract][Full Text] [Related]
10. A novel MRI segmentation method using CNN-based correction network for MRI-guided adaptive radiotherapy.
Fu Y; Mazur TR; Wu X; Liu S; Chang X; Lu Y; Li HH; Kim H; Roach MC; Henke L; Yang D
Med Phys; 2018 Nov; 45(11):5129-5137. PubMed ID: 30269345
[TBL] [Abstract][Full Text] [Related]
11. Rapid 2D
Baker RR; Muthurangu V; Rega M; Walsh SB; Steeden JA
Magn Reson Imaging; 2024 Jul; 110():184-194. PubMed ID: 38642779
[TBL] [Abstract][Full Text] [Related]
12. Synthesizing high-resolution magnetic resonance imaging using parallel cycle-consistent generative adversarial networks for fast magnetic resonance imaging.
Xie H; Lei Y; Wang T; Roper J; Dhabaan AH; Bradley JD; Liu T; Mao H; Yang X
Med Phys; 2022 Jan; 49(1):357-369. PubMed ID: 34821395
[TBL] [Abstract][Full Text] [Related]
13. Deep Convolutional Neural Networks for breast cancer screening.
Chougrad H; Zouaki H; Alheyane O
Comput Methods Programs Biomed; 2018 Apr; 157():19-30. PubMed ID: 29477427
[TBL] [Abstract][Full Text] [Related]
14. A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images.
Banzato T; Bernardini M; Cherubini GB; Zotti A
BMC Vet Res; 2018 Oct; 14(1):317. PubMed ID: 30348148
[TBL] [Abstract][Full Text] [Related]
15. KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images.
Eo T; Jun Y; Kim T; Jang J; Lee HJ; Hwang D
Magn Reson Med; 2018 Nov; 80(5):2188-2201. PubMed ID: 29624729
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Generative Adversarial Networks for Noise Reduction in Low-Dose CT.
Wolterink JM; Leiner T; Viergever MA; Isgum I
IEEE Trans Med Imaging; 2017 Dec; 36(12):2536-2545. PubMed ID: 28574346
[TBL] [Abstract][Full Text] [Related]
18. MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.
Zhang Q; Ruan G; Yang W; Liu Y; Zhao K; Feng Q; Chen W; Wu EX; Feng Y
Magn Reson Med; 2019 Dec; 82(6):2133-2145. PubMed ID: 31373061
[TBL] [Abstract][Full Text] [Related]
19. An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification.
Kumar A; Kim J; Lyndon D; Fulham M; Feng D
IEEE J Biomed Health Inform; 2017 Jan; 21(1):31-40. PubMed ID: 28114041
[TBL] [Abstract][Full Text] [Related]
20. Brain tumor classification for MR images using transfer learning and fine-tuning.
Swati ZNK; Zhao Q; Kabir M; Ali F; Ali Z; Ahmed S; Lu J
Comput Med Imaging Graph; 2019 Jul; 75():34-46. PubMed ID: 31150950
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
