1566 related articles for article (PubMed ID: 32977280)
1. High-content image generation for drug discovery using generative adversarial networks.
Hussain S; Anees A; Das A; Nguyen BP; Marzuki M; Lin S; Wright G; Singhal A
Neural Netw; 2020 Dec; 132():353-363. PubMed ID: 32977280
[TBL] [Abstract][Full Text] [Related]
2. Deep Convolutional Generative Adversarial Network (dcGAN) Models for Screening and Design of Small Molecules Targeting Cannabinoid Receptors.
Bian Y; Wang J; Jun JJ; Xie XQ
Mol Pharm; 2019 Nov; 16(11):4451-4460. PubMed ID: 31589460
[TBL] [Abstract][Full Text] [Related]
3. Image generation by GAN and style transfer for agar plate image segmentation.
Andreini P; Bonechi S; Bianchini M; Mecocci A; Scarselli F
Comput Methods Programs Biomed; 2020 Feb; 184():105268. PubMed ID: 31891902
[TBL] [Abstract][Full Text] [Related]
4. SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing.
Bargsten L; Schlaefer A
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1427-1436. PubMed ID: 32556953
[TBL] [Abstract][Full Text] [Related]
5. Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network.
Hazra D; Byun YC; Kim WJ
Comput Methods Programs Biomed; 2022 Sep; 224():107019. PubMed ID: 35878483
[TBL] [Abstract][Full Text] [Related]
6. Generative Adversarial Network for Medical Images (MI-GAN).
Iqbal T; Ali H
J Med Syst; 2018 Oct; 42(11):231. PubMed ID: 30315368
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Parallel Connected Generative Adversarial Network with Quadratic Operation for SAR Image Generation and Application for Classification.
He C; Xiong D; Zhang Q; Liao M
Sensors (Basel); 2019 Feb; 19(4):. PubMed ID: 30791500
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks.
Teramoto A; Tsukamoto T; Yamada A; Kiriyama Y; Imaizumi K; Saito K; Fujita H
PLoS One; 2020; 15(3):e0229951. PubMed ID: 32134949
[TBL] [Abstract][Full Text] [Related]
11. BrainGAN: Brain MRI Image Generation and Classification Framework Using GAN Architectures and CNN Models.
Alrashedy HHN; Almansour AF; Ibrahim DM; Hammoudeh MAA
Sensors (Basel); 2022 Jun; 22(11):. PubMed ID: 35684918
[TBL] [Abstract][Full Text] [Related]
12. Generative adversarial network based data augmentation to improve cervical cell classification model.
Yu S; Zhang S; Wang B; Dun H; Xu L; Huang X; Shi E; Feng X
Math Biosci Eng; 2021 Feb; 18(2):1740-1752. PubMed ID: 33757208
[TBL] [Abstract][Full Text] [Related]
13. Using deep learning to generate synthetic B-mode musculoskeletal ultrasound images.
Cronin NJ; Finni T; Seynnes O
Comput Methods Programs Biomed; 2020 Nov; 196():105583. PubMed ID: 32544777
[TBL] [Abstract][Full Text] [Related]
14. iEnhancer-GAN: A Deep Learning Framework in Combination with Word Embedding and Sequence Generative Adversarial Net to Identify Enhancers and Their Strength.
Yang R; Wu F; Zhang C; Zhang L
Int J Mol Sci; 2021 Mar; 22(7):. PubMed ID: 33808317
[TBL] [Abstract][Full Text] [Related]
15. Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders.
Zheng C; Xie X; Zhou K; Chen B; Chen J; Ye H; Li W; Qiao T; Gao S; Yang J; Liu J
Transl Vis Sci Technol; 2020 May; 9(2):29. PubMed ID: 32832202
[TBL] [Abstract][Full Text] [Related]
16. The power of deep learning to ligand-based novel drug discovery.
Baskin II
Expert Opin Drug Discov; 2020 Jul; 15(7):755-764. PubMed ID: 32228116
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.
Olberg S; Zhang H; Kennedy WR; Chun J; Rodriguez V; Zoberi I; Thomas MA; Kim JS; Mutic S; Green OL; Park JC
Med Phys; 2019 Sep; 46(9):4135-4147. PubMed ID: 31309586
[TBL] [Abstract][Full Text] [Related]
19. DC-AL GAN: Pseudoprogression and true tumor progression of glioblastoma multiform image classification based on DCGAN and AlexNet.
Li M; Tang H; Chan MD; Zhou X; Qian X
Med Phys; 2020 Mar; 47(3):1139-1150. PubMed ID: 31885094
[TBL] [Abstract][Full Text] [Related]
20. Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification.
Pang T; Wong JHD; Ng WL; Chan CS
Comput Methods Programs Biomed; 2021 May; 203():106018. PubMed ID: 33714900
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
