144 related articles for article (PubMed ID: 36302815)
21. A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography.
Uemura T; Näppi JJ; Ryu Y; Watari C; Kamiya T; Yoshida H
Int J Comput Assist Radiol Surg; 2021 Jan; 16(1):81-89. PubMed ID: 33150471
[TBL] [Abstract][Full Text] [Related]
22. Deep learning based adaptive sequential data augmentation technique for the optical network traffic synthesis.
Li J; Wang D; Li S; Zhang M; Song C; Chen X
Opt Express; 2019 Jun; 27(13):18831-18847. PubMed ID: 31252819
[TBL] [Abstract][Full Text] [Related]
23. Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN.
Guan Q; Chen Y; Wei Z; Heidari AA; Hu H; Yang XH; Zheng J; Zhou Q; Chen H; Chen F
Comput Biol Med; 2022 Jun; 145():105444. PubMed ID: 35421795
[TBL] [Abstract][Full Text] [Related]
24. Deep Learning Based One-Class Detection System for Fake Faces Generated by GAN Network.
Li S; Dutta V; He X; Matsumaru T
Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298117
[TBL] [Abstract][Full Text] [Related]
25. Generating bulk RNA-Seq gene expression data based on generative deep learning models and utilizing it for data augmentation.
Wang Y; Chen Q; Shao H; Zhang R; Shen H
Comput Biol Med; 2024 Feb; 169():107828. PubMed ID: 38101117
[TBL] [Abstract][Full Text] [Related]
26. Improving CBCT quality to CT level using deep learning with generative adversarial network.
Zhang Y; Yue N; Su MY; Liu B; Ding Y; Zhou Y; Wang H; Kuang Y; Nie K
Med Phys; 2021 Jun; 48(6):2816-2826. PubMed ID: 33259647
[TBL] [Abstract][Full Text] [Related]
27. Optimized automated cardiac MR scar quantification with GAN-based data augmentation.
Lustermans DRPRM; Amirrajab S; Veta M; Breeuwer M; Scannell CM
Comput Methods Programs Biomed; 2022 Nov; 226():107116. PubMed ID: 36148718
[TBL] [Abstract][Full Text] [Related]
28. AI-driven deep convolutional neural networks for chest X-ray pathology identification.
Albahli S; Ahmad Hassan Yar GN
J Xray Sci Technol; 2022; 30(2):365-376. PubMed ID: 35068415
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networks for Data Augmentation.
Lorencin I; Baressi Šegota S; Anđelić N; Mrzljak V; Ćabov T; Španjol J; Car Z
Biology (Basel); 2021 Feb; 10(3):. PubMed ID: 33652727
[TBL] [Abstract][Full Text] [Related]
31. Generative Adversarial Networks for Robust Breast Cancer Prognosis Prediction with Limited Data Size.
Hsu TC; Lin C
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():5669-5672. PubMed ID: 33019263
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives.
Pan T; Chen J; Zhang T; Liu S; He S; Lv H
ISA Trans; 2022 Sep; 128(Pt B):1-10. PubMed ID: 34953580
[TBL] [Abstract][Full Text] [Related]
34. Construction of Sports Training Performance Prediction Model Based on a Generative Adversarial Deep Neural Network Algorithm.
Li G
Comput Intell Neurosci; 2022; 2022():1211238. PubMed ID: 35637721
[TBL] [Abstract][Full Text] [Related]
35. Improving Speech Emotion Recognition With Adversarial Data Augmentation Network.
Yi L; Mak MW
IEEE Trans Neural Netw Learn Syst; 2022 Jan; 33(1):172-184. PubMed ID: 33035171
[TBL] [Abstract][Full Text] [Related]
36. Seismic Data Augmentation Based on Conditional Generative Adversarial Networks.
Li Y; Ku B; Zhang S; Ahn JK; Ko H
Sensors (Basel); 2020 Nov; 20(23):. PubMed ID: 33266072
[TBL] [Abstract][Full Text] [Related]
37. Image denoising by transfer learning of generative adversarial network for dental CT.
Hegazy MAA; Cho MH; Lee SY
Biomed Phys Eng Express; 2020 Sep; 6(5):055024. PubMed ID: 33444255
[TBL] [Abstract][Full Text] [Related]
38. Deepfakes in Ophthalmology: Applications and Realism of Synthetic Retinal Images from Generative Adversarial Networks.
Chen JS; Coyner AS; Chan RVP; Hartnett ME; Moshfeghi DM; Owen LA; Kalpathy-Cramer J; Chiang MF; Campbell JP
Ophthalmol Sci; 2021 Dec; 1(4):100079. PubMed ID: 36246951
[TBL] [Abstract][Full Text] [Related]
39. Classification of focal liver lesions in CT images using convolutional neural networks with lesion information augmented patches and synthetic data augmentation.
Lee H; Lee H; Hong H; Bae H; Lim JS; Kim J
Med Phys; 2021 Sep; 48(9):5029-5046. PubMed ID: 34287951
[TBL] [Abstract][Full Text] [Related]
40. Improvement diagnostic accuracy of sinusitis recognition in paranasal sinus X-ray using multiple deep learning models.
Kim HG; Lee KM; Kim EJ; Lee JS
Quant Imaging Med Surg; 2019 Jun; 9(6):942-951. PubMed ID: 31367548
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]