179 related articles for article (PubMed ID: 37386097)
21. 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]
22. 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]
23. 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]
24. Semi-Supervised Learning for Low-Dose CT Image Restoration with Hierarchical Deep Generative Adversarial Network (HD-GAN).
Choi K; Vania M; Kim S
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2683-2686. PubMed ID: 31946448
[TBL] [Abstract][Full Text] [Related]
25. Lumbar Spine Computed Tomography to Magnetic Resonance Imaging Synthesis Using Generative Adversarial Network: Visual Turing Test.
Hong KT; Cho Y; Kang CH; Ahn KS; Lee H; Kim J; Hong SJ; Kim BH; Shim E
Diagnostics (Basel); 2022 Feb; 12(2):. PubMed ID: 35204619
[TBL] [Abstract][Full Text] [Related]
26. A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.
Hu Z; Yang Z; Lafata KJ; Yin FF; Wang C
Med Phys; 2022 May; 49(5):3213-3222. PubMed ID: 35263458
[TBL] [Abstract][Full Text] [Related]
27. A Deep Learning Approach to Visualize Aortic Aneurysm Morphology Without the Use of Intravenous Contrast Agents.
Chandrashekar A; Handa A; Lapolla P; Shivakumar N; Uberoi R; Grau V; Lee R
Ann Surg; 2023 Feb; 277(2):e449-e459. PubMed ID: 33913675
[TBL] [Abstract][Full Text] [Related]
28. Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection.
Zheng C; Bian F; Li L; Xie X; Liu H; Liang J; Chen X; Wang Z; Qiao T; Yang J; Zhang M
Transl Vis Sci Technol; 2021 Apr; 10(4):34. PubMed ID: 34004012
[TBL] [Abstract][Full Text] [Related]
29. Patient-specific deep learning model to enhance 4D-CBCT image for radiomics analysis.
Zhang Z; Huang M; Jiang Z; Chang Y; Lu K; Yin FF; Tran P; Wu D; Beltran C; Ren L
Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35313293
[No Abstract] [Full Text] [Related]
30. COVID-19 diagnosis on CT scan images using a generative adversarial network and concatenated feature pyramid network with an attention mechanism.
Li Z; Zhang J; Li B; Gu X; Luo X
Med Phys; 2021 Aug; 48(8):4334-4349. PubMed ID: 34117783
[TBL] [Abstract][Full Text] [Related]
31. Generation of synthetic ground glass nodules using generative adversarial networks (GANs).
Wang Z; Zhang Z; Feng Y; Hendriks LEL; Miclea RL; Gietema H; Schoenmaekers J; Dekker A; Wee L; Traverso A
Eur Radiol Exp; 2022 Nov; 6(1):59. PubMed ID: 36447082
[TBL] [Abstract][Full Text] [Related]
32. Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures.
Wang H; Wang L; Lee EH; Zheng J; Zhang W; Halabi S; Liu C; Deng K; Song J; Yeom KW
Eur J Nucl Med Mol Imaging; 2021 May; 48(5):1478-1486. PubMed ID: 33094432
[TBL] [Abstract][Full Text] [Related]
33. Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis.
Coyner AS; Chen JS; Chang K; Singh P; Ostmo S; Chan RVP; Chiang MF; Kalpathy-Cramer J; Campbell JP;
Ophthalmol Sci; 2022 Jun; 2(2):100126. PubMed ID: 36249693
[TBL] [Abstract][Full Text] [Related]
34. Utilization of Synthetic Near-Infrared Spectra via Generative Adversarial Network to Improve Wood Stiffness Prediction.
Ali SD; Raut S; Dahlen J; Schimleck L; Bergman R; Zhang Z; Nasir V
Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544255
[TBL] [Abstract][Full Text] [Related]
35. Motion artefact reduction in coronary CT angiography images with a deep learning method.
Ren P; He Y; Zhu Y; Zhang T; Cao J; Wang Z; Yang Z
BMC Med Imaging; 2022 Oct; 22(1):184. PubMed ID: 36307787
[TBL] [Abstract][Full Text] [Related]
36. Pseudo-CT generation from multi-parametric MRI using a novel multi-channel multi-path conditional generative adversarial network for nasopharyngeal carcinoma patients.
Tie X; Lam SK; Zhang Y; Lee KH; Au KH; Cai J
Med Phys; 2020 Apr; 47(4):1750-1762. PubMed ID: 32012292
[TBL] [Abstract][Full Text] [Related]
37. Multi-domain medical image translation generation for lung image classification based on generative adversarial networks.
Chen Y; Lin Y; Xu X; Ding J; Li C; Zeng Y; Xie W; Huang J
Comput Methods Programs Biomed; 2023 Feb; 229():107200. PubMed ID: 36525713
[TBL] [Abstract][Full Text] [Related]
38. Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy Concerns.
Khosravi B; Rouzrokh P; Mickley JP; Faghani S; Larson AN; Garner HW; Howe BM; Erickson BJ; Taunton MJ; Wyles CC
J Arthroplasty; 2023 Oct; 38(10):2037-2043.e1. PubMed ID: 36535448
[TBL] [Abstract][Full Text] [Related]
39. Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images.
Motamed S; Rogalla P; Khalvati F
Inform Med Unlocked; 2021; 27():100779. PubMed ID: 34841040
[TBL] [Abstract][Full Text] [Related]
40. Compensation cycle consistent generative adversarial networks (Comp-GAN) for synthetic CT generation from MR scans with truncated anatomy.
Zhao Y; Wang H; Yu C; Court LE; Wang X; Wang Q; Pan T; Ding Y; Phan J; Yang J
Med Phys; 2023 Jul; 50(7):4399-4414. PubMed ID: 36698291
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]