180 related articles for article (PubMed ID: 37386097)
61. Generative Adversarial Network (Generative Artificial Intelligence) in Pediatric Radiology: A Systematic Review.
Ng CKC
Children (Basel); 2023 Aug; 10(8):. PubMed ID: 37628371
[TBL] [Abstract][Full Text] [Related]
62. Advanced Machine Learning-Based Analytics on COVID-19 Data Using Generative Adversarial Networks.
Vijay Kumar J; Harshavardhan A; Bhukya H; Krishna Prasad AV
Mater Today Proc; 2020 Oct; ():. PubMed ID: 33078094
[TBL] [Abstract][Full Text] [Related]
63. Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images.
Acar E; Şahin E; Yılmaz İ
Neural Comput Appl; 2021; 33(24):17589-17609. PubMed ID: 34345118
[TBL] [Abstract][Full Text] [Related]
64. Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal Study.
Haubold J; Jost G; Theysohn JM; Ludwig JM; Li Y; Kleesiek J; Schaarschmidt BM; Forsting M; Nensa F; Pietsch H; Hosch R
Invest Radiol; 2022 Oct; 57(10):696-703. PubMed ID: 35438659
[TBL] [Abstract][Full Text] [Related]
65. Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images.
Yang Y; Chen Q; Li Y; Wang F; Han XH; Iwamoto Y; Liu J; Lin L; Hu H; Chen YW
IEEE J Biomed Health Inform; 2024 May; PP():. PubMed ID: 38768004
[TBL] [Abstract][Full Text] [Related]
66. Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms.
Beuque MPL; Lobbes MBI; van Wijk Y; Widaatalla Y; Primakov S; Majer M; Balleyguier C; Woodruff HC; Lambin P
Radiology; 2023 Jun; 307(5):e221843. PubMed ID: 37338353
[TBL] [Abstract][Full Text] [Related]
67. Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images.
Xu IRL; Van Booven DJ; Goberdhan S; Breto A; Porto J; Alhusseini M; Algohary A; Stoyanova R; Punnen S; Mahne A; Arora H
J Pers Med; 2023 Mar; 13(3):. PubMed ID: 36983728
[TBL] [Abstract][Full Text] [Related]
68. Generative models improve radiomics reproducibility in low dose CTs: a simulation study.
Chen J; Zhang C; Traverso A; Zhovannik I; Dekker A; Wee L; Bermejo I
Phys Med Biol; 2021 Aug; 66(16):. PubMed ID: 34289463
[TBL] [Abstract][Full Text] [Related]
69. Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration.
Burlina PM; Joshi N; Pacheco KD; Liu TYA; Bressler NM
JAMA Ophthalmol; 2019 Mar; 137(3):258-264. PubMed ID: 30629091
[TBL] [Abstract][Full Text] [Related]
70. Prediction of prognosis in glioblastoma with radiomics features extracted by synthetic MRI images using cycle-consistent GAN.
Yoshimura H; Kawahara D; Saito A; Ozawa S; Nagata Y
Phys Eng Sci Med; 2024 Jun; ():. PubMed ID: 38884673
[TBL] [Abstract][Full Text] [Related]
71. Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method.
Yang Z; Zhao L; Wu S; Chen CY
IEEE J Biomed Health Inform; 2021 Jun; 25(6):1864-1872. PubMed ID: 33739926
[TBL] [Abstract][Full Text] [Related]
72. Synthetic cranial MRI from 3D optical surface scans using deep learning for radiation therapy treatment planning.
Douglass M; Gorayski P; Patel S; Santos A
Phys Eng Sci Med; 2023 Mar; 46(1):367-375. PubMed ID: 36752996
[TBL] [Abstract][Full Text] [Related]
73. Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks.
Ahmad B; Sun J; You Q; Palade V; Mao Z
Biomedicines; 2022 Jan; 10(2):. PubMed ID: 35203433
[TBL] [Abstract][Full Text] [Related]
74. Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A Review.
Mondal MRH; Bharati S; Podder P
Curr Med Imaging; 2021; 17(12):1403-1418. PubMed ID: 34259149
[TBL] [Abstract][Full Text] [Related]
75. A human-computer collaboration for COVID-19 differentiation: combining a radiomics model with deep learning and human auditing.
Xin X; Mo R; Shao M; Yang W; Li D; Zhang Y; Wang H; Liu B; Tian S; Chen W; Wu J; Zhu B; Zhou K; Du C; Zhang B
Ann Palliat Med; 2021 Jul; 10(7):7329-7339. PubMed ID: 34263624
[TBL] [Abstract][Full Text] [Related]
76. Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison.
Sethy PK; Behera SK; Anitha K; Pandey C; Khan MR
J Xray Sci Technol; 2021; 29(2):197-210. PubMed ID: 33492267
[TBL] [Abstract][Full Text] [Related]
77. 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]
78. Contrast-Enhanced Liver Magnetic Resonance Image Synthesis Using Gradient Regularized Multi-Modal Multi-Discrimination Sparse Attention Fusion GAN.
Jiao C; Ling D; Bian S; Vassantachart A; Cheng K; Mehta S; Lock D; Zhu Z; Feng M; Thomas H; Scholey JE; Sheng K; Fan Z; Yang W
Cancers (Basel); 2023 Jul; 15(14):. PubMed ID: 37509207
[TBL] [Abstract][Full Text] [Related]
79. QCBCT-NET for direct measurement of bone mineral density from quantitative cone-beam CT: a human skull phantom study.
Yong TH; Yang S; Lee SJ; Park C; Kim JE; Huh KH; Lee SS; Heo MS; Yi WJ
Sci Rep; 2021 Jul; 11(1):15083. PubMed ID: 34301984
[TBL] [Abstract][Full Text] [Related]
80. 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]
[Previous] [Next] [New Search]