Výsledky vyhľadávania - "Cycle GAN"

COMPARISON OF POROSITY PREDICTION FROM SEISMIC DATA IN THE F3 BLOCK, NETHERLANDS USING MACHINE LEARNING

Autori: Nurwijayanto Prabowo, Urip Sudarmaji, Sudarmaji Setyowiyoto, Jarot a ďalší

Zdroj: Rudarsko-geološko-naftni Zbornik, Vol 40, Iss 2, Pp 15-26 (2025)
Rudarsko-geološko-naftni zbornik
Volume 40
Issue 2

Predmety: closed-loop, QE1-996.5, machine learning, porosity, Mining engineering. Metallurgy, cycle-GAN, poroznost, TN1-997, Geology, strojno učenje, zatvorena petlja, ciklički GAN

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/625caeb36b1b4c1c96dc5512aa472988
https://hrcak.srce.hr/330708
https://doi.org/10.17794/rgn.2025.2.2

Diabetic Retinopathy Screening within Unlabeled Dataset Based on Least Squares Cycle-GAN Domain Transfer

Autori: Sadok, Zineb Akil, Mohamed Kachouri, Rostom a ďalší

Prispievatelia: Sadok, Zineb Akil, Mohamed Kachouri, Rostom a ďalší

Zdroj: 2024 IEEE Thirteenth International Conference on Image Processing Theory, Tools and Applications (IPTA). :1-7

Predmety: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Domain Transfer, Cycle-GAN, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Unlabeled Dataset, Diabetic Retinopathy Grading, Retinal image, Generative Adversarial Network

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.u-pec.fr/hal-04813357v1

Advanced 3D Artistic Image Generation with VAE-SDFCycleGAN

Autori: Dorcas Oladayo Esan Pius Adewale Owolawi Chunling Tu

Zdroj: Journal of Information Systems and Informatics, Vol 6, Iss 4, Pp 2508-2524 (2024)

Predmety: 3d image, variational autoencoder, cycle gan, artistic image, signed distance function, Electronic computers. Computer science, QA1-939, QA75.5-76.95, Mathematics

Prístupová URL adresa: https://doaj.org/article/0f28086a19ea4ef4b58f458f796a6416

Dopaminergic PET to SPECT domain adaptation: a cycle GAN translation approach

Autori: Leonor Lopes Fangyang Jiao Song Xue a ďalší

Zdroj: Eur J Nucl Med Mol Imaging
European journal of nuclear medicine and molecular imaging 52(3), 851-863 (2025). doi:10.1007/s00259-024-06961-x

Predmety: Male, Dopamine, Female [MeSH], Parkinson Disease/metabolism [MeSH], Domain adaptation, Aged [MeSH], Deep Learning [MeSH], Humans [MeSH], Tomography, Emission-Computed, Single-Photon/methods [MeSH], Cycle GAN, Middle Aged [MeSH], Image Processing, Computer-Assisted/methods [MeSH], Original Article, Positron-Emission Tomography/methods [MeSH], CFT PET, FP-CIT SPECT, Parkinson Disease/diagnostic imaging [MeSH], Dopamine/metabolism [MeSH], Male [MeSH], Dopamine Plasma Membrane Transport Proteins/metabolism [MeSH], Tropanes [MeSH], Parkinson's disease, metabolism [Parkinson Disease], 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Parkinsonian Disorders, methods [Image Processing, Computer-Assisted], diagnostic imaging [Parkinson Disease], Image Processing, Computer-Assisted, Humans, ddc:610, metabolism [Dopamine], Aged, Tomography, Emission-Computed, Single-Photon, Dopamine Plasma Membrane Transport Proteins, methods [Positron-Emission Tomography], Parkinson Disease, Middle Aged, ddc, Positron-Emission Tomography, metabolism [Dopamine Plasma Membrane Transport Proteins], Female, methods [Tomography, Emission-Computed, Single-Photon], 2-carbomethoxy-8-(3-fluoropropyl)-3-(4-iodophenyl)tropane, Tropanes

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39557690
https://pub.dzne.de/record/276157
https://repository.publisso.de/resource/frl:6522619
https://epub.ub.uni-muenchen.de/123330/
https://mediatum.ub.tum.de/1769830

Application research of sample data generation based on improved Cycle-GAN in intrusion detection

Autori: ZENG Qingpeng GUO Hangkai

Zdroj: 网络与信息安全学报, Vol 11, Pp 87-101 (2025)

Predmety: intrusion detection, graph data transformation, Cycle-GAN, sample data generation, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2025019; https://doaj.org/toc/2096-109X

Prístupová URL adresa: https://doaj.org/article/d1322ce922254b56b85b0e9b3f3ecc2c

Adaptation de Domaine pour la Détection de Boiterie à partir de Vidéos Non Annotées

Autori: Sadok, Zineb Kachouri, Rostom Akil, Mohamed a ďalší

Prispievatelia: Sadok, Zineb Kachouri, Rostom Akil, Mohamed a ďalší

Predmety: Vidéo non annotées, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Anomalies locomotrices, Least Squares Cycle-GAN, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Adaptation de domaine, Boiterie, [INFO] Computer Science [cs]

Prístupová URL adresa: https://hal.u-pec.fr/hal-05269854v1

Chronic lymphocytic leukemia (CLL) screening and abnormality detection based on multi-layer fluorescence imaging signal enhancement and compensation

Autori: Lemin Shi Ping Gong Mingye Li a ďalší

Zdroj: Journal of Cancer Research and Clinical Oncology, Vol 151, Iss 3, Pp 1-12 (2025)

Predmety: Fluorescence in situ hybridization (FISH), feature enhancement, cyclic generative adversarial network (Cycle-GAN), cancer screening, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1432-1335

Prístupová URL adresa: https://doaj.org/article/dff6842f8bb5429d853d84ce4c27829c

Multispectral Image Caption Unification Using Diffusion and Cycle GAN Models

Autori: Kursat Komurcu Linas Petkevicius

Zdroj: IEEE Access, Vol 13, Pp 193708-193718 (2025)

Predmety: Cycle GAN, data synthesis, image-to-image translation, multispectral imagery, remote sensing, sentinel-2, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11242103/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/65e528ae0b554daeb6c1597e376e9ddb

Convolutional Neural Network for Detecting Deepfake Palmprint Images

Autori: Tsai Min-Jen Chang Cheng-Tao

Zdroj: IEEE Access, Vol 12, Pp 103405-103418 (2024)

Predmety: Deepfake detection, Wasserstein GAN, 0202 electrical engineering, electronic engineering, information engineering, convolutional neural network, cycle GAN, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, generative adversarial networks, TK1-9971

Prístupová URL adresa: https://doaj.org/article/0c06efc1c0354c8ab9bb1851493ba704

Federated Deep Learning for Monkeypox Disease Detection on GAN-Augmented Dataset

Autori: Dipanjali Kundu Md. Mahbubur Rahman Anichur Rahman a ďalší

Zdroj: IEEE Access, Vol 12, Pp 32819-32829 (2024)

Predmety: convolution neural network, WHO, federated learning, deep neural network, 0202 electrical engineering, electronic engineering, information engineering, monkeypox detection, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Cycle GAN, TK1-9971, 3. Good health

Prístupová URL adresa: https://doaj.org/article/f1ca56ccf4e04bcba32770949dd158fe

Seamless global daily soil moisture mapping using deep learning based spatiotemporal fusion

Autori: Menghui Jiang Tian Qiu Ting Wang a ďalší

Zdroj: International Journal of Applied Earth Observations and Geoinformation, Vol 139, Iss , Pp 104517- (2025)

Predmety: Soil moisture, Seamless reconstruction, Spatiotemporal fusion, deep residual cycle GAN, Physical geography, GB3-5030, Environmental sciences, GE1-350

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1569843225001645; https://doaj.org/toc/1569-8432

Prístupová URL adresa: https://doaj.org/article/994ed766f269448ebcee059d8391eae6

DSCONV-GAN: a UAV-BASED model for Verticillium Wilt disease detection in Chinese cabbage in complex growing environments

Autori: Jun Zhang Dongfang Zhang Jingyan Liu a ďalší

Zdroj: Plant Methods, Vol 20, Iss 1, Pp 1-15 (2024)

Predmety: Unmanned aerial vehicle, Cycle-GAN, Disease detection, Precision agriculture, Chinese cabbage, Plant culture, SB1-1110, Biology (General), QH301-705.5

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1746-4811

Prístupová URL adresa: https://doaj.org/article/b884b23f8fd64c2b8b5fd74c6e032532

GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models

Autori: Zotova, Daria Pinon, Nicolas Trombetta, Robin a ďalší

Prispievatelia: Zotova, Daria Pinon, Nicolas Trombetta, Robin a ďalší

Zdroj: ISSN: 0169-2607 ; Computer Methods and Programs in Biomedicine ; https://hal.science/hal-05061806 ; Computer Methods and Programs in Biomedicine, 2025, 265, pp.108727. ⟨10.1016/j.cmpb.2025.108727⟩.

Predmety: Cycle-GAN, PET MRI, Unsupervised anomaly detection, out-of-distribution (OOD), epileptogenic zone detection, Machine learning, Medical image synthesis, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]

Dostupnosť: https://hal.science/hal-05061806
https://hal.science/hal-05061806v1/document
https://hal.science/hal-05061806v1/file/main_elsevier_CMPB_review_clean.pdf
https://doi.org/10.1016/j.cmpb.2025.108727

Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14

Autori: Hage Chehade, Aya Abdallah, Nassib Marion, Jean-Marie a ďalší

Prispievatelia: Hage Chehade, Aya Abdallah, Nassib Marion, Jean-Marie a ďalší

Zdroj: ISSN: 0169-2607 ; Computer Methods and Programs in Biomedicine ; https://uco.hal.science/hal-05010314 ; Computer Methods and Programs in Biomedicine, 2025, 259, pp.108518. ⟨10.1016/j.cmpb.2024.108518⟩.

Predmety: Convolutional Block Attention Module (CBAM), Cycle GAN, K-means clustering, Deep learning, Image classification, Image preprocessing, ChestX-Ray14 dataset, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [INFO]Computer Science [cs]

Dostupnosť: https://uco.hal.science/hal-05010314
https://uco.hal.science/hal-05010314v1/document
https://uco.hal.science/hal-05010314v1/file/1-s2.0-S016926072400511X-main.pdf
https://doi.org/10.1016/j.cmpb.2024.108518

An Adaptive Cycle-GAN-Based Augmented LIME-Enabled Multi-Stage Transfer Learning Model for Improving Breast Tumor Detection Using Ultrasound Images

Autori: Neeraja Sappa Greeshma Lingam

Zdroj: Electronics ; Volume 14 ; Issue 8 ; Pages: 1571

Predmety: cycle GAN, transfer learning, LIME, breast tumor detection

Popis súboru: application/pdf

Relation: Artificial Intelligence; https://dx.doi.org/10.3390/electronics14081571

Dostupnosť: https://doi.org/10.3390/electronics14081571

Optical Coherence Tomography Image Enhancement and Layer Detection Using Cycle-GAN

Autori: Ye Eun Kim Eun Ji Lee Jung Suk Yoon a ďalší

Zdroj: Diagnostics ; Volume 15 ; Issue 3 ; Pages: 277

Predmety: optical coherence tomography (OCT), retinal nerve fiber layer (RNFL), generative adversarial networks (GANs), pix2pix, cycle-GAN

Popis súboru: application/pdf

Relation: Medical Imaging and Theranostics; https://dx.doi.org/10.3390/diagnostics15030277

Dostupnosť: https://doi.org/10.3390/diagnostics15030277

Computational Analysis of Medical Image Generation Using Generative Adversarial Networks (GANs)

Autori: Shrina Patel Makwana, Ashwin

Zdroj: Journal of Electronics, Electromedical Engineering, and Medical Informatics; Vol 7 No 3 (2025): July; 597-610 ; 2656-8632 ; 10.35882/jeeemi.v7i3

Predmety: Medical Imagine, Generative Adversarial Networks (GANs), Deep Convolutional Generative Adversarial Network (DC-GAN), Cycle Generative Adversarial Network (Cycle-GAN), Super Resolution Generative Adversarial Networks (SR-GAN)

Popis súboru: application/pdf

Relation: http://jeeemi.org/index.php/jeeemi/article/view/784/257; http://jeeemi.org/index.php/jeeemi/article/view/784

Dostupnosť: http://jeeemi.org/index.php/jeeemi/article/view/784
https://doi.org/10.35882/jeeemi.v7i3.784

Data Management and Network Architecture Effect on Performance Variability in Direct Attenuation Correction via Deep Learning for Cardiac SPECT: A Feasibility Study

Autori: Torkaman, Mahsa Yang, Jaewon Shi, Luyao a ďalší

Zdroj: IEEE Transactions on Radiation and Plasma Medical Sciences. 6(7)

Predmety: Biomedical and Clinical Sciences, Clinical Sciences, Networking and Information Technology R&D (NITRD), Biomedical Imaging, Machine Learning and Artificial Intelligence, Cardiovascular, Heart Disease, Heart Disease - Coronary Heart Disease, Attenuation correction, deep learning, hierarchical clustering, myocardial perfusion imaging, performance variability, single-photon computed tomography, t-distributed stochastic neighbor embedding, Wasserstein cycle generative adversarial network, Deep learning, Hierarchical clustering, Myocardial perfusion imaging, Performance variability, SPECT, Wasserstein cycle GAN, t-SNE

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/36f2034b
https://escholarship.org/content/qt36f2034b/qt36f2034b.pdf

Semi‐Supervised Surface Wave Tomography With Wasserstein Cycle‐Consistent GAN: Method and Application to Southern California Plate Boundary Region

Autori: Cai, Ao Qiu, Hongrui Niu, Fenglin

Zdroj: Journal of Geophysical Research: Solid Earth. 127(3)

Predmety: Surface wave, machine learning, Cycle-GAN, Geochemistry, Geology, Geophysics

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/0pz1t95d
https://escholarship.org/content/qt0pz1t95d/qt0pz1t95d.pdf

Lesion-aware generative Artificial Intelligence for virtual contrast-enhanced mammography in breast cancer

Autori: Rofena, Aurora Manchia, Arianna Piccolo, Claudia Lucia a ďalší

Zdroj: 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS) Proceedings, IEEE International Symposium on Computer-Based Medical Systems. :141-146

Predmety: Breast Cancer, CESM, Cycle GAN, FFDM, GANs, Generative AI

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-243428