Pregled po CROSBI profilu: Duje Medak (CROSBI Profil: 39078, ORCID: 0000-0001-6261-206X, OBAD: -356788)
Pronađeno 11 radova
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1.Detection of Defective Bolts from Rotational Ultrasonic Scans Using Convolutional Neural Networks // Proceedings of 2022 27th International Conference on Automation and Computing (ICAC)
Bristol, Ujedinjeno Kraljevstvo: Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 1-6 doi:10.1109/icac55051.2022.9911145 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
2.Deep learning-based methods for defect detection from ultrasound images (Metode zasnovane na dubokom učenju za detekciju defekata iz ultrazvučnih slika), 2022., doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb
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3.Deep learning-based anomaly detection from ultrasonic images // Ultrasonics, 124 (2022), 106737, 9 doi:10.1016/j.ultras.2022.106737 (međunarodna recenzija, članak, znanstveni)
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4.DefectDet: a deep learning architecture for detection of defects with extreme aspect ratios in ultrasonic images // Neurocomputing, 473 (2022), 107-115 doi:10.1016/j.neucom.2021.12.008 (međunarodna recenzija, članak, znanstveni)
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5.Deep learning-based defect detection from sequences of ultrasonic B-scans // Ieee sensors journal, 22 (2022), 3; 2456-2463 doi:10.1109/jsen.2021.3134452 (međunarodna recenzija, članak, znanstveni)
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6.Generating ultrasonic images indistinguishable from real images using Generative Adversarial Networks // Ultrasonics, 119 (2021), 106610, 10 doi:10.1016/j.ultras.2021.106610 (međunarodna recenzija, članak, znanstveni)
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7.Synthetic 3D Ultrasonic Scan Generation Using Optical Flow and Generative Adversarial Networks // 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA)
Zagreb, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 213-218 doi:10.1109/ispa52656.2021.9552069 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
8.Rapid Defect Detection by Merging Ultrasound B- scans from Different Scanning Angles // 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA)
Zagreb, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 219-224 doi:10.1109/ispa52656.2021.9552050 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
9.Automated Defect Detection from Ultrasonic Images Using Deep Learning // IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 68 (2021), 10; 3126-3134 doi:10.1109/tuffc.2021.3081750 (međunarodna recenzija, članak, znanstveni)
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10.Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans // Neurocomputing, 459 (2021), 361-369 doi:10.1016/j.neucom.2021.06.094 (međunarodna recenzija, članak, znanstveni)
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11.Flaw Detection from Ultrasonic Images using YOLO and SSD // 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA) / Lončarić, Sven ; Bregović, Robert ; Carli, Marco ; Subašić, Marko (ur.).
Dubrovnik: Institute of Electrical and Electronics Engineers (IEEE), 2019. str. 163-168 doi:10.1109/ISPA.2019.8868929 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
