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Detecting and quantifying spatial misalignment between longitudinal kilovoltage computed tomography (kVCT) scans of the head and neck by using convolutional neural networks (CNNs).

• Authors : Lallement, Alex (AUTHOR); Noblet, Vincent (AUTHOR); Antoni, Delphine (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; COMPUTED tomography; IMAGE registration

• Source: Technology & Health Care. 2023, Vol. 31 Issue 4, p1253-1266. 14p.

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Phylogenomics and phylogeographic model testing using convolutional neural networks reveal a history of recent admixture in the Canarian Kleinia neriifolia.

• Authors : Rincón Barrado, Mario (AUTHOR); Perez, Manolo (AUTHOR); Villaverde, Tamara (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; BIOGEOGRAPHY; GENETIC techniques

• Source: Molecular Ecology. Nov2024, Vol. 33 Issue 21, p1-20. 20p.

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Fault classification using convolutional neural networks and color channels for time-frequency analysis of acoustic emissions.

• Authors : Nashed, Mohamad S (AUTHOR); Renno, Jamil (AUTHOR); Mohamed, M Shadi (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; ACOUSTIC emission; TIME-frequency analysis

• Source: Journal of Vibration & Control. May2024, Vol. 30 Issue 9/10, p2283-2300. 18p.

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Intelligent rolling bearing compound fault diagnosis based on frequency-domain Gramian angular field and convolutional neural networks with imbalanced data.

• Authors : Zhang, Faye (AUTHOR); Yao, Peng (AUTHOR); Geng, Xiangyi (AUTHOR)

• Source: Journal of Vibration & Control. Dec2024, Vol. 30 Issue 23/24, p5522-5535. 14p.

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A comparative study to examine principal component analysis and kernel principal component analysis-based weighting layer for convolutional neural networks.

• Authors : Mehrabinezhad, Amir (AUTHOR); Teshnehlab, Mohammad (AUTHOR); Sharifi, Arash (AUTHOR)

• Source: Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation. Dec2024, Vol. 12 Issue 1, p1-12. 12p.

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Fully automatic segmentation of abdominal aortic thrombus in pre-operative CTA images using deep convolutional neural networks.

• Authors : Wang, Yonggang (AUTHOR); Zhou, Min (AUTHOR); Ding, Yong (AUTHOR)

Subjects: ARTIFICIAL neural networks; CONVOLUTIONAL neural networks; ABDOMINAL aortic aneurysms

• Source: Technology & Health Care. 2022, Vol. 30 Issue 5, p1257-1266. 10p.

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A deep learning approach for acute liver failure prediction with combined fully connected and convolutional neural networks.

• Authors : Xie, Hefu (AUTHOR); Wang, Bingbing (AUTHOR); Hong, Yuanzhen (AUTHOR)

Subjects: SIGNAL convolution; DEEP learning; CONVOLUTIONAL neural networks

• Source: Technology & Health Care. 2024Supplement, Vol. 32, p555-564. 10p.

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Lung cancer detection based on computed tomography image using convolutional neural networks.

• Authors : Ozcelik, Neslihan (AUTHOR); Kıvrak, Mehmet (AUTHOR); Kotan, Abdurrahman (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; COMPUTED tomography; LUNG cancer

• Source: Technology & Health Care. 2024, Vol. 32 Issue 3, p1795-1805. 11p.

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Fine grained automatic left ventricle segmentation via ROI based Tri-Convolutional neural networks.

• Authors : K, Gayathri (AUTHOR); N, Uma Maheswari (AUTHOR); R, Venkatesh (AUTHOR)

• Source: Technology & Health Care. 2024, Vol. 32 Issue 6, p4267-4289. 23p.

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Damage identification for steel-concrete composite beams through convolutional neural networks.

• Authors : Bilotta, Antonio (AUTHOR); Morassi, Antonino (AUTHOR); Turco, Emilio (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; STEEL-concrete composites; SET functions

• Source: Journal of Vibration & Control. Feb2024, Vol. 30 Issue 3/4, p876-889. 14p.

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