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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3510042
Abstract: With the increasing prominence of mobile photography, capturing high-quality images in low-light conditions, especially with flash, remains a significant challenge. This study introduces innovative deep learning techniques to convert flash images into ambient images, with…
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Keywords:
ambient image;
image conversion;
style transfer;
flash ambient ... See more keywords
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Published in 2025 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v37.i1.pp111-122
Abstract: This study tackles a critical challenge in converting two-dimensional (2D) images into three-dimensional (3D) representations, focusing on the precise detection of flat surfaces. The research utilizes a triangulation method involving laser and camera systems, emphasizing…
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Keywords:
detection;
laser;
triangulation;
image conversion ... See more keywords
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Published in 2025 at "Korean Journal of Radiology"
DOI: 10.3348/kjr.2025.0177
Abstract: Objective To evaluate the impact of deep learning-based image conversion on the accuracy of automated coronary artery calcium quantification using thin-slice, sharp-kernel, non-gated, low-dose chest computed tomography (LDCT) images collected from multiple institutions. Materials and…
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Keywords:
deep learning;
image conversion;
conversion;
calcium ... See more keywords
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Published in 2023 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2023.1112652
Abstract: Background This study aims to use fundus image material from a long-term retinopathy follow-up study to identify problems created by changing imaging modalities or imaging settings (e.g., image centering, resolution, viewing angle, illumination wavelength). Investigating…
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Keywords:
icf;
retinal vessel;
image conversion;
conversion factor ... See more keywords