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Improving text-to-image generation with object layout guidance
Published 2022“…To evaluate the performance of our approach, we use the COCO dataset and compare it with three baseline approaches, namely, sg2im, StackGAN and AttnGAN, in terms of image quality and user evaluation. According to the obtained assessment results, our object layout guidance-based approach significantly outperforms the abovementioned baseline approaches in terms of the accuracy of semantic matching and realism of the generated images representing the story text sentences.…”
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Translation of atherosclerotic disease features onto healthy carotid ultrasound images using domain-to-domain translation
Published 2023“…<h3>Objective </h3><p dir="ltr">In this work, we evaluated a model for the translation of atherosclerotic disease features onto healthy carotid ultrasound images. </p><h3>Methods </h3><p dir="ltr">An un-paired domain-to-domain translation model – the cycle Generative Adversarial Network (cycleGAN) – was trained to translate between carotid ultrasound images of healthy arteries and images of pronounced disease. …”
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Quantitative imaging of lymph function
Published 2007“…NIR fluorescence imaging employed illumination of 780 nm excitation light (∼2 mW/cm2) and collection of 830 nm fluorescence generated from the imaging agents. …”
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MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN
Published 2023“…The results confirm that both components play significant roles in the effectiveness of MACGAN, with the discriminator ensuring adversarial training and the attention blocks effectively capturing and enhancing important image features.…”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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Evaluation of The Factors Affecting Microplastics and Nanoparticles in Plastic Water Supply Pipes
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Exploring the Transformative Potential of Generative AI in Mechanical Engineering Education
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Postprandial lipaemia 10 and 34 hours after playing football: Does playing frequency affect the response?
Published 2019“…For the 3FOOT, there was a non significant decrease in postprandial TG AUC (-2.7%; p = 0.73; 95%CI = -2.0 to 1.5; ES = 0.05) and iAUC (-17.5%; p = 0.41; 95%ci = -2.5 to 1.1; ES = 0.31) from 10 to 34 hrs, respectively. …”
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Privacy Preserving Cancellable Template Generation for Crypto-Biometric Authentication System
Published 2025“…Integrating cryptographic techniques with biometric modality has presented a dual-layered security mechanism, significantly mitigating the risk of biometric data breaches. …”
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Methylation at global LINE-1 repeats in human blood are affected by gender but not by age or natural hormone cycles
Published 2011“…In vitro results largely confirmed these findings, as neither estrogen nor dihydrotestosterone affected LINE-1 or Alu methylation in Hek293T, HUVEC, or MDA-kb2 cell lines. …”
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Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…This is achieved by mapping shell deformations and stresses to a set of images that are used to train a conditional generative adversarial network. …”
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Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
Published 2025“…Despite these developments, key fossil image processing and analysis tasks, such as segmentation and classification, still require significant user intervention, which can be labor-intensive and subject to human bias. …”
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Implementation of Deep Learning for Measurement of Penile Curvature on Real 2D Intraoperative Images
Published 2025“…A YOLOv8 model was trained to localize and crop the penile region, then a deep-learning model was employed to segment the shafts and generate binary mask images. In the final stage, a modified HRNet model was used to integrate angle error, predict four key points denoting mid-axes of the proximal and distal shaft, and then use these landmarks to calculate curvature automatically. …”
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UGA-GAN: Unified Geometry-Aware GAN for Enhanced Training and Generation of High-Dimensional Data
Published 2025“…These results highlight the potential of UGA-GAN to significantly improve high-dimensional data generation tasks in domains such as medical imaging, video generation, and 3D object synthesis. …”
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Self-Supervised Learning Powered by Synthetic Data From Diffusion Models: Application to X-Ray Images
Published 2025“…These findings underscore a significant advancement in the generation of synthetic medical images, providing a viable approach to creating realistic, biomarker-preserving datasets that ensure patient confidentiality and enable diverse applications in medical imaging.…”
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A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences
Published 2025“…<p dir="ltr">The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. …”
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Co-Branding and their Effectiveness on Memorable Experiences: With Special Reference to Luxury Hotels
Published 2025Get full text
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