Articles with "image generation" as a keyword



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A review on AI in PET imaging

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Published in 2022 at "Annals of Nuclear Medicine"

DOI: 10.1007/s12149-021-01710-8

Abstract: Artificial intelligence (AI) has been applied to various medical imaging tasks, such as computer-aided diagnosis. Specifically, deep learning techniques such as convolutional neural network (CNN) and generative adversarial network (GAN) have been extensively used for… read more here.

Keywords: image; image generation; deep learning; pet image ... See more keywords
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Minimum Noticeable Difference-Based Adversarial Privacy Preserving Image Generation

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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3210010

Abstract: Deep learning models are found to be vulnerable to adversarial examples, as wrong predictions can be caused by small perturbation in input for deep learning models. Most of the existing works of adversarial image generation… read more here.

Keywords: quality; image generation; privacy preserving; difference ... See more keywords
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Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation.

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Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3278673

Abstract: This work is inspired by high-definition (HD) image generation techniques. When the user's interests are viewed as different frames of varying clarity, the unclear parts of one interest frame can be clarified by other interest… read more here.

Keywords: interest; interest frame; image generation;
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EL‐GAN: Edge‐Enhanced Generative Adversarial Network for Layout‐to‐Image Generation

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Published in 2022 at "Computer Graphics Forum"

DOI: 10.1111/cgf.14687

Abstract: Although some progress has been made in the layout‐to‐image generation of complex scenes with multiple objects, object‐level generation still suffers from distortion and poor recognizability. We argue that this is caused by the lack of… read more here.

Keywords: image generation; edge enhanced; generation; layout image ... See more keywords
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Maximum a posteriori signal recovery for optical coherence tomography angiography image generation and denoising

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Published in 2021 at "Biomedical optics express"

DOI: 10.1364/boe.408903

Abstract: Optical coherence tomography angiography (OCTA) is a novel and clinically promising imaging modality to image retinal and sub-retinal vasculature. Based on repeated optical coherence tomography (OCT) scans, intensity changes are observed over time and used… read more here.

Keywords: optical coherence; coherence tomography; image; image generation ... See more keywords
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Locally controllable 2D/3D mixed display and image generation method.

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Published in 2022 at "Optics express"

DOI: 10.1364/oe.455320

Abstract: In this paper, a locally controllable two-dimensional (2D)/ three-dimensional (3D) mixed display system and corresponding image generation method are proposed. The proposed system is mainly composed of a collimating backlight module (CBM) and a light… read more here.

Keywords: display; image generation; locally controllable; generation method ... See more keywords
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Applications of artificial intelligence in nuclear medicine image generation.

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Published in 2021 at "Quantitative imaging in medicine and surgery"

DOI: 10.21037/qims-20-1078

Abstract: Recently, the application of artificial intelligence (AI) in medical imaging (including nuclear medicine imaging) has rapidly developed. Most AI applications in nuclear medicine imaging have focused on the diagnosis, treatment monitoring, and correlation analyses with… read more here.

Keywords: artificial intelligence; medicine; nuclear medicine; image ... See more keywords
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Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms

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Published in 2022 at "Cancers"

DOI: 10.3390/cancers14143442

Abstract: Simple Summary With the recent advances in the field of artificial intelligence, it has been possible to develop robust and accurate methodologies that can deliver noticeable results in different health- related areas, where the oncology… read more here.

Keywords: methodology; image generation; generation; artificial intelligence ... See more keywords
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R2D2-GAN: Unlimited Resolution Image Generation for Acoustic Data

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Published in 2021 at "Marine Technology Society Journal"

DOI: 10.4031/mtsj.55.4.11

Abstract: Abstract In this paper, we present a novel simulation technique for generating high-quality images of any predefined resolution. This method can be used to synthesize sonar scans of size equivalent to those collected during a… read more here.

Keywords: resolution; image generation; unlimited resolution; resolution image ... See more keywords
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Local and Global GANs with Semantic-Aware Upsampling for Image Generation

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Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.48550/arxiv.2203.00047

Abstract: In this paper, we address the task of semantic-guided image generation. One challenge common to most existing image-level generation methods is difficulty in generating small objects and detailed local textures. To tackle this issue, in… read more here.

Keywords: class specific; image generation; aware upsampling; generation ... See more keywords
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DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN

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Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.48550/arxiv.2203.02762

Abstract: The research topic of sketch-to-portrait generation has witnessed a boost of progress with deep learning techniques. The recently proposed StyleGAN architectures achieve state-of-the-art generation ability but the original StyleGAN is not friendly for sketch-based creation… read more here.

Keywords: image generation; portrait image; generation; spatially conditioned ... See more keywords