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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…
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Keywords:
image;
image generation;
deep learning;
pet image ... See more keywords
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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…
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Keywords:
quality;
image generation;
privacy preserving;
difference ... See more keywords
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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…
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Keywords:
interest;
interest frame;
image generation;
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2
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…
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Keywords:
image generation;
edge enhanced;
generation;
layout image ... See more keywords
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0
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…
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Keywords:
optical coherence;
coherence tomography;
image;
image generation ... See more keywords
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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…
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Keywords:
display;
image generation;
locally controllable;
generation method ... See more keywords
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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…
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Keywords:
artificial intelligence;
medicine;
nuclear medicine;
image ... See more keywords
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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…
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Keywords:
methodology;
image generation;
generation;
artificial intelligence ... See more keywords
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0
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…
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Keywords:
resolution;
image generation;
unlimited resolution;
resolution image ... See more keywords
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2
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…
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Keywords:
class specific;
image generation;
aware upsampling;
generation ... See more keywords
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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…
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Keywords:
image generation;
portrait image;
generation;
spatially conditioned ... See more keywords