HybridGAN: hybrid generative adversarial networks for MR image synthesis
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09387-3
Abstract: In this paper, we propose HybridGAN – a new medical MR image synthesis methods via generative adversarial learning. Specifically, our synthesizer generates MRI data in a sequential manner: first in order to improve the robustness… read more here.
Keywords: generative adversarial; image synthesis; image; hybridgan hybrid ... See more keywords
Random forest regression for magnetic resonance image synthesis
Sign Up to like & getrecommendations! Published in 2017 at "Medical Image Analysis"
DOI: 10.1016/j.media.2016.08.009
Abstract: &NA; By choosing different pulse sequences and their parameters, magnetic resonance imaging (MRI) can generate a large variety of tissue contrasts. This very flexibility, however, can yield inconsistencies with MRI acquisitions across datasets or scanning… read more here.
Keywords: image synthesis; image; magnetic resonance; image analysis ... See more keywords
2D medical image synthesis using transformer-based denoising diffusion probabilistic model
Sign Up to like & getrecommendations! Published in 2023 at "Physics in Medicine and Biology"
DOI: 10.1088/1361-6560/acca5c
Abstract: Objective. Artificial intelligence (AI) methods have gained popularity in medical imaging research. The size and scope of the training image datasets needed for successful AI model deployment does not always have the desired scale. In… read more here.
Keywords: medical image; transformer based; model; image synthesis ... See more keywords
Bidirectional feature matching based on deep pairwise contrastive learning for multiparametric MRI image synthesis.
Sign Up to like & getrecommendations! Published in 2023 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/acda78
Abstract: OBJECTIVE Multi-parametric MR image synthesis is an effective approach for several clinical applications where specific modalities may be unavailable to reach a diagnosis. While technical and practical conditions limit the acquisition of new modalities for… read more here.
Keywords: bidirectional feature; feature; synthesis; contrastive learning ... See more keywords
A State-of-the-Art Review on Image Synthesis With Generative Adversarial Networks
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DOI: 10.1109/access.2020.2982224
Abstract: Generative Adversarial Networks (GANs) have achieved impressive results in various image synthesis tasks, and are becoming a hot topic in computer vision research because of the impressive performance they achieved in various applications. In this… read more here.
Keywords: synthesis; generative adversarial; image synthesis; adversarial networks ... See more keywords
Text-Guided Sketch-to-Photo Image Synthesis
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DOI: 10.1109/access.2022.3206771
Abstract: We propose a text-guided sketch-to-image synthesis model that semantically mixes style and content features from the latent space of an inverted Generative Adversarial Network (GAN). Our goal is to synthesize plausible images from human facial… read more here.
Keywords: guided sketch; text guided; model; image synthesis ... See more keywords
Enhanced Text-to-Image Synthesis With Self-Supervision
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DOI: 10.1109/access.2023.3268869
Abstract: The task of Text-to-Image synthesis is a difficult challenge, especially when dealing with low-data regimes, where the number of training samples is limited. In order to address this challenge, the Self-Supervision Text-to-Image Generative Adversarial Networks… read more here.
Keywords: text image; self supervision; image; image synthesis ... See more keywords
PoT-GAN: Pose Transform GAN for Person Image Synthesis
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3104183
Abstract: Pose-based person image synthesis aims to generate a new image containing a person with a target pose conditioned on a source image containing a person with a specified pose. It is challenging as the target… read more here.
Keywords: image; image synthesis; person; person image ... See more keywords
Less is More: Unsupervised Mask-guided Annotated CT Image Synthesis with Minimum Manual Segmentations
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2023.3260169
Abstract: As a pragmatic data augmentation tool, data synthesis has generally returned dividends in performance for deep learning based medical image analysis. However, generating corresponding segmentation masks for synthetic medical images is laborious and subjective. To… read more here.
Keywords: synthesis; segmentation; mask guided; image synthesis ... See more keywords
Partial Convolution for Padding, Inpainting, and Image Synthesis
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DOI: 10.1109/tpami.2022.3209702
Abstract: Partial convolution weights convolutions with binary masks and renormalizes on valid pixels. It was originally proposed for image inpainting task because a corrupted image processed by a standard convolutional often leads to artifacts. Therefore, binary… read more here.
Keywords: partial convolution; convolution padding; image synthesis; convolution based ... See more keywords
Semantic Probability Distribution Modeling for Diverse Semantic Image Synthesis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3210085
Abstract: Semantic image synthesis, translating semantic layouts to photo-realistic images, is a one-to-many mapping problem. Though impressive progress has been recently made, diverse semantic synthesis that can efficiently produce semantic-level or even instance-level multimodal results, still… read more here.
Keywords: semantic image; diverse semantic; synthesis; instance ... See more keywords