Sign Up to like & get
recommendations!
0
Published in 2024 at "Medical physics"
DOI: 10.1002/mp.17362
Abstract: BACKGROUND The current mainstream multi-modal medical image-to-image translation methods face a contradiction. Supervised methods with outstanding performance rely on pixel-wise aligned training data to constrain the model optimization. However, obtaining pixel-wise aligned multi-modal medical image…
read more here.
Keywords:
modal medical;
image translation;
image;
medical image ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "Medical Physics"
DOI: 10.1002/mp.17837
Abstract: The magnetic resonance (MR) image translation model is designed to generate MR images of required sequence from the images of existing sequence. However, the generalization performance of MR image generation models on external datasets tends…
read more here.
Keywords:
image;
magnetic resonance;
image translation;
resonance image ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04253-2
Abstract: Though many methods have been proposed, image completion still remains challenge; besides textured patterns completion, it often requires high-level understanding of scenes and objects being completed. More recently, deep convolutional generative adversarial networks have been…
read more here.
Keywords:
image;
completion;
image completion;
image image ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05975-y
Abstract: Generative adversarial networks (GANs) have been accepted as powerful models in the field of computer vision, speech and language processing, etc. However, a major concern regarding GANs is the requirement of paired images for image-to-image…
read more here.
Keywords:
generative adversarial;
novel evolutionary;
image;
cyclic gan ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-025-03450-w
Abstract: Purpose The limited availability of bronchoscopy images makes image synthesis particularly interesting for training deep learning models. Robust image translation across different domains—virtual bronchoscopy, phantom as well as in vivo and ex vivo image data—is…
read more here.
Keywords:
image translation;
image;
bronchogan;
bronchoscopy ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "Radiological Physics and Technology"
DOI: 10.1007/s12194-019-00520-y
Abstract: Since the advent of deep convolutional neural networks (DNNs), computer vision has seen an extremely rapid progress that has led to huge advances in medical imaging. Every year, many new methods are reported at conferences…
read more here.
Keywords:
image;
neural networks;
medical imaging;
image image ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.08.072
Abstract: Abstract The abundant complex Chinese characters often lead to the high cost of time and labor in its typography production, which cannot meet various demands of typohraphies in daily life. Image translation methods are becoming…
read more here.
Keywords:
image;
typography;
ssnet;
structure ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "SLAS technology"
DOI: 10.1016/j.slast.2021.10.014
Abstract: The advent of deep-learning has set new standards in an array of image translation applications. At present, the use of these methods often requires computer programming experience. Non-commercial programs with graphical interface usually do not…
read more here.
Keywords:
interface;
image translation;
deepimagetranslator;
deep learning ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
0
Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-00080-5
Abstract: Image-based characterization offers a powerful approach to studying geological porous media at the nanoscale and images are critical to understanding reactive transport mechanisms in reservoirs relevant to energy and sustainability technologies such as carbon sequestration,…
read more here.
Keywords:
sample;
image;
contrast;
microscopy ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-025-87358-0
Abstract: Image-to-image translation can create large impact in medical imaging, as images can be synthetically transformed to other modalities, sequence types, higher resolutions or lower noise levels. To ensure patient safety, these methods should be validated…
read more here.
Keywords:
image translation;
image;
image image;
similarity ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
0
Published in 2021 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1836426
Abstract: ABSTRACT This paper presents a novel study: remote-sensing image translation between high-resolution optical and Synthetic Aperture Radar (SAR) data through machine learning approaches. To this end, conditional Generative Adversarial Networks (cGANs) have been proposed with…
read more here.
Keywords:
image;
high resolution;
translation;
sar ... See more keywords