Prediction of a typhoon track using a generative adversarial network and satellite images
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-42339-y
Abstract: Tracks of typhoons are predicted using a generative adversarial network (GAN) with satellite images as inputs. Time series of satellite images of typhoons which occurred in the Korea Peninsula in the past are used to… read more here.
Keywords: generative adversarial; typhoon; network; satellite images ... See more keywords
Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN’s Learned Features
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3236575
Abstract: Convolutional neural networks (CNNs) are increasingly being explored and used for a variety of classification tasks in medical imaging, but current methods for post hoc explainability are limited. Most commonly used methods highlight portions of… read more here.
Keywords: networks figan; adversarial networks; using generative; generative adversarial ... See more keywords
Spatiotemporal Reflectance Fusion Using a Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3065418
Abstract: The spatiotemporal reflectance fusion method is used to blend high-temporal and low-spatial resolution images with their low-temporal and high-spatial resolution counterparts that were previously acquired by various satellite sensors. Recently, a wide variety of learning-based… read more here.
Keywords: network; using generative; reflectance; spatiotemporal reflectance ... See more keywords
Hippocampal subfields segmentation in brain MR images using generative adversarial networks
Sign Up to like & getrecommendations! Published in 2019 at "BioMedical Engineering OnLine"
DOI: 10.1186/s12938-019-0623-8
Abstract: BackgroundSegmenting the hippocampal subfields accurately from brain magnetic resonance (MR) images is a challenging task in medical image analysis. Due to the small structural size and the morphological complexity of the hippocampal subfields, the traditional… read more here.
Keywords: generative adversarial; segmentation; using generative; hippocampal subfields ... See more keywords