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Giorgos Papanastasiou

Researcher at University of Edinburgh

Publications -  44
Citations -  826

Giorgos Papanastasiou is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Segmentation & Deep learning. The author has an hindex of 13, co-authored 37 publications receiving 482 citations. Previous affiliations of Giorgos Papanastasiou include British Heart Foundation & University of Essex.

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Disentangled representation learning in cardiac image analysis.

TL;DR: Spatial Decomposition Network (SDNet) is proposed, which factorises 2D medical images into spatial anatomical factors and non-spatial modality factors and is ideally suited for several medical image analysis tasks, such as semi-supervised segmentation, multi-task segmentation and regression, and image-to-image synthesis.
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SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT

TL;DR: This article introduces a semisupervised adversarial learning method, named as SaliencyGAN, empowered by a novel concatenated generative adversarial network (GAN) framework with partially shared parameters to adopt convolutional neural networks on fog–cloud infrastructures for SOD-based applications.
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DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis.

TL;DR: A deformation invariant cycle-consistency model is presented that can achieve better alignment between the source and target data while maintaining superior image quality of signal compared to several state-of-the-art CycleGAN-based methods.
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Peripheral Retinal Imaging Biomarkers for Alzheimer's Disease: A Pilot Study.

TL;DR: UWF retinal imaging revealed a significant association between AD and peripheral hard drusen formation and changes to the vasculature beyond the posterior pole, at BL and after clinical progression over 2 years, suggesting that monitoring pathological changes in the peripheral retina might become a valuable tool in AD monitoring.