Giorgos Papanastasiou

According to our database1, Giorgos Papanastasiou authored at least 23 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations.
IEEE Trans. Medical Imaging, September, 2023

Explainable unsupervised multi-modal image registration using deep networks.
CoRR, 2023

Is attention all you need in medical image analysis? A review.
CoRR, 2023

You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Unsupervised Image Registration towards Enhancing Performance and Explainability in Cardiac and Brain Image Analysis.
Sensors, 2022

2021
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation.
IEEE Trans. Ind. Informatics, 2021

Pharmacokinetic modelling for the simultaneous assessment of perfusion and <sup>18</sup>F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of concept.
NeuroImage, 2021

DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis.
Inf. Fusion, 2021

NLIP-Essex-ITESM at ImageCLEFcaption 2021 task : Deep Learning-based Information Retrieval and Multi-label Classification towards improving Medical Image Understanding.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT.
IEEE Trans. Ind. Informatics, 2020

Semi-supervised Pathology Segmentation with Disentangled Representations.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Essex-NLIP at MediaEval Predicting Media Memorability 2020 Task.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

2019
Disentangled representation learning in cardiac image analysis.
Medical Image Anal., 2019

Disentangle, align and fuse for multimodal and zero-shot image segmentation.
CoRR, 2019

FIRE: Unsupervised bi-directional inter-modality registration using deep networks.
CoRR, 2019

Factorised Representation Learning in Cardiac Image Analysis.
CoRR, 2019

TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Multimodal Cardiac Segmentation Using Disentangled Representation Learning.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

2018
Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Multidimensional Assessments of Abdominal Aortic Aneurysms by Magnetic Resonance Against Ultrasound Diameter Measurements.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017


  Loading...