Giorgos Papanastasiou

According to our database, Giorgos Papanastasiou authored at least 29 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion.

Xiaodan Xing, Chunling Tang, Siofra Murdoch, Giorgos Papanastasiou, Yunzhe Guo, Xianglu Xiao, Jan Oscar Cross-Zamirski, Carola-Bibiane Schönlieb, Kristina Xiao Liang, Zhangming Niu, Evandro Fei Fang, Yinhai Wang, Guang Yang

Neurocomputing, 2025

2024

Is Attention all You Need in Medical Image Analysis? A Review.

Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang

IEEE J. Biomed. Health Informatics, March, 2024

SeLoRA: Self-Expanding Low-Rank Adaptation of Latent Diffusion Model for Medical Image Synthesis.

Yuchen Mao, Hongwei Li, Wei Pang, Giorgos Papanastasiou, Guang Yang, Chengjia Wang

CoRR, 2024

Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review.

Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan, Emanuela Gadaleta, Seyed Alireza Hasheminasab, Guang Yang, Charles Beauville, Nikolaos Dikaios, George A. Kastis, Michael Bussmann, Sara Khalid, Hagen Kruger, Philippe Lambin, Giorgos Papanastasiou

CoRR, 2024

Benchmarking Counterfactual Image Generation.

Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Giorgos Papanastasiou, Sotirios A. Tsaftaris

CoRR, 2024

From explainable to interpretable deep learning for natural language processing in healthcare: how far from reality?

Guangming Huang, Yunfei Long, Yingya Li, Giorgos Papanastasiou

CoRR, 2024

Can generative AI replace immunofluorescent staining processes? A comparison study of synthetically generated cellpainting images from brightfield.

Xiaodan Xing, Siofra Murdoch, Chunling Tang, Giorgos Papanastasiou, Jan Oscar Cross-Zamirski, Yunzhe Guo, Xianglu Xiao, Carola-Bibiane Schönlieb, Yinhai Wang, Guang Yang

Comput. Biol. Medicine, 2024

2023

Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations.

Xiaodan Xing, Giorgos Papanastasiou, Simon Walsh, Guang Yang

IEEE Trans. Medical Imaging, September, 2023

Explainable unsupervised multi-modal image registration using deep networks.

Chengjia Wang, Giorgos Papanastasiou

CoRR, 2023

You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images.

Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang

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.

Chengjia Wang, Guang Yang, Giorgos Papanastasiou

Sensors, 2022

2021

Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation.

Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

IEEE Trans. Medical Imaging, 2021

Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation.

Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Heye Zhang, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque

IEEE Trans. Ind. Informatics, 2021

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

Giorgos Papanastasiou, Mark A. Rodrigues, Chengjia Wang, Kerstin Heurling, Christophe Lucatelli, Rustam Al-Shahi Salman, Joanna M. Wardlaw, Edwin J. R. van Beek, Gerard Thompson

NeuroImage, 2021

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

Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, David E. Newby, Calum D. Gray, Gillian Macnaught, Tom J. MacGillivray

Inf. Fusion, 2021

NLIP-Essex-ITESM at ImageCLEFcaption 2021 task : Deep Learning-based Information Retrieval and Multi-label Classification towards improving Medical Image Understanding.

Janadhip Jacutprakart, Francisco Parrilla Andrade, Rodolfo Cuan, Arely Aceves Compean, Giorgos Papanastasiou, Alba Garcia Seco de Herrera

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.

Chengjia Wang, Guang Yang, Giorgos Papanastasiou

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.

Chengjia Wang, Shizhou Dong, Xiaofeng Zhao, Giorgos Papanastasiou, Heye Zhang, Guang Yang

IEEE Trans. Ind. Informatics, 2020

Semi-supervised Pathology Segmentation with Disentangled Representations.

Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Essex-NLIP at MediaEval Predicting Media Memorability 2020 Task.

Janadhip Jacutprakart, Rukiye Savran Kiziltepe, John Q. Gan, Giorgos Papanastasiou, Alba Garcia Seco de Herrera

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

2019

Disentangled representation learning in cardiac image analysis.

Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

Medical Image Anal., 2019

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

Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

CoRR, 2019

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

Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang

CoRR, 2019

Factorised Representation Learning in Cardiac Image Analysis.

Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

CoRR, 2019

TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis.

Chengjia Wang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, Guang Yang, Calum D. Gray, David E. Newby, Gillian Macnaught, Tom J. MacGillivray

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Multimodal Cardiac Segmentation Using Disentangled Representation Learning.

Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

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.

Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby

Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation.

Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

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.

Giorgos Papanastasiou, Víctor González-Castro, Calum D. Gray, R. O. Forsythe, Y. Sourgia-Koutraki, N. Mitchard, David E. Newby, S. I. K. Semple

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017