Giorgos Papanastasiou

51 papers A* 1B 1Journal 40Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamical multi-order responses and global semantic-infused adversarial learning: A robust airway segmentation method. Medical Image Anal. Sheng Zhang, Yang Nan, Yingying Fang, Shiyi Wang, Yongkai Liu, Giorgos Papanastasiou, Zhifan Gao, Shuo Li, Simon Walsh, Guang Yang
2026	J	`jnl`	Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers. IEEE J. Biomed. Health Informatics Andreas S. Panayides, Hao Chen, Nenad D. Filipovic, Tijana Geroski, Junlin Hou, Karim Lekadir, Kostas Marias, George K. Matsopoulos, Giorgos Papanastasiou, Pinaki Sarder, Georgia D. Tourassi, Sotirios A. Tsaftaris, Huazhu Fu, Efthyvoulos C. Kyriacou, Christos P. Loizou, Michalis E. Zervakis, Joel H. Saltz, Farah E. Shamout, Ken C. L. Wong, Jianhua Yao, Amir A. Amini, Dimitrios I. Fotiadis, Constantinos S. Pattichis, Marios S. Pattichis
2026	J	`jnl`	Reason like a radiologist: Chain-of-thought and reinforcement learning for verifiable report generation. Medical Image Anal. Peiyuan Jing, Kinhei Lee, Zhenxuan Zhang, Huichi Zhou, Zhengqing Yuan, Zhifan Gao, Lei Zhu, Giorgos Papanastasiou, Yingying Fang, Guang Yang
2026	J	`jnl`	SeLoRA: Self-expanding LoRA for high-quality and efficient medical image synthesis. Expert Syst. Appl. Yuchen Mao, Hongwei Bran Li, Wei Pang, Giorgos Papanastasiou, Guang Yang, Ehsan Mohammadi Pasand, Theodore Harrison-Drummond, Chengjia Wang
2025	J	`jnl`	A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization. CoRR Peng Qi, Wenxi Qu, Tianliang Yao, Haonan Ma, Dylan Wintle, Yinyi Lai, Giorgos Papanastasiou, Chengjia Wang
2025	J	`jnl`	Advancing breast, lung and prostate cancer research with federated learning. A systematic review. npj Digit. Medicine Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan, Emanuela Gadaleta, Seyed Alireza Hasheminasab, Guang Yang, Charles Beauville, Nikolaos Dikaios, George A. Kastis, Michael Bussmann, Claude Chelala, Sara Khalid, Hagen Kruger, Philippe Lambin, Giorgos Papanastasiou
2025	J	`jnl`	Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion. Neurocomputing 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
2025	J	`jnl`	Causally Steered Diffusion for Automated Video Counterfactual Generation. CoRR Nikos Spyrou, Athanasios Vlontzos, Paraskevas Pegios, Thomas Melistas, Nefeli Gkouti, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris
2025	J	`jnl`	Editorial Emerging Horizons: The Rise of Large Language Models and Cross-Modal Generative AI. IEEE Trans. Big Data Guang Yang, Jing Zhang, Giorgos Papanastasiou, Ge Wang, Dacheng Tao
2025	J	`jnl`	Large scale causal modeling to identify adults at risk for combined and common variable immunodeficiencies. npj Digit. Medicine Giorgos Papanastasiou, Marco Scutari, Raffi Tachdjian, Vivian Hernandez-Trujillo, Jason Raasch, Kaylyn Billmeyer, Nikolay V. Vasilyev, Vladimir Ivanov
2025	J	`jnl`	Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation. CoRR Peiyuan Jing, Kinhei Lee, Zhenxuan Zhang, Huichi Zhou, Zhengqing Yuan, Zhifan Gao, Lei Zhu, Giorgos Papanastasiou, Yingying Fang, Guang Yang
2025	J	`jnl`	Revisiting Medical Image Retrieval via Knowledge Consolidation. CoRR Yang Nan, Huichi Zhou, Xiaodan Xing, Giorgos Papanastasiou, Lei Zhu, Zhifan Gao, Alejandro F. Frangi, Guang Yang
2025	J	`jnl`	Revisiting medical image retrieval via knowledge consolidation. Medical Image Anal. Yang Nan, Huichi Zhou, Xiaodan Xing, Giorgos Papanastasiou, Lei Zhu, Zhifan Gao, Alejandro F. Frangi, Guang Yang
2025	J	`jnl`	Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models. CoRR Yuchen Mao, Hongwei Li, Yinyi Lai, Giorgos Papanastasiou, Peng Qi, Yunjie Yang, Chengjia Wang
2024	J	`jnl`	Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review. CoRR 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
2024	J	`jnl`	Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts. CoRR Yijian Gao, Dominic C. Marshall, Xiaodan Xing, Junzhi Ning, Giorgos Papanastasiou, Guang Yang, Matthieu Komorowski
2024	A*	`conf`	Benchmarking Counterfactual Image Generation. NeurIPS Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris
2024	J	`jnl`	Benchmarking Counterfactual Image Generation. CoRR Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Giorgos Papanastasiou, Sotirios A. Tsaftaris
2024	J	`jnl`	Can generative AI replace immunofluorescent staining processes? A comparison study of synthetically generated cellpainting images from brightfield. Comput. Biol. Medicine Xiaodan Xing, Siofra Murdoch, Chunling Tang, Giorgos Papanastasiou, Jan Oscar Cross-Zamirski, Yunzhe Guo, Xianglu Xiao, Carola-Bibiane Schönlieb, Yinhai Wang, Guang Yang
2024	J	`jnl`	From explainable to interpretable deep learning for natural language processing in healthcare: how far from reality? CoRR Guangming Huang, Yunfei Long, Yingya Li, Giorgos Papanastasiou
2024	J	`jnl`	Is Attention all You Need in Medical Image Analysis? A Review. IEEE J. Biomed. Health Informatics Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang
2024	J	`jnl`	SeLoRA: Self-Expanding Low-Rank Adaptation of Latent Diffusion Model for Medical Image Synthesis. CoRR Yuchen Mao, Hongwei Li, Wei Pang, Giorgos Papanastasiou, Guang Yang, Chengjia Wang
2023	J	`jnl`	Explainable unsupervised multi-modal image registration using deep networks. CoRR Chengjia Wang, Giorgos Papanastasiou
2023	J	`jnl`	Is attention all you need in medical image analysis? A review. CoRR Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang
2023	J	`jnl`	Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations. IEEE Trans. Medical Imaging Xiaodan Xing, Giorgos Papanastasiou, Simon Walsh, Guang Yang
2023	J	`jnl`	Less is More: Unsupervised Mask-guided Annotated CT Image Synthesis with Minimum Manual Segmentations. CoRR Xiaodan Xing, Giorgos Papanastasiou, Simon Walsh, Guang Yang
2023	—	`conf`	You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. MICCAI (5) Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang
2023	J	`jnl`	You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. CoRR Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang
2022	J	`jnl`	Unsupervised Image Registration Towards Enhancing Performance and Explainability in Cardiac And Brain Image Analysis. CoRR Chengjia Wang, Guang Yang, Giorgos Papanastasiou
2022	J	`jnl`	Unsupervised Image Registration towards Enhancing Performance and Explainability in Cardiac and Brain Image Analysis. Sensors Chengjia Wang, Guang Yang, Giorgos Papanastasiou
2021	J	`jnl`	DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. Inf. Fusion Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, David E. Newby, Calum D. Gray, Gillian Macnaught, Tom J. MacGillivray
2021	J	`jnl`	Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. IEEE Trans. Medical Imaging Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2021	B	`conf`	FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks. CBMS Chengjia Wang, Guang Yang, Giorgos Papanastasiou
2021	J	`jnl`	Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation. IEEE Trans. Ind. Informatics Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Heye Zhang, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque
2021	—	`conf`	NLIP-Essex-ITESM at ImageCLEFcaption 2021 task : Deep Learning-based Information Retrieval and Multi-label Classification towards improving Medical Image Understanding. CLEF (Working Notes) Janadhip Jacutprakart, Francisco Parrilla Andrade, Rodolfo Cuan, Arely Aceves Compean, Giorgos Papanastasiou, Alba Garcia Seco de Herrera
2021	J	`jnl`	Pharmacokinetic modelling for the simultaneous assessment of perfusion and NeuroImage 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
2020	—	`conf`	Essex-NLIP at MediaEval Predicting Media Memorability 2020 Task. MediaEval Janadhip Jacutprakart, Rukiye Savran Kiziltepe, John Q. Gan, Giorgos Papanastasiou, Alba Garcia Seco de Herrera
2020	J	`jnl`	SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT. IEEE Trans. Ind. Informatics Chengjia Wang, Shizhou Dong, Xiaofeng Zhao, Giorgos Papanastasiou, Heye Zhang, Guang Yang
2020	—	`conf`	Semi-supervised Pathology Segmentation with Disentangled Representations. DART/DCL@MICCAI Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris
2020	J	`jnl`	Semi-supervised Pathology Segmentation with Disentangled Representations. CoRR Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	Disentangle, align and fuse for multimodal and zero-shot image segmentation. CoRR Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	Disentangled representation learning in cardiac image analysis. Medical Image Anal. Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	FIRE: Unsupervised bi-directional inter-modality registration using deep networks. CoRR Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang
2019	J	`jnl`	Factorised Representation Learning in Cardiac Image Analysis. CoRR Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	—	`conf`	Multimodal Cardiac Segmentation Using Disentangled Representation Learning. STACOM@MICCAI Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	—	`conf`	TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. MLMIR@MICCAI Chengjia Wang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, Guang Yang, Calum D. Gray, David E. Newby, Gillian Macnaught, Tom J. MacGillivray
2018	—	`conf`	Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation. MICCAI (2) Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2018	J	`jnl`	Factorised spatial representation learning: application in semi-supervised myocardial segmentation. CoRR Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2018	—	`conf`	Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks. SASHIMI@MICCAI Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby
2018	J	`jnl`	Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks. CoRR Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby
2017	—	`conf`	Multidimensional Assessments of Abdominal Aortic Aneurysms by Magnetic Resonance Against Ultrasound Diameter Measurements. MIUA Giorgos Papanastasiou, Víctor González-Castro, Calum D. Gray, R. O. Forsythe, Y. Sourgia-Koutraki, N. Mitchard, David E. Newby, S. I. K. Semple