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 (MIUA, 2017)

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 (MICCAI (2), 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 (SASHIMI@MICCAI, 2018)

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 (STACOM@MICCAI, 2019)

TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. - Chengjia Wang; Giorgos Papanastasiou; Sotirios A. Tsaftaris; Guang Yang 006; Calum D. Gray; David E. Newby; Gillian Macnaught; Tom J. MacGillivray (MLMIR@MICCAI, 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)

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)

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)

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)

Essex-NLIP at MediaEval Predicting Media Memorability 2020 Task. - Janadhip Jacutprakart; Rukiye Savran Kiziltepe; John Q. Gan; Giorgos Papanastasiou; Alba Garcia Seco de Herrera (MediaEval, 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 (DART/DCL@MICCAI, 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 006 (IEEE Trans. Ind. Informatics, 2020)

FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks. - Chengjia Wang; Guang Yang 006; Giorgos Papanastasiou (CBMS, 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 (CLEF (Working Notes), 2021)

DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. - Chengjia Wang; Guang Yang 006; Giorgos Papanastasiou; Sotirios A. Tsaftaris; David E. Newby; Calum D. Gray; Gillian Macnaught; Tom J. MacGillivray (Inf. Fusion, 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)

Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation. - Chengjia Wang; Guang Yang 006; Giorgos Papanastasiou; Heye Zhang; Joel J. P. C. Rodrigues; Victor Hugo C. de Albuquerque (IEEE Trans. Ind. Informatics, 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)

Unsupervised Image Registration towards Enhancing Performance and Explainability in Cardiac and Brain Image Analysis. - Chengjia Wang; Guang Yang 006; Giorgos Papanastasiou (Sensors, 2022)

You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. - Xiaodan Xing; Federico Felder; Yang Nan 002; Giorgos Papanastasiou; Simon Walsh; Guang Yang 006 (MICCAI (5), 2023)

Explainable unsupervised multi-modal image registration using deep networks. - Chengjia Wang; Giorgos Papanastasiou (CoRR, 2023)

Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations. - Xiaodan Xing; Giorgos Papanastasiou; Simon Walsh; Guang Yang 006 (IEEE Trans. Medical Imaging, 2023)

Benchmarking Counterfactual Image Generation. - Thomas Melistas; Nikos Spyrou; Nefeli Gkouti; Pedro Sanchez; Athanasios Vlontzos; Yannis Panagakis; Giorgos Papanastasiou; Sotirios A. Tsaftaris (NeurIPS, 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 006 (Comput. Biol. Medicine, 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)

Benchmarking Counterfactual Image Generation. - Thomas Melistas; Nikos Spyrou; Nefeli Gkouti; Pedro Sanchez; Athanasios Vlontzos; Giorgos Papanastasiou; Sotirios A. Tsaftaris (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 006; Charles Beauville; Nikolaos Dikaios; George A. Kastis; Michael Bussmann; Sara Khalid; Hagen Kruger; et al. (CoRR, 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)

Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts. - Yijian Gao; Dominic C. Marshall; Xiaodan Xing; Junzhi Ning; Giorgos Papanastasiou; Guang Yang 006; Matthieu Komorowski (CoRR, 2024)

Is Attention all You Need in Medical Image Analysis? A Review. - Giorgos Papanastasiou; Nikolaos Dikaios; Jiahao Huang; Chengjia Wang; Guang Yang 006 (IEEE J. Biomed. Health Informatics, 2024)

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; et al. (Neurocomputing, 2025)

Revisiting medical image retrieval via knowledge consolidation. - Yang Nan 002; Huichi Zhou; Xiaodan Xing; Giorgos Papanastasiou; Lei Zhu 003; Zhifan Gao; Alejandro F. Frangi; Guang Yang 006 (Medical Image Anal., 2025)

Advancing breast, lung and prostate cancer research with federated learning. A systematic review. - Anshu Ankolekar; Sebastian Boie; Maryam Abdollahyan; Emanuela Gadaleta; Seyed Alireza Hasheminasab; Guang Yang 006; Charles Beauville; Nikolaos Dikaios; George A. Kastis; Michael Bussmann; Claude Chelala; Sara Khalid; et al. (npj Digit. Medicine, 2025)

Large scale causal modeling to identify adults at risk for combined and common variable immunodeficiencies. - Giorgos Papanastasiou; Marco Scutari; Raffi Tachdjian; Vivian Hernandez-Trujillo; Jason Raasch; Kaylyn Billmeyer; Nikolay V. Vasilyev; Vladimir Ivanov (npj Digit. Medicine, 2025)

Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models. - Yuchen Mao; Hongwei Li; Yinyi Lai; Giorgos Papanastasiou; Peng Qi; Yunjie Yang; Chengjia Wang (CoRR, 2025)

Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation. - Peiyuan Jing; Kinhei Lee; Zhenxuan Zhang; Huichi Zhou; Zhengqing Yuan; Zhifan Gao; Lei Zhu 003; Giorgos Papanastasiou; Yingying Fang; Guang Yang 006 (CoRR, 2025)

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization. - Peng Qi 001; Wenxi Qu; Tianliang Yao; Haonan Ma; Dylan Wintle; Yinyi Lai; Giorgos Papanastasiou; Chengjia Wang (CoRR, 2025)

Causally Steered Diffusion for Automated Video Counterfactual Generation. - Nikos Spyrou; Athanasios Vlontzos; Paraskevas Pegios; Thomas Melistas; Nefeli Gkouti; Yannis Panagakis; Giorgos Papanastasiou; Sotirios A. Tsaftaris (CoRR, 2025)

Editorial Emerging Horizons: The Rise of Large Language Models and Cross-Modal Generative AI. - Guang Yang 006; Jing Zhang 037; Giorgos Papanastasiou; Ge Wang 001; Dacheng Tao (IEEE Trans. Big Data, 2025)