Evaluation of geometric features as biomarkers of diabetic retinopathy for characterizing the retinal vascular changes during the progression of diabetes. - Georgios Leontidis; Bashir Al-Diri; Jeffrey Wigdahl; Andrew Hunter (EMBC, 2015)

Automatic Gunn and Salus sign quantification in retinal images. - Jeffrey Wigdahl; Pedro Guimarães; Georgios Leontidis; Areti Triantafyllou; Alfredo Ruggeri (EMBC, 2015)

Summarising the retinal vascular calibres in healthy, diabetic and diabetic retinopathy eyes. - Georgios Leontidis; Bashir Al-Diri; Andrew Hunter (Comput. Biol. Medicine, 2016)

Early screening and diagnosis of diabetic retinopathy. - Georgios Leontidis (2016)

Adaptation and contextualization of deep neural network models. - Dimitrios Kollias; Miao Yu 001; Athanasios Tagaris; Georgios Leontidis; Andreas Stafylopatis; Stefanos D. Kollias (SSCI, 2017)

A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images. - Georgios Leontidis (Comput. Biol. Medicine, 2017)

An adaptable deep learning system for optical character verification in retail food packaging. - Fabio De Sousa Ribeiro; Francesco Calivá; Mark Swainson; Kjartan Gudmundsson; Georgios Leontidis; Stefanos D. Kollias (EAIS, 2018)

An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging. - Fabio De Sousa Ribeiro; Liyun Gong; Francesco Calivá; Mark Swainson; Kjartan Gudmundsson; Miao Yu 001; Georgios Leontidis; Xujiong Ye; Stefanos D. Kollias (ICIP, 2018)

A Deep Learning Approach to Anomaly Detection in Nuclear Reactors. - Francesco Calivá; Fabio De Sousa Ribeiro; Antonios Mylonakis; Christophe Demazière; Paolo Vinai; Georgios Leontidis; Stefanos D. Kollias (IJCNN, 2018)

Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. - Fabio De Sousa Ribeiro; Francesco Calivá; Dionysios Chionis; Abdelhamid Dokhane; Antonios Mylonakis; Christophe Demazière; Georgios Leontidis; Stefanos D. Kollias (SSCI, 2018)

Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images. - Fabio De Sousa Ribeiro; Francesco Calivá; Mark Swainson; Kjartan Gudmundsson; Georgios Leontidis; Stefanos D. Kollias (CoRR, 2018)

Corrigendum to "A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images" [Comput. Biol. Med. 90C (2017) 98-115]. - Georgios Leontidis (Comput. Biol. Medicine, 2019)

Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems. - George Onoufriou; Ronald Bickerton; Simon Pearson; Georgios Leontidis (Comput. Ind., 2019)

Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments. - Bashar Alhnaity; Simon Pearson; Georgios Leontidis; Stefanos D. Kollias (CoRR, 2019)

Capsule Routing via Variational Bayes. - Fabio De Sousa Ribeiro; Georgios Leontidis; Stefanos D. Kollias (AAAI, 2020)

Introducing Routing Uncertainty in Capsule Networks. - Fabio De Sousa Ribeiro; Georgios Leontidis; Stefanos D. Kollias (NeurIPS, 2020)

Multi-source domain adaptation for quality control in retail food packaging. - Mamatha Thota; Stefanos D. Kollias; Mark Swainson; Georgios Leontidis (Comput. Ind., 2020)

Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging. - Mamatha Thota; Stefanos D. Kollias; Mark Swainson; Georgios Leontidis (CoRR, 2020)

Imputation of missing sub-hourly precipitation data in a large sensor network: a machine learning approach. - Benedict Delahaye Chivers; John Wallbank; Steven J. Cole; Ondrej Sebek; Simon Stanley; Matthew Fry; Georgios Leontidis (CoRR, 2020)

A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms. - Wei Wei; Bei Zhou; Georgios Leontidis (CoRR, 2020)

An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth. - Bashar Alhnaity; Stefanos D. Kollias; Georgios Leontidis; Shouyong Jiang; Bert Schamp; Simon Pearson (CoRR, 2020)

Deep Bayesian Self-Training. - Fabio De Sousa Ribeiro; Francesco Calivá; Mark Swainson; Kjartan Gudmundsson; Georgios Leontidis; Stefanos D. Kollias (Neural Comput. Appl., 2020)

Contrastive Domain Adaptation. - Mamatha Thota; Georgios Leontidis (CVPR Workshops, 2021)

Lightweight deep learning models for detecting COVID-19 from chest X-ray images. - Stefanos Karakanis; Georgios Leontidis (Comput. Biol. Medicine, 2021)

Hyperspherically Regularized Networks for BYOL Improves Feature Uniformity and Separability. - Aiden Durrant; Georgios Leontidis (CoRR, 2021)

EDLaaS; Fully Homomorphic Encryption Over Neural Network Graphs. - George Onoufriou; Marc Hanheide; Georgios Leontidis (CoRR, 2021)

An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth. - Bashar Alhnaity; Stefanos D. Kollias; Georgios Leontidis; Shouyong Jiang; Bert Schamp; Simon Pearson (Inf. Sci., 2021)

Fully Homomorphically Encrypted Deep Learning as a Service. - George Onoufriou; Paul Mayfield; Georgios Leontidis (Mach. Learn. Knowl. Extr., 2021)

The role of cross-silo federated learning in facilitating data sharing in the agri-food sector. - Aiden Durrant; Milan Markovic; David Matthews; David May 005; Jessica A. Enright; Georgios Leontidis (Comput. Electron. Agric., 2022)

Learning with Capsules: A Survey. - Fabio De Sousa Ribeiro; Kevin Duarte; Miles Everett; Georgios Leontidis; Mubarak Shah (CoRR, 2022)

Hyperspherically regularized networks for self-supervision. - Aiden Durrant; Georgios Leontidis (Image Vis. Comput., 2022)

EDLaaS: Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting. - George Onoufriou; Marc Hanheide; Georgios Leontidis (Sensors, 2022)

Deep learning universal crater detection using Segment Anything Model (SAM). - Iraklis Giannakis; Anshuman Bhardwaj; Lydia Sam; Georgios Leontidis (CoRR, 2023)

HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes. - Aiden Durrant; Georgios Leontidis (CoRR, 2023)

Vanishing Activations: A Symptom of Deep Capsule Networks. - Miles Everett; Mingjun Zhong; Georgios Leontidis (CoRR, 2023)

S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning. - Alzbeta Manová; Aiden Durrant; Georgios Leontidis (CoRR, 2023)

Semantic Positive Pairs for Enhancing Contrastive Instance Discrimination. - Mohammad Alkhalefi; Georgios Leontidis; Mingjun Zhong (CoRR, 2023)

ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method. - Miles Everett; Mingjun Zhong; Georgios Leontidis (Trans. Mach. Learn. Res., 2023)

Premonition Net, a multi-timeline transformer network architecture towards strawberry tabletop yield forecasting. - George Onoufriou; Marc Hanheide; Georgios Leontidis (Comput. Electron. Agric., 2023)

Tabular Machine Learning Methods for Predicting Gas Turbine Emissions. - Rebecca Potts; Rick Hackney; Georgios Leontidis (Mach. Learn. Knowl. Extr., 2023)

LLEDA - Lifelong Self-Supervised Domain Adaptation. - Mamatha Thota; Dewei Yi; Georgios Leontidis (Knowl. Based Syst., 2023)

Accelerate Training of Personalised Multi-Task Federated Learning. - Yiren Li; Pradip Kumar Sharma; Georgios Leontidis; Dewei Yi (ICAC, 2024)

Farm Explorer: A Tool for Calculating Transparent Greenhouse Gas Emissions. - Milan Markovic; Stefano Germano; Daniel Garijo; Peter Edwards; Andy Li; Tewodros Ayall; Rachael Ramsey; Georgios Leontidis (ISWC (Posters/Demos/Industry), 2024)

Capsule Network Projectors are Equivariant and Invariant Learners. - Miles Everett; Aiden Durrant; Mingjun Zhong; Georgios Leontidis (CoRR, 2024)

Investigating the Capabilities of Deep Learning for Processing and Interpreting One-Shot Multi-offset GPR Data: A Numerical Case Study for Lunar and Martian Environments. - Iraklis Giannakis; Craig Warren; Antonios Giannopoulos; Georgios Leontidis; Yan Su; Feng Zhou; Javier Martin-Torres; Nectaria Diamanti (CoRR, 2024)

Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning. - Andy Li; Aiden Durrant; Milan Markovic; Lu Yin; Georgios Leontidis (CoRR, 2024)

Model pruning enables localized and efficient federated learning for yield forecasting and data sharing. - Andy Li; Milan Markovic; Peter Edwards; Georgios Leontidis (Expert Syst. Appl., 2024)

Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination methods. - Mohammad Alkhalefi; Georgios Leontidis; Mingjun Zhong (Trans. Mach. Learn. Res., 2024)

LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations. - Mohammad Alkhalefi; Georgios Leontidis; Mingjun Zhong (Trans. Mach. Learn. Res., 2024)

Object-centric Learning with Capsule Networks: A Survey. - Fabio De Sousa Ribeiro; Kevin Duarte; Miles Everett; Georgios Leontidis; Mubarak Shah (ACM Comput. Surv., 2024)

Multimodal Federated Learning with Missing Modalities Through Feature Imputation Network. - Pranav Poudel; Aavash Chhetri; Prashnna K. Gyawali; Georgios Leontidis; Binod Bhattarai (MIUA (1), 2025)

Exploring Segment Anything Foundation Models for Out of Domain Crevasse Drone Image Segmentation. - Steven Wallace; Aiden Durrant; William David Harcourt; Richard Hann; Georgios Leontidis (NLDL, 2025)

Masked Capsule Autoencoders. - Miles Everett; Mingjun Zhong; Georgios Leontidis (Trans. Mach. Learn. Res., 2025)

Enhancing Strawberry Yield Forecasting with Backcasted IoT Sensor Data and Machine Learning. - Tewodros Alemu Ayall; Andy Li; Matthew Beddows; Milan Markovic; Georgios Leontidis (CoRR, 2025)

EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks. - Athinoulla Konstantinou; Georgios Leontidis; Mamatha Thota; Aiden Durrant (CoRR, 2025)

OmniNet: an expandable causal inference network for multiple modalities. - Yinuo Zhou; Georgios Leontidis; Mingjun Zhong (Neural Comput. Appl., 2025)