The RNN-ELM classifier. - Athanasios Vlontzos (IJCNN, 2017)

Deep Segmentation and Registration in X-Ray Angiography Video. - Athanasios Vlontzos; Krystian Mikolajczyk (BMVC, 2018)

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. - Benjamin Hou; Athanasios Vlontzos; Amir Alansary; Daniel Rueckert; Bernhard Kainz (MLMIR@MICCAI, 2019)

Multiple Landmark Detection Using Multi-agent Reinforcement Learning. - Athanasios Vlontzos; Amir Alansary; Konstantinos Kamnitsas; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 2019)

Prediction of GNSS Phase Scintillations: A Machine Learning Approach. - Kara Lamb; Garima Malhotra; Athanasios Vlontzos; Edward Wagstaff; Atilim Günes Baydin; Anahita Bhiwandiwalla; Yarin Gal; Alfredo Kalaitzis; Anthony Reina; Asti Bhatt (CoRR, 2019)

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder. - Kara Lamb; Garima Malhotra; Athanasios Vlontzos; Edward Wagstaff; Atilim Günes Baydin; Anahita Bhiwandiwalla; Yarin Gal; Alfredo Kalaitzis; Anthony Reina; Asti Bhatt (CoRR, 2019)

Evaluating reinforcement learning agents for anatomical landmark detection. - Amir Alansary; Ozan Oktay; Yuanwei Li; Loïc Le Folgoc; Benjamin Hou; Ghislain Vaillant; Konstantinos Kamnitsas; Athanasios Vlontzos; Ben Glocker; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2019)

Ultrasound Video Summarization Using Deep Reinforcement Learning. - Tianrui Liu; Qingjie Meng; Athanasios Vlontzos; Jeremy Tan; Daniel Rueckert; Bernhard Kainz (MICCAI (3), 2020)

3D Probabilistic Segmentation and Volumetry from 2D Projection Images. - Athanasios Vlontzos; Samuel Budd; Benjamin Hou; Daniel Rueckert; Bernhard Kainz (TIA@MICCAI, 2020)

Causal Future Prediction in a Minkowski Space-Time. - Athanasios Vlontzos; Henrique Bergallo Rocha; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)

Unsupervised Human Pose Estimation Through Transforming Shape Templates. - Luca Schmidtke; Athanasios Vlontzos; Simon Ellershaw; Anna Lukens; Tomoki Arichi; Bernhard Kainz (CVPR, 2021)

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. - Samuel Budd; Matthew Sinclair; Thomas G. Day; Athanasios Vlontzos; Jeremy Tan; Tianrui Liu 001; Jacqueline Matthew; Emily Skelton; John M. Simpson; Reza Razavi; Ben Glocker; Daniel Rueckert; et al. (MICCAI (7), 2021)

Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. - Hadrien Reynaud; Athanasios Vlontzos; Benjamin Hou; Arian Beqiri; Paul Leeson; Bernhard Kainz (MICCAI (6), 2021)

Topological Data Analysis of Database Representations for Information Retrieval. - Athanasios Vlontzos; Yueqi Cao; Luca Schmidtke; Bernhard Kainz; Anthea Monod (CoRR, 2021)

Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft. - Athanasios Vlontzos; Gabriel Sutherland; Siddha Ganju; Frank Soboczenski (CoRR, 2021)

Estimating the probabilities of causation via deep monotonic twin networks. - Athanasios Vlontzos; Bernhard Kainz; Ciarán M. Gilligan-Lee (CoRR, 2021)

Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering. - Luca Schmidtke; Benjamin Hou; Athanasios Vlontzos; Bernhard Kainz (ECCV Workshops (3), 2022)

nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. - Matthew Baugh; Jeremy Tan; Athanasios Vlontzos; Johanna P. Müller; Bernhard Kainz (UNSURE@MICCAI, 2022)

Adnexal Mass Segmentation with Ultrasound Data Synthesis. - Clara Lebbos; Jen Barcroft; Jeremy Tan; Johanna P. Müller; Matthew Baugh; Athanasios Vlontzos; Srdjan Saso; Bernhard Kainz (ASMUS@MICCAI, 2022)

D'ARTAGNAN: Counterfactual Video Generation. - Hadrien Reynaud; Athanasios Vlontzos; Mischa Dombrowski; Ciarán M. Gilligan-Lee; Arian Beqiri; Paul Leeson; Bernhard Kainz (MICCAI (8), 2022)

Is More Data All You Need? A Causal Exploration. - Athanasios Vlontzos; Hadrien Reynaud; Bernhard Kainz (CoRR, 2022)

A Review of Causality for Learning Algorithms in Medical Image Analysis. - Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (CoRR, 2022)

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. - Tianrui Liu; Qingjie Meng; Junjie Huang 001; Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Image Process., 2022)

Non-parametric identifiability and sensitivity analysis of synthetic control models. - Jakob Zeitler; Athanasios Vlontzos; Ciarán Mark Gilligan-Lee (CLeaR, 2023)

Estimating categorical counterfactuals via deep twin networks. - Athanasios Vlontzos; Bernhard Kainz; Ciarán M. Gilligan-Lee (Nat. Mac. Intell., 2023)

Benchmarking Counterfactual Image Generation. - Thomas Melistas; Nikos Spyrou; Nefeli Gkouti; Pedro Sanchez; Athanasios Vlontzos; Yannis Panagakis; Giorgos Papanastasiou; Sotirios A. Tsaftaris (NeurIPS, 2024)

Unsupervised Similarity Learning for Image Registration with Energy-Based Models. - Daniel Grzech; Loïc Le Folgoc; Mohammad Farid Azampour; Athanasios Vlontzos; Ben Glocker; Nassir Navab; Julia A. Schnabel; Bernhard Kainz (WBIR, 2024)

Benchmarking Counterfactual Image Generation. - Thomas Melistas; Nikos Spyrou; Nefeli Gkouti; Pedro Sanchez; Athanasios Vlontzos; Giorgos Papanastasiou; Sotirios A. Tsaftaris (CoRR, 2024)

Contrastive representations of high-dimensional, structured treatments. - Oriol Corcoll; Athanasios Vlontzos; Michael O'Riordan; Ciarán M. Gilligan-Lee (CoRR, 2024)

The Hardness of Validating Observational Studies with Experimental Data. - Jake Fawkes; Michael O'Riordan; Athanasios Vlontzos; Oriol Corcoll; Ciarán Mark Gilligan-Lee (AISTATS, 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)