Athanasios Vlontzos

According to our database, Athanasios Vlontzos authored at least 27 papers between 2017 and 2024.

Collaborative distances:

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

2024

Benchmarking Counterfactual Image Generation.

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

CoRR, 2024

2023

Estimating categorical counterfactuals via deep twin networks.

Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee

Nat. Mac. Intell., February, 2023

Non-parametric identifiability and sensitivity analysis of synthetic control models.

Jakob Zeitler, Athanasios Vlontzos, Ciarán Mark Gilligan-Lee

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net.

Tian-Rui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz

IEEE Trans. Image Process., 2022

A Review of Causality for Learning Algorithms in Medical Image Analysis.

Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz

CoRR, 2022

Is More Data All You Need? A Causal Exploration.

Athanasios Vlontzos, Hadrien Reynaud, Bernhard Kainz

CoRR, 2022

D'ARTAGNAN: Counterfactual Video Generation.

Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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

Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods.

Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering.

Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Estimating the probabilities of causation via deep monotonic twin networks.

Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee

CoRR, 2021

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net.

Tianrui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz

CoRR, 2021

Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft.

Athanasios Vlontzos, Gabriel Sutherland, Siddha Ganju, Frank Soboczenski

CoRR, 2021

Topological Data Analysis of Database Representations for Information Retrieval.

Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod

CoRR, 2021

Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation.

Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Unsupervised Human Pose Estimation Through Transforming Shape Templates.

Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Causal Future Prediction in a Minkowski Space-Time.

Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz

CoRR, 2020

3D Probabilistic Segmentation and Volumetry from 2D Projection Images.

Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz

Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

Ultrasound Video Summarization Using Deep Reinforcement Learning.

Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

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

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

Multiple Landmark Detection Using Multi-agent Reinforcement Learning.

Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps.

Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2018

Deep Segmentation and Registration in X-Ray Angiography Video.

Athanasios Vlontzos, Krystian Mikolajczyk

Proceedings of the British Machine Vision Conference 2018, 2018

2017

The RNN-ELM classifier.

Athanasios Vlontzos

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017